2019年北海市居民血脂异常状况调查及影响因素分析

Analysis on dyslipidemia status and influencing factors of residents of Beihai city in 2019

目的 调查2019年广西壮族自治区北海市城区居民的血脂异常流行特征,分析导致血脂异常的影响因素。方法 采取概率比例规模抽样方法,抽取2019年北海市海城区6个居委会常住居民共1 394人。采用问卷调查的方式收集调查对象的年龄、性别、文化程度、生活方式、身高、体质量等,采用生化分析仪检测血脂,评价血脂异常情况。采用logistic回归分析法分析血脂异常的影响因素。结果 北海市城区居民血脂异常检出率为33.29%。男性居民血脂异常检出率高于女性(χ^(2)=9.653,P<0.05)。≥60岁居民的血脂异常检出率高于45~59岁及<45岁居民。低体质量与正常体质量居民的血脂异常检出率低于肥胖与超重居民(χ^(2)=95.737,P<0.05)。不同文化程度居民的血脂异常检出率不同(χ^(2)=12.460,P<0.05),吸烟、饮酒居民的血脂异常检出率均高于不吸烟与不饮酒者(χ^(2)分别为33.020、10.358,P均<0.05)。多因素logistic回归分析结果显示,年龄、肥胖、超重及吸烟是血脂异常的独立影响因素(P均<0.05)。结论 2019年北海市城区居民血脂异常检出率较前下降,男性、吸烟、饮酒、小学及以下文化程度与肥胖居民的血脂异常检出率相对较高。年龄、体质量、吸烟是血脂异常的影响因素。

Objective To investigate the characteristics of dyslipidemia in urban residents of Beihai city,Guangxi Zhuang autonomous region in 2019,and to analyze the influencing factors leading to dyslipidemia.MethodsA total of 1394 permanent residents of 6 neighborhood committees in Haicheng district,Beihai city in 2019 were sampled by probability-proportional-to-size sampling.The age,gender,education,lifestyle,height and body mass of the respondents were collected by questionnaire,and the lipids were detected by biochemical analyzer to evaluate the dyslipidemia.The influencing factors of dyslipidemia were analyzed by logistic regression analysis.Results The detection rate of dyslipidemia in Beihai urban residents was 33.29%,which was higher in males than in females(χ^(2)=9.653,P<0.05).The detection rate of dyslipi-demia was higher in residents aged≥60 years than in residents aged 45-59 years and<45 years,and it of dyslipidemia was lower in residents with low and normal body mass than in residents with obesity and overweight(χ^(2)=95.737,P<O.05).The detection rates of dyslipidemia were different among residents with different education levels(χ^(2)=12.460,P<0.05),and the detection rates of dyslipidemia were higher among residents who smoked and drank than a-mong non-smokers and non-drinkers(χ^(2)=33.020 and 10.358,respectively,P<0.05 for both).The results of multi-factor logistic regression analysis showed that age,obesity,overweight leel of and smoking were independent influencing factors of dyslipidemia(all P<0.05).Conclusion In 2019,the detection rate of dyslipidemia in urban residents of Beihai city decreased,and the detection rate of dyslipidemia in males,smoking,drinking,education leel of primary school and be-low and obese residents was relatively high.Age,weight and smoking are the influencing factors of dyslipidemia.