Self-regulation of Exercise Behavior in the TIGER Study
- PDF / 278,599 Bytes
- 12 Pages / 595.276 x 790.866 pts Page_size
- 33 Downloads / 172 Views
ORIGINAL ARTICLE
Self-regulation of Exercise Behavior in the TIGER Study Rod K. Dishman, Ph.D. & Andrew S. Jackson, H.S.D. & Molly S. Bray, Ph.D.
# The Society of Behavioral Medicine 2013
Abstract Objective This study aimed to test experiential and behavioral processes of change as mediators of the prediction of exercise behavior by two self-regulation traits, self-efficacy and selfmotivation, while controlling for exercise enjoyment. Methods Structural equation modeling was applied to questionnaire responses obtained from a diverse sample of participants. Objective measures defined adherence (928 of 1,279 participants attended 80 % or more of sessions) and compliance (867 of 1,145 participants exercised 30 min or more each session at their prescribed heart rate). Results Prediction of attendance by self-efficacy (inversely) and self-motivation was direct and also indirect, mediated through positive relations with the typical use of behavioral change processes. Enjoyment and self-efficacy (inversely) predicted compliance with the exercise prescription. Conclusions The results support the usefulness of selfregulatory behavioral processes of the transtheoretical model for predicting exercise adherence, but not compliance, extending the supportive evidence for self-regulation beyond selfreports of physical activity used in prior observational studies.
Keywords African-American . Hispanic . Heart rate monitoring . Mediators . Processes of change . Self-efficacy . Self-motivation . Structural equation modeling
R. K. Dishman (*) Department of Kinesiology, The University of Georgia, Ramsey Student Center, 330 River Road, Athens, GA 30602-6554, USA e-mail: [email protected] A. S. Jackson University of Houston, Houston, TX, USA M. S. Bray University of Texas-Austin, Austin, TX, USA
Physical activity among US adults is below levels recommended for health promotion [1–3] and is a target of public health intervention [4–6]. Although more than half of US adults say they are active enough to accumulate the amount of physical activity recommended for health [7], less than 10 % meet that level when their physical activity is measured objectively by an accelerometer [7, 8]. A 2-year populationbased study found that 30 % of adults who were sufficiently active in vigorous physical activities failed to maintain that level for 6 months [9]. Early clinical trials of exercise typically reported that nearly half the participants dropped out before potentially healthful adaptations could be measured [10, 11]. Since then, efficacy trials of exercise commonly report adherence (i.e., attendance) rates of 75–85 % of the sessions in trials lasting 6 to 24 months, but they rarely report whether participants who attend also comply with the prescribed intensities and durations of exercise, despite early recommendations that this be done [12] and recent evidence that such compliance predicts health outcomes better than attendance alone [13]. Advances in understanding how to design effective interventions that produce sustainable increases in p
Data Loading...
