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常州市武进区老年人高脂血症流行病学调查 被引量:16

Epidemiological investigation on hyperlipidemia among elders in rural residents of Changzhou City
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摘要 目的了解常州市武进区60岁及以上老年人高脂血症及其流行病学分布特征。方法利用整群随机抽样的方法,抽取常州市武进区60岁及以上老年人群4 967人,对所有样本人群进行流行病学调查及相关生化指标检查。结果常州市武进区60岁及以上人群高脂血症患病率为25.91%,标化率为25.93%,女性患病率(29.56%)高于男性(20.84%)(P<0.001),且高脂血症的患病率随年龄增高而下降(P=0.004);其中单纯性高胆固醇血症、单纯性高甘油三酯血症、单纯性低高密度脂蛋白胆固醇血症和混合型高脂血症的患病率分别为4.59%、12.25%、7.13%和1.94%。多因素Logistic分析显示,女性、低年龄组、有高血压史、体重指数(body mass index,BMI)和空腹血糖升高为高脂血症的危险因素。结论常州市武进区60岁及以上老年人群高脂血症患病率较高,应该加强健康教育,开展危险因素的干预,降低慢性病对人群健康的危害。 Objective To investigate the prevalence rate and epidemiological distribution of hyperlipidemia among elders in rural residents of Changzhou City. Methods A cluster random sampling method was used to select 4 967 perma- nent residents in rural areas of Changzhou City, a questionnaire survey and medical examination were conducted among them. Results The prevalence rate of hyperlipidemia of this population was 25.91% and the prevalence rate among women was significantly higher than that in men (P 〈 0. 001 ). The prevalence of hyperlipidemia gradually decreased with the increase of age ( P = 0. 004). The prevalence rate of isolated hypercholesterolemia, isolated hypertriglyceridemia, isola- ted low high-density lipoprotein-cholesterol and mixed hyperlipidemia were 4. 59% , 12. 25% , 7. 13% and 1.94%, re- spectively. Logistic regression analysis indicated that female, low age group, with history of hypertension, increased levels of fasting blood glucose and body mass index were risk factors of hypedipidemia. Conclusions All these results suggest that the prevalence rate of hyperlipidemia among elders in rural residents of Changzhou is high. Thus, health education and risk factors intervention should be taken for prevention and control of hyperlipidemia.
出处 《中华疾病控制杂志》 CAS 北大核心 2013年第1期13-16,共4页 Chinese Journal of Disease Control & Prevention
基金 国家自然科学基金(81102180)
关键词 高脂血症 患病率 流行病学 Hyperlipidemia Prevalence rate Epidemiology
作者简介 刘思浚(1977-),女,江苏南京人,讲师,博士。主要研究方向:慢性病流行病学。 【通讯作者】沈洪兵,E—mail:hbshen@njmu.edu.cn
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