Department of Endocrinology for Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China 100026.
Menopause. 2010 May-Jun;17(3):566-70. doi: 10.1097/gme.0b013e3181c8f4e1.
The aim of this study was to determine the prevalence of metabolic syndrome (MetS) in Chinese postmenopausal women and explore the optimum body composition indices to predict MetS.
Participants were independent, community-dwelling women. Recruitment occurred through advertisements in newspapers and flyers posted in the local community. A total of 181 postmenopausal women were recruited. Their parameters were measured, including body height, weight, waist circumference (WC), hip circumference, sagittal abdominal diameter, blood pressure, follicle-stimulating hormone, luteinizing hormone, estradiol, triglyceride, high-density lipoprotein cholesterol, fasting plasma glucose, and body fat (BF; %). Logistic regression analyses were applied for correlation between stated variables. Optimization of body composition indices to predict MetS in postmenopausal women was analyzed with the area under the curve of the receiver.
The prevalence of MetS in postmenopausal women was 33.7%. The risk factors of MetS in postmenopausal women were age, family history of metabolic disorders (obesity, hypertension, hyperlipemia, and diabetes mellitus), body composition indices (body mass index [BMI], WC, waist-to-hip ratio, sagittal abdominal diameter, and BF), and metabolic indices (systolic and diastolic blood pressure, fasting plasma glucose, and triglyceride; odds ratio > 1, P < 0.05), and the protective factor is high-density lipoprotein cholesterol (odds ratio = 0.114, P < 0.05). All body composition indices in our study had a positive correlation with number of MetS factors. The body composition indices in our study showed a positive correlation with each other (P < 0.001). BMI and WC were highly correlated with BF (r > 0.900, P < 0.001). Through receiver operating characteristic curve analysis, it was determined that body composition indices (WC, 80.75 cm; BF, 36.695%; sagittal abdominal diameter, 18.35 cm; or BMI, 24.835 kg/m) could be used to predict MetS.
The prevalence of MetS in Chinese postmenopausal women is 33.7%. Body composition indices (WC > or = 80.75 cm, BF > or = 36.695%, sagittal abdominal diameter > or = 18.35 cm, or BMI > or = 24.835 kg/m) were discovered to predict MetS.
本研究旨在确定中国绝经后妇女代谢综合征(MetS)的患病率,并探讨预测 MetS 的最佳身体成分指标。
参与者为独立的社区居住女性。通过报纸广告和在当地社区张贴传单进行招募。共招募了 181 名绝经后妇女。测量她们的参数,包括身高、体重、腰围(WC)、臀围、矢状腹径、血压、卵泡刺激素、黄体生成素、雌二醇、甘油三酯、高密度脂蛋白胆固醇、空腹血糖和体脂肪(BF;%)。应用逻辑回归分析陈述变量之间的相关性。应用受试者工作特征曲线下面积分析优化预测绝经后妇女 MetS 的身体成分指标。
绝经后妇女 MetS 的患病率为 33.7%。绝经后妇女 MetS 的危险因素为年龄、代谢紊乱家族史(肥胖、高血压、高脂血症和糖尿病)、身体成分指标(体重指数[BMI]、WC、腰臀比、矢状腹径和 BF)和代谢指标(收缩压和舒张压、空腹血糖和甘油三酯;比值比>1,P<0.05),保护因素是高密度脂蛋白胆固醇(比值比=0.114,P<0.05)。我们研究中的所有身体成分指标与 MetS 因素的数量均呈正相关。我们研究中的身体成分指标彼此之间呈正相关(P<0.001)。BMI 和 WC 与 BF 高度相关(r>0.900,P<0.001)。通过受试者工作特征曲线分析,确定身体成分指标(WC,80.75cm;BF,36.695%;矢状腹径,18.35cm;或 BMI,24.835kg/m2)可用于预测 MetS。
中国绝经后妇女 MetS 的患病率为 33.7%。身体成分指标(WC≥80.75cm、BF≥36.695%、矢状腹径≥18.35cm 或 BMI≥24.835kg/m2)被发现可预测 MetS。