Behavioral Determinants of Cardiovascular Diseases Risk Factors: A Qualitative Directed Content Analysis



Sabzmakan L^{1, 3} ; Morowatisharifabad MA^{1, 3} ; Mohammadi E² ; Mazloomymahmoodabad SS^{1, 3} ; Rabiei K⁴ ; Naseri MH⁵ ; Shakibazadeh E⁶ ; Mirzaei M⁷ Show Affiliations
Source: ARYA Atherosclerosis Published:2014

Abstract

Background: The PRECEDE model is a useful tool for planers to assess health problems, the behavioral and environmental causes of the problems, and their determinants. This study aims to understand the experiences of patients and health care providers about the behavioral causes of cardiovascular diseases (CVDs) risk factors and their determinants. Methods: This qualitative study utilized content analysis approach based on the PRECEDE model. The study was conducted for over 6 months in 2012 at the diabetes units of health centers associated with Alborz University of Medical Sciences, which is located in Karaj, Iran. Data were collected using individual semi-structured interviews with 50 patients and 12 health care providers. Data analysis was performed simultaneously with data collection using the content analysis directed method. Results: Stress, unhealthy eating, and physical inactivity were the behaviors, which predict the risk factors for CVD. Most of the patients considered stress as the most important underlying cause of their illness. In this study, 110 of the primary codes were categorized into seven subcategories, including knowledge, attitude, perceived susceptibility, severity, perceived benefits, barriers, and self-efficacy, which were located in the predisposing category of the PRECEDE model. Among these determinants, perceived barriers and self-efficacy for the mentioned behaviors seemed to be of great importance. Conclusion: Identifying behavioral determinants will help the planners design future programs and select the most appropriate methods and applications to address these determinants in order to reduce risky behaviors.