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Testing social-cognitive theory to explain physical activity change in adolescent girls from low-income communities

Dewar, Deborah L., Plotnikoff, Ronald C., Morgan, Philip J., Okely, Anthony D., Costigan, Sarah A. and Lubans, David R. 2013, Testing social-cognitive theory to explain physical activity change in adolescent girls from low-income communities, Research quarterly for exercise and sport, vol. 84, no. 4, pp. 483-491, doi: 10.1080/02701367.2013.842454.

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Title Testing social-cognitive theory to explain physical activity change in adolescent girls from low-income communities
Author(s) Dewar, Deborah L.
Plotnikoff, Ronald C.
Morgan, Philip J.
Okely, Anthony D.
Costigan, Sarah A.ORCID iD for Costigan, Sarah A. orcid.org/0000-0003-2566-3276
Lubans, David R.
Journal name Research quarterly for exercise and sport
Volume number 84
Issue number 4
Start page 483
End page 491
Total pages 9
Publisher Taylor & Francis
Place of publication Philadelphia, Pa.
Publication date 2013
ISSN 0270-1367
2168-3824
Keyword(s) accelerometer
health behavior
self-efficacy
Accelerometry
Adolescent
Adolescent Behavior
Female
Follow-Up Studies
Health Promotion
Humans
Motor Activity
Obesity
Poverty Areas
Psychological Theory
Summary PURPOSE: The aim of this study was to test the hypothesized structural paths in Bandura's social-cognitive theory (SCT) model on adolescent girls' physical activity following a 12-month physical activity and dietary intervention to prevent obesity.

METHOD: We conducted a 12-month follow-up study of 235 adolescent girls (Mage = 13.2 years, SD = 0.4) from 12 secondary schools located in low-income communities. At baseline, participants completed SCT scales related to physical activity (i.e., self-efficacy, intention, parental support, and outcome expectations). At baseline and 12-month follow-up (postintervention), participants wore accelerometers for 7 days. Structural equation modeling was used to determine if Time 1 measures predicted physical activity at 12-month follow-up after adjusting for baseline activity.

RESULTS: The model explained 28% and 34% of the variance in physical activity and intention, respectively. Model fit indexes indicated the data were a good fit to the model; however, only self-efficacy was associated with physical activity at 12 months. There was no support for intention or outcome expectations as proximal determinants of behavior. Self-efficacy was associated with outcome expectations and parental support; however, only outcome expectations predicted intention.

CONCLUSIONS: Current findings indicate a large proportion of the variance for physical activity and intention remains unexplained and that the proposed pathways in the SCT model were not fully supported. Future model testing may need to consider augmentation or integration of theoretical models, which may include ecological components if we are to advance our understanding of physical activity behavior in this subgroup of the adolescent population.
Language eng
DOI 10.1080/02701367.2013.842454
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
1106 Human Movement And Sports Science
1701 Psychology
1302 Curriculum And Pedagogy
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2013, AAHPERD
Persistent URL http://hdl.handle.net/10536/DRO/DU:30086809

Document type: Journal Article
Collections: Faculty of Health
School of Exercise and Nutrition Sciences
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