HOME   |    PDF   |   


Title

Linking hypertension and TyG-WC circumference index among Indian adults: A cross-sectional study

 

Authors

Arijita Banerjee1*, Shirin Dasgupta2 & Arindam Ghosh3

 

Affiliation

1Department of Physiology, Dr. B.C. Roy Multi-speciality Medical Research Centre, IIT Kharagpur, India; 2Department of Pathology, Dr. B.C. Roy Multi-speciality Medical Research Centre, IIT Kharagpur, India; 3Department of Biochemistry, Dr. B.C. Roy Multi-speciality Medical Research Centre, IIT Kharagpur, India; *Corresponding author

 

Email

Arijita Banerjee - E-mail: arijita@bcrmrc.iitkgp.ac.in
Shirin Dasgupta - E-mail: shirin@bcrmrc.iitkgp.ac.in
Arindam Ghosh - E-mail: arindam@bcrmrc.iitkgp.ac.in

 

Article Type

Research Article

 

Date

Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025

 

Abstract

Prediction of hypertension using indicators such as triglyceride-glucose - waist circumference (TyG-WC) index among Indian adults is gaining momentum in healthcare prognosis and diagnosis for adequate treatment. Therefore, it is of interest to evaluate the TyG-WC index as a non-invasive predictor of hypertension in Indian adults aged 18–45 years. Hence, a cross-sectional study was conducted involving 58 newly diagnosed hypertensive subjects and 72 healthy controls. Independent variables included weight, BMI, WC, TyG and TyG-WC, while hypertension served as the dependent variable, with adjustments for lifestyle and biochemical covariates. Logistic regression and ROC curve analyses were used to assess the association and predictive accuracy of these biomarkers for hypertension. The TyG-WC index demonstrated the strongest predictive power for hypertension (AUC = 0.678, 95% CI: 0.662–0.696, P < 0.001), indicating a significant correlation in young and middle-aged adults.

 

Keywords

Hypertension, diabetes, pre-diabetes, triglyceride indices, triglyceride-glucose indices

 

Citation

Banerjee et al. Bioinformation 21(12): 4318-4323 (2025)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.