<?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%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Arewasikporn, Anne</style></author><author><style face="normal" font="default" size="100%">Nelson, Ian K</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Promoting resilience in individuals aging with multiple sclerosis: Results from a pilot randomized controlled trial.</style></title><secondary-title><style face="normal" font="default" size="100%">Rehabilitation Psychology</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%">07/2018</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">63</style></volume><pages><style face="normal" font="default" size="100%">338-348</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;color: rgb(51, 51, 51); font-family: sans-serif; background-color: rgb(255, 255, 255);&quot;&gt;Starting in middle adulthood, individuals living with multiple sclerosis (MS) are confronted with the simultaneous challenge of coping with advancing MS alongside age-related changes. Psychological resilience is thought to play an important role in promoting healthy aging and thus may be important in the context of aging with MS. This study aimed to evaluate whether Everyday Matters, a novel positive psychology program, had a positive effect on resilience and other related outcomes in adults with MS relative to a wait-list control group. Research Method/Design: This was a single-center two-group pilot randomized (1:1) controlled trial comparing the Everyday Matters intervention to a waitlist control. Randomized participants were&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; font-family: sans-serif; color: rgb(51, 51, 51); background-color: rgb(255, 255, 255);&quot;&gt;N&lt;/em&gt;&lt;span style=&quot;color: rgb(51, 51, 51); font-family: sans-serif; background-color: rgb(255, 255, 255);&quot;&gt;&amp;nbsp;= 31 adults with MS aged &amp;ge; 45 years. The 6-week program, developed by the National MS Society, was delivered via group teleconference and supplemented with readings, videos, and online participation. Participants in both groups completed outcome assessments measuring resilience, satisfaction with social roles, mood, pain, fatigue, and sleep at baseline and posttreatment. Results: Analyses on&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; font-family: sans-serif; color: rgb(51, 51, 51); background-color: rgb(255, 255, 255);&quot;&gt;N&lt;/em&gt;&lt;span style=&quot;color: rgb(51, 51, 51); font-family: sans-serif; background-color: rgb(255, 255, 255);&quot;&gt;&amp;nbsp;= 27 participants who completed study assessments revealed a significant group effect for resilience and satisfaction with social roles, and trend differences for positive affect and well-being and depressive symptom severity. At posttreatment, participants in the intervention group reported the group to be very helpful, found the telephone-based delivery convenient, and felt the benefits of participating outweighed the effort. Conclusions/Implications: These results suggest that the Everyday Matters program shows promise for increasing resilience in adults with MS and that a full-scale randomized controlled trial is warranted.&lt;/span&gt;&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%">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>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Silverman, Arielle M</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee M</style></author><author><style face="normal" font="default" size="100%">Alschuler, Kevin N</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></authors></contributors><titles><title><style face="normal" font="default" size="100%">Bouncing back again, and again: a qualitative study of resilience in people with multiple sclerosis.</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 Feb 15</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">1-9</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 describe the meaning of resilience, factors facilitating resilience and barriers to resilience, from the perspective of persons with multiple sclerosis (MS), their care partners and community stakeholders. Method We conducted four focus groups: two with middle-aged (36-62 years) individuals with MS [one with men (n&amp;thinsp;=&amp;thinsp;6) and one with women (n&amp;thinsp;=&amp;thinsp;6)], one for partners of individuals with MS (n&amp;thinsp;=&amp;thinsp;11) and one with community stakeholders serving people with MS (n&amp;thinsp;=&amp;thinsp;9). We asked participants to describe what resilience means to them, what factors facilitate resilience and what barriers to resilience they perceive. We analyzed the focus group transcripts for emerging themes and sub-themes. Results Participants found it difficult to generate a concise definition of resilience, but they generated evocative descriptions of the concept. Psychological adaptation, social connection, life meaning, planning and physical wellness emerged as facilitators of resilience. Resilience depletion, negative thoughts and feelings, social limitations, social stigma and physical fatigue emerged as barriers to resilience. Conclusion The unpredictable nature of MS can present unique challenges to resilient adjustment, especially during middle age. However, several factors can contribute to resilience and quality of life, and these factors are amenable to intervention. Implications for Rehabilitation Resilience is the capacity to bounce back and thrive when faced with challenges. People with MS develop resilience through psychological adaptation, social connection, life meaning, planning ahead and physical wellness. Barriers to resilience with MS include burnout, negative thoughts and feelings, social difficulties, stigma and fatigue. Interventions should address both individual and social factors that support resilience, such as promoting positive thinking, planning and engagement in meaningful activities.&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>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%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Gillanders, David T</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></authors></contributors><titles><title><style face="normal" font="default" size="100%">The role of pain acceptance on function in individuals with disabilities: a longitudinal study.</style></title><secondary-title><style face="normal" font="default" size="100%">Pain</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Acceptance</style></keyword><keyword><style  face="normal" font="default" size="100%">Chronic Pain</style></keyword><keyword><style  face="normal" font="default" size="100%">Pain intensity</style></keyword><keyword><style  face="normal" font="default" size="100%">Physical function</style></keyword><keyword><style  face="normal" font="default" size="100%">Sleep quality</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016 Jan</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">157</style></volume><pages><style face="normal" font="default" size="100%">247-54</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Having higher levels of pain acceptance has been shown to be associated positively with quality of life in patients with chronic pain, but its role in adjustment to chronic pain among individuals with physical disabilities living in the community is not known. Moreover, issues related to item overlap between measures of pain acceptance and measures of patient function have limited the conclusions that can be drawn from previous research in this area. To better understand the role that pain acceptance plays in patient function, we administered measures of pain acceptance, pain intensity, depressive symptoms, and function to 392 individuals with physical disabilities, and the pain, symptom, and function measures were readministered 3.5 years later. Analyses evaluated the main and interaction effects of initial pain acceptance on subsequent changes in pain and function. Having higher levels of pain acceptance-in particular as reflected by a willingness to engage in activities despite pain-resulted in less increase in pain intensity and more improvements in pain interference, physical function, depressive symptoms, and sleep quality. The findings indicate that previous research supporting the importance of pain acceptance to function in patients from health care settings extends to individuals with chronic pain living in the community. Moreover, they indicate that pain acceptance may have long-lasting (up to 3.5 years) beneficial effects on subsequent pain and function and on the association between change in pain and depression. Research to examine the potential benefits of community-based treatments that increase pain acceptance is warranted.&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%">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%">Ehde, Dawn M</style></author><author><style face="normal" font="default" size="100%">Elzea, Jamie L</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee M</style></author><author><style face="normal" font="default" size="100%">Gibbons, Laura E</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda</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%">Efficacy of A Telephone-Delivered Self-Management Intervention For Persons With Multiple Sclerosis: a Randomized Controlled Trial With a One-Year Follow-Up.</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%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015 Nov</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">96</style></volume><pages><style face="normal" font="default" size="100%">1945-1958</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 the efficacy of a telephone-delivered self-management intervention for fatigue, pain, and depression in adults with multiple sclerosis (MS). DESIGN: Single-center, randomized (1:1), single blind (outcome assessors) parallel-group trial with a primary end-point of post-treatment (9-11 weeks post-randomization) and long-term follow-ups at 6- and 12-months. SETTING: Telephone-delivered across the United States. PARTICIPANTS: Adults with MS (N=163) with fatigue, chronic pain, and/or moderate depressive symptoms (age range 25-76 years). INTERVENTIONS: Eight-week individual telephone-delivered self-management intervention (T-SM: n=75) versus an eight-week individual telephone-delivered MS education intervention (T-ED: n=88). MAIN OUTCOME MEASURES: The primary outcome was the proportion who achieved a &amp;gt; 50% decrease in one or more symptom - fatigue impact, pain interference, and/or depression severity. Secondary outcomes included continuous measures of pain, fatigue impact, depression, self-efficacy, activation, health-related quality of life, resilience, and affect. RESULTS: For our primary outcome, 58% of those in the T-SM and 46% of those in the T-Ed had a &amp;gt; 50% reduction in one or more symptom; this difference was not statistically significant (OR: 1.50, 95% CI: 0.77 to 2.93, p = 0.238). Participants in both groups significantly improved from baseline to post-treatment in primary and secondary outcome measures (p &amp;lt; 0.05). T-SM participants reported significantly higher treatment satisfaction and therapeutic alliance and greater improvements in activation, positive affect, and social roles. Improvements were generally maintained at 6- and 12-months. CONCLUSIONS: Both interventions resulted in short- and long-term, clinically meaningful benefits. The study demonstrated that the telephone is an effective method for engaging participants in and extending the reach of care for individuals with MS.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue><section><style face="normal" font="default" size="100%">1945</style></section></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>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Johnson, KL</style></author><author><style face="normal" font="default" size="100%">Hertz, D.</style></author><author><style face="normal" font="default" size="100%">Alschuler, K.</style></author><author><style face="normal" font="default" size="100%">Stobbe, G.</style></author><author><style face="normal" font="default" size="100%">Scott, J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple Sclerosis Project Echo: Outreach to Rural Providers to Provide Innovative Collaborative Training Using Video Conferencing</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><pub-location><style face="normal" font="default" size="100%">Oral Presentation at NARRTC's Annual Conference, Anexandria, Virginia</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>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%">Silverman, Arielle M</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn 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%">Resilience Predicts Functional Outcomes in People Aging With Disability: A Longitudinal Investigation.</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%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015 Mar 7</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;OBJECTIVES: To investigate the links between resilience and depressive symptoms, social functioning, and physical functioning in people aging with disability and to investigate the effects of resilience on change in functional outcomes over time. DESIGN: Longitudinal postal survey. SETTING: Surveys were mailed to a community sample of individuals with 1 of 4 diagnoses: multiple sclerosis, muscular dystrophy, postpoliomyelitis syndrome, or spinal cord injury. The survey response rate was 91% at baseline and 86% at follow-up. PARTICIPANTS: A convenience sample of community-dwelling individuals (N=1594; age range, 20-94y) with multiple sclerosis, muscular dystrophy, postpoliomyelitis syndrome, or spinal cord injury. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Patient Health Questionnaire-9 (to assess depressive symptoms) and Patient Reported Outcomes Measurement Information System (to assess social role satisfaction and physical functioning). RESULTS: At baseline, resilience was negatively correlated with depressive symptoms (r=-.55) and positively correlated with social and physical functioning (r=.49 and r=.17, respectively). Controlling for baseline outcomes, greater baseline resilience predicted a decrease in depressive symptoms (partial r=-.12) and an increase in social functioning (partial r=.12) 3 years later. CONCLUSIONS: The findings are consistent with a view of resilience as a protective factor that supports optimal functioning in people aging with disability.&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%">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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Verrall, Aimee M</style></author><author><style face="normal" font="default" size="100%">Alschuler, Kevin A</style></author><author><style face="normal" font="default" size="100%">Johnson, KL</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%">Aging with a Long-Term Physical Disability: Primary and Rehabilitation Care Use.</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;u&gt;Introduction.&lt;/u&gt;&amp;nbsp; People with disabilities and chronic conditions indicate high utilization of many types of health care in numerous settings. &amp;nbsp;People with long-term physical disabilities (LTPD), such as multiple sclerosis, muscular dystrophy, post-polio syndrome, and spinal cord injury, are living longer than ever.&amp;nbsp; Now, people with LTPDs&amp;rsquo; health may not only experience secondary conditions (pain, fatigue, depression) from their original disability, but aging as well.&amp;nbsp; In this study we examined the use of primary and rehabilitation care by people aging with LTPD.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Methods.&lt;/u&gt; We identified needs, barriers / facilitators, and predisposing characteristics of primary and rehabilitation care use from a self-reported survey collected in 2012&amp;ndash;2013 of community dwelling people aging with LTPD. &amp;nbsp;We used Anderson&amp;rsquo;s model of health services utilization as a conceptual model.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Results&lt;/u&gt;.&amp;nbsp; The survey was completed by 1,369 people with LTPD with a mean age of 63 years.&amp;nbsp; In the last 12 months, 70% reported seeing a primary care provider (PCP) and 65% a rehabilitation provider.&amp;nbsp; The most common need predicting PCP use was severe mobility limitation and pain interference.&amp;nbsp; For seeing rehabilitation providers the main predictor, also a need, was all ranges of mobility issues (mild to severe).&amp;nbsp; Relative to men, women with LTPD were less likely to see a PCP.&amp;nbsp; Surprisingly, socioeconomic status and health insurance coverage were not predictors of health care usage.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Conclusion&lt;/u&gt;.&amp;nbsp; Needs, overwhelmingly mobility driven, affect use of health services among people with LTPD.&amp;nbsp; More research is needed to further describe the complex health care usage of people aging with LTPD.&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%">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%">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%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Terrill, Alexandra L</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Yorkston, Kathryn M</style></author><author><style face="normal" font="default" size="100%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Ehde, Dawn 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%">Modeling Secondary Health Conditions in Adults Aging With Physical Disability.</style></title><secondary-title><style face="normal" font="default" size="100%">J Aging Health</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J Aging Health</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%">04/2014</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">Apr;26</style></volume><pages><style face="normal" font="default" size="100%">335-59</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: To test a conceptual model of secondary health conditions, age, and function in persons aging with long-term physical disabilities. METHODS: Surveys were collected from 1,862 adults with spinal cord injury, neuromuscular disease, multiple sclerosis, or post-polio syndrome. Structural equation modeling was used to build a model describing relationships among physical and psychosocial secondary health conditions, pain, functional impairments, chronic medical conditions, and age. RESULTS: In total, 12 individual symptom or function domains (latent factors) were identified, grouped into 5 broader factors. Increasing age was associated with greater rates of physical and health problems and poorer function, and showed curvilinear relationships with pain and psychosocial difficulties. DISCUSSION: These data support a biopsychosocial model of secondary health conditions in adults aging with physical disability and suggest a five-factor approach for conceptualizing secondary conditions and their impact. Results also emphasize the importance of age in symptom severity and impact.&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/24388897?dopt=Abstract</style></custom1><section><style face="normal" font="default" size="100%">335</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%">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%">Molton, Ivan</style></author><author><style face="normal" font="default" size="100%">Cook, Karon F</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Chen, Wen-Hung</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%">Prevalence and impact of pain in adults aging with a physical disability: comparison to a US general population sample.</style></title><secondary-title><style face="normal" font="default" size="100%">Clin J Pain</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%">30</style></volume><pages><style face="normal" font="default" size="100%">307-15</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVES: To describe rates of pain and pain interference in a large sample of adults aging with long-standing physical disabilities, relative to a normative US population sample. METHODS: Self-report survey data was collected for a sample of 1877 individuals with spinal cord injury, neuromuscular disease, postpolio syndrome, or multiple sclerosis. Rates of pain severity and pain interference in these samples were then compared with those taken from a large normative sample (&amp;gt;20,000) collected through the NIH Patient Reported Outcomes Measurement Information System (PROMIS). RESULTS: Individuals with long-standing physical disabilities reported higher levels of pain and pain interference across the lifespan as compared with individuals in the normative sample. In general, individuals with disability did not experience an age-related decrease in pain and pain impact in contrast to those in the normative sample. For 3 disability groups (neuromuscular disease, postpolio syndrome, and multiple sclerosis), pain interference remained elevated and significantly higher than national norms in the &amp;quot;postretirement&amp;quot; period (ie, age 65 to 74). DISCUSSION: Results from this study provide a large scale data on prevalence rates of pain and pain interference in this population. Findings underscore the prevalence and impact of pain in persons with disabilities and suggest that individuals with disability may not experience the same degree of decrease in pain interference in later life that is typical of the US population. Those aging with disability may be especially at risk for pain-related impairment in later life.&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%">Friedly, Janna</style></author><author><style face="normal" font="default" size="100%">Akuthota, Venu</style></author><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author><author><style face="normal" font="default" size="100%">Patrick, Donald</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Why disability and rehabilitation specialists should lead the way in patient-reported outcomes.</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%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Leadership</style></keyword><keyword><style  face="normal" font="default" size="100%">Patient Outcome Assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">Patient-Centered Care</style></keyword><keyword><style  face="normal" font="default" size="100%">Physical and Rehabilitation Medicine</style></keyword><keyword><style  face="normal" font="default" size="100%">Self Report</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 Aug</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">95</style></volume><pages><style face="normal" font="default" size="100%">1419-22</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">8</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>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Better Outcome Measures for Better Rehabilitation Outcomes</style></title><secondary-title><style face="normal" font="default" size="100%">Presentation at the 28th Annual Justus F. Lehmann Symposium, University of Washington, Department of Rehabilitation Medicine, Seattle, WA</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%">05/2013</style></date></pub-dates></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%">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%">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%">Cook, Karon F</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%">Development of a Crosswalk for Pain Interference Measured by the BPI and PROMIS Pain Interference Short Form</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%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2013</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">2769-76</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span&gt;Introduction:&amp;nbsp; To help researchers in Multiple Sclerosis (MS) take advantage of the measurement properties of the &lt;/span&gt;PROMIS&lt;span&gt; Pain Interference instrument while maintaining continuity with previous research, we developed and tested a crosswalk table to transform Brief Pain Inventory Pain Interference scale (BPI) scores to &lt;/span&gt;PROMIS-PI&lt;span&gt; short form (&lt;/span&gt;PROMIS-PI&lt;span&gt; SF) scores.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;Methods: The BPI and the PROMIS-PI SF were administered in two studies that included persons with MS. One sample of 369 participants served as a developmental calibration sample, and separate sample of 360 served as a validation sample. The crosswalk development included dimensionality assessment, item-level parameter estimation, and assessment of accuracy. BPI and PROMIS-PI T-scores were obtained from participants&amp;rsquo; item responses, and using the crosswalk table, PROMIS-PI T-scores were derived from responses to the BPI items. Differences between observed and crosswalked T-scores were compared in both samples.&lt;/p&gt;
&lt;p&gt;Results: For BPI summary scores ranging from 0 to 10, corresponding T-scores ranged from 38.6 to 81.2. &amp;nbsp;The mean difference between observed and crosswalked T-scores was 0.51 (sd=3.9) in the calibration sample and -1.47 (sd=4.2) in the validation sample. Approximately 80% of crosswalked scores in the calibration sample were within 4 score points of the observed PROMIS-PI SF scores, and 70% were within 4 points in the validation sample. In both samples, the largest differences were at lower levels of the pain interference continuum.&lt;/p&gt;
&lt;p&gt;Conclusions: Crosswalked pain interference scores adequately approximated observed PROMIS-PI SF scores in both the calibration and validation samples. Researchers and clinicians interested in adopting the PROMIS instruments can use this table to transform BPI scores to enable comparisons with other studies and to maintain continuity with previous research.&amp;nbsp;&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><section><style face="normal" font="default" size="100%">2769</style></section></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%">Verrall, Aimee M</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%">Artherholt, Samantha</style></author><author><style face="normal" font="default" size="100%">Dawn Ehde</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%">Scoping Review of Health and Wellness Interventions for People Aging with and into Physical Disability</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; There is an urgent need to increase knowledge, services, and evidence-based health and wellness (HW) interventions for people aging with and into disability as traditional aging services are expanding to serve this subpopulation. People who are aging with or into physical disabilities have high prevalence of comorbid conditions and health risk factors and this subpopulation is projected to increase dramatically in the next 20 years.&amp;nbsp; A scoping review of the HW intervention literature was conducted in order to: (1) assess the adaptability of the interventions for people aging with a physical disability and (2) contrast the interventions with evidenced-based HW interventions in aging populations that are being implemented across the U.S. on a larger scale.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Methods.&lt;/u&gt; PubMed, CINAHL, and PsycINFO were searched for peer-reviewed articles about adults with spinal cord injury, multiple sclerosis, stroke, osteoarthritis, post-polio syndrome, and muscular dystrophy. The inclusion criteria for articles included:&amp;nbsp; (1) addressed promotion of HW in adults with physical disabilities; (2) focused on community-based behavioral or educational intervention that targeted HW.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Results&lt;/u&gt;.&amp;nbsp; Data were extracted from 82 articles meeting inclusion criteria. The most common HW interventions included exercise, self-management, counseling, and health education, which often paralleled interventions being deployed by aging agencies.&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Conclusion&lt;/u&gt;.&amp;nbsp; There is support for adapting concepts and strategies from HW interventions from the fields of both aging and disability by applying standard adaptation models to create evidence-based HW interventions for the subpopulation of people aging with and into disability.&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%">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>10</ref-type><contributors><authors><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%">Amtmann, Dagmar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Body mass index and symptoms and quality of life indicators of individuals aging with disabilities</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 Public Health Association (APHA) Annual Meeting</style></publisher><pub-location><style face="normal" font="default" size="100%">San Francisco, CA</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;Introduction: People with disabilities (PWD) may find it more difficult to eat a healthy diet, control their weight, and be physically active. Health risks of obesity for PWD are well known, but the effects of obesity on secondary conditions and QoL has not been well established. Methods: PROMIS measures of fatigue, pain interference, physical and social function, depression, and sleep and wake disturbance were completed by individuals with muscular dystrophy (339), multiple sclerosis (579), post-polio syndrome (443), and spinal cord injury (488) (total N=1849) participating in an ongoing longitudinal survey of people aging with a disability. Self-reported weight and height were used to calculate BMI. T-scores by BMI categories were compared to the PROMIS US population norms. Results: The mean BMI of respondents was 26.4 kg/m2 with 5.3% classified as underweight (&amp;lt;18.5), 41.6% normal-weight (18.5&amp;lt;25), 29.7% overweight (25&amp;lt;30), and 23.4% obese (&amp;ge;30). Overweight and obese respondents tended to be older than normal weight individuals (p&amp;lt;0.05) and of male gender (p&amp;lt;0.0001). Compared to the US general population, individuals with disabilities reported a higher symptom burden and poorer QoL on all measures (all p&amp;lt;0.0001). Compared to the normal weight group obese individuals reported worse functioning on all QoL domains except depression (all p&amp;lt;0.05). In comparison to the overweight group the obese group also reported worse physical and social functioning, more fatigue and depression. Conclusion: Obesity in PWD is associated with a higher symptom burden and self-reported QoL. This should be considered when designing and deploying interventions to reduce obesity.&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%">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>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chen, Wen-Hung</style></author><author><style face="normal" font="default" size="100%">Revicki, Dennis</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%">Keefe, Francis J</style></author><author><style face="normal" font="default" size="100%">Cella, David</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development and Analysis of PROMIS Pain Intensity Scale.</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%">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;Aims: The primary objective of this study is to develop a PROMIS Pain Intensity Scale by evaluating the unidimensionality and completing item calibration of the pain intensity items developed in the PROMIS Wave I study. This document provides a summary of the item selection process based on the results of the conﬁrmatory factor analysis (CFA) and item response theory (IRT) analysis. Methods: The PROMIS project is focused on developing item banks and assessment instruments for pain and other patient-reported outcome domains. The draft PROMIS pain related items were developed based on literature reviews, clinician interviews, and qualitative research with patients with pain. In addition to the three item banks related to pain (pain interference, pain quality, and pain behavior), six items were identiﬁed as pain intensity items. The data used in this study included: 1) PROMIS Wave I sample where internet survey data were collected from 838 participants who responded to all six pain intensity items and 5,059 participants who responded to at least one pain intensity item; 2) American Chronic Pain Association (ACPA) sample where 967 participants completed subset of the pain intensity items; and 3) Northwestern University sample where 532 participants completed another subset of the pain intensity items. Participants reporting no pain were excluded from the analysis. We evaluated inter-item correlations, conﬁrmatory factor analysis (CFA), item response theory analysis, and correlations with other PROMIS global items of these six pain intensity items. Results: Inter-item correlation ranges from 0.33 to 0.93. CFA shows good ﬁt of the six items to a unidimensional model: comparative ﬁx index (CFI)=0.989, Tucker-Lewis index (TLI)=0.986, and root mean square error of approximation (RMSEA)=0.093. Based on results of IRT analysis results three items are removed owing to local dependency and model misﬁt. The IRT slope parameters of the three remaining items were 1.84, 3.15, and 4.42. The category threshold parameters ranged from -2.30 to 3.23. Correlation with global pain item is 0.68, and 0.61 with PROMIS global physical health score. Conclusions: The PROMIS pain intensity scale provides a measure of characteristic pain that could be useful in clinical and research settings.&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%">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%">Goetz, Mark C</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</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%">Effects of pain and fatigue on physical functioning and depression in persons with muscular dystrophy.</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%">277-83</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: Pain and fatigue are common symptoms experienced by persons with muscular dystrophy (MD). However, it is unclear from previous studies whether pain and fatigue have independent effects on physical functioning and depression, and whether age moderates the relationship of pain and fatigue with physical functioning and depression. OBJECTIVE: This cross-sectional study aimed to describe the relationship of pain and fatigue to physical functioning and depression in persons 20-89 years old with MD. METHOD: A convenience sample of 332 individuals with MD completed a questionnaire that included measures of physical functioning (PROMIS item bank items), depression (PHQ-9), pain intensity (0-10 NRS), and fatigue (0-10 NRS). RESULTS: Pain and fatigue were each independently associated with physical functioning and depression. Depressive symptoms were most severe among middle-aged participants (45-64 years old) relative to older and younger participants. Physical functioning had a negative relationship with chronological age. CONCLUSIONS: Symptoms of pain and fatigue are significantly and independently related to physical functioning and depression in persons with MD. Research is needed to determine if treatments that target both pain and fatigue in patients with MD have more beneficial effects than treatments that target only one of these symptoms.&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/23021739?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%">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%">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%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Alschuler, Kevin N</style></author><author><style face="normal" font="default" size="100%">Smith, Amanda E</style></author><author><style face="normal" font="default" size="100%">Verrall, Aimee</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></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pain and fatigue in persons with postpolio syndrome: independent effects on functioning.</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><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%">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%">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%">Pain</style></keyword><keyword><style  face="normal" font="default" size="100%">Postpoliomyelitis Syndrome</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 Nov</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">92</style></volume><pages><style face="normal" font="default" size="100%">1796-801</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: To better understand the importance of pain and fatigue in relation to functioning, and to investigate the role that age plays in these relationships in individuals with postpolio syndrome (PPS). DESIGN: Cross-sectional survey. SETTING: Community-based survey. PARTICIPANTS: Convenience sample of 446 individuals with PPS. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Physical functioning (Patient Reported Outcomes Measurement Information System Physical Functioning item bank items), psychological functioning (Patient Health Questionnaire-9), pain intensity (0-10 numerical rating scale [NRS]), and fatigue (0-10 NRS). RESULTS: Pain and fatigue make independent contributions to the prediction of physical and psychological functioning. Depression was more severe in the middle-aged (&amp;le;64y) group than in the young-old (65-74y) or middle-old to oldest (&amp;ge;75y) groups, although the associations between pain and fatigue and both physical and psychological functioning are similar across all age cohorts. CONCLUSIONS: Complaints of pain or fatigue in patients with PPS who are older or elderly should not be attributed &amp;quot;merely&amp;quot; to the process of aging. The findings also support the need for clinical trials to develop and evaluate interventions that may help patients with PPS function better by treating pain and fatigue, as well as the negative effects that these symptoms can have on functioning.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22032213?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%">Carter, Gregory T</style></author><author><style face="normal" font="default" size="100%">Weiss, Michael D</style></author><author><style face="normal" font="default" size="100%">Chamberlain, Joel R</style></author><author><style face="normal" font="default" size="100%">Han, Jay J</style></author><author><style face="normal" font="default" size="100%">Abresch, Richard T</style></author><author><style face="normal" font="default" size="100%">Miró, Jordi</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%">Aging with muscular dystrophy: pathophysiology and clinical management.</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, Physiological</style></keyword><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%">Aging</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%">Combined Modality Therapy</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%">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%">Muscular Dystrophies</style></keyword><keyword><style  face="normal" font="default" size="100%">Prognosis</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%">Severity of Illness Index</style></keyword><keyword><style  face="normal" font="default" size="100%">Sickness Impact Profile</style></keyword><keyword><style  face="normal" font="default" size="100%">Survival Analysis</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%">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%">429-50</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Major advances in the fields of medical science and physiology, molecular genetics, biomedical engineering, and computer science have provided individuals with muscular dystrophy (MD) with more functional equipment, allowing better strategies for improvement of quality of life. These advances have also allowed a significant number of these patients to live much longer. As progress continues to change management, it also changes patients&amp;#39; expectations. A comprehensive medical and rehabilitative approach to management of aging MD patients can often fulfill expectations and help them enjoy an enhanced quality of life.&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/20494287?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%">Johnson, K.</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%">Alschuler, K.</style></author><author><style face="normal" font="default" size="100%">Stobbe, G.</style></author><author><style face="normal" font="default" size="100%">Von Geldern, G.</style></author><author><style face="normal" font="default" size="100%">Kraft, G.</style></author><author><style face="normal" font="default" size="100%">Reynolds, P.</style></author><author><style face="normal" font="default" size="100%">Wundes, A.</style></author><author><style face="normal" font="default" size="100%">Alexander, K.</style></author><author><style face="normal" font="default" size="100%">Kalb, R.</style></author><author><style face="normal" font="default" size="100%">Unruh, K.</style></author><author><style face="normal" font="default" size="100%">Scott, J.</style></author></tertiary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple Sclerosis Project ECHO:  Outreach to rural providers to provide innovative collaborative training using video conferencing</style></title><secondary-title><style face="normal" font="default" size="100%">Annual Meeting  of the National Association of Rehabilitation Research and Training Centers</style></secondary-title></titles><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%">Johnson, K.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Stobbe, G.</style></author></secondary-authors><tertiary-authors><author><style face="normal" font="default" size="100%">Hertz, D.</style></author><author><style face="normal" font="default" size="100%">Alschuler, K.</style></author><author><style face="normal" font="default" size="100%">Alexander, K.</style></author><author><style face="normal" font="default" size="100%">Wundes, A.</style></author><author><style face="normal" font="default" size="100%">Kraft, G.</style></author><author><style face="normal" font="default" size="100%">Unruh, K.</style></author><author><style face="normal" font="default" size="100%">Kalb, R.</style></author><author><style face="normal" font="default" size="100%">Von Geldern, G.</style></author><author><style face="normal" font="default" size="100%">Reynolds, P.</style></author><author><style face="normal" font="default" size="100%">Scott, J.</style></author></tertiary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple Sclerosis Project Echo:  Outreach to Rural Providers to provide Innovative Collaborative Training Using Video Conferencing</style></title><secondary-title><style face="normal" font="default" size="100%">Northwest Regional Telehealth Resource Center</style></secondary-title></titles><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>