Hamid Najafipour1, Mostafa Shokoohi2, Gholamreza Yousefzadeh3,4*, Behzad Sarvar Azimzadeh5,Gholamreza Moshtaghi Kashanian1, Mohamad Mehdi Bagheri5 and Ali Mirzazadeh1,6


Physiology Research Center, Kerman University of Medical Sciences, Kerman, Iran

1Physiology Research Center, Institute of Neuropharmacology, KermanUniversity of Medical Sciences, Kerman, Iran.

2Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.

3Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman, Iran.
4Department of Internal Medicine, Kerman University of Medical Sciences,Kerman, Iran.

5Cardiovascular Research Center and Department of Cardiology, Kerman University of Medical Sciences, Kerman, Iran.

6 Global Health Sciences, University of California, San Francisco, CA, USA


Background: Despite the importance of identifying and screening dyslipidemia to prevent coronary artery diseases CAD(Coronary Artery Disease), little information is available on dyslipidemia in our large area. So the present study aimed to assess the management status of lipid abnormalities and its association with other CAD risk factors in an urban population of southeast of Iran.
Methods: This cross-sectional study was a part of the Kerman coronary artery disease risk factor study KERCADRS (Kerman coronary artery disease risk study) as a population-based, epidemiological research among 5900 individuals aged 15 to 75 years who were residents of Kerman city, the largest city in Southeast of Iran. Lipid profile was assessed using enzymatic laboratory methods.
Results: In total, 5558 persons from 5899 participants were assessed in whom 45.1 % were male and 54.9 % female.
Overall 20.9 % had borderline level of cholesterol (200–239 mg/dl) and 8.7 % suffered from hypercholesterolemia (≥240 mg/dl). The prevalence of undiagnosed dyslipidemia (UDL) was 16.8 % and of diagnosed dyslipidemia (DDL) was 13.2 % that both UDL and DDL were more prevalent in women. Also, UDL was more revealed in third and fourth age decades. Advanced age, anxiety, obesity (BMI ≥30 Kg/m2
), and family history of dyslipidemia predicted dyslipidemia in study population.
Conclusion: The overall prevalence of UDL was higher than of DDL, and was significantly influenced by advanced age, anxiety, obesity, and family history of dyslipidemia. The data showed that our health care management system should improve its strategies to reduce the burden of this important CAD risk factor.
Keywords: Dyslipidemia, Prevalence, Coronary artery disease, Prediction, KERCADRS