Zhou J M, Luo X P, Wang S, Yin L, Pang C, Wang G A, Shen Y X, Wu D T, Zhang L, Ren Y C, Wang B Y, Yang X Y, Zhang H Y, Han C Y, Zhao Y, Li L L, Wang C J, Feng T P, Zhao J Z, Hu D S, Zhang M
Health Science Center, Shenzhen University, Shenzhen 518060, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2016 Sep 6;50(9):799-805. doi: 10.3760/cma.j.issn.0253-9624.2016.09.010.
The purpose of this study was to investigate the prevalence and risk factors of dyslipidemia in a rural population of Henan Province, China. A total of 20 194 participants aged ≥18 years were selected randomly by cluster sampling from two townships(towns)in Henan Province from July to August 2007 and July to August 2008. Investigations included questionnaires, anthropometric measurements, fasting plasma glucose, and lipid profile examination at baseline. A total of 16 155 participants were followed up from July to August 2013 and July to October 2014. Overall, 13 869 participants were included in the study, after excluding 2 286 participants with incomplete dyslipidemia follow-up data. Distributions of the characteristics of dyslipidemia were determined, and prevalence was standardized by age according to data of the 2010 Sixth National Population Census. Risk factors for dyslipidemia were analyzed using a logistic regression model after adjusting for sex, age, education level, marital status, and income status. The prevalence of dyslipidemia was 53.72%(7 450/13 869)for residents aged ≥22 years living in rural areas of Henan Province(59.32%(3 069/5 174)for men and 50.39%(4 381/8 695)for women). The adjusted prevalence of dyslipidemia was 50.50%(59.27% for men and 45.53% for women). The prevalence of hypercholesterolemia, hypertriglyceridemia, low HDL-C, and high LDL-C was 4.34%(602/13 868), 20.42%(2 826/13 837), 42.75%(5 927/13 865), and 3.14%(420/13 375), respectively, and the adjusted prevalence was 2.44%, 18.84%, 41.42%, and 1.86%, respectively. Logistic regression analyses showed that alcohol consumption(=1.27, 95% : 1.05-1.53), family history of hyperlipidemia(=1.29, 95% : 1.17-1.43), overweight(=1.40, 95% : 1.22-1.61), obesity(= 1.65, 95% : 1.39- 1.96), abnormal waist circumference(=1.22, 95% : 1.04- 1.43), and abnormal waist-height ratio(=1.21, 95% : 1.01-1.45)were significant independent risk factors, and high levels of physical activity(=0.85, 95% : 0.77- 0.95)and underweight(=0.52, 95% : 0.36- 0.75)were protective factors for dyslipidemia after adjusting for sex, age, education level, marital status, and income status. The prevalence of dyslipidemia was very high for this rural population. Alcohol consumption, family history of hyperlipidemia, overweight, obesity, abnormal waist circumference, and abnormal waist-height ratio were significant independent risk factors for dyslipidemia.
本研究旨在调查中国河南省农村人口血脂异常的患病率及危险因素。2007年7月至8月以及2008年7月至8月,通过整群抽样从河南省两个乡镇随机选取了20194名年龄≥18岁的参与者。调查内容包括基线时的问卷调查、人体测量、空腹血糖和血脂检查。2013年7月至8月以及2014年7月至10月,对16155名参与者进行了随访。总体而言,在排除2286名血脂异常随访数据不完整的参与者后,共有13869名参与者纳入研究。确定了血脂异常特征的分布情况,并根据2010年第六次全国人口普查数据按年龄进行了患病率标准化。在对性别、年龄、教育程度、婚姻状况和收入状况进行调整后,使用逻辑回归模型分析血脂异常的危险因素。河南省农村地区≥22岁居民血脂异常患病率为53.72%(7450/13869)(男性为59.32%(3069/5174),女性为50.39%(4381/8695))。血脂异常的校正患病率为50.50%(男性为59.27%,女性为45.53%)。高胆固醇血症、高甘油三酯血症、低高密度脂蛋白胆固醇血症和高低密度脂蛋白胆固醇血症的患病率分别为4.34%(602/13868)、20.42%(2826/13837)、42.75%(5927/13865)和3.14%(420/13375),校正患病率分别为2.44%、18.84%、41.42%和1.86%。逻辑回归分析显示,在对性别、年龄、教育程度、婚姻状况和收入状况进行调整后,饮酒(比值比=1.27,95%置信区间:1.05 - 1.53)、高脂血症家族史(比值比=1.29,95%置信区间:1.17 - 1.43)、超重(比值比=1.40,95%置信区间:1.22 - 1.61)、肥胖(比值比=1.65,95%置信区间:1.39 - 1.96)、腰围异常(比值比=1.22,95%置信区间:1.04 - 1.43)和腰高比异常(比值比=1.21,95%置信区间:1.01 - 1.45)是显著的独立危险因素,而高水平的体力活动(比值比=0.85,95%置信区间:0.77 - 0.95)和体重过轻(比值比=0.52,95%置信区间:0.36 - 0.75)是血脂异常的保护因素。该农村人口的血脂异常患病率非常高。饮酒、高脂血症家族史、超重、肥胖、腰围异常和腰高比异常是血脂异常的显著独立危险因素。