CORRELATES OF PARTICIPATION IN MEANINGFUL ACTIVITIES AMONG PEOPLE WITH MULTIPLE SCLEROSIS

被引:33
|
作者
Plow, Matthew A. [1 ]
Finlayson, Marcia [2 ]
Gunzler, Douglas [3 ]
Heinemann, Allen W. [4 ,5 ]
机构
[1] Case Western Reserve Univ, Frances Payne Bolton Sch Nursing, Cleveland Clin Lerner Res Inst, Cleveland, OH 44106 USA
[2] Queens Univ, Sch Rehabil Therapy, Kingston, ON, Canada
[3] Case Western Reserve Univ, Sch Med, Cleveland, OH 44106 USA
[4] Northwestern Univ, Dept Phys Med & Rehabil, Feinberg Sch Med, Chicago, IL 60611 USA
[5] Rehabil Inst Chicago, Chicago, IL 60611 USA
基金
美国国家卫生研究院;
关键词
multiple sclerosis; social participation; International Classification of Functioning; Disability and Health; self care; regression analysis; QUALITY-OF-LIFE; INTERNATIONAL-CLASSIFICATION; COMMUNITY PARTICIPATION; ENVIRONMENTAL-FACTORS; HEALTH; DISABILITY; EXERCISE; IMPACT; ASSOCIATION; BEHAVIORS;
D O I
10.2340/16501977-1948
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Objective: To explore the associations between impairments, self-management self-efficacy, self-management behaviors, and environmental factors and their role in predicting participation in meaningful activities among people with multiple sclerosis. Design: Online cross-sectional survey. Subjects/patients: Randomly selected individuals (n = 335) from a large multiple sclerosis patient registry. Methods: Participation in activities that are meaningful to the individual was measured with Community Participation Indicators (CPI), the dependent variable. Independent variables included symptom severity, activities of daily living limitations, cognitive problems, stages of change for physical activity, nutritional behaviors, self-efficacy, and environmental barriers. A backwards selection regression analysis was used to compare the relative contributions of independent variables in predicting the CPI. A path analysis was conducted to explore the associations between independent variables and their direct and indirect effects on the CPI. Results: The final regression model included self-management self-efficacy (beta = 0.12), environmental barriers (beta = -0.16), cognitive problems (beta = -0.22), and stages of change for physical activity (beta = 0.12). Path analysis indicated that impairments and environmental barriers might negatively influence self-management self-efficacy. Self-management self-efficacy might have indirect effects on the CPI via engagement in self-management behaviors. Conclusion: Future research should explore whether interventions that promote self-management self-efficacy can facilitate participation in meaningful activities.
引用
收藏
页码:538 / 545
页数:8
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