四川省40岁及以上居民脑卒中患病情况及影响因素分析

Study on the prevalence of stroke and its influencing factors among the population aged 40 and over in Sichuan Province

目的 了解四川省40岁及以上常住居民脑卒中患病情况,为制定防控措施提供依据。方法 依托2017年国家重大公共卫生项目——“脑卒中高危人群筛查与干预项目”,在四川省成都市、南充市、乐山市、德阳市、遂宁市、宜宾市、绵阳市、泸州市和自贡市的18个乡镇/社区,对40岁及以上常住居民进行脑卒中问卷调查、体格检查和实验室检查。采用SAS9.4进行数据清理、一般描述性分析和单因素χ^(2)检验,用MLwin 2.32统计软件进行两水平Logistics模型分析。结果 本次共调查40岁及以上常住居民23 633名,脑卒中患者532人,患病率为2.25%。两水平方差成分模型显示,脑卒中危险因素有增加的年龄(50~59、60~69、70~79和≥80的OR值分别为2.75、5.65、7.03和6.43)、高血压(OR=2.99)、血脂异常(OR=1.29)、糖尿病(OR=1.32)、房颤(OR=5.04)、缺乏运动(OR=1.25)、卒中家族史(OR=2.58)。结论 四川省脑卒中患病率低于全国水平,其主要影响因素有年龄、血压、血糖、血脂、运动情况和卒中家族史等。

Objective To explore the prevalence and risk factors of stroke in the population aged 40and over in Sichuan province and to provide scientific basis for prevention and control. Methods According to the random cluster sampling method,total 18 towns and communities from Chengdu,Nanchong, Leshan, Deyang, Suining, Yibin, Mianyang, Luzhou and Zigong cities were selected,and the residents aged 40 and above were investigated by questionnaire, physical examination and laboratory examination, based on the 2017 National Major Public Health Project-Stroke high-risk population screening and intervention project. SAS 9.4 was used for data cleaning, general descriptive analysis and single factor χ^(2)test, and two-level Logistics model was performed with MLwin 2.32 statistical software. Results A total of 23 633 residents aged 40 and over were investigated. The prevalence rate was 2.25%. The two-level Logistic model shows that the risk factors for stroke were increased with age(50-59,60-69,70-79,≥80 with OR values of 2.75,5.65, 7.03 and 6.43), hypertension(OR=2.99), dyslipidemia(OR=1.29), diabetes(OR=1.32),atrial fibrillation(OR=5.04), lack of exercise(OR=1.25) and family history of stroke(OR=2.58). Conclusions The prevalence rate of stroke in Sichuan province is lower than that in the whole country. The main influencing factors are age, blood pressure, blood sugar, blood lipid,exercise and family history of stroke.