首页> 外文期刊>Experimental and clinical endocrinology and diabetes: Official journal, German Society of Endocrinology [and] German Diabetes Association >Anthropometric measurements for prediction of metabolic risk among Chinese adults in Pudong new area of Shanghai.
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Anthropometric measurements for prediction of metabolic risk among Chinese adults in Pudong new area of Shanghai.

机译:人体测量法预测上海浦东新区中国成年人的代谢风险。

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BACKGROUND: Numerous studies have demonstrated the ability of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) to predict the risk of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD). This study aimed to evaluate the predictive value of these anthropometries for metabolic abnormalities and related diseases in Chinese adults. MATERIAL & METHODS: A cross-sectional study was conducted in 2 477 men and 3 107 women at 20-79 years old who were randomly selected from Pudong New Area of Shanghai, China, through a multistage sampling process. Anthropometric variables and blood pressure were measured according to a standardized protocol, and a fasting blood sample was collected from each subject for biochemical analysis. RESULTS: Prevalence of the metabolic syndrome was observed to increase with increasing BMI, WC, WHR and WHtR in both sexes. Participants with any metabolic abnormality had a higher body size than those without. The associations of anthropometries with each metabolic factor were significant and equal for BMI, WC, WHR and WHtR. Areas under the receiver operating characteristic curves (AUC) ranged from 0.59 to 0.72 across the 4 anthropometries in predicting individual and clusters of metabolic factors. However, none of the 4 anthropometries identified newly-diagnosed T2DM or hypertension with a high sensitivity or specificity. CONCLUSION: Our findings suggest that the independent use of BMI, WC, WHR, or WHtR may not be an effective tool to predict metabolic factors and related chronic diseases in Chinese adults.
机译:背景:大量研究表明,体重指数(BMI),腰围(WC),腰臀比(WHR)和腰围身高比(WHtR)能够预测2型糖尿病的风险(T2DM)和心血管疾病(CVD)。这项研究旨在评估这些人体测量学对中国成年人代谢异常和相关疾病的预测价值。材料与方法:采用多阶段抽样方法,从中国上海市浦东新区随机抽取20-79岁的2477名男性和3107名女性进行了横断面研究。根据标准化方案测量人体测量学变量和血压,并从每个受试者收集空腹血液样品以进行生化分析。结果:观察到代谢综合征的患病率随BMI,WC,WHR和WHtR的增加而增加。有任何代谢异常的参与者的体型要比没有代谢异常的参与者高。人体测量学与每种代谢因子之间的关联是显着的,并且对于BMI,WC,WHR和WHtR而言是相等的。在预测代谢因子的个体和簇时,在4个人体测量学中,接受者工作特征曲线(AUC)下的面积范围为0.59至0.72。但是,这4种人体测量学均未以高敏感性或特异性鉴定出新诊断的T2DM或高血压。结论:我们的发现表明,单独使用BMI,WC,WHR或WHtR可能不是预测中国成年人代谢因子和相关慢性疾病的有效工具。

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