Disability and rehabilitation · 2026
Sedentary behavior and its correlates in adults with multiple sclerosis.
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DeJonge Sydney R, Huynh Trinh L T, Flores Victoria A, Motl Robert W
Аннотация
PURPOSE: We examined walking ability, fatigue, health-related quality of life, anxiety, depression, cognitive, and physical function as correlates of self-reported sedentary behavior in adults with multiple sclerosis (MS).
METHODS: 465 adults with MS completed surveys including the Marshall Sitting Questionnaire (MSQ), Multiple Sclerosis Walking Scale (MSWS-12), Fatigue Severity Scale (FSS), Hospital Anxiety and Depression Scale, Short Form Health Survey-12 physical and mental (SF-12 PCS and MCS), along with clinical characteristics and demographics surveys (e.g., MS type, patient-determined disease steps). Zoom-based assessments of the California Verbal Learning Test II [CVLT-II], the Symbol Digit Modalities Test, and the 30-second Sit-to-Stand were completed. Statistical analyses included bivariate correlations and a multivariable linear regression that identified correlates of sedentary behavior in MS.
RESULTS: The bivariate analyses indicated weak, but significant associations among MSQ and FSS (r = .092), SF-12 MCS (r = -0.111), and CVLT-II (r = -0.092). The multivariate regression demonstrated that SF-12 MCS scores entered the model in Step 1 (b = -0.111, p < .05), and CVLT-II entered the model in Step 2 (b = -0.090, p > .05).
CONCLUSION: We identified FSS, SF-12 MCS, and CVLT-II as correlates of sedentary behavior in adults with MS. SF-12 MCS was the strongest predictor of sedentary time.
METHODS: 465 adults with MS completed surveys including the Marshall Sitting Questionnaire (MSQ), Multiple Sclerosis Walking Scale (MSWS-12), Fatigue Severity Scale (FSS), Hospital Anxiety and Depression Scale, Short Form Health Survey-12 physical and mental (SF-12 PCS and MCS), along with clinical characteristics and demographics surveys (e.g., MS type, patient-determined disease steps). Zoom-based assessments of the California Verbal Learning Test II [CVLT-II], the Symbol Digit Modalities Test, and the 30-second Sit-to-Stand were completed. Statistical analyses included bivariate correlations and a multivariable linear regression that identified correlates of sedentary behavior in MS.
RESULTS: The bivariate analyses indicated weak, but significant associations among MSQ and FSS (r = .092), SF-12 MCS (r = -0.111), and CVLT-II (r = -0.092). The multivariate regression demonstrated that SF-12 MCS scores entered the model in Step 1 (b = -0.111, p < .05), and CVLT-II entered the model in Step 2 (b = -0.090, p > .05).
CONCLUSION: We identified FSS, SF-12 MCS, and CVLT-II as correlates of sedentary behavior in adults with MS. SF-12 MCS was the strongest predictor of sedentary time.