Disentangling motivation, intention, and planning in the physical activity domain

Rhodes, Ryan E.; Blanchard, Chris M.; Matheson, Deborah Hunt; Coble, James

doi:10.1016/j.psychsport.2005.08.011

Cited by 80 publications

(59 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intention was assessed by items recommended by Courneya (1994) and Rhodes and colleagues (Rhodes, Blanchard, Matheson, & Coble, 2006). The items were (1) "I intend to engage in regular physical activity ____ times per week over the next 2 weeks" (open scaled), (2) "I am motivated to engage in regular physical activity over the next 2 weeks" (from 1 [completely unmotivated] to 7 [completely motivated]), and (3) "I am determined to engage in regular physical activity over the next 2 weeks" (from 1 [completely undetermined] to 7 [completely determined]).…”

Section: Instrumentsmentioning

confidence: 99%

Habit in the Physical Activity Domain: Integration With Intention Temporal Stability and Action Control

Rhodes

Bruijn

Matheson

2010

Journal of Sport and Exercise Psychology

View full text Add to dashboard Cite

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.

show abstract

Section: Instrumentsmentioning

confidence: 99%

Habit in the Physical Activity Domain: Integration With Intention Temporal Stability and Action Control

Rhodes

Bruijn

Matheson

2010

Journal of Sport and Exercise Psychology

View full text Add to dashboard Cite

show abstract

“…Specifically, items measuring attitude and PBC components were adapted from Hagger and Chatzisarantis (2005) and Rhodes and Courneya (2003a), whereas items measuring subjective norm components were taken from . Measurements of exercise intention were derived from Hagger and Chatzisarantis (2005) and Rhodes, Blanchard, Matheson and Coble (2006). Items assessing perceived need were adapted from Payne, Jones and Harris (2004).…”

Section: Instrument Development and Pre-testmentioning

confidence: 99%

An Extended Model of Theory of Planned Behaviour in Predicting Exercise Intention

Fen¹,

Sabaruddin²

2009

IBR

View full text Add to dashboard Cite

The main purpose of the present study was to propose and test an extended model with the addition of perceived need in predicting exercise participation, drawing upon the theory of planned behaviour. Cross-sectional data was collected via self-administered surveys from general adults sample (n = 217). The instrument was first validated using exploratory and confirmatory factor analysis to test for unidimensionality, convergent and discriminant validity. Model and hypotheses testing were performed using structural equation modelling (SEM). The extended model accounted for a substantial portion of the variance in exercise intention (R 2 = 0.798). Specific findings revealed that: (1) all predictors were significantly correlated with exercise intention; (2) attitude components, perceived control, and perceived need predicted exercise intention; (3) instrumental attitude emerged as the strongest predictor of intention. This study has important implications for marketing practitioners, consumer researchers, and public policy makers interested in the determinants of exercise participation.

show abstract

“…This finding has been supported by observational studies with follow-up periods of up to 6 months among student and clinical populations. These studies have shown that affective attitude (the extent to which performing the behavior is enjoyable) is a stronger predictor of intention to perform or increase physical activity, than instrumental attitude (the extent to which performing the behavior is perceived to be beneficial) [25]- [27]. Literature review results [28] indicated that motivational and self-management strategies could likely improve rehabilitation uptake and lifestyle change in patients with heart disease.…”

Section: Discussionmentioning

confidence: 99%

Adherence in CABG Patients: An Empirical Test of a Health Behavior Model

Zarani¹,

Sarami²,

Sadeghian³

2014

IJCM

View full text Add to dashboard Cite

To benefit from a Coronary Artery Bypass Graft Surgery (CABG), patients must adhere to their therapeutic regimen. To test the extent of which the Information-Motivation-Behavioral Skills (IMB) model constructs explain the variability in adherence behaviors in CABG patients, and also to examine the relationship between the IMB model constructs, CABG patients (N = 152) were randomly assigned to either an intervention group, or a standard care control group. They completed pretest measures, and were reassessed later. Although perfect replication of the IMB model's predicted pathways was not achieved in this study, support for several of these pathways was demonstrated. The estimated model for adherence-demonstrated good fit of the data. Motivation was a significant predictor of adherence behavior in CABG patients. These findings suggest that IMB model-based intervention that improves motivation can enhance adherence. Therefore, CABG patients' education programs should mainly target motivation in order to affect adherence behavior.

show abstract

Disentangling motivation, intention, and planning in the physical activity domain

Cited by 80 publications

References 40 publications

Habit in the Physical Activity Domain: Integration With Intention Temporal Stability and Action Control

Habit in the Physical Activity Domain: Integration With Intention Temporal Stability and Action Control

An Extended Model of Theory of Planned Behaviour in Predicting Exercise Intention

Adherence in CABG Patients: An Empirical Test of a Health Behavior Model

Contact Info

Product

Resources

About