Testing the Physical Activity Self-Definition Model among low-active adults participating in a physical activity intervention. (November 2021)
- Record Type:
- Journal Article
- Title:
- Testing the Physical Activity Self-Definition Model among low-active adults participating in a physical activity intervention. (November 2021)
- Main Title:
- Testing the Physical Activity Self-Definition Model among low-active adults participating in a physical activity intervention
- Authors:
- Morgan, Tamara L.
Semenchuk, Brittany N.
Duhamel, Todd A.
Blanchard, Chris
Sweet, Shane N.
Kent, David
Meade, Laura
Whaley, Diane
Strachan, Shaelyn M. - Abstract:
- Abstract: Seeing oneself as a physically active person is one of the strongest predictors of physical activity behaviour and self-regulatory strategies. Determining whether and how physical activity self-perceptions can be stimulated may help low-active individuals who do not see themselves as a physically active person become more active. Cross-sectional research has tested the Physical Activity Self-Definition (PASD) model among active samples; longitudinal studies among low-active adults have yet to be done. The purpose of this study was to test the predictive power of the PASD model among low-active adults over a 16-week physical activity intervention. Participants completed surveys of validated questionnaires in-person at baseline (pre-intervention) and at 16-weeks (end of intervention) at one of two primary care facilities. The final sample included 119 low-active adults. Partial least squares-structural equation modeling indicated that the original model had small-medium predictive power ( Q 2 = 0.22; SRMR = 0.13 [0.05, 0.07]; RMSE = 1.13; MAE = 0.9; BIC = 1348.40). Two paths were added in the revised model (perceived wanting—PASD; perceived ability—perceived commitment), which explained an additional 4% and 5% of the variance in perceived commitment ( R 2 = 0.62 [0.48, 0.72]) and PASD ( R 2 = 0.74 [0.64, 0.80]; all p 's < 0.001), respectively. The revised model had medium predictive power ( Q 2 = 0.25; SRMR = 0.11 [0.05, 0.06]; RMSE = 1.1; MAE = 0.87;Abstract: Seeing oneself as a physically active person is one of the strongest predictors of physical activity behaviour and self-regulatory strategies. Determining whether and how physical activity self-perceptions can be stimulated may help low-active individuals who do not see themselves as a physically active person become more active. Cross-sectional research has tested the Physical Activity Self-Definition (PASD) model among active samples; longitudinal studies among low-active adults have yet to be done. The purpose of this study was to test the predictive power of the PASD model among low-active adults over a 16-week physical activity intervention. Participants completed surveys of validated questionnaires in-person at baseline (pre-intervention) and at 16-weeks (end of intervention) at one of two primary care facilities. The final sample included 119 low-active adults. Partial least squares-structural equation modeling indicated that the original model had small-medium predictive power ( Q 2 = 0.22; SRMR = 0.13 [0.05, 0.07]; RMSE = 1.13; MAE = 0.9; BIC = 1348.40). Two paths were added in the revised model (perceived wanting—PASD; perceived ability—perceived commitment), which explained an additional 4% and 5% of the variance in perceived commitment ( R 2 = 0.62 [0.48, 0.72]) and PASD ( R 2 = 0.74 [0.64, 0.80]; all p 's < 0.001), respectively. The revised model had medium predictive power ( Q 2 = 0.25; SRMR = 0.11 [0.05, 0.06]; RMSE = 1.1; MAE = 0.87; BIC = 1332.84) All path coefficients remained positive and significant at p ≤ .001. Among low-active adults, perceived wanting and perceived ability may be more salient when engaging in physical activity and regarding themselves as a physically active person. Findings may support practitioners and health care professionals in designing physical activity interventions to foster PASD among low-active adult populations. Highlights: The Physical Activity Self-Definition model was examined among low-active adults. Adding two pathways improved the model's predictive power in our sample. Valuing physical activity may help low-active adults view themselves as active. Feeling skilled at physical activity may help low-active adults feel committed. … (more)
- Is Part Of:
- Psychology of sport and exercise. Volume 57(2021)
- Journal:
- Psychology of sport and exercise
- Issue:
- Volume 57(2021)
- Issue Display:
- Volume 57, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 57
- Issue:
- 2021
- Issue Sort Value:
- 2021-0057-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11
- Subjects:
- Physical activity -- Exercise -- Identity -- Schema -- Self-definition -- Partial least squares-structural equation modeling
AVE average variance extracted -- BIC Bayesian information criterion -- CI confidence interval -- ENCOURAGE ENhancing Primary Care COUnseling and Referrals to Community-Based Physical Activity Opportunities for Sustained Lifestyle ChanGE -- HTMT heterotrait-monotrait -- MAE mean absolute error -- PACES physical activity enjoyment scale -- PASD physical activity self-definition -- PLS-SEM partial least squares-structural equation modeling -- RMSE root mean squared error -- SRMR standardized root mean square residual -- VIF variance inflation factor
Sports -- Psychological aspects -- Periodicals
Exercise -- Psychological aspects -- Periodicals
Psychology -- Periodicals
Sports -- Periodicals
Exercise -- Periodicals
Societies, Medical -- Periodicals
Psychology
Sports
Exercise
Societies, Medical
Sports -- Aspect psychologique -- Périodiques
Exercice -- Aspect psychologique -- Périodiques
613.71019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14690292 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.psychsport.2021.102052 ↗
- Languages:
- English
- ISSNs:
- 1469-0292
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 6946.536590
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