Predicting Adolescents' Physical Activity Intentions: Testing an Integrated Social Cognition Model.

Exercise behavior Habit theory Health behavior determinants Theory integration Theory of planned behavior

Journal

International journal of behavioral medicine
ISSN: 1532-7558
Titre abrégé: Int J Behav Med
Pays: England
ID NLM: 9421097

Informations de publication

Date de publication:
22 Mar 2023
Historique:
accepted: 13 01 2023
entrez: 23 3 2023
pubmed: 24 3 2023
medline: 24 3 2023
Statut: aheadofprint

Résumé

Few adolescents meet guideline levels of physical activity associated with good health, highlighting the need for intervention. Interventions promoting adolescents' physical activity should be guided by research applying behavioral theory to identify potentially modifiable correlates and associated processes. We applied an integrated social cognition model to identify theory-based constructs and processes that relate to physical activity intentions in a secondary analysis of two samples of Finnish adolescents using a correlational design. Participants in the first sample (n = 455) completed self-report measures of social cognition constructs from theory of planned behavior, habit, self-discipline, and past and current physical activities. Participants in the second sample (n = 3878) completed identical measures plus measures of socio-structural and socio-environmental factors. Participants from the first sample also wore accelerometers for 1 week. Hypothesized model effects were tested using variance-based structural equation modeling in data from the first sample and subsequently confirmed in a pre-registered analysis of data from the second sample. Across both samples, habit, attitude, perceived behavioral control, and self-reported past behavior were associated with physical activity intention. Effects of self-reported past physical activity on intention were partially mediated by social cognition constructs. Effects of accelerometer-based physical activity were small by comparison. Effects of socio-structural and socio-environmental factors on intention in the second sample were partially mediated by the social cognition constructs. Results corroborate beliefs and habit as consistent correlates of adolescents' physical activity intentions and provide preliminary evidence that social cognition constructs account for effects of socio-structural and socio-environmental factors on intentions.

Sections du résumé

BACKGROUND BACKGROUND
Few adolescents meet guideline levels of physical activity associated with good health, highlighting the need for intervention. Interventions promoting adolescents' physical activity should be guided by research applying behavioral theory to identify potentially modifiable correlates and associated processes. We applied an integrated social cognition model to identify theory-based constructs and processes that relate to physical activity intentions in a secondary analysis of two samples of Finnish adolescents using a correlational design.
METHOD METHODS
Participants in the first sample (n = 455) completed self-report measures of social cognition constructs from theory of planned behavior, habit, self-discipline, and past and current physical activities. Participants in the second sample (n = 3878) completed identical measures plus measures of socio-structural and socio-environmental factors. Participants from the first sample also wore accelerometers for 1 week. Hypothesized model effects were tested using variance-based structural equation modeling in data from the first sample and subsequently confirmed in a pre-registered analysis of data from the second sample.
RESULTS RESULTS
Across both samples, habit, attitude, perceived behavioral control, and self-reported past behavior were associated with physical activity intention. Effects of self-reported past physical activity on intention were partially mediated by social cognition constructs. Effects of accelerometer-based physical activity were small by comparison. Effects of socio-structural and socio-environmental factors on intention in the second sample were partially mediated by the social cognition constructs.
CONCLUSION CONCLUSIONS
Results corroborate beliefs and habit as consistent correlates of adolescents' physical activity intentions and provide preliminary evidence that social cognition constructs account for effects of socio-structural and socio-environmental factors on intentions.

Identifiants

pubmed: 36949326
doi: 10.1007/s12529-023-10156-3
pii: 10.1007/s12529-023-10156-3
pmc: PMC10032623
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s).

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Auteurs

Jessica Balla (J)

Department of Psychological Sciences, University of California, Merced, USA.

Juho Polet (J)

Faculty of Sport and Health Sciences, University of Jyväskylä, Seminaarinkatu 15, 40014, Jyväskylän Yliopisto, Finland.
Department of Psychology, University of Jyväskylä, Jyväskylän Yliopisto, Finland.
Centre of Excellence in Learning Dynamics and Intervention Research (InterLearn), Faculty of Education and Psychology, University of Jyväskylä, Jyväskylä, Finland.

Sami Kokko (S)

Faculty of Sport and Health Sciences, University of Jyväskylä, Seminaarinkatu 15, 40014, Jyväskylän Yliopisto, Finland.

Mirja Hirvensalo (M)

Faculty of Sport and Health Sciences, University of Jyväskylä, Seminaarinkatu 15, 40014, Jyväskylän Yliopisto, Finland.

Tommi Vasankari (T)

UKK Institute for Health Promotion Research, Tampere, Finland.
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Taru Lintunen (T)

Faculty of Sport and Health Sciences, University of Jyväskylä, Seminaarinkatu 15, 40014, Jyväskylän Yliopisto, Finland.

Martin S Hagger (MS)

Department of Psychological Sciences, University of California, Merced, USA. martin.s.hagger@jyu.fi.
Faculty of Sport and Health Sciences, University of Jyväskylä, Seminaarinkatu 15, 40014, Jyväskylän Yliopisto, Finland. martin.s.hagger@jyu.fi.
School of Applied Psychology, Griffith University, Brisbane, Australia. martin.s.hagger@jyu.fi.

Classifications MeSH