Author/Authors :
Sabzmakan، Leila نويسنده PhD Candidate, Department of Health Education, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , , Morowatisharifabad، Mohammad Ali نويسنده Department of Health, Yazd Shahid Sadoughi University of Medical Sciences , , Mohammadi، Eesa نويسنده Tarbiat Modarres University of Medical Sciences, Tehran , , Mazloomy-Mahmoodabad، Seid Saied نويسنده Professor, Department of Health Education, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , , Rabiei، Katayoun نويسنده Rehabilitation Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran , , Naseri، Mohammad-Hassan نويسنده , , Shakibazadeh، Elham نويسنده Department of Midwifery, School of Nursing and Midwifery, Zanjan University of Medical Sciences, Zanjan , , Mirzaei، Masoud نويسنده Department of Chemistry, Ferdowsi University of Mashhad, P.O. Box 91779-1436 Mashhad, I.R. IRAN ,
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.
