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目的了解安徽省成年人血脂异常流行水平,为制定血脂异常防治卫生政策提供依据。方法利用2013年中国成年人慢性病及其危险因素监测项目中安徽省的调查数据,采用多阶段整群随机抽样方法,以面对面询问方式收集调查对象的相关信息,采集空腹静脉血,测定血清总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)和高密度脂蛋白胆固醇(HDL-C),并使用事后分层权重调整和复杂抽样设计方法进行统计分析。结果有效样本量为7120人,成年人血脂异常患病率为29.56%,其中男性为34.91%,女性为24.26%,男性血脂异常率随年龄增加而降低(χ2=13.907,P=0.000),女性则随年龄增加而增加(χ2=73.366,P=0.000)。血清TC、TG、HDL-C和LDL-C水平分别为4.53、1.43、2.73和1.39 mmol/L,男性血清TG和HDL-C水平与文化程度分别呈正相关和负相关(t=5.938,P=0.000;t=-12.641,P=0.000),女性血清TC、TG和LDL-C水平均随年龄增长而增加(t=10.060,P=0.000;t=12.531,P=0.000;t=8.058,P=0.000),不同职业间4种指标差异均有统计学意义。高TC血症、高TG血症、高LDL-C血症和低HDL-C血症患病率分别为5.14%、12.36%、5.18%和16.94%,高TC、高LDL-C和低HDL-C血症患病率随年龄增加而升高(χ2=13.631,P=0.000;χ2=14.684,P=0.000;χ2=8.893,P=0.003),男性高TG和低HDL-C血症患病率与文化程度呈正相关(χ2=40.386,P=0.000;χ2=70.480,P=0.000),不同职业间的高LDL-C血症和低HDL-C血症患病率差异有统计学意义(χ2=28.783,P=0.000;χ2=14.687,P=0.040)。结论血脂异常是安徽省成年人居民中常见的健康危险因素,应根据血脂异常的年龄、性别、文化程度和职业等差异实施针对性的防控措施。
Objective To understand the prevalence of dyslipidemia among adults in Anhui Province and provide the basis for the development of the health policy of preventing and treating dyslipidemia. Methods Based on the survey data of Anhui Province in the monitoring program of chronic diseases and risk factors of adults in China in 2013, a multistage cluster random sampling method was used to collect the relevant information of the surveyed persons through face-to-face interrogation, fasting venous blood was collected, serum total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), and high density lipoprotein cholesterol (HDL-C) were measured and statistically analyzed by means of post-hoc stratified weight adjustment and complex sampling design. Results The effective sample size was 7120, the prevalence of dyslipidemia was 29.56% in adults, 34.91% in males and 24.26% in females. The prevalence of dyslipidemia in males decreased with age (χ2 = 13.907, P = 0.000) Then increased with age (χ2 = 73.366, P = 0.000). Serum levels of TC, TG, HDL-C and LDL-C were 4.53, 1.43, 2.73 and 1.39 mmol / L, respectively. There was a positive and negative correlation between serum TG and HDL-C levels and educational level (t = 5.938, 0.000 t = -12.641, P = 0.000). The levels of serum TC, TG and LDL-C in female patients increased with age (t = 10.060, P = 0.000; = 0.000). There were significant differences among the four indicators in different occupations. The prevalences of hypercholesterolemia, hypercholesterolemia, hypercholesterolemia and hypo HDL-C were 5.14%, 12.36%, 5.18% and 16.94%, respectively. High TC, high LDL-C and low HDL The prevalence of -C hyperlipidemia increased with age (χ2 = 13.631, P = 0.000; χ2 = 14.684, P = 0.000; χ2 = 8.893, P = 0.003) The prevalence rate was positively correlated with education level (χ2 = 40.386, P = 0.000; χ2 = 70.480, P = 0.000). The prevalence rates of high LDL-C and low HDL-C in different occupations were significantly different (χ2 = 28.783, P = 0.000; χ2 = 14.687, P = 0.040). Conclusions Dyslipidemia is a common health risk factor among adult residents in Anhui Province. Specific prevention and control measures should be implemented according to the differences in age, gender, educational level and occupation of dyslipidemia.