首页> 外文期刊>Indian journal of physiology and pharmacology >Receiver operating characteristic curve analysis of BMI and percentage body fat in type 2 diabetics of Punjab.
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Receiver operating characteristic curve analysis of BMI and percentage body fat in type 2 diabetics of Punjab.

机译:旁遮普邦2型糖尿病患者的BMI和体脂百分比的接收器工作特征曲线分析。

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摘要

The present study attempted to establish appropriate cut off levels of Body Mass Index (BMI) for defining overweight as a risk for the development of type 2 diabetes considering percentage body fat (BF) as standard. A total of 300 patients of known type 2 diabetes participated in the study (150 males and 150 females, all > or = 40 years of age). Clinical examination was done. Anthropometric measurements as BMI, Waist Circumference (WC) and Waist-hip ratio (WHR) were calculated. Percentage BF was calculated using skinfold thickness method from the equation of Durnin and Womersley. Mean BMI for males was 24.97 (SD 4.3) kg/m2 and for females was 27.56 (SD 5.14) kg/m2. Mean percentage BF for males was 28.19 (SD 0.74) and for females was 38.22 (SD 5.29). A comparison of BF and BMI data with various ethnic groups revealed conspicuous differences. Receiver operating characteristic (ROC) curve analysis showed a low sensitivity of conventional cut off value of BMI (25 kg/m2) in identifying subjects with overweight as compared to the cut off values based on percentage BF (males > 25, females > 30). This results in substantial misclassification. Based on the ROC curve, a lower cut off value of BMI 22.3 kg/m2, displayed the optimal sensitivity and specificity, and less misclassification in identification of type 2 diabetics with high percentage BF. BF: BMI was calculated and was found to be higher in females.
机译:本研究试图以体重百分比(BF)为标准,确定适当的体重指数(BMI)临界值,以将超重定义为2型糖尿病发展的风险。共有300名已知2型糖尿病患者参加了研究(150名男性和150名女性,年龄均≥40岁)。完成临床检查。计算人体测量值,如BMI,腰围(WC)和腰臀比(WHR)。使用褶皱厚度法,根据Durnin和Womersley公式计算出BF百分比。男性的平均BMI为24.97(SD 4.3)kg / m2,女性的BMI为27.56(SD 5.14)kg / m2。男性的平均BF值为28.19(SD 0.74),女性的平均BF为38.22(SD 5.29)。 BF和BMI数据与不同种族的比较显示出明显的差异。接收者操作特征(ROC)曲线分析显示,与基于BF的临界值(男性> 25,女性> 30)相比,常规BMI临界值(25 kg / m2)对识别超重受试者的敏感性较低。 。这导致严重的错误分类。根据ROC曲线,较低的BMI临界值为22.3 kg / m2,显示出最佳的敏感性和特异性,并且在鉴定高百分比BF的2型糖尿病中显示出较少的误分类。 BF:计算得出的BMI在女性中较高。

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