文章摘要
徐伟,邢秀雅,贺琴,戴丹,李蕊,许精巧,陈叶纪,刘志荣.安徽省2015年成年人血脂异常流行现状及相关因素研究[J].中华流行病学杂志,2020,41(2):195-200
安徽省2015年成年人血脂异常流行现状及相关因素研究
A cross-sectional study on the prevalence and related factors of dyslipidemia among adults in Anhui province, in 2015
投稿时间:2019-05-05  
DOI:10.3760/cma.j.issn.0254-6450.2020.02.011
中文关键词: 血脂异常;相关因素;横断面调查
英文关键词: Dyslipidemia;Related factors;Cross-sectional study
基金项目:
作者单位E-mail
徐伟 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601  
邢秀雅 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601  
贺琴 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601  
戴丹 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601  
李蕊 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601  
许精巧 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601  
陈叶纪 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601  
刘志荣 安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601 liuzhirong66@126.com 
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中文摘要:
      目的 利用2015年中国成人慢性病与营养监测数据,分析安徽省成年人血脂异常流行状况及其相关因素。方法 采用多阶段分层整群随机抽样方法,选取成年人进行问卷调查和相关指标检测。通过问卷询问获得调查对象的人口学特征、吸烟、饮酒和身体活动等信息;通过身体测量获取BMI、腰围和血压值。采集调查对象空腹静脉血,检测FPG和血脂四项(TC、TG、LDL-C和HDL-C)。使用复杂加权和事后分层权重的基于设计的方法分析不同特征居民的血脂异常患病情况及其相关影响因素。结果 共纳入7 404人,成年居民血脂异常患病率为30.5%,男性血脂异常患病率(36.5%)高于女性(24.4%),差异有统计学意义(P < 0.05)。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3.7%、12.2%、5.3%和19.4%。多因素logistic回归模型分析结果显示,年龄(OR=1.009,95%CI:1.000~1.018)、女性(OR=0.501,95%CI:0.397~0.632)、文化程度大专及以上(OR=1.728,95%CI:1.257~2.374)、饮酒量3级(OR=0.711,95%CI:0.536~0.943)、中心性肥胖(OR=1.868,95%CI:1.547~2.257)、BMI(OR=1.141,95%CI:1.098~1.186)、高血压(OR=1.259,95%CI:1.077~1.473)和糖尿病(OR=2.025,95%CI:1.446~2.835)均为血脂异常的影响因素。结论 2015年安徽省成年居民血脂异常患病水平高,应密切监测和控制危险因素,包括不健康的生活方式或超重、肥胖、高血压和糖尿病患者。
英文摘要:
      Objective Based on the data of chronic diseases and nutrition surveillance among Chinese adults in 2015, dyslipidemia and related factors were analyzed. Methods Multi-stage stratified cluster random sampling was used to select participants who were aged 18 and over, with questionnaire survey and related measurements conducted. Prevalence rates of dyslipidemia among participants by different characteristics and influencing factors were analyzed, using the method of complex weighting and post-weighted stratification. Results In all, 7 404 participants were included. The overall prevalence of dyslipidemia was 30.5% among the adults. The overall prevalence of dyslipidemia were 36.5% in males and 24.4% in females (P < 0.05). The prevalence rates of hypercholesterolemia, hypertriglyceridemia, high LDL-C, and low HDL-C were 3.7%, 12.2%, 5.3%, and 19.4%, respectively. Results from the multivariate logistic regression model analysis showed that age (OR=1.009, 95%CI:1.000-1.018), female (OR=0.501, 95%CI:0.397-0.632), College degree or above (OR=1.728, 95%CI:1.257-2.374), alcohol consumption 3 (OR=0.711, 95%CI:0.536-0.943), central obesity (OR=1.868, 95%CI:1.547-2.257), BMI (OR=1.141, 95%CI:1.098-1.186), hypertension (OR=1.259, 95%CI:1.077-1.473) and diabetes (OR=2.025, 95%CI:1.446-2.835) were influencing factors on dyslipidemia. Conclusions The prevalence of dyslipidemia seemed high among adults in Anhui. Risk factors should be closely monitored and under control, including those people with unhealthy lifestyles or being overweight, obesity, hypertensive and diabetic.
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