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目的探讨天津市某社区50岁以上人群代谢综合征(Metabolic Syndrome,MS)患病率及影响患病率的相关因素。方法于2011年10月～2012年3月采用分层整群随机抽样方法抽取天津市某社区≥50岁、在天津市居住≥5年的居民共4 577人作为研究人群进行横断面调查,内容包括人口统计学特征、生活方式、疾病史、疾病家族史等调查,身高、体重、腰围、臀围等体格检查,以及空腹血糖、血脂等实验室检查。代谢综合征患者的诊断采用2005年国际糖尿病联盟(IDF)提出的代谢综合征诊断标准。以MS患者为病例组,非MS患者为对照组,应用非条件Logistic回归分析方法对MS的危险因素进行单因素分析和多因素分析,计算比值比(OR)及其95%可信区间(95%CI)。结果研究结果显示,4 577名研究对象中,MS患者1 838人,MS患病率为40.16%。以MS患者为病例组,非MS患者为对照组,进行单因素非条件Logistic回归分析,结果表明:年龄大(OR=1.102,95%CI:1.021～1.189)、月收入高(OR=1.091,95%CI:1.013～1.714)、高血压家族史(OR=1.788,95%CI:1.546～2.067)、糖尿病家族史(OR=1.810,95%CI:1.352～2.423)、腰臀比(WHR)高(OR=1.370,95%CI:1.287～1.460)、体重指数(BMI)大(OR=2.397,95%CI:2.198～2.614)和睡眠障碍(OR=1.274,95%CI:1.106～1.477)与较高的MS危险有关;多因素Logistic回归分析结果表明:年龄大(OR=1.192,95%CI:1.096～1.298)、人均月收入高(OR=1.090,95%CI:1.005～1.182)、高血压家族史(OR=1.619,95%CI:1.382～1.895)、糖尿病家族史(OR=1.600,95%CI:1.165～2.199)、BMI大(OR=2.284,95%CI:2.089～2.497)、WHR高(OR=1.334,95%CI:1.246～1.428)、睡眠障碍(OR=1.183,95%CI:1.015～1.378)与较高的MS危险有关;而男性(OR=0.514,95%CI:0.450～0.587)与较低的MS危险有关。结论研究人群MS患病率为40.16%。性别、年龄、人均月收入、体重指数、高血压家族史、糖尿病家族史、腰臀比、睡眠障碍和MS有关。
Objective To investigate the prevalence of Metabolic Syndrome (MS) and the related factors influencing the prevalence rate in people over 50 years old in a certain community of Tianjin. Methods From October 2011 to March 2012, a stratified cluster random sampling method was used to select a community of ≥50 years in Tianjin and 4777 residents living in Tianjin for ≥5 years as a cross-sectional survey of the population. Including demographic characteristics, lifestyle, history of illness, family history of disease and other surveys, height, weight, waist circumference, hip circumference and other physical examination, as well as fasting blood glucose, blood lipids and other laboratory tests. Metabolic syndrome patients diagnosed with the 2005 International Diabetes Federation (IDF) proposed metabolic syndrome diagnostic criteria. Using MS patients as the case group and non-MS patients as the control group, the risk factors of MS were analyzed by univariate and multivariate analysis using unconditional Logistic regression analysis, and the odds ratio (OR) and 95% confidence interval (95 % CI). Results The results showed that of the 4 577 subjects, there were 1 838 MS patients with a MS prevalence of 40.16%. MS patients as the case group, non-MS patients as the control group, univariate non-conditional Logistic regression analysis showed that: the age (OR = 1.102,95% CI: 1.021-1.189), high monthly income (OR = 1.091, Family history of hypertension (OR = 1.788, 95% CI: 1.546-2.067), family history of diabetes (OR = 1.810, 95% CI: 1.352-2.423), WHR (OR = 1.370, 95% CI: 1.287-1.460), BMI (OR = 2.397, 95% CI: 2.198-2.614) and sleep disorders (OR = 1.274, 95% CI: 1.106-1.477) (OR = 1.192, 95% CI: 1.096-1.298), the monthly income per capita was high (OR = 1.090, 95% CI: 1.005-1.182), and the risk of MS was higher. The multivariate Logistic regression analysis showed that: Family history of hypertension (OR = 1.619, 95% CI: 1.382-1.895), family history of diabetes (OR = 1.600, 95% CI: 1.165-2.19), high BMI (OR = 2.284, 95% CI: 2.089-2.497) , High WHR (OR = 1.334, 95% CI: 1.246-1.428), sleep disorders (OR = 1.183,95% CI: 1.015-1.378) were associated with higher MS risk; : 0.450 ~ 0.587) is associated with lower MS risk. Conclusion The prevalence of MS in study population was 40.16%. Gender, age, monthly income per capita, body mass index, family history of hypertension, family history of diabetes, waist-hip ratio, sleep disorders, and MS.