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Testing the Physical Activity Self-Definition Model among low-active adults participating in a physical activity intervention
Institution:1. School of Kinesiology and Health Studies, Queen’s University, Kingston, Ontario, Canada;2. Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, Manitoba, Canada;3. Institute of Cardiovascular Sciences, St. Boniface General Hospital Albrechtsen Research Centre, Winnipeg, Manitoba, Canada;4. Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada;5. Department of Kinesiology and Physical Education, McGill University, Montréal, Québec, Canada;6. School of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA;1. Cricket Australia, National Cricket Centre, Brisbane, Qld, Australia;2. Queensland University of Technology, Brisbane, Qld, Australia;3. University of Canberra, Canberra, ACT, Australia;4. Faculty of Science Health and Education, University of the Sunshine Coast, Sippy Downs, Qld, Australia;1. University of Konstanz, Germany;2. Humboldt University of Berlin, Germany;3. University of Trier, Germany;1. Université des Antilles, Laboratoire “Adaptation Au Climat Tropical, Exercice & Santé”, Faculté des Sciences Du Sport de Pointe-à-Pitre, France;2. Université de Poitiers, Université de Tours, Centre National de La Recherche Scientifique, Centre de Recherches sur La Cognition et L’Apprentissage (UMR 7295), Poitiers, France;1. Department of Psychology, University of Portsmouth, PO1 2DT, UK;2. School of Sport, Health and Exercise Science, University of Portsmouth, PO1 2DT, UK
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 (Q2 = 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 (R2 = 0.62 0.48, 0.72]) and PASD (R2 = 0.74 0.64, 0.80]; all p’s < 0.001), respectively. The revised model had medium predictive power (Q2 = 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.
Keywords:Physical activity  Exercise  Identity  Schema  Self-definition  Partial least squares-structural equation modeling  AVE"}  {"#name":"keyword"  "$":{"id":"kwrd9876"}  "$$":[{"#name":"text"  "_":"average variance extracted  BIC"}  {"#name":"keyword"  "$":{"id":"kwrd9876a"}  "$$":[{"#name":"text"  "_":"Bayesian information criterion  CI"}  {"#name":"keyword"  "$":{"id":"kwrd0045"}  "$$":[{"#name":"text"  "_":"confidence interval  ENCOURAGE"}  {"#name":"keyword"  "$":{"id":"kwrd0055"}  "$$":[{"#name":"text"  "$$":[{"#name":"underline"  "_":"EN"}  {"#name":"__text__"  "_":"hancing Primary Care "}  {"#name":"underline"  "_":"COU"}  {"#name":"__text__"  "_":"nseling and "}  {"#name":"underline"  "_":"R"}  {"#name":"__text__"  "_":"eferrals to Community-Based Physical "}  {"#name":"underline"  "_":"A"}  {"#name":"__text__"  "_":"ctivity Opportunities for Sustained Lifestyle Chan"}  {"#name":"underline"  "_":"GE  HTMT"}  {"#name":"keyword"  "$":{"id":"kwrd9876t"}  "$$":[{"#name":"text"  "_":"heterotrait-monotrait  MAE"}  {"#name":"keyword"  "$":{"id":"kwrd9876as"}  "$$":[{"#name":"text"  "_":"mean absolute error  PACES"}  {"#name":"keyword"  "$":{"id":"kwrd9876cc"}  "$$":[{"#name":"text"  "_":"physical activity enjoyment scale  PASD"}  {"#name":"keyword"  "$":{"id":"kwrd0065"}  "$$":[{"#name":"text"  "_":"physical activity self-definition  PLS-SEM"}  {"#name":"keyword"  "$":{"id":"kwrd98708"}  "$$":[{"#name":"text"  "_":"partial least squares-structural equation modeling  RMSE"}  {"#name":"keyword"  "$":{"id":"kwrd0075"}  "$$":[{"#name":"text"  "_":"root mean squared error  SRMR"}  {"#name":"keyword"  "$":{"id":"kwrd0065s"}  "$$":[{"#name":"text"  "_":"standardized root mean square residual  VIF"}  {"#name":"keyword"  "$":{"id":"kwrd0065a"}  "$$":[{"#name":"text"  "_":"variance inflation factor
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