The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
The predictive capacity of the theory of reasoned action and the theory of planned behavior in exercise research: An integrated literature review
Open accessAbstract
Although the association between habitual exercise and health benefits has been well documented, physical activity levels in the United States are lower than is necessary to reach the nation's health potential. Beliefs that people hold can be a motivating factor in engaging in exercise. A critical review of the literature was conducted to assess the efficacy of using the Theory of Reasoned Action and the Theory of Planned Behavior with respect to exercise. Evidence for the predictive utility of the theories was found. The Theory of Planned Behavior is a more promising framework for the study of exercise because it includes beliefs about control of factors that would facilitate or inhibit carrying out exercise. Strategies for use of the theories in planning exercise programs are provided and suggestions for future research discussed. ©1995 John Wiley & Sons, Inc.
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Cited by
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970
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Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research.
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Can the Theory of Planned Behavior Predict the Maintenance of Physical Activity?
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Metadata
- Authors
- Blue, C. L.
- Venue
- Research in Nursing & Health
- Publisher
- Wiley
- Published
- 1995-04
- Volume
- 18
- Issue
- 2
- Pages
- 105-121
- ISSN
- 0160-6891 (ISSN-L)
- 1098-240X
- OpenAlex
- W2050801873
- Cited by
- 262
- References
- 73
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- green
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- Blue, C. L. (1995). The predictive capacity of the theory of reasoned action and the theory of planned behavior in exercise research: An integrated literature review. Research in Nursing & Health. https://doi.org/10.1002/nur.4770180205
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.