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目的了解深圳市莲花街道高血压患病率及其危险因素。方法运用多阶段整群随机方法,抽取该街道18～69岁居民进行问卷调查和体格测量,采用Logistic回归分析方法筛选高血压相关影响因素。结果共调查1 304人,高血压总患病率12.72%、标化患病率16.61%。多因素非条件Logistic回归分析结果表明,年龄、文化程度、高血脂、体质指数、腰臀比、静息活动和高血压患病相关,OR值分别为2.061、0.724、1.781、2.153、1.642、1.905。结论年龄、高血脂、体质指数、腰臀比、静息活动为莲花街道高血压患病的重要危险因素。
Objective To understand the prevalence of hypertension and its risk factors in Lianhua Street, Shenzhen. Methods A multistage cluster randomized method was used to select residents from 18 to 69 years old in the street for questionnaire survey and physical measurement. Logistic regression analysis was used to screen the influencing factors of hypertension. Results A total of 1 304 people were surveyed, the total prevalence of hypertension was 12.72% and the standardized prevalence was 16.61%. Multivariate non-conditional logistic regression analysis showed that age, education, hyperlipidemia, body mass index, waist-hip ratio, resting activity and hypertension were associated with OR values of 2.061,0.724,1.781,2.153,1.642,1.905 . Conclusion Age, hyperlipidemia, body mass index, waist-to-hip ratio and resting activity are important risk factors for hypertension in Lotus street.