<?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%">Kroll, Thilo</style></author><author><style face="normal" font="default" size="100%">Kratz, Anna</style></author><author><style face="normal" font="default" size="100%">Kehn, Matthew</style></author><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Groah, Suzanne L</style></author><author><style face="normal" font="default" size="100%">Ljungberg, Inger H</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Bombardier, Charles H</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Perceived exercise self-efficacy as a predictor of exercise behavior in individuals aging with spinal cord injury.</style></title><secondary-title><style face="normal" font="default" size="100%">American Journal of Physical Medicine &amp; Rehabilitation</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Am J Phys Med Rehabil</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Aging</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-Sectional Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Exercise</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Behavior</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Linear Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Longitudinal Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Physical Exertion</style></keyword><keyword><style  face="normal" font="default" size="100%">Questionnaires</style></keyword><keyword><style  face="normal" font="default" size="100%">Resistance Training</style></keyword><keyword><style  face="normal" font="default" size="100%">Self Efficacy</style></keyword><keyword><style  face="normal" font="default" size="100%">Sex Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Wheelchairs</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012 Aug</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">91</style></volume><pages><style face="normal" font="default" size="100%">640-51</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVE: The purpose of this study was to test the hypothesized association between exercise self-efficacy and exercise behavior, controlling for demographic variables and clinical characteristics, in a sample of individuals with spinal cord injuries. DESIGN: A cross-sectional national survey of 612 community-dwelling adults with spinal cord injury in the United States ranging from 18 to 89 yrs of age was conducted. Sample consisted of 63.1% men with a mean (SD) duration of 15.8 (12.79) yrs postinjury; 86.3% reported using a wheelchair. RESULTS: Self-efficacy was the only independent variable that consistently predicted all four exercise outcomes. Self-efficacy beliefs were significantly related to frequency and intensity of resistance training (R(2) change = 0.08 and 0.03, respectively; P &amp;lt; 0.01 for all) and aerobic training (R(2) change = 0.07 and 0.05, respectively; P &amp;lt; 0.01 for all), thus explaining between 3% and 8% of the variance. Hierarchical linear regression analysis revealed that controlling for other demographic and physical capability variables, the age-related variables made statistically significant contributions and explained between 1% and 3% of the variance in aerobic exercise frequency and intensity (R(2) change = 0.01 and 0.03, respectively; P &amp;lt; 0.01 for all). Clinical functional characteristics but not demographic variables explained participation in resistance exercise. CONCLUSIONS: Self-efficacy beliefs play an important role as predictors of exercise. Variations in exercise intensity along the age continuum have implications for exercise prescription and composition. Future research should replicate findings with objective activity measures.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22660368?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cook, Karon F</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%">Fatigue and aging with a disability.</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%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aging</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 Surveys</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple Sclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Muscular Dystrophies</style></keyword><keyword><style  face="normal" font="default" size="100%">Postpoliomyelitis Syndrome</style></keyword><keyword><style  face="normal" font="default" size="100%">Self Report</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Washington</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 Jul</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">92</style></volume><pages><style face="normal" font="default" size="100%">1126-33</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 self-reported fatigue in 4 disability populations with age-matched, U.S. population norms. We assessed fatigue and age in a sample of individuals with spinal cord injury (SCI), postpolio syndrome (PPS), multiple sclerosis (MS), and muscular dystrophy (MD). DESIGN: This study used survey responses and published age cohort means for fatigue to test the hypothesis that fatigue would be higher in each of 4 clinical samples than the U.S. population norm. We also hypothesized that, for clinical samples, the mean fatigue reported within age cohorts would be higher than the general U.S. population norms for those age ranges derived in the Patient-Reported Outcomes Measurement Information System (PROMIS). SETTING: Survey responses were collected from participants in the Washington state area. PARTICIPANTS: Participants (N=1836) were persons with MD (n=337), MS (n=580), Post-polio (n=441), and SCI (n=478). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: PROMIS Depression Short Form. RESULTS: Individuals with disabilities reported higher levels of fatigue than the normative PROMIS population. In the normative population, self-reported fatigue was substantially lower in age cohorts from middle age to retirement age. However, individuals with disabilities did not demonstrate this age cohort effect. CONCLUSIONS: Individuals with disabilities are not only at greater risk to experience fatigue, but this risk, relative to normative values, increases with age. More research is needed to determine the specific negative impact of fatigue symptoms on functioning in individuals with disabilities as they age.&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/21704793?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>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author><author><style face="normal" font="default" size="100%">Connell, Frederick A</style></author><author><style face="normal" font="default" size="100%">Dudgeon, Brian J</style></author><author><style face="normal" font="default" size="100%">Johnson, Kurt L</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Frequency of purchase and associated costs of assistive technology for Washington State Medicaid program enrollees with spina bifida by age.</style></title><secondary-title><style face="normal" font="default" size="100%">Disability and Health Journal</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Disabil Health J</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Child</style></keyword><keyword><style  face="normal" font="default" size="100%">Child, Preschool</style></keyword><keyword><style  face="normal" font="default" size="100%">Communication Aids for Disabled</style></keyword><keyword><style  face="normal" font="default" size="100%">Disabled Persons</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Health Care Costs</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Infant</style></keyword><keyword><style  face="normal" font="default" size="100%">Infant, Newborn</style></keyword><keyword><style  face="normal" font="default" size="100%">Insurance, Health, Reimbursement</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Medicaid</style></keyword><keyword><style  face="normal" font="default" size="100%">Orthotic Devices</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Dysraphism</style></keyword><keyword><style  face="normal" font="default" size="100%">United States</style></keyword><keyword><style  face="normal" font="default" size="100%">Washington</style></keyword><keyword><style  face="normal" font="default" size="100%">Wheelchairs</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 Jul</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">3</style></volume><pages><style face="normal" font="default" size="100%">155-61</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;BACKGROUND: Assistive technology (AT) is one strategy to mitigate or eliminate barriers to independence for individuals with disabilities, including those with spina bifida (SB). However, little is known about current use and costs of AT for people with SB, including the cost burden to medical insurance payees. OBJECTIVE: The aim of this study was to evaluate frequency of AT purchases and their associated costs for individuals with SB covered by the Washington State Medicaid program. Additionally, we sought to compare Medicaid reimbursement for AT to the overall Medicaid reimbursement for all medical care for these individuals. METHODS: Data included all electronic claims and eligibility records of persons covered by the Medicaid program over a 4-year period (2001-2004) who had at least one service with a coded diagnosis of SB. Procedure codes were reviewed and grouped into the following AT categories: manual wheelchairs, powered wheelchairs, wheelchair cushions and seats, wheelchair accessories and repairs, wheelchair rental, ambulatory aids, orthotic and prosthetic devices, positioning aids, bathroom equipment, beds and bed accessories, and communication and hearing aids. Age group analyses were conducted after dividing patients into 3 age groups (0-15, 16-25, and 26+). Further subgroup analyses were done for individuals with dual or capitated medical coverage compared with those who had fee-for-service Medicaid-only coverage. RESULTS: A total of 984 individuals with at least one diagnosis of SB during the 4-year study period were identified. On average, approximately one third of individuals made claims for some type of AT per year; the majority of these AT claims (87%) were for mobility-related AT. Average annual Medicaid cost of AT was $494 per enrollee and AT accounted for 3.3% of all Medicaid costs for these individuals. AT-related costs were highest for those aged 0-15 years and lowest for those aged 16-25 years. Persons with only fee-for-service Medicaid coverage had more than twice the annualized Medicaid AT-related expenditures compared to those with additional coverage or who were covered under a Medicaid capitation plan. CONCLUSIONS: Medicaid reimbursement for AT, as classified in this study, is a relatively low percentage of overall medical costs for individuals with SB. Because of the small percentage of non-mobility-related AT paid for in this study, we believe there may be a substantial unmet need for AT in this population and/or that individuals with SB may have significant AT-related out-of-pocket expenses. Given its large potential impact and relatively low cost burden to Medicaid, AT is a &amp;quot;good buy&amp;quot; and coverage for AT should be expanded.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/21122780?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jensen, Mark P</style></author><author><style face="normal" font="default" size="100%">Hirsh, Adam T</style></author><author><style face="normal" font="default" size="100%">Molton, Ivan R</style></author><author><style face="normal" font="default" size="100%">Bamer, Alyssa M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sleep problems in individuals with spinal cord injury: frequency and age effects.</style></title><secondary-title><style face="normal" font="default" size="100%">Rehabilitation Psychology</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Rehabil Psychol</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Age Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Age of Onset</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged, 80 and over</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-Sectional Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Georgia</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Questionnaires</style></keyword><keyword><style  face="normal" font="default" size="100%">Severity of Illness Index</style></keyword><keyword><style  face="normal" font="default" size="100%">Sleep Disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">Socioeconomic Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Spinal Cord Injuries</style></keyword><keyword><style  face="normal" font="default" size="100%">Washington</style></keyword><keyword><style  face="normal" font="default" size="100%">Young Adult</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009 Aug</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">54</style></volume><pages><style face="normal" font="default" size="100%">323-31</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;OBJECTIVES: The two objectives of this study were (a) to replicate the previous finding of more severe sleep difficulties in a sample of individuals with spinal cord injury (SCI) compared with normative samples, and (b) to examine the associations between aging variables (specifically, chronological age, duration of SCI, age at SCI onset) and the severity of sleep difficulties. DESIGN: Cross-sectional survey. RESEARCH METHOD: A survey was administered to 620 individuals with SCI that included measures of demographic characteristics and sleep difficulties. RESULTS: The findings indicated that sleep problems are more common in individuals with SCI than in normative samples. In addition, younger participants in our sample reported more sleep problems than did older participants. Duration of SCI and age at onset, however, were not significantly associated with sleep difficulties. CONCLUSION: The analyses used in this study provide a model for examining age effects using concurrent survey data that may be useful for other investigators interested in studying the associations between age-related variables and important health-related domains.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/19702431?dopt=Abstract</style></custom1></record></records></xml>