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- Title
Predicting planned physical activity of individuals with arthritis: A self-regulatory perspective.
- Authors
Flora, Parminder K.; Brawley, Lawrence R.; Sessford, James D.; Cary, Miranda A.; Gyurcsik, Nancy C.
- Abstract
Few individuals with arthritis are sufficiently active. We surveyed a convenience sample of exercisers (N = 134) to examine the utility of social cognitive theory variables, namely, self-regulatory efficacy, negative outcome expectations, and pain acceptance for predicting planned physical activity according to Weinstein’s two prediction suggestions. Logistic regression revealed, after controlling for pain intensity, self-regulatory efficacy, negative outcome expectations, and pain acceptance distinguished groups achieving/not achieving planned physical activity, p < 0.001 (28% variance). A second model adding past physical activity also predicted the groups, p < 0.001 (57% variance). This is one of the first arthritis studies examining planned physical activity relative to Weinstein’s recommendations.
- Subjects
ARTHRITIS; PROBABILITY theory; STATISTICAL sampling; SELF-efficacy; SELF-management (Psychology); SURVEYS; MATHEMATICAL variables; LOGISTIC regression analysis; SOCIAL learning theory; PAIN measurement; PHYSICAL activity
- Publication
Journal of Health Psychology, 2016, Vol 21, Issue 11, p2684
- ISSN
1359-1053
- Publication type
Article
- DOI
10.1177/1359105315583370