Thomas Ronnie, Ambookan Prashanth Varkey, Jose Jobinse, Unnikrishnan U G
Department of Community Medicine, Jubilee Mission Medical College and Research Institute, Thrissur, Kerala, India.
Department of Plastic Surgery, Jubilee Mission Medical College and Research Institute, Thrissur, Kerala, India.
J Family Med Prim Care. 2020 Jul 30;9(7):3416-3420. doi: 10.4103/jfmpc.jfmpc_269_20. eCollection 2020 Jul.
The distribution of body fat and its variation is of great importance in determining the pathogenesis of insulin resistance. Central obesity has been recognized as an independent risk factor for diabetes. The objective of the study was to evaluate the predictive accuracy of various anthropometric measures of body fat in determining impaired glucose tolerance (IGT) or prediabetes among South Indian population.
This was a community-based comparative cross-sectional study where the anthropometric measures of a representative sample of 171 individuals with glycosylated hemoglobin (HbA1c) in the range for IGT were compared with age- and gender-matched controls with HbA1c in the normal range. The predictive accuracy of the various anthropometric measures of obesity to identify individuals with IGT was estimated using the area under the receiver operating characteristic (ROC) curve.
Patients with IGT in both genders had significantly higher BMI, waist circumference (WC), neck circumference (NC), and waist-to-height ratio (WHtR). ROC analysis revealed WHtR in females and NC among males to have the largest area under the curve for predicting IGT. In both genders, WC, WHtR, and NC had better predictive accuracy for prediabetes as compared to BMI and waist-to-hip ratio (WHR).
It is suggested that the WHtR and WC are better screening tools for prediabetes in comparison to BMI and WHR among the South Indian population.
体脂分布及其变化在确定胰岛素抵抗的发病机制中至关重要。中心性肥胖已被公认为糖尿病的独立危险因素。本研究的目的是评估各种人体测量学指标在确定南印度人群糖耐量受损（IGT）或糖尿病前期方面的预测准确性。
这是一项基于社区的比较性横断面研究，将171例糖化血红蛋白（HbA1c）处于IGT范围内的个体的人体测量学指标与年龄和性别匹配的HbA1c在正常范围内的对照组进行比较。使用受试者操作特征（ROC）曲线下面积估计各种肥胖人体测量学指标识别IGT个体的预测准确性。
IGT患者无论男女，其体重指数（BMI）、腰围（WC）、颈围（NC）和腰高比（WHtR）均显著更高。ROC分析显示，女性的WHtR和男性的NC在预测IGT时曲线下面积最大。在男女两性中，与BMI和腰臀比（WHR）相比，WC、WHtR和NC对糖尿病前期具有更好的预测准确性。
提示在南印度人群中，与BMI和WHR相比，WHtR和WC是更好的糖尿病前期筛查工具。
