HOME   |    PDF   |   


Title

Ethnicity and risk factors among Indian coronary artery disease patients

 

Authors

Monika Sah1, SAA Latheef2 & P. Venkataramana1,*

 

Affiliation

1Discipline of Anthropology, School of Social Sciences, Indira Gandhi National Open University, Maidan Garhi, New Delhi-110068, India; 2Department of Genetics, Osmania University, Hyderabad, India; *Corresponding author

 

Email

Monika Sah - E-mail: Monika13meet@gmail.com

SAA Latheef - E-mail:yakheen@gmail.com

P Venkatramana - E-mail: pvenkatramana@ignou.ac.in

 

Article Type

Research Article

 

Date

Received January 1, 2023; Revised January 30, 2023; Accepted January 31, 2023, Published January 31, 2023

 

Abstract

In this study, an attempt was made to investigate the distribution of coronary risk factors in male patients with coronary artery disease (CAD)(n=50 each) belonging to Jaat and Vaishya castes. A Significantly higher average height, waist and hip circumferences, glucose, and waist-height ratio were observed in Jaats compared to the Vaishyas (p=0.000). Mean BMI, total cholesterol (total-C) and non-high density lipoprotein cholesterol (HDL-C), and lean body mass index (LBMI) were significantly higher in Vaishyas against Jaats (p=0.00). A significantly higher percentage of type 2 diabetes(T2DM) (p=0.03) and isolated hypertriglyceridemia(p=0.01) was observed in Jaats against Vaishya men. Percentage of general obesity(p=0.01), high total-C, high low density lipoprotein cholesterol (LDL-C) (p=0.00), high total-C/HDL-C(p=0.04), combined positive family history of hypertension and type 2 diabetes, and general obesity, was significantly higher in Vaishya when compared to Jaat men. In univariate logistic regression analyses, a significant association of T2DM (p=0.039) and isolated hypertriglyceridemia (p=0.020) with Jaat ethnic group and general obesity, high total-C, high LDL-C, and high total-C/HDL-C with Vaishya ethnic group was observed. Results of the present study suggest that a population-specific than a global approach should be used in identifying high-risk groups and designing of interventions to reduce the complications and management of CAD.

 

Keywords

Coronary artery disease, heart disease risk factors, social class

 

Citation

     Sah et al. Bioinformation 19(1): 19-23 (2023)

      

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.