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Updated: Feb 24, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Anthropometric indicators as predictor of pre-diabetes in Indian adolescents
Umeshwar Pandey1, Tanu Midha2, Yashwant Kumar Rao3
1LPS Institute of Cardiology, Kanpur, Uttar Pradesh, India.
Introduction:
In India, there are approximately 41 million diabetics to date. Impaired glucose tolerance or pre-diabetes may occur as early as adolescence.
Objective:
To find out the cut-off values of body mass index (BMI) and waist circumference to predict pre-diabetes in adolescents in north India.
Methods:
A cross-sectional study was conducted among 526 students aged 17-19 years, in the Institute of Paramedical Sciences, Chatrapati Shahuji Maharaj University, Kanpur. A pre-tested questionnaire was used and the diagnostic criteria of the American Diabetic Association were applied. Receiver operating characteristic(ROC) analysis was used to assess the cut-offs of BMI and waist circumference for predicting prediabetes.
Results:
ROC analysis showed that BMI is a good predictor of prediabetes for both boys and girls.Area under the ROC curve was 0.828 for boys and 0.838 for girls, respectively. The cut-off values of BMI for predicting prediabetes were identified as ≥22.8kg/m2 in boys and ≥20.5kg/m2 in girls. Upon ROC analysis for waist circumference, it was observed that it was a good predictor of prediabetes both for boys (area under the curve 0.804) and girls (area under the curve 0.795). The cut-offs for waist circumference for predicting prediabetes were found to be ≥82.5cm for boys and ≥80.3cm for girls.
Conclusion:
BMI and waist circumference estimation can be done for early detection of prediabetes in adolescents for further diagnostic evaluation and management.
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