Adolescent physical activity: does implementation intention have a role?

Roberts, Vaughan, Maddison, Ralph, Magnusson, Jane and Prapavessis, Harry 2010, Adolescent physical activity: does implementation intention have a role?, Journal of physical activity and health, vol. 7, no. 4, pp. 497-507, doi: 10.1123/jpah.7.4.497.

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Title Adolescent physical activity: does implementation intention have a role?
Author(s) Roberts, Vaughan
Maddison, RalphORCID iD for Maddison, Ralph
Magnusson, Jane
Prapavessis, Harry
Journal name Journal of physical activity and health
Volume number 7
Issue number 4
Start page 497
End page 507
Total pages 11
Publisher Human Kinetics
Place of publication [Champaign, Ill.]
Publication date 2010-07
ISSN 1543-3080
Keyword(s) Adolescent
Adolescent Behavior
Health Behavior
Leisure Activities
Monitoring, Ambulatory
Oceanic Ancestry Group
Peer Group
Regression Analysis
Self Efficacy
Summary BACKGROUND: The current study tested the utility of an integrated social cognitive model to predict physical activity (PA) intentions and behavior in New Zealand adolescents. METHOD: Seventy-two adolescents (mean age = 16.92, SD = 0.66) completed measures consistent with the integrated model (attitude, subjective norm, perceived behavioral control [PBC], goal intention, task-efficacy, barrier efficacy, and implementation intention). Pedometer data (Yamax SW200 pedometer) were collected for 7 days, and a self-report 7-day recall questionnaire was administered at the end of this week. A series of hierarchical regression analyses were conducted to examine the contribution of the model to PA goal intention, implementation intention, self-reported and objective PA. RESULTS: The integrated model accounted for 41% of goal intention, 33% of implementation intention, and 41% and 18% of subjectively and objectively measured PA, respectively. PBC had the strongest association with goal intention whereas attitude had the strongest association with implementation intention. Task-efficacy made the greatest contribution to objectively measured PA, whereas implementation intention had the strongest association with subjectively measured PA. CONCLUSION: These findings have implications regarding PA measurement in adolescent populations, and suggest that social cognitive variables play an important role in adolescent PA. Recommendations for future research are discussed.
Language eng
DOI 10.1123/jpah.7.4.497
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
1106 Human Movement And Sports Science
1302 Curriculum And Pedagogy
Socio Economic Objective 920499 Public Health (excl. Specific Population Health) not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2010, Human Kinetics
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Document type: Journal Article
Collections: Faculty of Health
School of Exercise and Nutrition Sciences
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