Application of Integrated Behavioral Model to Influence Health Behavior II.
DOI:
https://doi.org/10.15170/MM.2020.54.KSZ.II.06Keywords:
Integrated Behavioral Model, Theory of Reasoned Action, Theory of Planned Behavior, health behaviorAbstract
THE AIMS OF THE PAPER
Several theories can be found in domestic and international literature which try to explain different forms of health behavior. One direction of them are social-cognitive theories that have successfully predicted and explained several behaviors, including various health behaviors. Beside this, they have also served as the basis for numerous successful interventions aiming at behavioral changes. Although the Integrated Behavioral Model (IBM) – which was developed by integrating more social-cognitive behavioral models – proved to be similarly successful in explaining and predicting specific health behaviors, and in serving as a basis for programs aiming at behavioral changes, its application has not been widespread yet, especially in the Hungarian literature. The aim of our two-part series is to provide a literature review of the structure and the application methods of the model, assisting its future applications in domestic empirical research in the field of health (and maybe other types) behaviors.
METHODOLOGY
In our studies, Hungarian and international literature on the origin, structure, and practical applications of the IBM has been revealed and presented by secondary research.
MOST IMPORTANT RESULTS
The current study deals with the practical applications of IBM, while the first part described the theoretical bases and the structure of IBM. Since the model is almost totally missing from the Hungarian literature, the systematic review of related theoretical and empirical experiences can be seen as filling the gap.
RECOMMENDATIONS
The IBM can be applied successfully for health behaviors that the literature has tried to explain by other theories, based on the methodology and the previous examples found in the literature and presented in the current study.
Acknowledgement: This publication was supported by the EFOP-3.6.2-16-2017-00003 project. The project is co-financed by the European Union and the European Social Fund.
