Journal article
Obesity indicators that best predict type 2 diabetes in an Indian population: insights from the Kerala Diabetes Prevention Program
Nitin Kapoor, Mojtaba Lotfaliany, Thinmavukkarasu Sathish, KR Thankappan, Nihal Thomas, John Furler, Brian Oldenburg, Robyn J Tapp
JOURNAL OF NUTRITIONAL SCIENCE | CAMBRIDGE UNIV PRESS | Published : 2020
DOI: 10.1017/jns.2020.8
Abstract
Obesity indicators are known to predict the presence of type 2 diabetes mellitus (T2DM); however, evidence for which indicator best identifies undiagnosed T2DM in the Indian population is still very limited. In the present study we examined the utility of different obesity indicators to identify the presence of undiagnosed T2DM and determined their appropriate cut point for each obesity measure. Individuals were recruited from the large-scale population-based Kerala Diabetes Prevention Program. Oral glucose tolerance tests was performed to diagnose T2DM. Receiver operating characteristic (ROC) curve analyses were used to compare the association of different obesity indicators with T2DM and t..
View full abstractGrants
Awarded by National Health and Medical Research Council, Australia
Awarded by ASCEND Program - Fogarty International Centre of the National Institutes of Health (NIH)
Funding Acknowledgements
The Kerala Diabetes Prevention Program (K-DPP) was funded by the National Health and Medical Research Council, Australia (project grant no. 1005324). N. K. was supported by the ENCORE programme for his PhD, funded by the University of Melbourne. T. S. was supported by the ASCEND Program, funded by the Fogarty International Centre of the National Institutes of Health (NIH) under award no. D43TW008332. The contents of the present study are solely the responsibility of the authors and do not reflect the views of the National Health and Medical Research Council, NIH, University of Melbourne or the ASCEND Program.