Title of article :
Transition in public knowledge of risk factors of cardiovascular disease in an Iranian general population: A latent transition analysis (LTA) on a longitudinal large community-based educational prevention program
Author/Authors :
Rafiee Alhossaini, Mahsa Department of Biostatistics - School of Medical Sciences - Tarbiat Modares University, Tehran , Hassanzadeh, Akbar Department of Biostatistics and Epidemiology - School of Health - Isfahan University of Medical Sciences, Isfahan , Feizi, Awat Department of Biostatistics and Epidemiology and Cardiac Rehabilitation Research Center - Cardiovascular Research Institute - Isfahan University of Medical Sciences, Isfahan , Sarrafzadegan, Nizal Isfahan University of Medical Sciences, Isfahan
Abstract :
BACKGROUND: Cardiovascular diseases (CVD) are the second leading cause of death, after
accidents, in Iran. This study was performed to assess the change in levels of knowledge about 8 risk
factors of CVD and its associated determinants the Iranian general population.
METHODS: The current repeated cross-sectional study included 3014 people in 2004, 3012 in
2005, and 4719 in 2007, aged older than 19 years. Knowledge about 8 risk factors (high blood
pressure, nutrition, physical inactivity, smoking, diabetes, heredity, stress, and obesity) as the
major causes of CVD was evaluated using latent transition analysis (LTA).
RESULTS: The most widely known CVD risk factors were nutrition and physical inactivity followed
by stress. In addition, old age, low level of education, male gender and low socioeconomic status
(SES) level were the significant determinants of low knowledge levels of CVD risk factors. Besides,
individuals’ knowledge of CVD risk factors increased across the time.
CONCLUSION: Public knowledge of CVD risk factors has increased; however significant gaps
continue to exist, particularly among the elderly, less-educated people, people in low
socioeconomic status level and men. Future intensified educational efforts by policymakers are
necessary for improving knowledge of CVD, particularly among high-risk groups.
Keywords :
Cardiovascular Disease , Risk Factors , Prevention , Knowledge , Latent Transition Analysis
Journal title :
Astroparticle Physics