摘要
目的探讨新疆部分地区围绝经期女性代谢综合征(MS)的危险因素。方法采用随机抽样的方法,2018年1—12月选取新疆乌鲁木齐、阿勒泰、喀什等地区年龄40~60岁女性950名,共发放问卷950份,有效问卷935份,最终共纳入935名符合标准的研究对象。结合面对面问卷调查和实验室检测的临床资料,使用Logistic回归方法分析MS的危险因素。结果935名调查对象中检出MS 140例,患病率为15.0%。汉族绝经后期者MS检出率低于维吾尔族[14.7%(20/136)比27.8%(25/90)](P=0.016)。汉族肥胖检出率低于维吾尔族[29.8%(169/568)比58.3%(214/367)](P<0.001)。月收入较低(1001~2000元)人群MS风险较低,而饮酒、体重指数≥25.0 kg/m^2、月经初潮≤14岁、文化程度为中学和专科、绝经后、月经周期≥37 d为MS的危险因素(均P<0.05)。结论新疆部分地区女性MS的患病率绝经后期中维吾尔族高于汉族。文化程度低、饮酒、体重指数高、月经周期长、月经初潮早、绝经可以使女性患MS的风险升高。
Objective To explore the risk factors of metabolic syndrome(MS)in perimenopausal female from some areas of Xinjiang Uygur Autonomous Region.Methods The questionnaires were done in 950 women in Urumqi,Altay,Kashgar and other regions of Xinjiang from January to December 2018.Totally 935 valid questionnaires were enrolled in this study.Logistic regression was used to analyze the risk factors of MS.Results There were 140(15.0%)cases who were diagnosed of MS.The incidence of MS in postmenopause female in han nationality was lower than that in uygur nationality[14.7%(20/136)vs 27.8%(25/90)];the difference was statistically significant(P=0.016).The incidence of obesity in female in han nationality was lower than that in uygur nationality[29.8%(169/568)vs 58.3%(214/367)](P<0.001).The risk of MS was lower in the population with monthly income 1001-2000 yuan;drinking,body mass index≥25.0 kg/m2,menarche≤14 years old,education level of middle school and junior college,postmenopause and menstrual cycle≥37 d were the risk factors(all P<0.05).Conclusions The incidence of MS in postmenopause women of uygur nationality in Xinjiang Uygur Autonomous Region is higher than that of han nationality.Low education,alcohol consumption,high body mass index,long menstrual cycles,early menarche and menopause can increase the risk of MS.
作者
黄志英
丁岩
Huang Zhiying;Ding Yan(Department of Gynaecology,the First Affiliated Hospital of Xinjiang Medical University,Urumqi 830000,China)
出处
《中国医药》
2020年第11期1749-1752,共4页
China Medicine
基金
国家自然科学基金(81660249)。
关键词
代谢综合征
危险因素
横断面研究
Metabolic syndrome
Risk factor
Cross-sectional study