Integrating the theory of planned behavior with the processes and stages of change in the exercise domain

2000 ◽  
Vol 1 (1) ◽  
pp. 41-56 ◽  
Author(s):  
Kerry S Courneya ◽  
Todd M Bobick
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Stages Of Change

Theory of Planned Behavior and Stages of Change Models

2017 ◽  
Author(s):  
Jeffrey J. Martin
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Stages Of Change ◽  
Outcome Expectations ◽  
Future Research ◽  
Change Models ◽  
Efficacy Outcome ◽  
Health Action ◽  
Research Findings ◽  
Action Process

The theory of planned behavior (TPB) and stages of change (SOC) models have been used to predict physical activity (PA) in people with disabilities. The purpose of this chapter is to give an overview of the TPB and SOC models and the research findings stemming from testing them in people with impairments. The health action process approach (HAPA), designed with individuals with disabilities, is also introduced, along with suggested future research using the HAPA. The HAPA is in many ways a meta-theory, as it incorporates many constructs from theories discussed here and in other chapters. For instance, various forms of self-efficacy, outcome expectations, coping, planning, and social support are all included in the HAPA. In addition, the HAPA includes a three-stage model in which people are labeled as pre-intenders, intenders, or actors. Researchers intending to use the SOC theories and the TPB should know that they have come under criticism, and these criticisms are addressed in the chapter.

scholarly journals Integrating the Extended Theory of Planned Behavior With the Stages of Change to Predict Exercise Among Chinese People With Type 2 Diabetes

2021 ◽  
Vol 9 ◽  
Author(s):  
Min Gao ◽  
Ping Chen ◽  
Xinying Sun ◽  
XingLin Feng ◽  
Edwin B. Fisher
Keyword(s):  
Type 2 Diabetes ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Stages Of Change ◽  
Exercise Behavior ◽  
Self Identity ◽  
Extended Theory ◽  
Tpb Model ◽  
Exercise Intention

Background: There have been very limited prospective studies examining social-cognitive models within stages of behavior change in the exercise domain.Purpose: We examined the utility of the theory of planned behavior (TPB), incorporating self-identity and descriptive norm constructs, to predict exercise behavior across the stages of change, in individuals with type 2 diabetes.Methods: Data were obtained from a longitudinal study. Multi-group structural equation modeling was used to estimate the association between extended TPB constructs and exercise within different stages groups.Results: 647 individuals completed a self-report questionnaire at baseline and at 3 months follow-up. The extended TPB model explained 8–15% variance of exercise behavior and 42–81% variance of exercise intention within three stages groups in the cross-sectional design. The extended TPB model explained 4%-13% variance of exercise behavior and 42–66% variance of exercise intention in the longitudinal design. Intention was significantly related to exercise behavior in the pre-action and action stages. Self-identity, perceived behavioral control and descriptive norms were stronger predictors of intention in different stages.Conclusion: Discontinuity patterns in the extended theory of planned behavior for the different stages groups were found. Intention was a significant predictor of exercise in the pre-action and action stages at 3 months.

Using the Theory of Planned Behavior to Predict Faking in Selection Exercises Varying in Fidelity

2018 ◽  
Vol 17 (3) ◽  
pp. 155-160 ◽  
Author(s):  
Daniel Dürr ◽  
Ute-Christine Klehe
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Predictive Validity ◽  
Group Discussion ◽  
Role Play ◽  
Selection Procedure ◽  
High Fidelity ◽  
Selection Research ◽  
Play Group

Abstract. Faking has been a concern in selection research for many years. Many studies have examined faking in questionnaires while far less is known about faking in selection exercises with higher fidelity. This study applies the theory of planned behavior (TPB; Ajzen, 1991 ) to low- (interviews) and high-fidelity (role play, group discussion) exercises, testing whether the TPB predicts reported faking behavior. Data from a mock selection procedure suggests that candidates do report to fake in low- and high-fidelity exercises. Additionally, the TPB showed good predictive validity for faking in a low-fidelity exercise, yet not for faking in high-fidelity exercises.

Using the Theory of Planned Behavior to Explore Pediatric Heart Transplant Recipients’ Dietary Behavior

2018 ◽  
Vol 25 (2) ◽  
pp. 43-52
Author(s):  
Jo Wray ◽  
Claire Orrells ◽  
Helen Latch ◽  
Michael Burch
Keyword(s):  
Theory Of Planned Behavior ◽  
Heart Transplantation ◽  
Planned Behavior ◽  
Vegetable Consumption ◽  
Graft Loss ◽  
Dietary Behaviors ◽  
Food Groups ◽  
Tpb Model ◽  
Eating Fruit ◽  
End Stage

Abstract. Heart transplantation is the treatment of choice for children with end-stage heart disease. Coronary artery vasculopathy is, however, a significant morbidity and leading cause of late graft loss, and hyperlipidemia a risk factor for its development. Improving diet in this population could have important benefits for patients. We wanted to understand what influences decisions about food intake in this patient group. Dietary intentions and behavior were examined using a questionnaire based on the Theory of Planned Behavior (TPB) with 67 children who had undergone heart transplantation at least 12 months previously. The TPB model was significant for both healthy and unhealthy dietary behaviors, explaining 55% and 38% of the variance, respectively. Ten percent of children reported not eating any fruit and/or vegetables in the previous week and only 29% reported eating fruit and/or vegetables every day. The Theory of Planned Behavior provides a framework for explaining some specific dietary behaviors related to individual food groups in children who have undergone heart transplantation. These preliminary data support using this approach to inform the development of interventions to improve fruit and vegetable consumption but the approach may be less useful for explaining and developing interventions to reduce the consumption of unhealthy foods.

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