Can Short-Range Intentions Predict Physical Activity Participation?

1993 ◽  
Vol 77 (1) ◽  
pp. 115-122 ◽  
Author(s):  
Kerry S. Courneya ◽  
Edward McAuley

This study examined the issue of proximity of intention in the physical activity domain by employing both short-range (2 and 3 days) and longer range (4 weeks) intentions in the prediction of participation in physical activity. Subjects were 42 undergraduate students who completed intention and physical activity assessments every class (Monday, Wednesday, and Friday) for six weeks and also a single assessment four weeks apart. Analysis indicated that short-range intention is a better predictor of physical activity than is the longer range intention; however, even the short-range intention-physical activity correlations were only of modest magnitude. Interpretation of the results focused on the potential nonvolitional nature of physical activity and the possible role of perceived behavioral control and behavioral expectation.

2010 ◽  
Vol 32 (1) ◽  
pp. 84-98 ◽  
Author(s):  
Ryan Rhodes ◽  
Gert-Jan de Bruijn ◽  
Deborah H. Matheson

The purpose of this study was to explore the role of habit in predicting physical activity with the theory of planned behavior (TPB). The study extended previous research by (a) including a measure of temporal intention stability in the regression equation, and (b) unpacking the intention × behavior × habit relationship. Participants were 153 undergraduate students who completed a habit measure and measures of the TPB at Time 1 followed by measures of intention and behavior 2 weeks later. Results using regression analysis demonstrated that habit explained 7% additional variance after accounting for the TPB and temporal stability of intention and its interaction with intention. Follow-up analyses showed considerable asymmetry in the three-way relationship between intention, behavior, and habit, where high habit participants were composed primarily of intenders (i.e., intended to be active >3 times/week at 30 min) who engaged in regular physical activity (70%, n = 28) and low habit participants were inactive nonintenders (i.e., did not intend to be active >3 times/week at 30 min and were subsequently not active; 69%, n = 25). The results support the notion that some properties of physical activity may have an automatic component and that habits may be important to physical activity action control.


2005 ◽  
Vol 27 (4) ◽  
pp. 470-487 ◽  
Author(s):  
Nikos L.D. Chatzisarantis ◽  
Martin S. Hagger

Two persuasive communications were developed to assess the utility of an intervention based on the Theory of Planned Behavior in promoting physical activity attitudes, intentions, and behavior. One persuasive communication targeted modal salient behavioral beliefs (salient belief condition) while the other persuasive communication targeted nonsalient behavioral beliefs (nonsalient belief condition). Results of an intervention study conducted on young people (N = 83, mean age 14.60 yrs, SD = .47) indicated that participants who were presented with the persuasive message targeting modal salient behavioral beliefs reported more positive attitudes (p < .05) and stronger intentions (p = .059) than those presented with the message targeting nonsalient behavioral beliefs. However, neither communication influenced physical activity participation (p > .05). Path analysis also indicated that the effects of the persuasive communication on intentions were mediated by attitudes and not by perceived behavioral control or subjective norms.


2007 ◽  
Vol 29 (1) ◽  
pp. 21-38 ◽  
Author(s):  
Maria Kosma ◽  
Rebecca Ellis ◽  
Bradley J. Cardinal ◽  
Jeremy J. Bauer ◽  
Jeffrey A. McCubbin

The study’s purpose was to identify the mediating role of intention and the stages of change (SOC) in physical activity (PA) over a 6-month period using two models (Theory of Planned Behavior [TPB] and TPB/SOC). Participants were 143 adults with physical disabilities (70.68% response rate; M age = 46.03). The TPB constructs, SOC (time 1), and PA (time 2) were assessed using standardized self-report questionnaires. Based on path analyses, attitude had the highest effect on intention and SOC followed by perceived behavioral control within both well-fit models. The variance in PA explained by the first (TPB) and second (TPB/SOC) models was 16% and 28% respectively. In the just identified model of TPB/SOC, the direct effect of SOC on physical activity remained strong (γsoc.pa = .45) and SOC approached full mediation through attitude. Health promotion interventions need to include both intention and behavior elements (SOC) reinforcing increased PA value and barrier elimination.


2012 ◽  
Vol 27 (6) ◽  
pp. 986-995 ◽  
Author(s):  
J. Huberty ◽  
D. Dinkel ◽  
J. Coleman ◽  
A. Beighle ◽  
B. Apenteng

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