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Meta-Analysis of the Reasoned Action Approach (RAA) to Understanding Health Behaviors

BACKGROUND: Reasoned action approach (RAA) includes subcomponents of attitude (experiential/instrumental), perceived norm (injunctive/descriptive), and perceived behavioral control (capacity/autonomy) to predict intention and behavior. PURPOSE: To provide a meta-analysis of the RAA for health behavi...

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Detalles Bibliográficos
Autores principales: McEachan, Rosemary, Taylor, Natalie, Harrison, Reema, Lawton, Rebecca, Gardner, Peter, Conner, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933736/
https://www.ncbi.nlm.nih.gov/pubmed/27169555
http://dx.doi.org/10.1007/s12160-016-9798-4
Descripción
Sumario:BACKGROUND: Reasoned action approach (RAA) includes subcomponents of attitude (experiential/instrumental), perceived norm (injunctive/descriptive), and perceived behavioral control (capacity/autonomy) to predict intention and behavior. PURPOSE: To provide a meta-analysis of the RAA for health behaviors focusing on comparing the pairs of RAA subcomponents and differences between health protection and health-risk behaviors. METHODS: The present research reports a meta-analysis of correlational tests of RAA subcomponents, examination of moderators, and combined effects of subcomponents on intention and behavior. Regressions were used to predict intention and behavior based on data from studies measuring all variables. RESULTS: Capacity and experiential attitude had large, and other constructs had small-medium-sized correlations with intention; all constructs except autonomy were significant independent predictors of intention in regressions. Intention, capacity, and experiential attitude had medium-large, and other constructs had small-medium-sized correlations with behavior; intention, capacity, experiential attitude, and descriptive norm were significant independent predictors of behavior in regressions. CONCLUSIONS: The RAA subcomponents have utility in predicting and understanding health behaviors.