<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Kim, Jiseon</style></author><author><style face="normal" font="default" size="100%">Chung, Hyewon</style></author><author><style face="normal" font="default" size="100%">Salem, Rana</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">People with multiple sclerosis report significantly worse symptoms and health related quality of life than the US general population as measured by PROMIS and NeuroQoL outcome measures.</style></title><secondary-title><style face="normal" font="default" size="100%">Disabil Health J</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018 Jan</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">99-107</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;BACKGROUND: &lt;/b&gt;Individuals with multiple sclerosis (MS) report fatigue, pain, depression, cognitive difficulties, and other symptoms. It is often difficult to compare symptoms across studies and populations because scales used to measure individual symptoms or quality of life indicators (QOLI) use different metrics and often do not provide norms. PROMIS and Neuro-QOL measures, developed with modern psychometric methods, use a common metric and provide population norms.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;OBJECTIVE: &lt;/b&gt;To create symptom profiles and compare symptoms and QOLIs of people living with MS to a US general population sample.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;METHODS: &lt;/b&gt;Data from observational cross-sectional survey studies of 1544 community dwelling individuals with MS were analyzed. T-tests and non-parametric tests were used to examine whether symptoms or QOLIs of people with MS differed from the general US population. Regression analyses were used to adjust differences for age and sex. Measures included PROMIS or NeuroQoL anxiety, depression, fatigue, sleep disturbance and related impairment, pain interference, physical function, satisfaction with social roles, and applied cognition. Symptom levels were also compared by age, gender, and disability level.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;Scores on all health domains were statistically significantly (all p&amp;nbsp;&amp;lt;&amp;nbsp;0.001) worse than the general US population and six domains had scores worse by half standard deviation or more. These differences remained significant after adjusting for age and sex.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;CONCLUSIONS: &lt;/b&gt;Individuals with MS report clinically meaningful worse health compared to the general population across multiple health related domains. Symptom profiles utilizing PROMIS or NeuroQoL measures can be used to quickly assess symptom levels in an individual or group.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Edwards, Karlyn A</style></author><author><style face="normal" font="default" size="100%">Alschuler, Kevin A</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Battalio, Samuel L</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Changes in Resilience Predict Function in Adults With Physical Disabilities: A Longitudinal Study.</style></title><secondary-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017 Feb</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">98</style></volume><pages><style face="normal" font="default" size="100%">329-336</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;OBJECTIVES: &lt;/b&gt;(1) To determine if resilience exhibits similar stability across time as depression, fatigue, and sleep quality; and (2) to determine if changes in resilience over a period of 1 year are associated with changes in depression, fatigue, sleep quality, and physical function over the same time period.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;DESIGN: &lt;/b&gt;Observational longitudinal survey study with measures administered 2 times, 1 year apart.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;SETTING: &lt;/b&gt;Community-based population sample.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;PARTICIPANTS: &lt;/b&gt;Adults with physical disabilities (N=893).&lt;/p&gt;
&lt;p&gt;&lt;b&gt;INTERVENTIONS: &lt;/b&gt;Not applicable.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;MAIN OUTCOME MEASURES: &lt;/b&gt;Primary outcomes were measures of resilience (Connor-Davidson Resilience Scale), depression (Patient Health Questionnaire-9), fatigue (Patient-Reported Outcomes Measurement Information System [PROMIS] Fatigue Short Form), sleep quality (PROMIS Sleep Disturbance), and physical function (8-item PROMIS Physical Functioning).&lt;/p&gt;
&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;Resilience (r=.71, P&amp;lt;.001) exhibited similar stability over 1 year to depression (r=.71, P&amp;lt;.001), fatigue (r=.79, P&amp;lt;.001), and sleep quality (r=.68, P&amp;lt;.001). A decrease in resilience was associated with an increase in depression (F1,885=70.23; P&amp;lt;.001; R(2)=.54) and fatigue (F1,885=25.66; P&amp;lt;.001; R(2)=.64), and an increase in resilience was associated with improved sleep quality (F1,885=30.76; P&amp;lt;.001; R(2)=.48) and physical function (F1,885=16.90; P&amp;lt;.001; R(2)=.86) over a period of 1 year, while controlling for age, sex, and diagnosis.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;CONCLUSIONS: &lt;/b&gt;Resilience exhibits similar test-retest stability as other important domains that are often treatment targets. Changes in resilience were associated with changes in depression, fatigue, sleep quality, and physical functioning over the course of 1 year. Further longitudinal and experimental research is warranted to investigate the potential causal effect of changes in resilience on quality of life in individuals with physical disabilities.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Crabb, C.</style></author><author><style face="normal" font="default" size="100%">Bowers, A</style></author><author><style face="normal" font="default" size="100%">Owen, R.</style></author><author><style face="normal" font="default" size="100%">Heller, Tamar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Appraisal of Personal Support Workers by Medicaid Managed Care Enrollees Aging with Disabilities</style></title><secondary-title><style face="normal" font="default" size="100%">American Public Health Association Annual Meeting and Expo</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bowers, Anne</style></author><author><style face="normal" font="default" size="100%">Owen, Randall</style></author><author><style face="normal" font="default" size="100%">Heller, Tamar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Care coordination experiences of people with disabilities enrolled in medicaid managed care.</style></title><secondary-title><style face="normal" font="default" size="100%">Disabil Rehabil</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016 Aug 22</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">1-8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;PURPOSE: To understand the impact of experience and contacts with care coordinators on Medicaid Managed Care (MMC) enrollees with disabilities. METHOD: Primary data was collected from a random sample of 6000 out of the 100,000 people with disabilities enrolled in one state&amp;#39;s mandatory MMC program. Surveys were conducted through the mail, telephone, and Internet; 1041 surveys were completed. The sample used for analysis included 442 MMC enrollees who received care coordination. Regression analyses were conducted with the outcomes of number of unmet health care needs and enrollee appraisal of the health services they received. Race, age, gender, and disability variables controlled for demographic differences, and the independent variables included enrollee experience with a care coordinator (coordinator knowledge of enrollee medical history and whether the coordinator took into account enrollee wishes and input) and frequency of contact with a care coordinator. RESULTS: Positive enrollee experiences with care coordinators significantly related to more positive enrollee health service appraisals and fewer unmet health care needs; frequency of contact did not have any significant impacts. People with mental health disabilities and intellectual/developmental disabilities had significantly lower health service appraisals. People with mental health disabilities had significantly more unmet needs. CONCLUSIONS: Quality of care coordination, but not frequency of contact alone, is associated with better health outcomes for MMC enrollees. Implications for rehabilitation Care coordination is a core component of managed care and facilitates effective healthcare management for people with complex chronic conditions and disabilities. Better experiences with care coordinators is related to fewer unmet healthcare needs and more positive health care service appraisals for Medicaid managed care enrollees. The continuous development of person-centered care coordination strategies and training programs emphasizing quality relationships between coordinators and consumers should be prioritized.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bowers, A</style></author><author><style face="normal" font="default" size="100%">Crabb, C.</style></author><author><style face="normal" font="default" size="100%">Owen, R.</style></author><author><style face="normal" font="default" size="100%">Heller, Tamar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Experiences of Medicaid Enrollees with Disabilities in the Transition to Managed Care: Qualitative Analysis of Consumer Survey Responses</style></title><secondary-title><style face="normal" font="default" size="100%">American Public Health Association Annual Meeting and Expo</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Bagli, Nikki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Incidence and age of onset of chronic comorbid health conditions</style></title><secondary-title><style face="normal" font="default" size="100%">Annual Meeting of the Gerontological Society of North America</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Edwards, Karlyn A</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Battalio, Samuel L</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Relative Importance of Baseline Pain, Fatigue, Sleep, and Physical Activity: Predicting Change in Depression in Adults With Multiple Sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016 Mar 23</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: To determine whether baseline levels of pain, fatigue, sleep disturbance, and physical activity measured at the initial assessment predicted the development of or improvement of depression 3.5 years later, while controlling for sex, age, and disease severity. DESIGN: Observational, longitudinal survey study. SETTING: A community-based population sample. PARTICIPANTS: Adults with multiple sclerosis (MS) (N=489). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Primary outcome was classification of depression group measured using a Patient Health Questionnaire-9 cutoff score&amp;nbsp;&amp;ge;10, indicating probable major depression. RESULTS: Fatigue severity (odds ratio, 1.19; 95% confidence interval, 1.12-1.26; P&amp;lt;.0001) and sleep disturbance (odds ratio, 1.06; 95% confidence interval, 1.02-1.10; P=.001) predicted probable major depression 3.5 years later among those not depressed at the initial assessment. An effect of age (odds ratio, .96; 95% confidence interval, .92-.99; P=.008) was found among those who developed depression, indicating that younger adults were more likely to develop depression. Pain, fatigue, sleep, and physical activity at baseline were not significantly associated with recovery from depression among those depressed at the initial assessment. CONCLUSIONS: Fatigue and sleep may contribute to the development of depression. Clinical trial research targeting these variables to determine their influence on depression is warranted.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Battalio, Samuel L</style></author><author><style face="normal" font="default" size="100%">Silverman, Arielle M</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Edwards, Karlyn A</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Resilience and Function in Adults With Physical Disabilities: An Observational Study.</style></title><secondary-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016 Dec 18</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;b&gt;OBJECTIVES: &lt;/b&gt;To determine if resilience is uniquely associated with functional outcomes (satisfaction with social roles, physical functioning, and quality of life) in individuals with physical disabilities, after controlling for measures of psychological health (depression and anxiety) and symptom severity (pain, fatigue, and sleep disturbance); and to examine the potential moderating effect of sex, age, and diagnosis on the hypothesized associations between resilience and function.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;DESIGN: &lt;/b&gt;Cross-sectional survey study.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;SETTING: &lt;/b&gt;Surveys were mailed (81% response rate) to a community sample of 1949 individuals with multiple sclerosis, muscular dystrophy, postpoliomyelitis syndrome, or spinal cord injury. Participants were recruited through the Internet or print advertisement (28%), a registry of previous research participants who indicated interest in future studies (21%), a departmental registry of individuals interested in research (19%), disability-specific registries (18%), word of mouth (10%), or other sources (3%).&lt;/p&gt;
&lt;p&gt;&lt;b&gt;PARTICIPANTS: &lt;/b&gt;Convenience sample of community-dwelling adults aging with physical disabilities (N=1574), with a mean Connor-Davidson Resilience Scale (10 items) score of&amp;nbsp;29.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;INTERVENTIONS: &lt;/b&gt;Not applicable.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;MAIN OUTCOME MEASURES: &lt;/b&gt;Patient-Reported Outcomes Measurement Information System measures of Satisfaction with Social Roles and Activities and Physical Functioning, the World Health Organization&amp;#39;s brief Older People&amp;#39;s Quality of Life Questionnaire, and the Connor-Davidson Resilience Scale (10 items).&lt;/p&gt;
&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;After controlling for age, age squared, sex, diagnosis, psychological health, and symptom severity, resilience was significantly and positively associated with satisfaction with social roles (&amp;beta;=.17, P&amp;lt;.001) and quality of life (&amp;beta;=.39, P&amp;lt;.001), but not physical function (&amp;beta;=.04, P&amp;gt;.05). For every 1-point increase in scores of resilience, there was an increase of .50 in the quality of life score and .20 in the satisfaction with social roles score. Sex also moderated the association between resilience and satisfaction with social roles (F1,1453=4.09, P=.043).&lt;/p&gt;
&lt;p&gt;&lt;b&gt;CONCLUSIONS: &lt;/b&gt;The findings extend past research, providing further evidence indicating that resilience plays a unique role in nonphysical functional outcomes among individuals with physical disabilities.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Bagli, Nikki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Testing the efficacy of an evidence-based wellness program for older adults with physical disability</style></title><secondary-title><style face="normal" font="default" size="100%">Annual Meeting of the Gerontological Society of North America</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chung, Hyewon</style></author><author><style face="normal" font="default" size="100%">Kim, Jiseon</style></author><author><style face="normal" font="default" size="100%">Park, Ryoungsun</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Bocell, Fraser D</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Testing the measurement invariance of the University of Washington Self-Efficacy Scale short form across four diagnostic subgroups.</style></title><secondary-title><style face="normal" font="default" size="100%">Qual Life Res</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016 Apr 26</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;PURPOSE: The University of Washington Self-Efficacy Scale (UW-SES) was originally developed for people with multiple sclerosis (MS) and spinal cord injury (SCI). This study evaluates the measurement invariance of the 6-item short form of the UW-SES across four disability subgroups. Evidence of measurement invariance would extend the UW-SES for use in two additional diagnostic groups: muscular dystrophy (MD) and post-polio syndrome (PPS). METHODS: Multi-group confirmatory factor analysis was used to evaluate successive levels of measurement invariance of the 6-item short form, the UW-SES: (a) configural invariance, i.e., equivalent item-factor structures between groups; (b) metric invariance, i.e., equivalent unstandardized factor loadings between groups; and (c) scalar invariance, i.e., equivalent item intercepts between groups. Responses from the four groups with different diagnostic disorders were compared: MD (n&amp;nbsp;=&amp;nbsp;172), MS (n&amp;nbsp;=&amp;nbsp;868), PPS (n&amp;nbsp;=&amp;nbsp;225), and SCI (n&amp;nbsp;=&amp;nbsp;242). RESULTS: The results of this study support that the most rigorous form of invariance (i.e., scalar) holds for the 6-item short form of the UW-SES across the four diagnostic subgroups. CONCLUSIONS: The current study suggests that the 6-item short form of the UW-SES has the same meaning across the four diagnostic subgroups. Thus, the 6-item short form is validated for people with MD, MS, PPS, and SCI.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Beier, Meghan L</style></author><author><style face="normal" font="default" size="100%">Elzea, Jamie L</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A comparison of multiple patient reported outcome measures in identifying major depressive disorder in people with multiple sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">J Psychosom Res</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015 Dec</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">79</style></volume><pages><style face="normal" font="default" size="100%">550-7</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Depression is one of the most prominent and debilitating symptoms in individuals with multiple sclerosis (MS), yet there is currently no consensus on the best instruments for depression screening in MS. More head to head comparisons of available screening instruments are needed to advise MS researchers and clinicians. METHODS: A cross-sectional comparison of the effectiveness of screening for MDD using multiple patient reported outcome (PRO) screeners against a modified SCID telephone interview was completed in 164 individuals with MS. Stratum goals were set for depression levels to ensure participation by people with borderline and higher levels of depression. Criterion standard was a modified SCID MDD module. PRO measures included the PHQ-9, BDI-FS, PROMIS depression, Neuro-QOL depression, M-PHQ-2, PHQ-2, and CESD. RESULTS: 48 (29%) individuals met the modified SCID criteria for MDD. The sensitivity of the PRO measures ranged from 60% to 100% while specificity ranged from 46% to 86%. The ROC area for the PRO measures ranged from 0.79 to 0.83. Revised (higher) cutoff scores were suggested by the ROC analyses for most self-reported screeners. LIMITATIONS: Enrollment was stopped early because of difficulties with recruitment. Several SCID recording could not be reviewed and diagnosis confirmed. CONCLUSIONS: CESD-10 and PHQ9 had the best diagnostic performance using optimal cutoffs, but no one PRO measure stood out as significantly better than any other. Even when revised cutoff scores were used, none of the self-reported screeners identified people with MDD with adequate accuracy. More accurate self-reported screeners would facilitate diagnosing of MDD for both research and clinical purposes.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Owen, Randall</style></author><author><style face="normal" font="default" size="100%">Heller, Tamar</style></author><author><style face="normal" font="default" size="100%">Bowers, Anne</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Health services appraisal and the transition to Medicaid Managed Care from fee for service.</style></title><secondary-title><style face="normal" font="default" size="100%">Disabil Health J</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Disabil Health J</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015 Oct 24</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">ENG</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Many states are transitioning fee-for-service (FFS) Medicaid into Medicaid Managed Care (MMC) for people with disabilities. OBJECTIVE: This study examined managed care&amp;#39;s impact on health services appraisal (HSA) and unmet medical needs of individuals with disabilities receiving Medicaid. Key questions included 1) Do participant demographics and enrollment in MMC impact unmet medical needs and HSA? 2) Within MMC, do demographics and continuity of care relate to unmet medical needs? 3) Within MMC, do demographics, unmet medical needs and continuity of care relate to HSA? METHODS: We collected cross-sectional survey data (n&amp;nbsp;=&amp;nbsp;1615) from people with disabilities in MMC operated by for-profit insurance companies (n&amp;nbsp;=&amp;nbsp;849) and a similar group remaining in FFS (n&amp;nbsp;=&amp;nbsp;766) in one state. Regression analyses were conducted across these groups and within MMC only. RESULTS: Across Medicaid groups, MMC enrollment was not related to either HSA or unmet needs; health status, having a mental health disability and unmet transportation needs related to HSA and health status, unmet transportation needs and having a mental health or physical disability related to higher unmet medical needs. Within MMC, in addition to better health and fewer unmet medical needs, less continuity of care significantly decreased HSA. Higher unmet transportation needs, poorer health status, having a physical or mental health disability, and less continuity of care significantly decreased unmet medical needs. CONCLUSIONS: This research points to the importance of meeting unmet needs of individuals in MMC and the need for increased continuity of care as people transition from FFS.&lt;/p&gt;
</style></abstract><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/26632026?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Stobbe, G.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Hertz, D.</style></author></secondary-authors><tertiary-authors><author><style face="normal" font="default" size="100%">Kraft, G.</style></author><author><style face="normal" font="default" size="100%">Alschuler, K.</style></author><author><style face="normal" font="default" size="100%">Wundes, A.</style></author><author><style face="normal" font="default" size="100%">Unruh, K.</style></author><author><style face="normal" font="default" size="100%">Reynolds, P.</style></author><author><style face="normal" font="default" size="100%">Kalb, R.</style></author><author><style face="normal" font="default" size="100%">Beier, M.</style></author><author><style face="normal" font="default" size="100%">Alexander, K.</style></author><author><style face="normal" font="default" size="100%">Scott, J.</style></author><author><style face="normal" font="default" size="100%">Johnson, K.</style></author></tertiary-authors></contributors><titles><title><style face="normal" font="default" size="100%">MS ECHO: Innovative Project to Improve the Capacity of Providers  in Underserved Areas to Treat MS</style></title><secondary-title><style face="normal" font="default" size="100%">Consortium of Multiple Sclerosis Centers</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Askew, Robert L</style></author><author><style face="normal" font="default" size="100%">Kim, Jiseon</style></author><author><style face="normal" font="default" size="100%">Chung, Hyewon</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Kraft, George H</style></author><author><style face="normal" font="default" size="100%">Jones, Salene M</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pain affects depression through anxiety, fatigue, and sleep in multiple sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">Rehabil Psychol</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Anxiety Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Chronic Pain</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-Sectional Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Depressive Disorder</style></keyword><keyword><style  face="normal" font="default" size="100%">Fatigue</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple Sclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality of Life</style></keyword><keyword><style  face="normal" font="default" size="100%">Sleep Wake Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Surveys and Questionnaires</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015 Feb</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">60</style></volume><pages><style face="normal" font="default" size="100%">81-90</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: Over a quarter million individuals in the United States have multiple sclerosis (MS). Chronic pain and depression are disproportionately high in this population. The purpose of this study was to examine the relationship between chronic pain and depression in MS and to examine potentially meditational effects of anxiety, fatigue, and sleep. METHOD: We used cross-sectional data from self-reported instruments measuring multiple symptoms and quality of life indicators in this study. We used structural equation modeling to model direct and indirect effects of pain on depression in a sample of 1,245 community-dwelling individuals with MS. Pain interference, depression, fatigue, and sleep disturbance were modeled as latent variables with 2 to 3 indicators each. The model controlled for age, sex, disability status (Expanded Disability Status Scale), and social support. RESULTS: A model with indirect effects of pain on depression had adequate fit and accounted for nearly 80% of the variance in depression. The effects of chronic pain on depression were almost completely mediated by fatigue, anxiety, and sleep disturbance. Higher pain was associated with greater fatigue, anxiety, and sleep disturbance, which in turn were associated with higher levels of depression. The largest mediating effect was through fatigue. Additional analyses excluded items with common content and suggested that the meditational effects observed were not attributable to content overlap across scales. CONCLUSION: Individuals living with MS who report high levels of chronic pain and depressive symptoms may benefit from treatment approaches that can address sleep, fatigue, and anxiety.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Thomas E. McNalley</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Anjali R. Truitt</style></author><author><style face="normal" font="default" size="100%">Katherine G. Schomer</style></author><author><style face="normal" font="default" size="100%">Baylor, Carolyn</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Review of Secondary Health Conditions in Postpolio Syndrome: Prevalence and Effects of Aging.</style></title><secondary-title><style face="normal" font="default" size="100%">Am J Phys Med Rehabil</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Aug 13</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">94</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: This study sought to better understand the prevalence and the severity of secondary health conditions in individuals with postpolio syndrome (PPS) as well as the association between these conditions and aging. DESIGN: A scoping literature review was conducted searching electronic databases for studies published from 1986 to 2011. The scoping review provided information regarding the prevalence and associations of secondary health conditions in PPS with age or other duration-related variables. RESULTS: The findings indicate that (1) individuals with PPS experience a number of serious secondary health conditions; (2) the most common conditions or symptoms are fatigue, pain, respiratory and sleep complaints, and increased risk for falls; (3) reports of the associations between the frequency or the severity of conditions and age-related factors are variable, perhaps because of methodological inconsistencies between studies; and (4) there is a marked lack of longitudinal research examining the natural course of health conditions in people aging with PPS. CONCLUSIONS: Longitudinal research is needed to understand the course of health conditions and the impact of multiple secondary conditions in people aging with PPS. Efforts are also needed to develop and test the efficacy of interventions to prevent these secondary health conditions or reduce their negative impact.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">139</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rodakowski, Juleen</style></author><author><style face="normal" font="default" size="100%">Skidmore, Elizabeth R</style></author><author><style face="normal" font="default" size="100%">Anderson, Stewart J</style></author><author><style face="normal" font="default" size="100%">Begley, Amy</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Buhule, Olive D</style></author><author><style face="normal" font="default" size="100%">Boninger, Michael L</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Additive effect of age on disability for individuals with spinal cord injuries.</style></title><secondary-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Activities of Daily Living</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Age of Onset</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Cohort Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Disability Evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">Disabled Persons</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Follow-Up Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Injury Severity Score</style></keyword><keyword><style  face="normal" font="default" size="100%">Length of Stay</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Paraplegia</style></keyword><keyword><style  face="normal" font="default" size="100%">Prospective Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Quadriplegia</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Time Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Treatment Outcome</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Jun</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">95</style></volume><pages><style face="normal" font="default" size="100%">1076-82</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: To examine the additive effect of age on disability for adults with spinal cord injury (SCI). DESIGN: Prospective cohort study. SETTING: SCI Model Systems. PARTICIPANTS: Individuals with SCI (median age at injury, 32 y; range, 6-88 y) with a discharge motor FIM score and at least 1 follow-up motor FIM score who also provided measures of other covariates (N=1660). Of the total sample, 79% were men, 72% were white, 16% had incomplete paraplegia, 33% had complete paraplegia, 30% had incomplete tetraplegia, and 21% had complete tetraplegia. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The primary study outcome was the motor subscale of the FIM. A mixed-models approach was used to examine the additive effect of age on disability for individuals with SCI. RESULTS: When controlling for motor FIM at discharge from rehabilitation, level and severity of injury, age at injury, sex, race, and the age &amp;times; time interaction were not significant (P=.07). Age at the time of SCI was significantly associated with motor FIM (F1,238=22.49, P&amp;lt;.001). Two sensitivity analyses found significant interactions for both age &amp;times; time (P=.03, P=.02) and age &amp;times; time-square (P=.01, P=.006) models. Trajectory of motor FIM scores is moderated slightly by age at the time of injury. The older participants were at the time of injury, the greater the curvature and the more rapid decline were found in later years. CONCLUSIONS: These findings indicate that age moderately influences disability for some individuals with SCI: the older the age at the time of injury, the greater the influence age has on disability. The findings serve as an important empirical foundation for the evaluation and development of interventions designed to augment accelerated aging experienced by individuals with SCI.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Baylor, Carolyn</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Communicative participation restrictions in multiple sclerosis: Associated variables and correlation with social functioning.</style></title><secondary-title><style face="normal" font="default" size="100%">J Commun Disord</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 May 26</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">Epub Ahead of Print</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Individuals with multiple sclerosis (MS) are at risk for communication problems that may restrict their ability to take participation in important life roles such as maintenance of relationships, work, or household management. The aim of this project is to examine selected demographic and symptom-related variables that may contribute to participation restrictions. This examination is intended to aid clinicians in predicting who might be at risk for such restrictions and what variables may be targeted in interventions. Community-dwelling adults with MS (n=216) completed a survey either online or using paper forms. The survey included the 46-item version of the Communicative Participation Item Bank, demographics (age, sex, living situation, employment status, education, and time since onset of diagnosis of MS), and self-reported symptom-related variables (physical activity, emotional problems, fatigue, pain, speech severity, and cognitive/communication skills). In order to identify predictors of restrictions in communicative participation, these variables were entered into a backwards stepwise multiple linear regression analysis. Five variables (cognitive/communication skills, speech severity, speech usage, physical activity, and education) were statistically significant predictors of communication participation. In order to examine the relationship of communicative participation and social role variables, bivariate Spearman correlations were conducted. Results suggest only a fair to moderate relationship between communicative participation and measures of social roles. Communicative participation is a complex construct associated with a number of self-reported variables. Clinicians should be alert to risk factors for reduced communicative participation including reduced cognitive and speech skills, lower levels of speech usage, limitations in physical activities and higher levels of education. Learning outcomes: The reader will be able to: (a) describe the factors that may restrict participation in individuals with multiple sclerosis; (b) list measures of social functioning that may be pertinent in adults with multiple sclerosis; (c) discuss factors that can be used to predict communicative participation in multiple sclerosis.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fogelberg, Donald J</style></author><author><style face="normal" font="default" size="100%">Vitiello, Michael V</style></author><author><style face="normal" font="default" size="100%">Hoffman, Jeanne M</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of Self-Report Sleep Measures for Individuals With Multiple Sclerosis and Spinal Cord Injury.</style></title><secondary-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Oct 23</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: To investigate self-report measures of sleep disturbances and sleep-related impairments in samples of individuals with multiple sclerosis (MS) or spinal cord injury (SCI). DESIGN: Cross-sectional survey. SETTING: Community based. PARTICIPANTS: Adults (age &amp;ge;18y) (N=700) with either MS (n=461) or SCI (n=239) who were enrolled in a longitudinal survey of self-reported health outcomes and who completed self-report sleep measures at 1 time point. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Medical Outcomes Study Sleep Scale (MOS-S), Patient Reported Outcomes Measurement Information System (PROMIS) sleep disturbance short form, and PROMIS sleep-related impairments short form. RESULTS: Mean scores on the MOS-S sleep index II were significantly worse for both the MS and SCI samples than those of previously reported samples representative of the U.S. general population (P&amp;lt;.0001 for each group). The PROMIS sleep disturbance short form and PROMIS sleep-related impairments short form scores of the MS sample were also significantly different from those reported for the calibration cohort (P&amp;lt;.0001 on each scale). However, although the scores of the SCI sample were significantly different from those of the comparison cohort for the PROMIS sleep-related impairments short form (P=.045), the differences on the PROMIS sleep disturbance short form were not significant (P=.069). CONCLUSIONS: Although the MOS-S scores for the MS and SCI cohorts clearly indicated significantly high levels of sleep-related problems and were consistent with existing literature, the more ambiguous findings from the PROMIS sleep disturbance short form and PROMIS sleep-related impairments short form suggest that not enough is currently known about how these instruments function when applied to those with chronic neurologic dysfunction.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Heller, Tamar</style></author><author><style face="normal" font="default" size="100%">Owen, Randall</style></author><author><style face="normal" font="default" size="100%">Bowers, A</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Impact of Medicaid Managed Care on Health Services Appraisal and Access of Adults with Disabilities</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><pub-location><style face="normal" font="default" size="100%">Poster presented at Gerontological Society of America’s (GSA) Annual Scientific Meeting, Washington DC</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; This study examines the health care experiences and access of people with disabilities in Medicaid receiving managed care (MC) versus those in fee for services (FFS) health care over two years&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt;&amp;nbsp; The study uses survey data from 817 individuals (430 in MC and 387 in FFS) two years after the start of the MC initiative in addition to encounter data on health care utilization from the population of 39,653 in MC and 68,839 in FFS. The survey includes measures of health care appraisal, ease of receiving medication, and ease of using transportation. Health care utilization comprises emergency room (ER) use and days in the hospital. &amp;nbsp;Regression analyses with these outcomes included the Independent variables of age, gender, race, disability type, and enrollment in MC versus FFS.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt;&amp;nbsp; &amp;nbsp;Health care appraisal and ease of receiving medication did not differ between the MC and FFS groups. However, people with physical disabilities in MC reported a worse appraisal versus FFS, while people with a mental health disability in MC reported a better appraisal versus people in FFS (p&amp;lt;.05). Also, people with physical disabilities had better access to prescriptions in MC (p &amp;lt;.05).Transportation assistance was more positive (p &amp;lt;.01) for people in MC. &amp;nbsp;Both ER use and days in hospital decreased (-8% and -18%) for people in MC and increased for people in FFS (5%).&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Conclusion&lt;/strong&gt;: As MC approaches increase for Medicaid participants with disabilities it is important to assess the differential experiences of various disability groups within MC and in comparison to FFS.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yorkston, Kathryn</style></author><author><style face="normal" font="default" size="100%">Baylor, Carolyn</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Integrating Development of Self-Efficacy into Treatment Decisions</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><pub-location><style face="normal" font="default" size="100%">Oral presentation at the American Speech-Language-Hearing Association’s Convention, Orlando, Florida</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Summary&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Definitions:&amp;nbsp; &lt;/u&gt;&lt;/p&gt;
&lt;p&gt;People living with chronic communication problems such as aphasia learn to manage their own conditions.&amp;nbsp; They decide whether or not to adhere to exercise programs, to participate in social activities and roles, and to use the health-care resources available to them. Self-management is based on the idea that those with a chronic condition should take an active, central role in managing their disease, secondary conditions, and health care (Rae-Grant et al, 2011). Development of self-efficacy is an important component of self-management. &lt;u&gt;Self-efficacy&lt;/u&gt; is the belief in one&amp;rsquo;s ability to produce the effects or outcomes one wants (Bandura, 1977).&amp;nbsp; Because self-efficacy can be taught, speech-language pathologists should incorporate principles of self-efficacy into treatment plans.&amp;nbsp; Bandura suggests self-efficacy can be improved by focusing on four factors that are potentially amendable to intervention: performance accomplishment, vicarious experience, verbal persuasion and maintenance of an optimal physiological state.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Background&lt;/u&gt; &lt;u&gt;of Qualitative &amp;amp; Quantitative Research&lt;/u&gt;&lt;/p&gt;
&lt;p&gt;Self-efficacy has been studied in people with various communication disorders including, voice disorders, stuttering, and hearing loss.&amp;nbsp; Recently, Runne (2012) conducted a series of semi-structured interviews with people in the chronic phase of stroke.&amp;nbsp; The five participants experienced either aphasia, dysarthria or both.&amp;nbsp; Questions related to their level of confidence regarding communication and the development of confidence over time.&amp;nbsp; Thematic analysis suggests that progress requires hard work, develops over a long period of time, and involves &amp;ldquo;working with what you have.&amp;rdquo;&amp;nbsp; Participants indicated that their family member&amp;rsquo;s role should be one of encouragement and praise.&amp;nbsp; For healthcare providers, the suggestions included &amp;ldquo;treat me like an individual and take time to get to know me.&amp;rdquo;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In a series of focus groups, we asked people aging with chronic physical disability to help us define the meaning of &amp;ldquo;aging well with disability.&amp;rdquo;&amp;nbsp; Many participants alluded to issues related to self-efficacy.&amp;nbsp; One participant told us, &amp;ldquo;successful aging with disability is recreating yourself.&amp;rdquo; Another indicated that successful aging was &amp;ldquo;to pull yourself up by your own bootstraps and do the things you need to do . . and want to do.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Treatment Decisions:&lt;/u&gt;&amp;nbsp; In planning and implementing treatment, clinicians and clients should share in the decisions.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Participation Focused Intervention&lt;/u&gt;:&amp;nbsp; Because it is important that intervention be individualized, targeted to real-world communication situations and focused on development of self-efficacy, we use the acronym PACE to describe a four step procedure for developing communication strategies (Yorkston et al, 2006):&lt;/p&gt;
&lt;ul&gt;
	&lt;li&gt;
		Priorities: Given limited energy and resources, it is important for those with communication problems to set priorities, to define what is important.&lt;/li&gt;
	&lt;li&gt;
		Awareness: After setting priorities, people with communication problems need to become aware of potential barriers to participation and the resources available to get around those barriers.&lt;/li&gt;
	&lt;li&gt;
		Constructing the Strategies: &amp;nbsp;Many of the people describe a process where they begin to do things in a different way.&amp;nbsp; Changing how things get done involves constructing and employing a personal set of strategies.&amp;nbsp; At first this is done with the clinician and later, people with communication disorders can set priorities and construct potential strategies independently.&lt;/li&gt;
	&lt;li&gt;
		Evaluation: An important last step in the development of strategies is to evaluate them by asking the question - does the strategy work for me? Evaluation involves weighing cost and benefits of the strategies and modifying them as needed.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;u&gt;Outcome Measures&lt;/u&gt;:&amp;nbsp; Because current healthcare trends demand documentation that healthcare services are regarded as valuable and bring about meaningful change from client perspectives, self-reported outcome measures are becoming increasingly important.&amp;nbsp; Self-reported measures of communicative participation are available (Baylor et al, 2013).&amp;nbsp; This item bank was developed using modern psychometric methods and validated with community-dwelling adults with various communication conditions.&amp;nbsp; A ten item short form is available.&amp;nbsp; A measure of self-efficacy for disease management has also recently been developed using rigorous psychometric methods.&amp;nbsp; Called the University of Washington Self-Efficacy Scale, the full item bank contains 17 items with five response options ranging from &amp;lsquo;not at all (confident)&amp;rsquo; to &amp;lsquo;completely (confident)&amp;rsquo;. Examples of items include: Can you keep your [condition] from being the center of your life? and Can you figure out effective solutions to [condition] related issues that come up? A 6-item short form is also available.&amp;nbsp; Taken together these scales allow clinicians to document treatment outcome both in terms of enhanced participation and self-efficacy.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Conclusions:&lt;/u&gt;&lt;/p&gt;
&lt;p&gt;Understanding the nature of self-efficacy is important for a number of reasons.&amp;nbsp; First, self-efficacy has been shown to be a predictor of physical, cognitive and social functioning.&amp;nbsp; It is also associated with improved health status, health behaviors and reduced medical services usage. It may also be a valuable predictor of healthy aging in individuals with degenerative conditions such as multiple sclerosis. In addition to its value as a predictor, self-efficacy is important because it is increasingly seen as a fruitful target for intervention.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;References&lt;/u&gt;&lt;/p&gt;
&lt;p&gt;Amtmann, D., Bamer, A. M., Cook, K. F., Askew, R. L., Noonan, V. K., &amp;amp; Brockway, J. A. (2012). University of Washington self-efficacy scale: a new self-efficacy scale for people with disabilities. &lt;em&gt;Arch Phys Med Rehabil, 93&lt;/em&gt;(10), 1757-1765.&lt;/p&gt;
&lt;p&gt;Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. &lt;em&gt;Psychological Review, 84&lt;/em&gt;, 191-215.&lt;/p&gt;
&lt;p&gt;Baylor, C., Yorkston, K., Eadie, T., Kim, J., Chung, H., &amp;amp; Amtmann, D. (2013). The Communicative Participation Item Bank (CPIB):&amp;nbsp; Item bank calibration and development of a disorder-generic short form. &lt;em&gt;Journal of Speech Language and Hearing Research, 56&lt;/em&gt;, 1190-1208.&lt;/p&gt;
&lt;p&gt;Rae-Grant, A. D., Turner, A., Sloan, A., Miller, D., Hunziker, J., &amp;amp; Haselkorn, J. (2011). Self-management in neurological disorders: Systematic review of the the literature and potential&amp;nbsp;&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Salem, Rana</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Obesity and symptoms and quality of life indicators of individuals with disabilities.</style></title><secondary-title><style face="normal" font="default" size="100%">Disabil Health J</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Disabil Health J</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Jan</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">124-30</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">BACKGROUND: Health risks of obesity are well known, but effects of obesity on health-related quality of life (HRQOL) have not been well-studied in people with physical disabilities.

OBJECTIVE/HYPOTHESIS: We examined the association between obesity and HRQOL in people with disabilities relative to the general US population. We hypothesized (a) overall, individuals with disabilities will report worse HRQOL than the general US population and (b) obese individuals with disabilities will report worse HRQOL than non-obese individuals.

METHODS: Individuals with muscular dystrophy, multiple sclerosis, post-polio syndrome, and spinal cord injury (N = 1849) completed Patient Reported Outcomes Measurement Information System (PROMIS) measures of fatigue, pain interference, physical and social function, depression, sleep disturbance, and sleep-related impairment. Participants were classified as obese or non-obese based on self-reported weight and height (BMI) and/or waist circumference (WC). PROMIS T-scores were compared to norms and between obesity groups.

RESULTS: Mean BMI was 26.4 kg/m(2) with 23.4% classified as obese. Mean WC was 37.5 inches (males) and 34.0 inches (females); 26.4% reported abdominal obesity. Based on BMI and/or WC, 33.3% (n = 616) were classified obese. Compared to PROMIS norms, obese individuals reported worse HRQOL on all domains (p &lt; 0.0001). Compared to non-obese individuals, obese individuals reported worse functioning on all domains except depression (p &lt; 0.01). Obese individuals with MS and MD reported worse outcomes than non-obese counterparts.

CONCLUSIONS: Obesity in people with physical disabilities is associated with poorer HRQOL. More research is needed to inform clinicians in identifying obese patients and helping them achieve healthy weight, reduce symptom burden, and improve QOL.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/24411517?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Predictors of Self-Efficacy in Individuals Aging with a Disability</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Resilience</style></keyword><keyword><style  face="normal" font="default" size="100%">Satisfaction with Social Role</style></keyword><keyword><style  face="normal" font="default" size="100%">Self-Efficacy</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2014</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Oral presentation at the International Society fo Quality of Life's (ISOQOL) 21st Annual Meeting, Berlin, Germany</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;h3&gt;
	AIMS&lt;/h3&gt;
&lt;p&gt;To examine the association of self-efficacy (SE) related to management of chronic disease with demographic and clinical indicators in individuals aging with physical disability. Self-efficacy is a critical mediator of human behavior and an important target for interventions to improve health outcomes. Changes in SE have been reported to be the best predictors of response to rehabilitation treatments. Understanding the role of SE in people&amp;rsquo;s ability to successfully self-manage and live effectively with physical limitations is important for designing treatments that can lead to better quality of life (QOL).&lt;/p&gt;
&lt;h3&gt;
	METHODS&lt;/h3&gt;
&lt;p&gt;The University of Washington Self-Efficacy Scale (UW-SES) that conceptualizes SE as perceived confidence in managing challenges related to living with a physical disability was used to measure SE. PROMIS&amp;copy; short forms (version 1) were used to measure pain interference, physical function, fatigue and social soles satisfaction. In addition to demographics we measured social support (the Multi-dimensional Scale of Perceived Social Support), depression (PHQ9), resilience (the Connor-Davidson Resiliency scale), interference with participation, and falls. A multivariate regression model was used to examine associations between SE and demographics, and symptoms or QOL indicators.&lt;/p&gt;
&lt;h3&gt;
	RESULTS&lt;/h3&gt;
&lt;p&gt;858 older people (aged 45+) with muscular dystrophy (MD: 18%), multiple sclerosis (MS: 32%), spinal cord injury (SCI: 26%), or post-polio syndrome (PPS: 24%) who participated in a study of aging with a disability responded to a mail survey. Of the 2,041 people invited 1,862 completed it (91% return rate). About a half of the participants were asked to respond to UWSES. The final multivariate model explained 68% of the variance in self-efficacy and included the following statistically significant independent variables: satisfaction with social roles, resilience, pain interference, interference with participation, social support, fatigue, and employment. Age, gender, marital status, education, income, physical function, depression, falls, and overall mobility were not found to be statistically significantly related to SE.&lt;/p&gt;
&lt;h3&gt;
	CONCLUSIONS&lt;/h3&gt;
&lt;p&gt;There is a strong link between SE, social variables and other clinical indicators including resilience, and symptoms of fatigue and pain. Interventions aimed at increasing SE in older adults living with physical disability should include strategies for improving social participation, increasing resiliency, and management of fatigue and pain. &amp;nbsp;&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Terrill, Alexandra L</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author></secondary-authors><tertiary-authors><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author></tertiary-authors><subsidiary-authors><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></subsidiary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Resilience, age, and perceived symptoms in persons with long-term physical disabilities</style></title><secondary-title><style face="normal" font="default" size="100%">J Health Psych</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://hpq.sagepub.com/content/early/2014/05/07/1359105314532973.full.pdf?ijkey=91rn6jjmQeglLhH&amp;keytype=ref</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">published online 8 May 2014</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Resilience may mitigate impact of secondary symptoms such as pain and fatigue on quality of life in persons aging with disability. &amp;nbsp;This study examined resilience in a large sample of individuals with disabling medical conditions by validating the Connor-Davidson Resilience Scale, obtaining descriptive information about resilience and evaluating resilience as a mediator among key secondary symptoms and quality of life using structural equation modeling. &amp;nbsp;Results indicated that the measure&amp;#39;s psychometric properties were adequate in this sample. &amp;nbsp;Resilience was lowest among participants who were middle-aged or younger, and participants with depression. &amp;nbsp;Resilience mediated associations between secondary symptoms and quality of life.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Baylor, Carolyn R</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Truitt, A R</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Scoping Review of Common Secondary Conditions After Stroke and Their Associations with Age and Time Post Stroke</style></title><secondary-title><style face="normal" font="default" size="100%">Topics in Stroke Rehabilitation</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2014</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">371 - 382</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">5</style></issue><section><style face="normal" font="default" size="100%">371</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Miró, Jordi</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Social support, depression, and physical disability: Age and diagnostic group effects.</style></title><secondary-title><style face="normal" font="default" size="100%">Disabil Health J</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Apr</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">164-72</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Social support is an important resource that may benefit individuals aging with physical disabilities, although its effects may vary depending on age, sex, and type of disability. OBJECTIVES: To (1) examine differences in social support - and how support might vary as a function of age and sex - in samples of individuals with multiple sclerosis (MS), spinal cord injury (SCI), and muscular dystrophy (MD) and (2) understand the extent that associations between different support domains and depression might be moderated by disability diagnosis, sex and age. METHODS: A convenience sample (N&amp;nbsp;=&amp;nbsp;1416) of individuals with MS, SCI, and MD completed surveys that included measures of perceived social support and depressive symptoms. RESULTS: No significant support differences were found between diagnostic groups. There was a gradual decrease in social support with chronological age, and women reported more support than men, particularly friend support. Levels of perceived friend support were negatively associated with depression, and the associations between social support and depression did not differ as a function of age, sex, or diagnosis. CONCLUSIONS: Social support is similarly associated with lower levels of depression for men and women, across disability diagnoses and all ages. Being a man and being older may be associated with lower levels of perceived support. Research is needed to determine if interventions that improve support will decrease depression and improve quality of life in persons with disabilities, particularly for men and individuals who are aging.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Owen, Randall</style></author><author><style face="normal" font="default" size="100%">Bowers, A</style></author><author><style face="normal" font="default" size="100%">Heller, Tamar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Unmet Needs and Health Services Appraisal: The Role of Disability Type and Service Delivery Approach.</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><pub-location><style face="normal" font="default" size="100%">Poster presented at the American Public Health Association’s Annual Conference, New Orleans, Louisiana</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; This study examines unmet needs for and appraisal of health services for people with disabilities in Medicaid receiving managed care (MC) versus fee-for-service (FFS) service delivery approaches by disability type.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt;&amp;nbsp; The study uses survey data from 817 individuals receiving Medicaid in a Midwestern state. The disability type splits people into groups corresponding to their Medicaid waiver: intellectual/developmental (IDD, 193 respondents), physical (PD, 279), and mental health (MH, 198) disabilities and a group who don&amp;rsquo;t fit those groups (Other, 143). The delivery approach identifies people as receiving MC or FFS. &amp;nbsp;The survey measures health care appraisal and total unmet needs. A two-way ANOVA for those two outcomes with disability type and delivery approach as independent variables was followed by regressions including age, gender, race, disability, and delivery approach as independent variables.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt; Both health appraisal and unmet needs are significantly related to disability group but not with delivery approach. For unmet needs, other (1.59) and PD (2.19) have significantly (p&amp;lt;.05) fewer unmet needs than MH (3.16) and IDD (3.37). However, for health appraisal, only the other group had significantly (p&amp;lt;.05) higher ratings than ID or MH. Results of regression analyses show that unmet needs is negatively related (p&amp;gt;.01) to health appraisal and unmet needs is higher for people with physical and mental health disabilities (p&amp;lt;.01) than for people without those conditions.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Conclusion&lt;/strong&gt;: Unmet needs are important for health plans (MC or FFS) to address. These results specify for which disability types unmet needs are highest so healthcare providers can address them.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Brown, Pat</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Aging with a disability and state vocational rehabilitation services.</style></title><secondary-title><style face="normal" font="default" size="100%">Work</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013 Nov 27</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">48</style></volume><pages><style face="normal" font="default" size="100%">441-51</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Disability prevalence in older adults is increasing. Given the low rates of employment among people with disabilities, especially those aging with multiple sclerosis (MS), spinal cord injury (SCI), late effects of polio (LEP), and muscular dystrophy (MD), services from federal-state vocational rehabilitation (VR) programs could positively impact employment status. OBJECTIVE: To describe VR services for individuals aging with MS, SCI, LEP and MD and the impact of aging on employment status.PARTICIPANTS: Thirteen Washington State VR counselors and 26 individuals, 45 to 65 years old, with MS, MD, LEP or SCI. METHODS: We examined national Rehabilitation Services Administration data (2006, 2007), including case closure, service outcomes and other demographics. We then purposively selected Washington State for our study. Interviews provided consumer and counselor perspectives on the components of successful case closure (employed) and the impact of aging and disability on employment. RESULTS: Washington State and national data were similar. Organizational and individual factors influence the effectiveness of VR services. CONCLUSION: People who could benefit from VR services are not being served; those who are served, are getting neither comprehensive services nor high quality outcomes. Additional research is needed to understand the variables associated with effective use of VR services.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Sullivan-Singh, Sarah J</style></author><author><style face="normal" font="default" size="100%">Borson, Soo</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The association of age, pain, and fatigue with physical functioning and depressive symptoms in persons with spinal cord injury.</style></title><secondary-title><style face="normal" font="default" size="100%">J Spinal Cord Med</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J Spinal Cord Med</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Affect</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Chronic Pain</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-Sectional Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Depression</style></keyword><keyword><style  face="normal" font="default" size="100%">Fatigue</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Status</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Motor Activity</style></keyword><keyword><style  face="normal" font="default" size="100%">Outcome Assessment (Health Care)</style></keyword><keyword><style  face="normal" font="default" size="100%">Predictive Value of Tests</style></keyword><keyword><style  face="normal" font="default" size="100%">Regression Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Residence Characteristics</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013 Sep</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">36</style></volume><pages><style face="normal" font="default" size="100%">483-91</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">CONTEXT/OBJECTIVE: To describe the relationship of pain and fatigue with physical and psychological functioning in adults with spinal cord injury (SCI).

DESIGN: Cross-sectional survey.

SETTING: Community-based survey.

PARTICIPANTS: Convenience sample of individuals with SCI.

INTERVENTION: Not applicable.

OUTCOME MEASURES: Physical functioning (Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Functioning item bank items), depression (Patient Health Questionnaire-9 (PHQ-9)), pain severity (0-10 Numerical Rating Scale (NRS)), and fatigue (0-10 NRS).

RESULTS: Pain and fatigue were independently associated with depression, but only pain was associated with physical functioning. Additionally, depression was more severe among middle-aged participants relative to younger or older participants. Physical functioning declined with increasing age, as well as with higher level of injury.

CONCLUSIONS: The findings support the need for continued development of effective treatments for both pain and fatigue in order to prevent and mitigate the negative effects these symptoms can have on functioning.</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/23941796?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Baylor, Carolyn</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn</style></author><author><style face="normal" font="default" size="100%">Eadie, Tanya</style></author><author><style face="normal" font="default" size="100%">Kim, Jiseon</style></author><author><style face="normal" font="default" size="100%">Chung, Hyewon</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Communicative Participation Item Bank (CPIB): item bank calibration and development of a disorder-generic short form.</style></title><secondary-title><style face="normal" font="default" size="100%">J Speech Lang Hear Res</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Amyotrophic Lateral Sclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Calibration</style></keyword><keyword><style  face="normal" font="default" size="100%">Communication</style></keyword><keyword><style  face="normal" font="default" size="100%">Disability Evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">Dysarthria</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Head and Neck Neoplasms</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple Sclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Parkinson Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Questionnaires</style></keyword><keyword><style  face="normal" font="default" size="100%">Reproducibility of Results</style></keyword><keyword><style  face="normal" font="default" size="100%">Self Report</style></keyword><keyword><style  face="normal" font="default" size="100%">Social Behavior</style></keyword><keyword><style  face="normal" font="default" size="100%">Voice Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013 Aug</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">56</style></volume><pages><style face="normal" font="default" size="100%">1190-208</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;PURPOSE: The purpose of this study was to calibrate the items for the Communicative Participation Item Bank (CPIB; Baylor, Yorkston, Eadie, Miller, &amp;amp; Amtmann, 2009; Yorkston et al., 2008) using item response theory (IRT). One overriding objective was to examine whether the IRT item parameters would be consistent across different diagnostic groups, thereby allowing creation of a disorder-generic instrument. The intended outcomes were the final item bank and a short form ready for clinical and research applications. METHOD: Self-report data were collected from 701 individuals representing 4 diagnoses: multiple sclerosis, Parkinson&amp;#39;s disease, amyotrophic lateral sclerosis, and head and neck cancer. Participants completed the CPIB and additional self-report questionnaires. CPIB data were analyzed using the IRT graded response model. RESULTS: The initial set of 94 candidate CPIB items were reduced to an item bank of 46 items demonstrating unidimensionality, local independence, good item fit, and good measurement precision. Differential item functioning analyses detected no meaningful differences across diagnostic groups. A 10-item, disorder-generic short form was generated. CONCLUSIONS: The CPIB provides speech-language pathologists with a unidimensional, self-report outcomes measurement instrument dedicated to the construct of communicative participation. This instrument may be useful to clinicians and researchers wanting to implement measures of communicative participation in their work.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jensen, M P</style></author><author><style face="normal" font="default" size="100%">Truitt, A R</style></author><author><style face="normal" font="default" size="100%">Schomer, K G</style></author><author><style face="normal" font="default" size="100%">Yorkston, K M</style></author><author><style face="normal" font="default" size="100%">Baylor, C</style></author><author><style face="normal" font="default" size="100%">Molton, I R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Frequency and age effects of secondary health conditions in individuals with spinal cord injury: a scoping review.</style></title><secondary-title><style face="normal" font="default" size="100%">Spinal Cord</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Spinal Cord</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013 Dec</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">51</style></volume><pages><style face="normal" font="default" size="100%">882-92</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;STUDY DESIGN: Scoping review. OBJECTIVES: To gain a better understanding of the prevalence, course and association with age of secondary health conditions in individuals with spinal cord injury (SCI). SETTING: Seattle, Washington, USA. METHODS: We performed searches of electronic databases for studies published from 1986-2011 that provided information regarding the prevalence, course or associations with age and duration of secondary health conditions in individuals with SCI. RESULTS: Ninety-two studies were included. The findings indicate that: (1) individuals with SCI experience a number of secondary health conditions, many of which occur at a higher rate in those with SCI than the normative population; (2) the most common conditions or symptoms are pain, bowel and bladder regulation problems, muscle spasms, fatigue, esophageal symptom and osteoporosis; (3) a number of conditions, including cardiovascular disease, diabetes, bone mineral density loss, fatigue and respiratory complications or infections, occur with higher frequency in older individuals or those with longer SCI duration, relative to younger individuals or those with shorter SCI duration; and (4) there is a marked lack of longitudinal research examining the natural course of health conditions in individuals aging with SCI. CONCLUSIONS: The findings support the conclusion that individuals with SCI show signs of &amp;#39;premature aging&amp;#39; in different organ systems. Longitudinal research is needed to understand when problems are most likely to emerge, and to develop and test the efficacy of interventions to prevent these health conditions and their negative impact.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/24126851?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Thomas E. McNalley</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Anjali R. Truitt</style></author><author><style face="normal" font="default" size="100%">Baylor, Carolyn</style></author><author><style face="normal" font="default" size="100%">Katherine G. Schomer</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Scoping Review of Secondary Health Conditions fo People Aging with Post-Polio Syndrome</style></title><secondary-title><style face="normal" font="default" size="100%">American Public Health Association's (APHA) Annual Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year></dates><publisher><style face="normal" font="default" size="100%">American Public Health Association's (APHA) Annual Meeting</style></publisher><pub-location><style face="normal" font="default" size="100%">Boston, MA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;u&gt;Introduction.&lt;/u&gt;&amp;nbsp; Post-polio syndrome (PPS), occurring in approximately half of people who previous contracted polio, is characterized by increased weakness, pain and fatigue. Although this orphaned condition was nearly eradicated world-wide in the 20&lt;sup&gt;th&lt;/sup&gt; century, almost nothing is known about the trajectory of associated health conditions as people age or how these conditions can be distinguished from typical aging. &amp;nbsp;An environmental scan of the literature was conducted to establish a platform of shared knowledge to better understand the needs of this population. Specifically, this review examined the types, frequency, timing of onset, and severity of associated health conditions in persons aging with or into PPS.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Methods.&lt;/u&gt; PubMed, CINAHL, and PsycINFO were searched for data-based articles about adults with PPS using a list of 76 chronic conditions. Articles were included that explored prevalence / incidence, severity, frequency, duration, or life course of associated conditions.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Results&lt;/u&gt;.&amp;nbsp; Data were extracted from 57 articles. As expected, fatigue, pain, and muscle weakness were the most prevalent conditions.&amp;nbsp; In addition, a number of other conditions were reported: respiration problems, depression, sleep disturbance, injurious falls, bone or joint problems, cardiovascular health, diabetes, bladder function, and skin problems.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Conclusion&lt;/u&gt;.&amp;nbsp; A number of potentially treatable health conditions are common in people aging with PPS.&amp;nbsp; The lack of longitudinal studies limits our ability to draw conclusions about age and duration effects. Such information is needed to guide home and community based services or care coordination delivered through the network of programs sponsored by the aging agencies.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author><author><style face="normal" font="default" size="100%">Salem, Rana</style></author><author><style face="normal" font="default" size="100%">Borson, Soo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Symptom Profiles in Individuals Aging with Post-Polio Syndrome.</style></title><secondary-title><style face="normal" font="default" size="100%">J Am Geriatr Soc</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013 Oct</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">61</style></volume><pages><style face="normal" font="default" size="100%">1813-1815</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">10</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Borson, Soo</style></author><author><style face="normal" font="default" size="100%">Salem, Rana</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Aging with disabilities: Comparing symptoms and quality of life indicators of individuals aging with disabilities to U.S. general population norms.</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of the American Geriatrics Society</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Special Issue: 2012 Annual Scientific Meeting Abstract Book</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><pub-location><style face="normal" font="default" size="100%">Seattle, WA</style></pub-location><volume><style face="normal" font="default" size="100%">60</style></volume><pages><style face="normal" font="default" size="100%">S185</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Background: Advances in medical care and rehabilitation have extended the lifespan of people with long-term physical disabilities. However, quantifying the excess burden of symptoms in persons aging with disabilities has been hindered by lack of common metrics across measures and clinical populations. The NIH-funded PROMIS initiative used modern psychometric methods to develop instruments that do use a common metric and provide US population norms for many important domains. The objective of the current study was to construct profiles of symptoms and QoL indicators in persons aging with a long-term disability and to compare them to US population norms. Methods: PROMIS short forms measuring 7 symptoms or QoL indicators (fatigue, pain interference with activities, physical and social function, depression, and sleep and wake disturbance) were completed by individuals with muscular dystrophy (264), multiple sclerosis (481), post-polio syndrome (445), and spinal cord injury (323) (total N=1513) participating in an ongoing longitudinal survey. Individuals aged 45-94 were included in this analysis. Scores for the overall sample, by diagnostic group and by age categories, were compared to the PROMIS US population norms. Results: Compared to the US general population, individuals aging with disabilities reported a higher symptom burden and poorer QoL on 6 of 7 measures (all p&amp;lt;0.0001). Only wake disturbance did not differ from the general population. Statistically significant differences ranged from a low of 2.4 points (sleep disturbance) to a high of 14.4 points (physical function) (T-score metric with a mean of 50 and sd of 10). Comparison to age group norms suggested that older (65+) individuals with disabilities experienced worse fatigue, more pain interference, higher depressive symptoms and lower social function than younger disabled groups.Differences between the disabled and general population groups in symptom burden and QoL widened with age; the oldest group, aged 75+, fared worst. Conclusions: Results clearly document that discrepancies in symptoms and QoL between the general population and people with disabilities increase with aging. Individuals with long-term disabilities constitute a subgroup of the aging population that may require specialized specialized models of health care to manage symptoms adequately, and optimize function and QoL.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">S4</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Gibbons, Laura E</style></author><author><style face="normal" font="default" size="100%">Rosenberg, Dori E</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Body mass index and waist circumference in persons aging with muscular dystrophy, multiple sclerosis, post-polio syndrome, and spinal cord injury.</style></title><secondary-title><style face="normal" font="default" size="100%">Disability and Health Journal</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Disabil Health J</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Jul</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">177-84</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Body mass index (BMI) and waist circumference (WC) are well-understood in the general population, but are not adequately understood among persons with disabilities. OBJECTIVE: To describe and compare BMI and WC among individuals with muscular dystrophy (MD), multiple sclerosis (MS), post-polio syndrome (PPS), and spinal cord injury (SCI). BMI scores were also compared to normative data of the U.S. population, with consideration for age, sex, and mobility limitations. METHODS: Persons with MD (n = 339), MS (n = 597), PPS (n = 443), and SCI (n = 488) completed postal surveys that included self-reported BMI and WC data. NHANES data were used to compare the current sample with a representative US sample. RESULTS: Participants with PPS had higher BMI than participants with MD, MS, and SCI. In addition, participants with MS had significantly higher BMI relative to participants with SCI. BMI was significantly positively associated with age, years since diagnosis, mobility, and interactions of some of these factors. Relative to the general population, BMI was lower in MD, MS, and SCI across age groups, as well as in men with PPS and women ages 60-74 years with PPS. No significant differences were identified between MD, MS, PPS, and SCI in WC. CONCLUSIONS: The presence of group differences in BMI and absence of group differences in WC suggests that BMI may not accurately represent health risk in SCI, MD, and possibly MS, because of biasing elements of the conditions, such as changes in body composition and mobility limitations.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22726858?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cook, Karon F</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Callahan, Leigh</style></author><author><style face="normal" font="default" size="100%">Kim, Jiseon</style></author><author><style face="normal" font="default" size="100%">Keefe, Francis J</style></author><author><style face="normal" font="default" size="100%">Revicki, Dennis</style></author><author><style face="normal" font="default" size="100%">Roddey, Toni S</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of pain behaviors in multiple sclerosis, back pain, and arthritis.</style></title><secondary-title><style face="normal" font="default" size="100%">Quality of life research</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality of Life</style></keyword><keyword><style  face="normal" font="default" size="100%">Research</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22298117</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">6</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Aims: To compare pain behaviors in three samples: multiple sclerosis (MS), back pain, and arthritis using pain behavior frequency counts (video-taped), and self- and signiﬁcant other (SO)-responses to candidate items for a new pain behavior measure. Methods: A sample of patient/SO pairs (N=620 pairs) completed measures of pain, function, disability, and other pain correlates. In addition, a sample of 30 individuals with back pain, 26 with arthritis, and 30 with MS were videotaped for 10 minutes while sitting, standing, walking, and lying down. Videotapes were coded to obtain pain behavior frequency counts by category (guarding, sighing, bracing, rubbing, and grimacing) and total behavior counts. Results: Mean item responses (1 to 5 response scale) in MS, arthritis, and back pain were, respectively, 2.7 (SD=0.56), 2.7 (SD=0.71), and 3.0 (SD=0.69) Spearman correlation coefﬁcients between patient and SO pain responses were 0.55 (MS), 0.60 (arthritis), and 0.67 (back pain). Mean item score differences between self and SO item scores (1-5 response scale) were highest for persons with arthritis (0.08 higher) and lowest for persons with MS (0.02 higher). Self-reported pain behaviors and pain behavior frequency counts (videotapes) were moderately correlated and varied by item. Items with highest correlations were items about using a cane or other support (0.62), asking for help when walking (0.53), and the item, &amp;ldquo;You could hear it in my voice&amp;rdquo; (0.50). Classes of behaviors most correlated with self-report pain behaviors varied by diagnosis. In the back pain sample, guarding behavior counts had the strongest correlation with self-report (0.50). In the arthritis sample, the highest correlations were between self-reported pain behaviors and guarding (0.47) and total behavior counts (0.53). In the sample with MS, the highest values were for counts of rubbing (0.49) and total behavior counts (0.64). Conclusions: Pain behaviors vary somewhat by diagnosis but there also are substantial similarities. Signiﬁcant others reported higher levels of pain behaviors than were self-reported, but mean differences were less than 1 response category on a 1-5 response scale. The correlations among self-report, SO-report, and frequency counts based on videotaped observations support the validity of candidate items for a new pain behavior measure.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">Suppl 1</style></issue><accession-num><style face="normal" font="default" size="100%">22298117</style></accession-num></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Noonan, Vanessa</style></author><author><style face="normal" font="default" size="100%">Lang, Nina</style></author><author><style face="normal" font="default" size="100%">Kim, Jiseon</style></author><author><style face="normal" font="default" size="100%">Cook, Karon F</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of the psychometric properties of two fatigue scales in multiple sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">Rehabilitation Psychology</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Rehabil Psychol</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">57</style></volume><pages><style face="normal" font="default" size="100%">159-66</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Objective: To compare psychometric functioning of the Fatigue Severity Scale (FSS; Krupp, LaRocca, Muir-Nash, &amp;amp; Steinberg, 1989) and the Modified Fatigue Impact Scale (MFIS; MSCCPG, 1998) in a community sample of persons with multiple sclerosis (MS). Method: A self-report survey including the FSS, MFIS, demographic, and other health measures was completed by 1271 individuals with MS. Analyses evaluated the reliability and validity of the scales, assessed their dimensional structures, and estimated levels of floor and ceiling effects. Item response theory (IRT) was used to evaluate the precision of the MFIS and FSS at different levels of fatigue. Results: Participants had a mean score on the FSS of 5.1 and of 44.2 on the MFIS. Cronbach&amp;#39;s alpha values for FSS and MFIS were all 0.93 or greater. Known-groups and discriminant validity of MFIS and FSS scores were supported by the analyses. The MFIS had low floor and ceiling effects, and the FSS had low floor and moderate ceiling effects. Unidimensionality was supported for both scales. IRT analyses indicate that the FSS is less precise in measuring both low and high levels of fatigue, compared with the MFIS. Conclusions: Researchers and clinicians interested in measuring physical aspects of fatigue in samples whose fatigue ranges from mild to moderate can choose either instrument. For those interested in measuring both physical and cognitive aspects of fatigue, and whose sample is expected to have higher levels of fatigue, the MFIS is a better choice even though it is longer. IRT analyses suggest that both scales could be shortened without a significant loss of precision. (PsycINFO Database Record (c) 2012 APA, all rights reserved).&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22686554?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Rosenberg, Dori E</style></author><author><style face="normal" font="default" size="100%">Motl, Robert W</style></author><author><style face="normal" font="default" size="100%">Artherholt, Samantha</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Depression and physical activity among adults with multiple sclerosis, muscular dystrophy, spinal cord injury, and post-polio syndrome</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.posters2view.com/ectrims2012/view.php?nu=969</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)</style></publisher><pub-location><style face="normal" font="default" size="100%">Lyon, France</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Gibbons, Laura E</style></author><author><style face="normal" font="default" size="100%">Kraft, George H</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The effects of telephone-based physical activity counselling on fatigue, pain, symptoms and quality of life in people with multiple sclerosis and major depression</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.posters2view.com/ectrims2012/view.php?nu=486</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)</style></publisher><pub-location><style face="normal" font="default" size="100%">Lyon, France</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Goetz, Mark C</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Happiness Matters in Aging with a Disability</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><publisher><style face="normal" font="default" size="100%">American Congress of Rehabilitation Medicine (ACRM) Annual Conference</style></publisher><pub-location><style face="normal" font="default" size="100%">Vancouver, BC</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;u&gt;Objectives&lt;/u&gt;:&amp;nbsp; Psychosocial well-being, including happiness, is rarely studied in people with disabilities, despite the potential for such research to expand our understanding of the full range of functioning in the context of aging with a disability. This study aims to answer the following questions: (1) Where do people with disabilities fall on a happiness scale overall and across age groups (by disability group)? (2) &amp;nbsp;How do they compare to community samples without disability? (3) What are the correlates of happiness in people aging with physical disability?&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Design&lt;/u&gt;:&amp;nbsp; Cross-sectional postal survey&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Setting&lt;/u&gt;:&amp;nbsp; Community&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Participants:&lt;/u&gt; 1862 adults (63.3% female) with muscular dystrophy, multiple sclerosis, post-polio syndrome, or spinal cord injury.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Interventions&lt;/u&gt;: none&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Main Outcome Measure&lt;/u&gt;:&amp;nbsp; The Subjective Happiness Scale (Lyubomirksy &amp;amp; Lepper, 1999) was used to assess happiness. The total score ranges from 1(lowest) to 7 (highest).&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Results&lt;/u&gt;:&amp;nbsp; Analyses examined levels of happiness for the total sample and for each disability condition individually across four age cohorts: 18-44, 45-64, 65-74, and 75+ years. The sample&amp;rsquo;s mean happiness level varied between 5.04 (SD: 1.26) for those age 45-64 and 5.6 (SD: 1.16) for those age 65-74. Levels of happiness across different age cohorts and disability conditions were comparable to levels of happiness reported in other samples of adults without physical disabilities. Happiness differed significantly by disability condition and by age; older cohorts were happier than younger cohorts. Pain, vision loss, and falls were negatively correlated with happiness.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Conclusions&lt;/u&gt;: &amp;nbsp;Studying the full spectrum of psychosocial functioning, including happiness, may broaden our understanding of successful aging with physical disability.&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;/sites/agerrtc/files/files/happiness_poster%20DRAFT3.pdf&quot; target=&quot;_blank&quot;&gt;View Poster&lt;/a&gt;&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kraft, George H</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Weir, Virginia G</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Hidden symptoms of multiple sclerosis increase with patient age</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.posters2view.com/ectrims2012/view.php?nu=187</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)</style></publisher><pub-location><style face="normal" font="default" size="100%">Lyon, France</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Background: Although many of the more obvious symptoms of multiple sclerosis (MS), such as weakness, ataxia, and bladder problems, are incorporated into the Kurtzke Expanded Disability Status Scale (EDSS), less information is available on the prevalence of &amp;quot;hidden&amp;quot; manifestations of this disease, such as fatigue, depression, pain, and anxiety. The recent completion of the NIH-funded PROMIS and Neuro-QoL initiatives allow comparison of less apparent symptoms with age-matched norms from a large, industrialized population.&amp;nbsp; The aim of the current study was to compare less apparent symptoms of MS as well as quality of life (QoL) indicators with population norms and to stratify changes in symptom burden with increasing age.&lt;/p&gt;
&lt;p&gt;Methods: PROMIS short forms, based on US population norms, on 11 hidden symptoms (fatigue, depression, pain interference, anxiety, sleep disturbance, and wake disturbance) and quality of life indicators (cognitive concerns, executive functioning, physical function, global mental function, and social role) were completed by 1,543 individuals with MS in three cross-sectional surveys.&amp;nbsp; Scores for the overall sample were compared on Neuro-QoL cognitive function.&amp;nbsp; Results in 9 domains from age groups 18-34 (n=104), 35-44 (n=195), 45-54 (n=440), 55-64 (n=544), 65-74 (n=223) and older than 75 (n=37) were compared with PROMIS population norms.&lt;/p&gt;
&lt;p&gt;Results: When comparing the whole sample to the US population, adults with MS reported significantly higher symptom burden on all 11 domains, (p&amp;lt;0.0001).&amp;nbsp; Depression showed the least difference and physical function the greatest difference. Comparisons to age group norms showed increasing symptom burden in older cohorts.&amp;nbsp; The 18-34 group reported significantly higher levels of fatigue, pain interference, sleep disturbance, and physical function than the corresponding age norm, (p&amp;lt;0.005).&amp;nbsp; Age groups 35-44 and 45-54 reported significantly higher burden on all domains except global mental function while age groups 55-64 and 65-74 reported higher burden on all 9 domains compared with PROMIS population norms (except age group 65-74 reported significantly less sleep disturbance), (p&amp;lt;0.005).&lt;/p&gt;
&lt;p&gt;Conclusion:&amp;nbsp; Our findings indicate that most of these less-apparent symptoms increase with age. In particular, physical and mental function and satisfaction with social role decrease while fatigue increases most with age.&amp;nbsp; Older adults living with MS may require targeted health care strategies to optimize quality of life.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Artherholt, Samantha</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Acosta Garcia, M J</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">inMotion: A phone-based randomized controlled trial to increase physical activity and improve mood</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of MS Care</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ijmsc.org/doi/pdf/10.7224/1537-2073-14.S2.1</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">14</style></volume><pages><style face="normal" font="default" size="100%">25</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;Background: Major depressive disorder (&lt;/span&gt;MDD&lt;span style=&quot;line-height: 1.5;&quot;&gt;) is a common secondary condition in individuals with multiple sclerosis&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;(MS), with a lifetime prevalence estimated to be near 50%.&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;MDD is highly disabling in this population, contributing to&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;time lost from work, low quality of life, and poor health.&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;Commonly used treatments for &lt;/span&gt;MDD&lt;span style=&quot;line-height: 1.5;&quot;&gt; are not effective for&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;many with MS, and there are often major barriers to treatment. Numerous studies have shown that inactivity is a risk&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;factor for &lt;/span&gt;MDD&lt;span style=&quot;line-height: 1.5;&quot;&gt;, while increased activity is associated with&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;reduced risk of &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;MDD&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;. We have previously shown that physical activity has promise as a treatment for &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;MDD&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;, especially&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;for people with disabilities such as MS who may be inactive.&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;The current study extends this model to people aging with&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;MS and/or with limited mobility, including wheelchair users.&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;Objectives: The &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;inMotion&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt; Study is an ongoing randomized&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;controlled trial (&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;RCT&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;) for people aged &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;&amp;ge;45&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt; with depressive&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;symptoms (10 or higher on the &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;PHQ-9&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;). The objectives are&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;to increase physical activity and improve mood. Methods:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;Participation is entirely by phone. Participants in the treatment condition receive seven motivational interviewing (MI)&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;sessions over 12 weeks in which they review exercise history,&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;goals, benefits, and barriers with a study counselor. Half of&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;the intervention group receives two booster calls during the&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;maintenance phase of the study (weeks 13&amp;ndash;24). Participants&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;in the control condition receive a single &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;psychoeducational&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;session at week 0. All participants are mailed an MS exercise DVD. Physical activity is recorded via &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;actigraphy&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt; at&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;baseline, 12 weeks, and 24 weeks. An independent examiner assesses outcomes in both groups at 12 and 24 weeks. &lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;Results: To date, 219 potential participants with MS have&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;been screened, with 52 enrolled (24%), 6 refused (3%), and&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;161 ineligible (74%). Ineligibility has been due primarily to&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;lack of depressive symptoms (N = 98, 61%). Conclusions:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;A phone-based intervention to increase physical activity and&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;improve depression in people with MS is feasible, although&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;recruitment challenges have been significant. Results of&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;this RCT will determine the efficacy of this phone-based MI&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;approach to improving mood in people with MS, and will&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;line-height: 1.5;&quot;&gt;explore potential mediators such as fatigue, pain, and general health.&lt;/span&gt;&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">S2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kroll, Thilo</style></author><author><style face="normal" font="default" size="100%">Kratz, Anna</style></author><author><style face="normal" font="default" size="100%">Kehn, Matthew</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Groah, Suzanne L</style></author><author><style face="normal" font="default" size="100%">Ljungberg, Inger H</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Perceived exercise self-efficacy as a predictor of exercise behavior in individuals aging with spinal cord injury.</style></title><secondary-title><style face="normal" font="default" size="100%">American Journal of Physical Medicine &amp; Rehabilitation</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Am J Phys Med Rehabil</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Aging</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-Sectional Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Exercise</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Behavior</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Linear Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Longitudinal Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Physical Exertion</style></keyword><keyword><style  face="normal" font="default" size="100%">Questionnaires</style></keyword><keyword><style  face="normal" font="default" size="100%">Resistance Training</style></keyword><keyword><style  face="normal" font="default" size="100%">Self Efficacy</style></keyword><keyword><style  face="normal" font="default" size="100%">Sex Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Wheelchairs</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Aug</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">91</style></volume><pages><style face="normal" font="default" size="100%">640-51</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: The purpose of this study was to test the hypothesized association between exercise self-efficacy and exercise behavior, controlling for demographic variables and clinical characteristics, in a sample of individuals with spinal cord injuries. DESIGN: A cross-sectional national survey of 612 community-dwelling adults with spinal cord injury in the United States ranging from 18 to 89 yrs of age was conducted. Sample consisted of 63.1% men with a mean (SD) duration of 15.8 (12.79) yrs postinjury; 86.3% reported using a wheelchair. RESULTS: Self-efficacy was the only independent variable that consistently predicted all four exercise outcomes. Self-efficacy beliefs were significantly related to frequency and intensity of resistance training (R(2) change = 0.08 and 0.03, respectively; P &amp;lt; 0.01 for all) and aerobic training (R(2) change = 0.07 and 0.05, respectively; P &amp;lt; 0.01 for all), thus explaining between 3% and 8% of the variance. Hierarchical linear regression analysis revealed that controlling for other demographic and physical capability variables, the age-related variables made statistically significant contributions and explained between 1% and 3% of the variance in aerobic exercise frequency and intensity (R(2) change = 0.01 and 0.03, respectively; P &amp;lt; 0.01 for all). Clinical functional characteristics but not demographic variables explained participation in resistance exercise. CONCLUSIONS: Self-efficacy beliefs play an important role as predictors of exercise. Variations in exercise intensity along the age continuum have implications for exercise prescription and composition. Future research should replicate findings with objective activity measures.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22660368?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Gertz, Kevin J</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Rosenberg, Dori E</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Physical activity and depression in middle and older-aged adults with multiple sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">Disability and Health Journal</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Disabil Health J</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Oct</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">269-76</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Depression is common among people with multiple sclerosis (MS), and research shows that individuals, including individuals with MS, who are more physically active report lower rates of depression. However, little is known about the relative importance of level of physical activity (e.g., moderate versus vigorous) in relationship to depression, or the role that age might play in this relationship among people with MS. The current study sought to (1) clarify the associations between moderate and vigorous physical activity and depression in a sample of individuals with MS, (2) determine the associations between age and physical activity, and (3) test for the potential moderating influence of age on the associations between physical activity and depression. OBJECTIVE/HYPOTHESIS: Cross-sectional survey. METHODS: 112 individuals with MS completed a survey assessing demographic variables, amount of moderate and vigorous physical activity, and depression. RESULTS: There was a gradual decrease in the amount of moderate and vigorous physical activity as age increased, but this decrease was not statistically significant. Moderate physical activity was significantly (negatively) associated with depression across all age cohorts. Time spent in vigorous physical activity was significantly (negatively) associated with depression among the middle-aged but not younger or older participants who are physically active. CONCLUSIONS: The findings support a link between moderate physical activity and depression and, for middle-aged individuals, vigorous physical activity and depression in persons with MS. The findings indicate that research examining the impact of activity enhancing treatments on depression in individuals with MS is warranted.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/23021738?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Burns, Michael I</style></author><author><style face="normal" font="default" size="100%">Baylor, Carolyn R</style></author><author><style face="normal" font="default" size="100%">Morris, Megan</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Preparing Patients with Communication Disorders for Medical Interactions</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><publisher><style face="normal" font="default" size="100%">Annual Convention of the American Speech-Language-Hearing Association (ASHA)</style></publisher><pub-location><style face="normal" font="default" size="100%">Atlanta, GA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Patients with communication disorders are a vulnerable healthcare population. SLPs are uniquely qualified to help these patients improve communication with healthcare providers. This presentation will focus on describing how these patients are susceptible to diminished healthcare access, and ways SLPs can help prepare them for improved future medical interactions. &amp;nbsp; &amp;nbsp;&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Cook, Karon F</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reliability and validity of pain, fatigue, depression, and social roles participation PRO measures in populations of individuals aging with a physical disability.</style></title><secondary-title><style face="normal" font="default" size="100%">Quality of life research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/content/5h88546t283p1347/fulltext.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">66</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Aims: To evaluate the reliability and validity of patient reported outcome measures across the domains of pain, depression, fatigue, and social roles participation in four different rehabilitation study populations. Methods: Individuals with muscular dystrophy (MD) (N=340), multiple sclerosis (MS) (N=584), spinal cord injury (SCI) (N=492), and post-polio syndrome (PPS) (N=446) participated in a self-report survey related to aging with a disability. Measures examined included the PHQ-9 depression scale and PROMIS short forms for fatigue, pain interference, depression, and social roles participation. Analyses for each scale and within each population included examinations of ﬂoor and ceiling effects, percentage of variance accounted for by the ﬁrst factor and ratio of ﬁrst and second eigenvalues using exploratory factor analyses (EFA), and calculations of Chronbach&amp;rsquo;s alpha. Results: EFA analyses supported the unidimensionality of scores from all scales in all four populations. Across scales and populations the lowest eigenvalue ratio was 8.2 (PHQ-9) and the highest was 52 (PROMIS pain). The variance accounted for by the ﬁrst factor ranged from 49% (PHQ-9) to 86% (PROMIS pain). The PROMIS pain and depression scales demonstrated ﬂoor effects, especially in individuals with MS and MD. On the pain scale, 20.5% and 23.8% of MD and MS individuals respectively were at the ﬂoor while 10.9% and 15.7% were at the ﬂoor on the depression scale. The PHQ-9 also demonstrated moderate ﬂoor effects with up to 9.5% of individuals at the bottom of the scale. With the exception of the social roles scale none of the scales had more than 2% of individuals at the ceiling of the scale. Ceiling effects on the social roles scale ranged from 1.2% (PPS) to 7.2% (MD). Chronbach&amp;rsquo;s alpha values ranged from 0.80 (fatigue in PPS) to 0.96 (pain in MS). Conclusions: EFA results support the unidimensionality of the response data, and thus the construct validity of the studied measures. Although there were some ﬂoor effects, these appear to be due to lack of symptoms in portions of the sample (e.g., persons reporting no pain), rather than inadequacy of the scale. The results of the study support the use of the measures in MS, MD, PPS, and SCI.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">Suppl 1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rosenberg, Dori E</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Artherholt, Samantha</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Motl, Robert W</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Self-reported Depression and Physical Activity in Adults with Mobility Impairments.</style></title><secondary-title><style face="normal" font="default" size="100%">Archives of Physical Medicine and Rehabilitation</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Nov 16</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: To test hypothesized associations between depression and physical activity among adults with multiple sclerosis (MS), spinal cord injury (SCI), muscular dystrophy (MD), and post-polio syndrome (PPS). DESIGN: Cross-sectional survey. SETTING: Survey responses collected from individuals in the Washington state area (participants with SCI) and across the United States (participants with MS, MD, and PPS). PARTICIPANTS: A convenience sample of 1,676 participants were surveyed (MD=321, PPS=338, MS=556, SCI=411). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The Patient Health Questionnaire (PHQ-9) assessing depressive symptoms and the International Physical Activity Questionnaire (IPAQ) and Godin Leisure Time Exercise Questionnaire (GLTEQ) assessing physical activity. RESULTS: The average age was 56 years, 64% were women, 92% were White, 86% had a high school degree or higher, and 56% walked with an assistive device or had limited self-mobility. The IPAQ and GLTEQ explained a small but statistically significant and unique amount of the variance in PHQ-9 scores in all diagnostic groups, with no significant differences in the relationship by condition, age, or mobility status (R(2) IPAQ = .004; R(2) GLTEQ = .02; both p-values &amp;lt;.02). CONCLUSIONS: Both physical activity measures demonstrated a small but statistically significant association with depression in all four diagnostic groups. Research is needed to determine longitudinal relationships and whether physical activity interventions could promote improved mood in adults with physical disabilities.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cook, Karon F</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Six patient-reported outcome measurement information system short form measures have negligible age- or diagnosis-related differential item functioning in individuals with disabilities.</style></title><secondary-title><style face="normal" font="default" size="100%">Archives of Physical Medicine and Rehabilitation</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Jul</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">93</style></volume><pages><style face="normal" font="default" size="100%">1289-91</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;UNLABELLED: Cook KF, Bamer AM, Amtmann D, Molton IR, Jensen MP. Six Patient-Reported Outcome Measurement Information System short form measures have negligible age- or diagnosis-related differential item functioning in individuals with disabilities. OBJECTIVE: To evaluate the measurement invariance of 6 self-report measures selected for an ongoing longitudinal study of individuals with spinal cord injury, muscular dystrophy, postpolio syndrome, and multiple sclerosis. DESIGN: Participants completed and returned by mail surveys that included the targeted self-report measures. Ordinal logistic regressions methods were applied to evaluate items for differential item functioning (DIF) by diagnosis and age range. SETTING: Community. PARTICIPANTS: Participants (N=2479) who had 1 of the 4 target diagnoses. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Six short-form measures from the Patient-Reported Outcome Measurement Information System (PROMIS) were administered to participants to measure fatigue, pain interference, satisfaction with social roles, sleep disturbance, sleep-related impairment, and depression. RESULTS: One item of 1 measure (fatigue) exhibited DIF by diagnosis based on a published standard for meaningful DIF. However, scores corrected for this DIF were highly correlated with uncorrected scores (r&amp;gt;.999). No DIF by age range was found for any of the measures. CONCLUSIONS: Study findings support the use of the selected PROMIS short forms for comparing symptoms and quality of life indicators across different diagnoses and age ranges.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">7</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22386213?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Matsuda, Patricia Noritake</style></author><author><style face="normal" font="default" size="100%">Shumway-Cook, Anne</style></author><author><style face="normal" font="default" size="100%">Ciol, Marcia A</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Kartin, Deborah A</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Understanding falls in multiple sclerosis: association of mobility status, concerns about falling, and accumulated impairments.</style></title><secondary-title><style face="normal" font="default" size="100%">Physical therapy</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Phys Ther</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Accidental Falls</style></keyword><keyword><style  face="normal" font="default" size="100%">Accidents, Home</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Chi-Square Distribution</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-Sectional Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Fear</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Mobility Limitation</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple Sclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Questionnaires</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Self-Help Devices</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Mar</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">92</style></volume><pages><style face="normal" font="default" size="100%">407-15</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Falls in people with multiple sclerosis (MS) are a serious health concern, and the percentage of people who restrict their activity because of concerns about falling (CAF) is not known. Mobility function and accumulated impairments are associated with fall risk in older adults but not in people with stroke and have not been studied in people with MS. OBJECTIVE: The purposes of this study were: (1) to estimate the percentage of people who have MS and report falling, CAF, and activity restrictions related to CAF; (2) to examine associations of these factors with fall status; and (3) to explore associations of fall status with mobility function and number of accumulated impairments. DESIGN: A cross-sectional survey was conducted. METHODS: A total of 575 community-dwelling people with MS provided information about sociodemographics, falls, CAF, activity restrictions related to CAF, mobility function, and accumulated impairments. Chi-square statistics were used to explore associations among these factors. RESULTS: In all participants, about 62% reported CAF and about 67% reported activity restrictions related to CAF. In participants who did not experience falls, 25.9% reported CAF and 27.7% reported activity restrictions related to CAF. Mobility function was associated with fall status; participants reporting moderate mobility restrictions reported the highest percentage of falls, and participants who were nonwalkers (ie, had severely limited self-mobility) reported the lowest percentage. Falls were associated with accumulated impairments; the participants who reported the highest percentage of 2 or more falls were those with 10 impairments. LIMITATIONS: This cross-sectional study relied on self-reported falls, mobility, and impairment status, which were not objectively verified. CONCLUSIONS: Both CAF and activity restrictions related to CAF were common in people with MS and were reported by people who experienced falls and those who did not. The association of fall status with mobility function did not appear to be linear. Fall risk increased with declining mobility function; however, at a certain threshold, further declines in mobility function were associated with fewer falls, possibly because of reduced fall risk exposure.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22135709?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Goetz, Mark C</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Kraft, George H</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Age effects of sleep problems in individuals with multiple sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of MS Care</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Sleep and MS</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ijmsc.org/doi/pdf/10.7224/1537-2073-13.S3.1</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">13</style></volume><pages><style face="normal" font="default" size="100%">17-18</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Background: Sleep disturbances in individuals with multiple sclerosis (MS) are relatively common (ie, with many studies showing prevalence of approximately 50%), and evidence indicates that sleep problems are more common in MS samples than in samples of individuals who do not have MS. There is also evidence among the general population suggesting that sleep problems increase with age. However, previous research suggests that among some disability groups (eg, spinal cord injury) there may be a decline in sleep problems with age. Objectives: Based on previous research, we hypothesized that 1) sleep dysfunction in an MS sample would be greater when compared with a normative sample and 2) an examination of aging variables (chronological age, disability duration, and age at disability onset) would show a negative relationship between chronological age and the severity of sleep disturbance. Methods: A survey was administered to 584 individuals with MS that included measures of demographic characteristics and the PROMIS Sleep Disturbance Item Bank. The analytic strategy was based on a Jensen et al. (2009) paper in which a series of multiple regression analyses examined the independent contribution of three age-related variables to sleep problems: chronological age, disability duration, and age at disability onset. Results: Hypothesis 1 was not supported in that comparisons of the MS and normative data on the PROMIS revealed no differences in sleep disruption. Hypothesis 2 was supported in that the findings suggested that younger and middle-aged participants reported more sleep disturbance than did older participants. When controlling for chronological age, disability duration and age at disability onset were not significantly associated with sleep difficulties. Conclusion: One possible explanation for the age effect found is a cohort effect where the older adult groups could potentially include participants who are healthier than the younger participants (ie, health factors associated with sleep disturbance might be related to mortality). It is also possible that age influences or is associated with some third variable that influences sleep quality (eg, employed vs. retired). Longitudinal research following the same group of patients over time is needed to help test these possible explanations.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">S3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cook, Karon F</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Choi, Seung W</style></author><author><style face="normal" font="default" size="100%">Kroenke, Kurt</style></author><author><style face="normal" font="default" size="100%">Fann, Jesse R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Do somatic and cognitive symptoms of traumatic brain injury confound depression screening?</style></title><secondary-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Arch Phys Med Rehabil</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Brain Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Cognition Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Depression</style></keyword><keyword><style  face="normal" font="default" size="100%">Depressive Disorder, Major</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Primary Health Care</style></keyword><keyword><style  face="normal" font="default" size="100%">Retrospective Studies</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">92</style></volume><pages><style face="normal" font="default" size="100%">818-23</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: To evaluate whether items of the Patient Health Questionnaire 9 (PHQ-9) function differently in persons with traumatic brain injury (TBI) than in persons from a primary care sample. DESIGN: This study was a retrospective analysis of responses to the PHQ-9 collected in 2 previous studies. Responses to the PHQ-9 were modeled using item response theory, and the presence of DIF was evaluated using ordinal logistic regression. SETTING: Eight primary care sites and a single trauma center in Washington state. PARTICIPANTS: Participants (N=3365) were persons from 8 primary care sites (n=3000) and a consecutive sample of persons with complicated mild to severe TBI from a trauma center who were 1 year postinjury (n=365). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: PHQ-9. RESULTS: No PHQ-9 item demonstrated statistically significant or meaningful DIF attributable to TBI. A sensitivity analysis failed to show that the cumulative effects of nonsignificant DIF resulted in a systematic inflation of PHQ-9 total scores. Therefore, the results also do not support the hypothesis that cumulative DIF for PHQ-9 items spuriously inflates the numbers of persons with TBI screened as potentially having major depressive disorder. CONCLUSIONS: The PHQ-9 is a valid screener of major depressive disorder in people with complicated mild to severe TBI, and all symptoms can be counted toward the diagnosis of major depressive disorder without special concern about overdiagnosis or unnecessary treatment.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21530731?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Gertz, Kevin J</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Rosenberg, Dori E</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Physical activity and depression in middle and older-aged adults with multiple sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">Multiple Sclerosis</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://msj.sagepub.com/content/17/10_suppl/S53.full.pdf+html</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">254</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Introduction: Physical activity and depression are known to be associated, and reactivation programs have demonstrated efficacy as a treatment for depression. However, little research has examined the associations between physical activity and depression in individuals with multiple sclerosis (MS). Moreover, the extent to which physical activity changes as a function of age, and whether or not the associations between activity and depression vary as a function of age in multiple sclerosis is not known. Knowledge regarding these associations is important for determining whether, and for whom, reactivation programs might be effective for individuals aging with MS. Methods: Individuals with MS (N=112; mean age: 52.59 years; 81.3% women) completed a survey assessing demographic variables (age, sex), self-reported moderate and vigorous physical activity, and depression (Patient Health Questionnaire-9). Analyses tested for the effect of age on physical activity, and effects of age and physical activity on depression. Results: The percentages of participants reporting that they engaged in moderate and vigorous physical activity decreased across the age cohorts (e.g., percentages were 86%, 73%, and 57% for moderate activity; 50%, 37%, and 14% for vigorous activity for the young, middle aged, and older age cohorts, respectively). Minutes of moderate activity in the past week were highest among the middle age cohort (238 minutes), less in the young adult cohort (160 minutes), and least in the older cohort (95 minutes). However, minutes of vigorous physical activity decreased as a function of cohort (156, 77, and 33 minutes). Regression analyses indicated that minutes of moderate activity, but not minutes of vigorous activity, was significantly associated with lower depression scores, and that this effect did not differ as a function of age. Conclusions: The findings indicate that moderate and vigorous activity levels are lower for individuals with MS who are 65 years and older than in individuals who are younger than 65 years. Moderate activity was associated with lower levels of depression across all age cohorts. If these findings confirmed in future studies, they suggest that physical activity programs might effectively treat (or prevent) depression in persons with MS if they: (1) focus more on increasing moderate activities (as opposed to vigorous ones) and (2) be developed to address the needs of individuals with MS across the age spectrum.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">10 Suppl</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</style></author><author><style face="normal" font="default" size="100%">McMullen, Kara A</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Predicting unemployment in people ageing with multiple sclerosis.</style></title><secondary-title><style face="normal" font="default" size="100%">Multiple Sclerosis</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://msj.sagepub.com/content/17/10_suppl/S277.full.pdf+html</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">S486</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Background: Older adults who have a disability report higher rates of unemployment than older adults without a disability and one of the significant risks associated with disability is poverty. Approximately 90% of individuals diagnosed with MS are employed before their diagnosis, but as few as 30% remain working in as little as 5 years after diagnosis. About 40% of unemployed people with MS want to return to work. Little is known about changes in employment status for people with MS as they age. Objectives: Examine the predictors of unemployment stratified by age groups in people with MS. Methods: Data were analyzed from a cross-sectional survey of community-dwelling people with MS (n = 1,271) collected in 2006. Participants were recruited from the Greater Washington Chapter of the USA National MS Society (NMSS) and were eligible if they self-reported a diagnosis of MS and were at least 18 years of age. Measures of secondary conditions, employment status, history of MS, and demographic characteristics were included in the survey.A stratified, prediction logistical regression was run across 4 age groups (18 &amp;ndash; 34 yrs, 35 &amp;ndash; 44yrs, 45 &amp;ndash; 54 yrs, 55-64 yrs) and gender, duration of MS, EDSS Mobility, MS subtype, education level, problems thinking, cognitive fatigue, physical fatigue, pain, depression, and sleep problems were included as predictors. Results: The percentage of unemployed among people with MS climbed from 39% of 18-34 yr olds to 47% of 35-44 yr olds, to 58% of 45-54 yr olds to 75% of 55-64 yr olds. Predictors of unemployment were similar throughout the 3 middle age groups (35 &amp;ndash; 64 yrs) and included duration of disease, EDSS mobility level, problems thinking.Predictors differed in the youngest age group (18-34 yrs) where only education level was a statistically significant. Also, the contribution of pain as a significant predictor only occurred in the 35-44 age group. Conclusions: People with MS are more likely to be unemployed when their MS progresses including mobility limitations as well as cognitive impairments. Surprisingly, secondary conditions of fatigue, depression, and sleep problems were not associated unemployment. Programs and services to support employment should target people with MS who are experiencing mobility and cognitive changes as they age.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">10 Suppl</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Brown, Pat A</style></author><author><style face="normal" font="default" size="100%">Knaster, Elizabeth S</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Aging with disability in the workplace.</style></title><secondary-title><style face="normal" font="default" size="100%">Physical medicine and rehabilitation clinics of North America</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Phys Med Rehabil Clin N Am</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aging</style></keyword><keyword><style  face="normal" font="default" size="100%">Disability Evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">Disabled Persons</style></keyword><keyword><style  face="normal" font="default" size="100%">Employment</style></keyword><keyword><style  face="normal" font="default" size="100%">Employment, Supported</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple Sclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Muscular Dystrophies</style></keyword><keyword><style  face="normal" font="default" size="100%">Postpoliomyelitis Syndrome</style></keyword><keyword><style  face="normal" font="default" size="100%">Program Evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality of Life</style></keyword><keyword><style  face="normal" font="default" size="100%">Rehabilitation, Vocational</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">United States</style></keyword><keyword><style  face="normal" font="default" size="100%">Workplace</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">267-79</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Aging with disabilities, such as multiple sclerosis, spinal cord injury, muscular dystrophy, and postpolio syndrome, can lead to barriers to participation, including employment barriers. Many individuals develop strategies for overcoming these barriers that may become less successful as they experience more secondary conditions concomitant with the aging process. Rehabilitation professionals can help to overcome barriers to workplace participation and should work with clients to enhance employment outcomes.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/20494276?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Borson, Soo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Cognition, aging, and disabilities: conceptual issues.</style></title><secondary-title><style face="normal" font="default" size="100%">Physical medicine and rehabilitation clinics of North America</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Phys Med Rehabil Clin N Am</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Activities of Daily Living</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Aging</style></keyword><keyword><style  face="normal" font="default" size="100%">Cognition Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Disability Evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">Disabled Persons</style></keyword><keyword><style  face="normal" font="default" size="100%">Executive Function</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Geriatric Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Incidence</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Neuropsychological Tests</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality of Life</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Sickness Impact Profile</style></keyword><keyword><style  face="normal" font="default" size="100%">Task Performance and Analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">375-82</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This article reviews normative changes in cognition that are observed across the adult life span and considers how specific disabilities may interact with aging processes to increase functional decline in later life. Disabling conditions that directly affect the brain are contrasted with those that do not. The goal is twofold: to create a framework for thinking about how cognitive changes, aging, and disability may interact to help explain individual differences in coping, and to promote the inclusion of cognition in a comprehensive approach to assessment and care.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/20494283?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Bourgeois, Michelle S</style></author><author><style face="normal" font="default" size="100%">Baylor, Carolyn R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Communication and aging.</style></title><secondary-title><style face="normal" font="default" size="100%">Physical medicine and rehabilitation clinics of North America</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Phys Med Rehabil Clin N Am</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Aging</style></keyword><keyword><style  face="normal" font="default" size="100%">Communication</style></keyword><keyword><style  face="normal" font="default" size="100%">Communication Barriers</style></keyword><keyword><style  face="normal" font="default" size="100%">Communication Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Dysarthria</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Geriatric Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Behavior</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Services Accessibility</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Incidence</style></keyword><keyword><style  face="normal" font="default" size="100%">Interpersonal Relations</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Memory Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Professional-Patient Relations</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality of Life</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Sensation Disorders</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">309-19</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;People with communication disorders form a diverse group with some experiencing long-standing disorders and others the onset of new disorders in old age. Regardless of age at onset, the burden of communication disorders is cumulative and has important implications for health care providers. Communication serves many roles for older people, not only establishing and maintaining social affiliations but also providing access to health care services. Health care providers should be aware of potential communication disorders and make provision for quiet environments, reading materials at appropriate literacy levels, and longer appointments for people with communication difficulties.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/20494279?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Connell, Frederick A</style></author><author><style face="normal" font="default" size="100%">Dudgeon, Brian J</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Frequency of purchase and associated costs of assistive technology for Washington State Medicaid program enrollees with spina bifida by age.</style></title><secondary-title><style face="normal" font="default" size="100%">Disability and Health Journal</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Disabil Health J</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Child</style></keyword><keyword><style  face="normal" font="default" size="100%">Child, Preschool</style></keyword><keyword><style  face="normal" font="default" size="100%">Communication Aids for Disabled</style></keyword><keyword><style  face="normal" font="default" size="100%">Disabled Persons</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Care Costs</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Infant</style></keyword><keyword><style  face="normal" font="default" size="100%">Infant, Newborn</style></keyword><keyword><style  face="normal" font="default" size="100%">Insurance, Health, Reimbursement</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Medicaid</style></keyword><keyword><style  face="normal" font="default" size="100%">Orthotic Devices</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Dysraphism</style></keyword><keyword><style  face="normal" font="default" size="100%">United States</style></keyword><keyword><style  face="normal" font="default" size="100%">Washington</style></keyword><keyword><style  face="normal" font="default" size="100%">Wheelchairs</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 Jul</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">3</style></volume><pages><style face="normal" font="default" size="100%">155-61</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Assistive technology (AT) is one strategy to mitigate or eliminate barriers to independence for individuals with disabilities, including those with spina bifida (SB). However, little is known about current use and costs of AT for people with SB, including the cost burden to medical insurance payees. OBJECTIVE: The aim of this study was to evaluate frequency of AT purchases and their associated costs for individuals with SB covered by the Washington State Medicaid program. Additionally, we sought to compare Medicaid reimbursement for AT to the overall Medicaid reimbursement for all medical care for these individuals. METHODS: Data included all electronic claims and eligibility records of persons covered by the Medicaid program over a 4-year period (2001-2004) who had at least one service with a coded diagnosis of SB. Procedure codes were reviewed and grouped into the following AT categories: manual wheelchairs, powered wheelchairs, wheelchair cushions and seats, wheelchair accessories and repairs, wheelchair rental, ambulatory aids, orthotic and prosthetic devices, positioning aids, bathroom equipment, beds and bed accessories, and communication and hearing aids. Age group analyses were conducted after dividing patients into 3 age groups (0-15, 16-25, and 26+). Further subgroup analyses were done for individuals with dual or capitated medical coverage compared with those who had fee-for-service Medicaid-only coverage. RESULTS: A total of 984 individuals with at least one diagnosis of SB during the 4-year study period were identified. On average, approximately one third of individuals made claims for some type of AT per year; the majority of these AT claims (87%) were for mobility-related AT. Average annual Medicaid cost of AT was $494 per enrollee and AT accounted for 3.3% of all Medicaid costs for these individuals. AT-related costs were highest for those aged 0-15 years and lowest for those aged 16-25 years. Persons with only fee-for-service Medicaid coverage had more than twice the annualized Medicaid AT-related expenditures compared to those with additional coverage or who were covered under a Medicaid capitation plan. CONCLUSIONS: Medicaid reimbursement for AT, as classified in this study, is a relatively low percentage of overall medical costs for individuals with SB. Because of the small percentage of non-mobility-related AT paid for in this study, we believe there may be a substantial unmet need for AT in this population and/or that individuals with SB may have significant AT-related out-of-pocket expenses. Given its large potential impact and relatively low cost burden to Medicaid, AT is a &amp;quot;good buy&amp;quot; and coverage for AT should be expanded.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21122780?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Stoelb, Brenda</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The relationship of age-related factors to psychological functioning among people with disabilities.</style></title><secondary-title><style face="normal" font="default" size="100%">Physical medicine and rehabilitation clinics of North America</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Phys Med Rehabil Clin N Am</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Activities of Daily Living</style></keyword><keyword><style  face="normal" font="default" size="100%">Adaptation, Psychological</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Depressive Disorder</style></keyword><keyword><style  face="normal" font="default" size="100%">Disability Evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">Disabled Persons</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Geriatric Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Interpersonal Relations</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple Sclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Psychology</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality of Life</style></keyword><keyword><style  face="normal" font="default" size="100%">Self Concept</style></keyword><keyword><style  face="normal" font="default" size="100%">Sickness Impact Profile</style></keyword><keyword><style  face="normal" font="default" size="100%">Social Support</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 May</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">281-97</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The potential influence of age and aging on the psychological functioning of people with disabilities is surprisingly complex. In people with spinal cord injury or multiple sclerosis, depression is highly prevalent. The limited research in this area indicates that older age and greater time span since disability onset may be associated with less self-reported depressive symptoms. Posttraumatic growth (PTG) and benefit finding (BF) are also common in people with disabilities. Older age tends to be associated with less BF and PTG. Studies that use longitudinal designs and examine multiple age-related factors simultaneously are needed. Potential mediators of age-related effects, such as historical trends, life-cycle events, maturity, and declining health, also need to be examined. There are many interesting theoretic and empiric concepts from aging research that can inform future research on the psychological aspects of aging with disability.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/20494277?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hirsh, Adam T</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Relationship of Chronological Age, Age at Injury, and Duration of Injury to Employment Status in Individuals with Spinal Cord Injury.</style></title><secondary-title><style face="normal" font="default" size="100%">Psychological Injury and Law</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Psychol Inj Law</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009 Dec 1</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">263-275</style></pages><language><style face="normal" font="default" size="100%">ENG</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Employment status following spinal cord injury (SCI) has important implications for financial and psychosocial well-being. Several age-related variables-in particular chronological age, duration of SCI, and age at SCI onset-have been identified as being associated with employment among individuals with SCI. Cross-sectional investigations of this topic are complicated by methodological and statistical issues associated with aging and disability. The purpose of the current study was to examine the associations between three aging variables and employment status in individuals with SCI through a series of regression analyses. Six hundred twenty individuals with SCI completed a survey that included measures of demographic characteristics, pain, psychological functioning, physical functioning, fatigue, and sleep. The results indicated that chronological age and age at SCI onset were significant predictors of employment status. A significantly greater proportion of individuals aged 45-54 were employed compared to those aged 55-64 even after controlling for biopsychosocial variables. Additionally, there was a negative linear relationship between percent employed and age at SCI onset, and this relationship was not accounted for by the biopsychosocial variables. The analyses used in this study provide one method by which to disentangle the effects of different age-related variables on important SCI outcomes in cross-sectional research. Continued research in this area is needed to better understand age-related effects on employment status, which could be used to help maximize the quality of life in individuals with SCI.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3-4</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21297893?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Hirsh, Adam T</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sleep problems in individuals with spinal cord injury: frequency and age effects.</style></title><secondary-title><style face="normal" font="default" size="100%">Rehabilitation Psychology</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Rehabil Psychol</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Age of Onset</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-Sectional Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Georgia</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Questionnaires</style></keyword><keyword><style  face="normal" font="default" size="100%">Severity of Illness Index</style></keyword><keyword><style  face="normal" font="default" size="100%">Sleep Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Socioeconomic Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Washington</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009 Aug</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">54</style></volume><pages><style face="normal" font="default" size="100%">323-31</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVES: The two objectives of this study were (a) to replicate the previous finding of more severe sleep difficulties in a sample of individuals with spinal cord injury (SCI) compared with normative samples, and (b) to examine the associations between aging variables (specifically, chronological age, duration of SCI, age at SCI onset) and the severity of sleep difficulties. DESIGN: Cross-sectional survey. RESEARCH METHOD: A survey was administered to 620 individuals with SCI that included measures of demographic characteristics and sleep difficulties. RESULTS: The findings indicated that sleep problems are more common in individuals with SCI than in normative samples. In addition, younger participants in our sample reported more sleep problems than did older participants. Duration of SCI and age at onset, however, were not significantly associated with sleep difficulties. CONCLUSION: The analyses used in this study provide a model for examining age effects using concurrent survey data that may be useful for other investigators interested in studying the associations between age-related variables and important health-related domains.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/19702431?dopt=Abstract</style></custom1></record></records></xml>