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南充市顺庆区成人血脂异常的影响因素分析
引用本文:刘开翔,冯杰,赵玉章,郑在琼,谢席胜.南充市顺庆区成人血脂异常的影响因素分析[J].四川大学学报(医学版),2020,51(1):54-59.
作者姓名:刘开翔  冯杰  赵玉章  郑在琼  谢席胜
作者单位:1.川北医学院第二临床学院·南充市中心医院 肾内科 (南充 637001)
基金项目:默沙东制药有限公司-南充市中心医院高血压、血脂异常、2型糖尿病社区综合管理项目
摘    要:  目的  分析南充市顺庆区城区成人居民血脂异常影响因素。  方法  采用五阶段整群抽样法,抽取2013年1月至2018年4月南充市顺庆区城区内9个社区的成人居民进行问卷调查、体格测量和实验室检查。  结果  本次共调查了105 956人,血脂异常患病率为34.2%(36 272人),其中男性血脂异常患病率38.11%,女性为31.91%(P<0.01)。血脂异常与高血压、糖尿病、冠心病共病的占比分别为13.46%、5.74%、0.39%;与高血压及糖尿病三者共病的占比为2.79%。多因素logistic回归分析结果显示,性别〔 优势比(odds ratio, OR)=1.276,P<0.001〕、体质量指数(OR=1.052,P<0.001)、文化程度(以≤小学为参考,中学OR=1.094,P<0.001; ≥大学OR=1.185,P<0.001)、吸烟史(OR=1.124,P<0.001)、冠心病(OR=1.189,P<0.001)、高血压(OR=1.148,P<0.001)、糖尿病(OR=1.967,P<0.001)、血脂异常家族史(OR=1.760,P<0.001)是本地区居民血脂异常的影响因素。  结论  南充市顺庆区城区居民血脂异常与高血压、糖尿病、冠心病共病情况值得高度关注。男性、肥胖、高文化程度、吸烟、冠心病、高血压、糖尿病、血脂异常家族史是本地区血脂异常的危险因素,需要针对有以上危险因素的高危人群进行积极防控和管理。

关 键 词:血脂异常    危险因素    Logistic回归模型
收稿时间:2019-07-15

Investigation on the Influencing Factors of Adult Dyslipidemia in Shunqing District of Nanchong City
LIU Kai-xiang,FENG Jie,ZHAO Yu-zhang,ZHENG Zai-qiong,XIE Xi-sheng.Investigation on the Influencing Factors of Adult Dyslipidemia in Shunqing District of Nanchong City[J].Journal of West China University of Medical Sciences,2020,51(1):54-59.
Authors:LIU Kai-xiang  FENG Jie  ZHAO Yu-zhang  ZHENG Zai-qiong  XIE Xi-sheng
Institution:1.Department of Nephrology, the Second Affiliated Medical College (Nanchong Central Hospital) of North Sichuan Medical College, Nanchong 637001, China
Abstract:  Objective  To analyze the risk factors of dyslipidemia of adult residents in Shunqing District of Nanchong City.  Methods  A five-stage stratified cluster sampling method was used to select adult residents from 9 communities in the urban area of Shunqing District of Nanchong City from January 2013 to April 2018 for questionnaires survey,physical measurement and laboratory test. Univariate analysis and multivariate logistic regression analysis were used to study the influencing factors of dyslipidemia.  Results  A total of 105 956 people was investigated,and the prevalence rate of dyslipidemia was 34.2% (36 272 cases). Among them, the prevalence rate of male was 38.11%, and 31.91% for female (P<0.01). The proportion of dyslipidemia with hypertension, diabetes, and coronary heart disease was 13.46%, 5.74%, and 0.39%, respectively. The proportion of hypertension with diabetes was 2.79%. Multivariate logistic regression analysis showed that gender (odds ratio (OR)=1.276, P<0.001), body mass index (OR=1.052, P<0.001), education level (set ≤elementary school as reference, high school OR=1.094, P<0.001, ≥graduated OR=1.185, P<0.001), smoking history (OR=1.124, P<0.001), coronary heart disease (OR=1.189, P<0.001), hypertension (OR=1.148, P<0.001),sdiabetes (OR=1.967, P<0.001), and family history of dyslipidemia (OR=1.760, P<0.001) were the influencing factors of dyslipidemia in residents of this region. Conclusions The dyslipidemia of urban residents in Nanchong area is highly concerned with hypertension, diabetes, and coronary heart disease. Male, obesity, high education level, smoking, coronary heart disease, hypertension, diabetes, and family history of dyslipidemia are risk factors for dyslipidemia in urban residents of Nanchong area. It is necessary to actively target the above risk factors and high-risk groups.
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