Document Type : Research articles
Authors
1 MD-PHD, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
2 MD, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3 MSc of Epidemiology, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
4 Pars Advanced And Minimally Invasive Medical Manners Research Center, Pars Hospital, Iran University of Medical Sciences, Tehran, Iran
5 Noor Research Center for Ophthalmic Epidemiology, Noor Eye Hospital, Tehran, Iran
6 PhD student of Epidemiology, Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract
Background: There is some evidence suggesting that Body Mass Index (BMI) may increase plasma lipoprotein levels.
Objectives: This study aimed to evaluate the possible association between BMI and dyslipidemia among the government staff of Kermanshah.
Methods: This descriptive-analytical cross-sectional study was performed on the staff of 13 governmental organizations in Kermanshah (a city located in the west of Iran) in 2012. The staff was recruited using census method. We obtained information of 1496 staff aged 22 - 69 through the standardized stepwise questionnaire for NCDs risk factor surveillance. The staff was then physically examined by trained persons. Finally, their blood samples were obtained.
Results: The prevalence of dyslipidemia was 16.6% in the study group, with the prevalence of 18.2% in men and 7.9% in women. There were also 53% (55.8% in men and 7.9% in women) and 17.8% (17.6% in men and 38.1% in women) prevalence rates for overweight and obesity, respectively. Dyslipidemia was significantly associated with factors such as BMI (P value = 0.004), gender (P value < 0.001), marital status (P value = 0.01), cigarette smoking (P value = 0.008), and hookah smoking (P value = 0.002), but not with passive smoking, age, education level, physical activity, FBS (fast blood sugar), WHR (waist to hip ratio), hypertension, waist size, and hip size.
In the adjusted model, there was a link merely between obesity and dyslipidemia while no statistically significant association was found between dyslipidemia and overweight. Moreover, a non-linear dose-response association was observed between dyslipidemia and BMI.
Conclusions: Since dyslipidemia was significantly prevalent among men, fat people, and smokers, a particular attention is crucial to be paid to these groups.
Keywords
', './data/ircmj/coversheet/cover_en.jpg'))