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Anthropometric indicators as predictors of the risk of metabolic syndrome in adult working men

机译:人体测量指标可预测成年男性代谢综合征风险

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Measurement of body weight, height, waist and hip circumference is a standard procedure that allows to better define the risk of metabolic syndrome. The aim of the study is to determine the usefulness of anthropometric indicators such as BMI, WC (waist circumference), WHR, WHtR and percentage of body fat to predict the metabolic cardiovascular risk in the adult male population of Krakow, as well as an attempt to determine the metabolic cardiovascular risk with the original anthropometric risk index. The study included 405 men from the population working in the T. Sendzimir Steelworks in Kraków at the age of 30-69 years. Anthropometric measurements: body height measured to the nearest mm, circuits (waist, hips) measured to the nearest centimetre, the percentage of fat (the type of electronic scales Tanita BF 300) measured according to the standard protocol by the same technician and biomedical indicators assessing the functional status of organism, total cholesterol, HDL, LDL, triglycerides, glucose and blood pressure measured with a mercury manometer. As a measure of goodness of fit for the indices of risk (and their components), the AUC method was used for the ROC curves to evaluate the sensitivity and specificity of the diagnostic test. The results show that significant in predicting the risk of metabolic syndrome are not only standard anthropometric measurements specified in the standards of WHO, EGIR, NCEP and IDF. In addition, it is important to take into account the amount of fat and calculate the cumulative risk index based on all relevant measurements and indicators.
机译:体重,身高,腰围和臀围的测量是一种标准程序,可以更好地确定代谢综合征的风险。这项研究的目的是确定人体测量指标(如BMI,WC(腰围),WHR,WHtR和体脂百分比)对预测克拉科夫成年男性人群代谢性心血管疾病风险的有用性,并尝试用原始的人体测量风险指数来确定代谢性心血管风险。该研究纳入了405名来自克拉科夫T. Sendzimir钢厂的人口,年龄在30-69岁之间。人体测量:测量身高至最接近的毫米,测量电路(腰部,臀部)至最接近的厘米,脂肪百分比(Tanita BF 300电子秤的类型)由同一技术人员和生物医学指标根据标准协议测量评估使用汞压力计测量的生物体的功能状况,总胆固醇,HDL,LDL,甘油三酸酯,葡萄糖和血压。作为对风险指数(及其成分)的拟合优度的一种度量,AUC方法用于ROC曲线,以评估诊断测试的敏感性和特异性。结果表明,不仅在WHO,EGIR,NCEP和IDF标准中指定的标准人体测量学,对于预测代谢综合征的风险具有重要意义。此外,重要的是要考虑到脂肪的数量,并根据所有相关的测量和指标来计算累积风险指数。

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