Macronutrient Recommendations for Remission and Prevention of Diabetes in Asian Indians Based on a Data Driven Optimization Model: the Icmr-indiab National Study
Year: 2022
Type: other
Abstract: Objective: To derive macronutrient recommendations for remission and prevention of type 2 diabetes (T2D) in Asian Indians using a data-driven optimization approach. Research Design and Methods: Dietary, behavioral and demographic assessments were performed on 18,090 adults, participating in the nationally representative, population-based ICMR-INDIAB study. Fasting and two-hour post glucose challenge capillary blood glucose and glycosylated haemoglobin (HbA1c) were estimated. With HbA1c as outcome, a linear regression model was first obtained for various glycemic categories [Newly diagnosed diabetes (NDD), pre-diabetes (PD) and normal glucose tolerance (NGT)]. Macronutrient recommendations were formulated as a constrained quadratic programming problem (QPP) so as to compute optimal macronutrient compositions that would reduce the sum of the difference between the estimated HbA1c from the linear regression model and the targets for remission (6.4% for NDD and 5.6% for PD) and prevention of progression (≤ 6.5% for both NDD and PD). Results: Four macronutrient recommendations (%E- Energy) emerged for-1) Diabetes remission in NDD: carbohydrate 49-54%, protein 19-20%, fat 21-26%; 2) PD remission to NGT: carbohydrate 50-56%, protein18-20%, fat 21-27%; 3&4) Prevention of progression to T2D in PD and NGT: carbohydrate 54-57% and 56- 60%protein 16-20% and14-17% respectively; fat 20-24% for PD and NGT. Conclusions: We recommend reduction in carbohydrates (%E) and an increase in protein (%E) for both T2D remission and for prevention of progression to T2D in PD and NGT groups. Our results underline the need for new dietary guidelines that recommend appropriate changes in macronutrient composition for reducing the burden due to diabetes in South Asia.
Authors: Ranjit Mohan Anjana, Seshadhri Srinivasan, Vasudevan Sudha, Shashank R Joshi, Banshi Saboo, Nikhil Tandon, Ashok Kumar Das, Puthiyaveettil Kottayam Jabbar, Sri Venkata Madhu, Arvind Gupta, Sarita Bajaj, Subhankar Chowdhury, Sanjay Kalra, Rajagopal Gayathri, Kuzhandaivelu Abirami, Valangaiman Sriram Manasa, Padmapritha Thamotharan, Nagarajan Lakshmipriya, Gunasekaran Geetha, Mohan Deepa, Rajendra Pradeepa, Ranjit Unnikrishnan, Anura Viswanath Kurpad, Kamala Krishnaswamy, Tanvir Kaur, Rupinder Singh Dhaliwal, Viswanathan Mohan, the ICMR– INDIAB Collaborative Study Group
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4292377154
