Loading…
Anthropometric indicators as predictor of pre-diabetes in Indian adolescents
In India, there are approximately 41 million diabetics to date. Impaired glucose tolerance or pre-diabetes may occur as early as adolescence. To find out the cut-off values of body mass index (BMI) and waist circumference to predict pre-diabetes in adolescents in north India. A cross-sectional study...
Saved in:
Published in: | Indian heart journal 2017-07, Vol.69 (4), p.474-479 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | In India, there are approximately 41 million diabetics to date. Impaired glucose tolerance or pre-diabetes may occur as early as adolescence.
To find out the cut-off values of body mass index (BMI) and waist circumference to predict pre-diabetes in adolescents in north India.
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.
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.
BMI and waist circumference estimation can be done for early detection of prediabetes in adolescents for further diagnostic evaluation and management. |
---|---|
ISSN: | 0019-4832 |
DOI: | 10.1016/j.ihj.2017.06.006 |