Comparison of triglyceride/glucose index and related parameters with Indian Diabetes Risk Score assessment in non-diabetic individuals visiting primary healthcare centre-A community-based cross-sectional study
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Updated: Jul 1, 2025

Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT
Published on: January 7, 2018
Sivapragasam Ramalingam1, Amlan Kumar Kar1, Rajini Senthil1
1Department of Community Medicine, Sri Lakshmi Narayana Institute of Medical Sciences, BIHER, Osudu, Agaram, Koodapakkam Post, Villianur Commune, Puducherry, India.
Context:
Diabetes mellitus is a chronic metabolic disorder and has reached epidemic proportions in developing countries like India.
Aims:
Our study aimed to identify relationship between triglyceride glucose (TyG) index and related parameters with Indian diabetes risk score in non-diabetic individuals.
Settings And Design:
An analytical cross-sectional study was conducted in community at a primary healthcare centre attached to a medical college for six months from April 2022 to October 2022 after getting approval from institute ethical committee.
Methods And Material:
We conducted a cross-sectional study at a primary healthcare centre attached to the medical college for six months duration with a sample size of 107, aged ≥18 years, which included apparently healthy individuals not diagnosed with any type of diabetes. Indian diabetes risk score (IDRS) scale was calculated along with anthropometric measurements and biochemical laboratory investigations like fasting triglyceride and fasting blood glucose.
Results:
Our study population included 53.3% male and 46.7% female; the mean age of male was 29.70 ± 12.26 and female was 34.28 ± 11.91. The mean TyG index for male and female was 8.48 ± 0.45 and 8.39 ± 0.52, respectively. 52.3% of our study population belonged to high-risk category, and 47.7% belonged to moderate-risk category. We also found positive correlation between TyG index and its related parameters and IDRS score. In linear regression between IDRS and TyG index, we found positive correlation, and in logistic regression showed for every 1 unit rise in age, there was 1.28 times increase in IDRS score (P < 0.001). TyG-WHtR was superior to other TyG-related parameters in identifying high IDRS score (P < 0.001).
Conclusions:
TyG index and its related parameters can be used as a predictor in identifying diabetes mellitus along with IDRS score assessment in low-cost clinical settings like primary healthcare centre.
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