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目的了解辽宁省农村居民不同肥胖相关人体测量指数与脑卒中患病的关系,为脑卒中的预防控制提供参考依据。方法于2012年1月—2013年8月采取多阶段随机整群抽样方法在辽宁省大洼、彰武和辽阳县抽取3个镇26个村11 345名≥35岁农村居民进行问卷调查、体格检查和实验室检测,分析身体形态指数(ABSI)、身体圆度指数(BRI)、体质指数(BMI)、腰围(WC)、腰臀比(WHR)5种肥胖相关人体测量指数与脑卒中患病的关系。结果辽宁省11 345名≥35岁农村居民中,脑卒中患者996例,脑卒中患病率为8.8%;在调整了年龄、民族、文化程度、家庭年均收入、吸烟、饮酒、收缩压、舒张压、空腹血糖、总胆固醇、甘油三酯、低密度脂蛋白胆固醇、高密度脂蛋白胆固醇、血脂、血尿酸等混杂因素后,对ABSI、BRI、BMI、WC、WHR等5种肥胖相关人体测量指数第四四分位数与第一四分位数脑卒中患病情况比较,多因素非条件logistic回归分析结果显示,在男性人群中,对脑卒中患病均无预测意义(均P>0.05);在女性人群中,BRI预测能力较强(OR=1.81,95%CI=1.36~2.42),其次为WHR(OR=1.75,95%CI=1.31~2.34),再次为WC(OR=1.55,95%CI=1.16~2.07)和BM I(OR=1.47,95%CI=1.09~1.98),ABSI预测能力最弱(OR=1.42,95%CI=1.08~1.87)。结论 ABSI、BRI、BM I、WC、WHR等5种肥胖相关人体测量指数在辽宁省农村居民中对脑卒中的预测能力不一致,其中BRI在女性中显示出较好的预测能力。
Objective To understand the relationship between different obesity-related anthropometric indexes and the prevalence of stroke among rural residents in Liaoning Province, and provide a reference for the prevention and control of stroke. Methods From January 2012 to August 2013, a multistage randomized cluster sampling method was adopted to collect 11 345 rural residents aged 35 years or older from 26 villages in 3 towns in Dawa, Zhangwu and Liaoyang counties of Liaoning Province for questionnaire survey. The body mass index (ABSI), body mass index (BRI), body mass index (BMI), waist circumference (WC) and WHR (WHR) The relationship between the sick. Results Of the 11 345 rural residents aged 35 years or older in Liaoning Province, 996 were stroke patients and the prevalence of stroke was 8.8%. After adjustment for age, nationality, educational level, annual household income, smoking, drinking, systolic blood pressure, Diastolic blood pressure, fasting blood glucose, total cholesterol, triglycerides, low density lipoprotein cholesterol, high density lipoprotein cholesterol, blood lipids, blood uric acid and other confounders, ABSI, BRI, BMI, WC, WHR and other obesity-related human body Multivariate non-conditional logistic regression analysis showed that there was no significant difference in the incidence of stroke between the fourth quartile of the index and the first quartile (all P> (OR = 1.81, 95% CI = 1.36-2.42), followed by WHR (OR = 1.75,95% CI = 1.31-2.34) 1.55, 95% CI = 1.16-2.07) and BM I (OR = 1.47, 95% CI = 1.09-1.98). ABSI had the weakest predictive power (OR = 1.42, 95% CI = 1.08-1.87). CONCLUSIONS: Five obesity-related anthropometric indices, ABSI, BRI, BM I, WC, and WHR, are inconsistent in prediction of stroke among rural residents in Liaoning Province. Among them, BRI shows good predictive ability in women.