Examining Model Similarity for Exercise Self-Efficacy among Adults Recovering from a Stroke: A Community-Based Exercise Program

Olivia L. Pastore (), François Jarry, Jammy Zou, Jennifer R. Tomasone, Luc J. Martin, Véronique Pagé and Shane N. Sweet
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Olivia L. Pastore: Department of Kinesiology Sciences, McGill University, Montreal, QC H2W 1S4, Canada
François Jarry: Department of Kinesiology Sciences, McGill University, Montreal, QC H2W 1S4, Canada
Jammy Zou: Department of Kinesiology Sciences, McGill University, Montreal, QC H2W 1S4, Canada
Jennifer R. Tomasone: School of Kinesiology and Health Studies, Queen’s University, Kingston, ON K7L 3N6, Canada
Luc J. Martin: School of Kinesiology and Health Studies, Queen’s University, Kingston, ON K7L 3N6, Canada
Véronique Pagé: Viomax Inc., Montreal, QC H2H 1L6, Canada
Shane N. Sweet: Department of Kinesiology Sciences, McGill University, Montreal, QC H2W 1S4, Canada

Disabilities, 2024, vol. 4, issue 1, 1-14

Abstract: We used a single-case experimental research design to examine the effect of modelling (peer versus non-peer) on exercise self-efficacy in stroke survivors who participated in a community-based exercise program. Data were obtained using an ABCA design: (A 1 ) no model/baseline 1 (3 weeks); (B) peer model (6 weeks); (C) non-peer model (6 weeks); and (A 2 ) no model/baseline 2 (3 weeks). Four participants completed self-efficacy questionnaires after each weekly session. Overall, participants reported higher exercise self-efficacy in the model conditions (Cohen’s d range from −0.37 to 4.22), with ratings appearing highest for the non-peer model. Modelling in general may help stroke survivors increase their exercise self-efficacy. Lastly, we provide our reflections on the pragmatics of completing a study within a community setting.

Keywords: modelling; peers; single-case design; self-efficacy; stroke (search for similar items in EconPapers)
JEL-codes: I (search for similar items in EconPapers)
Date: 2024
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