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Predictors of Leisure Time Physical Activity Among People with Spinal Cord Injury
Authors:Kathleen A. Martin Ginis Ph.D.  Kelly P. Arbour-Nicitopoulos Ph.D.  Amy E. Latimer-Cheung Ph.D.  Andrea C. Buchholz Ph.D.  Steven R. Bray Ph.D.  B. Catharine Craven M.D.  Keith C. Hayes Ph.D.  Mary Ann McColl Ph.D.  Patrick J. Potter M.D.  Karen Smith M.D.  Dalton L. Wolfe Ph.D.  Richard Goy M.A.  Julie Horrocks Ph.D.
Affiliation:1. Department of Kinesiology, Centre for Health Promotion and Rehabilitation, McMaster University, Hamilton, ON, Canada, L8S 4K1
2. School of Kinesiology and Health Studies, Queen??s University, Kingston, ON, Canada
3. Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON, Canada
4. Department of Medicine, Toronto Rehabilitation Institute, University of Toronto, Toronto, ON, Canada
5. Department of Physical Medicine and Rehabilitation, University of Western Ontario, London, ON, Canada
6. Centre for Health Services and Policy Research, Queen??s University, Kingston, ON, Canada
7. Department of Physical Medicine and Rehabilitation, Providence Care, Queen??s University, Kingston, ON, Canada
8. Department of Mathematics and Statistics, University of Guelph, Guelph, ON, Canada
Abstract:

Background

Most studies of physical activity predictors in people with disability have lacked a guiding theoretical framework. Identifying theory-based predictors is important for developing activity-enhancing strategies.

Purpose

To use the World Health Organization??s International Classification of Functioning, Disability and Health (ICF) framework to identify predictors of leisure time physical activity among people with spinal cord injury (SCI).

Methods

Six hundred ninety-five persons with SCI (M age?=?47; 76% male) completed measures of Body Functions and Structures, Activities and Participation, Personal Factors, and Environmental Factors at baseline and 6-months. Activity was measured at 6 and 18?months. Logistic and linear regression models were computed to prospectively examine predictors of activity status and activity minutes per day.

Results

Models explained 19%?C25% of variance in leisure time physical activity. Activities and Participation and Personal Factors were the strongest, most consistent predictors.

Conclusions

The ICF framework shows promise for identifying and conceptualizing predictors of leisure time physical activity in persons with disability.
Keywords:
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