Division of Yoga and Life Sciences, SVYASA University, Prashanti Kutiram, Vivekananda Road, Kalluballu Post, Jigani, Bengaluru 560015, India.
Division of Yoga and Life Sciences, SVYASA University, Prashanti Kutiram, Vivekananda Road, Kalluballu Post, Jigani, Bengaluru 560015, India.
Diabetes Res Clin Pract. 2020 Mar;161:108037. doi: 10.1016/j.diabres.2020.108037. Epub 2020 Jan 29.
Obesity measurement is a vital component of most type 2 diabetes screening tests; while studies had shown that waist circumference (WC) is a better predictor in South Asians, there is evidence that BMI is also effective. Our objective was to evaluate the efficacy of BMI a composite measure, against BMI and WC.
Using data from a nationwide randomized cluster sample survey (NMB-2017), we analyzed 7496 adults at high risk for type 2 diabetes. WC, BMI, and BMI were evaluated using Odds Ratio (OR), and Classification scores (Sensitivity, Specificity, and Accuracy). These were validated using Indian Diabetes Risk Score (IDRS) by replacing WC with BMI and BMI, and calculating Sensitivity, Specificity, and Accuracy.
BMI had higher OR (2·300) compared to WC (1·87) and BMI (2·26). WC, BMI, and BMI were all highly Sensitive (0·75, 0·81, 0·70 resp.). But BMI had significantly higher Specificity (0.36) when compared to WC and BMI (0.27 each). IDRS, IDRS, and IDRS were all highly Sensitive (0·87, 0·88, 0·82 resp.). But IDRS had significantly higher Specificity (0·39) compared to IDRS and IDRS (0·30, 0·31 resp.).
Both WC and BMI are good predictors of risk for T2DM, but BMI is a better predictor, with higher Specificity; this may indicate that Indians with high values of both central (high WC) and general (BMI > 23) obesity carry higher risk for type 2 diabetes than either one in isolation. Using BMI in IDRS improves its performance on Accuracy and Specificity.
肥胖测量是大多数 2 型糖尿病筛查测试的重要组成部分；虽然研究表明腰围（WC）是南亚人的更好预测指标，但有证据表明 BMI 也有效。我们的目的是评估 BMI 作为综合指标与 BMI 和 WC 的疗效。
使用来自全国随机聚类样本调查（NMB-2017）的数据，我们分析了 7496 名高危 2 型糖尿病成年人。使用优势比（OR）和分类评分（敏感性、特异性和准确性）评估 WC、BMI 和 BMI。通过用 BMI 替换 WC 并用 BMI 和 BMI 计算敏感性、特异性和准确性，用印度糖尿病风险评分（IDRS）验证这些结果。
与 WC（1.87）和 BMI（2.26）相比，BMI 的 OR（2.300）更高。WC、BMI 和 BMI 均具有较高的敏感性（分别为 0.75、0.81 和 0.70）。但是，与 WC 和 BMI（分别为 0.27）相比，BMI 的特异性显著更高（0.36）。IDRS、IDRS 和 IDRS 均具有较高的敏感性（分别为 0.87、0.88 和 0.82）。但是，与 IDRS 和 IDRS（分别为 0.30 和 0.31）相比，IDRS 的特异性显著更高（0.39）。
WC 和 BMI 都是 2 型糖尿病风险的良好预测指标，但 BMI 是更好的预测指标，特异性更高；这可能表明，印度人中央（高 WC）和一般（BMI>23）肥胖值较高的人患 2 型糖尿病的风险高于单独一种肥胖的人。在 IDRS 中使用 BMI 可提高其准确性和特异性。
