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2013年吉林省居民高血脂患病情况及影响因素分析
引用本文:王明杰,邵双双,王燕,刘鑫,张扬,王晓伟,孙平辉.2013年吉林省居民高血脂患病情况及影响因素分析[J].实用预防医学,2018,25(4):508-510.
作者姓名:王明杰  邵双双  王燕  刘鑫  张扬  王晓伟  孙平辉
作者单位:吉林大学公共卫生学院,吉林 长春 130021
摘    要:目的 探究2013年吉林省居民高血脂的患病情况及影响因素,为制定高血脂的防治及干预措施提供科学依据。 方法 采用多阶段分层随机抽样的方法2013年抽取吉林省18岁以上居民4 595例进行问卷调查(包括调查对象的一般人口学资料和行为方式等)、体格检查(身高、体重、腰围和血压等)及血液检测(血常规、快速血糖和血脂检测)分析居民高血脂的患病情况。 结果 吉林省居民高血脂患病率为39.8%。单因素分析结果显示不同性别、年龄、民族、居住地居民、以及是否吸烟、饮酒、不同BMI、是否患高血压、糖尿病居民高血脂的患病率差异有统计学意义(P<0.05)。多因素logistic回归分析结果显示:男性(OR=1.300,95%CI:1.120~1.509)、其他民族(OR=1.378,95%CI:1.142~1.664)、55~65岁年龄组(OR=1.464,95%CI:1.004~2.136)、18.5≤BMI<24(OR=1.761,95%CI:1.105~2.808)、24≤BMI<28(OR=3.799,95%CI:2.381~6.061)、BMI≥28(OR=5.631,95%CI:3.482~9.106)、居住在城市(OR=1.231,95%CI:1.083~1.398)、吸烟(OR=1.261,95%CI:1.074~1.481)、糖尿病(OR=1.926,95%CI:1.621~2.289)、高血压(OR=1.402,95%CI:1.222~1.609)是高血脂患病的危险因素。 结论 2013年吉林省18岁以上居民高血脂患病率较高,超重、肥胖和患糖尿病、高血压是居民高血脂患病的主要危险因素。

关 键 词:高血脂  患病率  影响因素  
收稿时间:2017-05-09

Prevalence of hyperlipemia and its influencing factors among residents in Jilin Province, 2013
WANG Ming-jie,SHAO Shuang-shuang,WANG Yan,LIU Xin,ZHANG Yang,WANG Xiao-wei,SUN Ping-hui.Prevalence of hyperlipemia and its influencing factors among residents in Jilin Province, 2013[J].Practical Preventive Medicine,2018,25(4):508-510.
Authors:WANG Ming-jie  SHAO Shuang-shuang  WANG Yan  LIU Xin  ZHANG Yang  WANG Xiao-wei  SUN Ping-hui
Affiliation:School of Public Health, Jilin University, Changchun, Jilin 130021, China
Abstract:Objective To investigate the prevalence of hyperlipemia and its influencing factors amomg residents in Jilin Province in 2013, and to provide a scientific basis for developing hyperlipemia prevention, treatment and intervention measures. Methods Multistage stratified random sampling method was used to select 4,595 residents aged 18 years and above in Jilin Province in 2013. A questionnaire survey (including the surveyed subjects’ general demographic data and behavior pattern), physical examination (including height, weight, waist circumference and blood pressure) and blood tests (including routine blood test, fast blood glucose and blood lipid tests) were conducted, and then the prevalence of hyperlipemia in the residents was analyzed. Results The prevalence rate of hyperlipemia in the resident in Jilin Province was 39.8%. Univariate analysis showed that there were statistically significant differences in the prevalence rate of hyperlipidemia among residents with different genders, ages, nationalities, residence and BMI as well as between residents with or without smoking, drinking, hypertension and diabetes mellitus (all P<0.05). Multivariate logistic regression analysis showed that male (OR=1.300, 95%CI=1.120-1.509), other ethnic groups (OR=1.378, 95%CI=1.142-1.664), the age group of 55-65 years (OR=1.464, 95%CI:1.004-2.136), 18.5≤BMI<24 (OR=1.761, 95%CI:1.105-2.808), 24≤BMI<28 (OR=3.799, 95%CI:2.381-6.061), BMI ≥ 28 (OR=5.631, 95%CI:3.482-9.106), urban residence (OR=1.231, 95%CI:1.083-1.398), smoking (OR=1.261, 95%CI:1.074-1.481), diabetes mellitus (OR=1.926, 95%CI:1.621-2.289), hypertension (OR=1.402, 95%CI:1.222-1.609) were the risk factors for hyperlipemia. Conclusions The prevalence rate of hyperlipemia in the residents aged 18 years and above in Jilin Province in 2013 was relatively high. Overweight, obesity and suffering from diabetes and hypertension were the main risk factors for the occurrence of hyperlipemia in the residents.
Keywords:hyperlipemia  prevalence rate  influencing factor  
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