Najafipour Hamid, Shokoohi Mostafa, Yousefzadeh Gholamreza, Sarvar Azimzadeh Behzad, Moshtaghi Kashanian Gholamreza, Bagheri Mohamad Mehdi, Mirzazadeh Ali
Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
J Diabetes Metab Disord. 2016 Oct 21;15:49. doi: 10.1186/s40200-016-0268-0. eCollection 2016.
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.
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.
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/m), and family history of dyslipidemia predicted dyslipidemia in study population.
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.
尽管识别和筛查血脂异常对于预防冠状动脉疾病（CAD）至关重要，但在我们这个大面积地区，关于血脂异常的信息却很少。因此，本研究旨在评估伊朗东南部城市人群中血脂异常的管理状况及其与其他CAD危险因素的关联。
这项横断面研究是克尔曼冠状动脉疾病危险因素研究（KERCADRS）的一部分，KERCADRS是一项基于人群的流行病学研究，对象为5900名年龄在15至75岁的克尔曼市居民，克尔曼市是伊朗东南部最大的城市。采用酶法实验室方法评估血脂谱。
在5899名参与者中，共评估了5558人，其中男性占45.1%，女性占54.9%。总体而言，20.9%的人胆固醇水平处于临界值（200 - 239mg/dl），8.7%的人患有高胆固醇血症（≥240mg/dl）。未诊断出的血脂异常（UDL）患病率为16.8%，已诊断出的血脂异常（DDL）患病率为13.2%，UDL和DDL在女性中更为普遍。此外，UDL在第三和第四个十年年龄段中更为明显。高龄、焦虑、肥胖（BMI≥30 Kg/m²）和血脂异常家族史是研究人群中血脂异常的预测因素。
UDL的总体患病率高于DDL，并且受到高龄、焦虑、肥胖和血脂异常家族史的显著影响。数据表明，我们的医疗保健管理系统应改进其策略，以减轻这一重要CAD危险因素的负担。
