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Applying the reasoned action approach to understanding health protection and health risk behaviors

Yes / Rationale: The Reasoned Action Approach (RAA) developed out of the Theory of Reasoned Action and Theory of
Planned Behavior but has not yet been widely applied to understanding health behaviors. The present research
employed the RAA in a prospective design to test predictions of intention and action for groups of protection and
risk behaviors separately in the same sample.
Objective: To test the RAA for health protection and risk behaviors.
Method: Measures of RAA components plus past behavior were taken in relation to eight protection and six risk
behaviors in 385 adults. Self-reported behavior was assessed one month later.
Results: Multi-level modelling showed instrumental attitude, experiential attitude, descriptive norms, capacity
and past behavior were significant positive predictors of intentions to engage in protection or risk behaviors.
Injunctive norms were only significant predictors of intention in protection behaviors. Autonomy was a significant
positive predictor of intentions in protection behaviors and a negative predictor in risk behaviors (the
latter relationship became non-significant when controlling for past behavior). Multi-level modelling showed
that intention, capacity, and past behavior were significant positive predictors of action for both protection and
risk behaviors. Experiential attitude and descriptive norm were additional significant positive predictors of risk
behaviors.
Conclusion: The RAA has utility in predicting both protection and risk health behaviors although the power of
predictors may vary across these types of health behavior. / Data collection for this research was funded by a grant from the British Academy to the first three authors.

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/17679
Date20 February 2020
CreatorsConner, M., McEachan, Rosemary, Lawton, R., Gardner, Peter
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeArticle, Accepted manuscript
Rights© 2017 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license, CC-BY-NC-ND

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