A Study on the Assessment of Cardiovascular Risk Using WHO CVD Risk Prediction Chart Among Indian Diabetes Population: Using NFHS-5 (2019-21) Secondary Dataset

ShodhPatra: International Journal of Science and Humanities

ShodhPatra: International Journal of Science and Humanities

Open Access, Multidisciplinary, Peer-reviewed, Monthly Journal

Call For Paper - Volume - 2 Issue - 11 (November 2025)

DOI: 10.70558/SPIJSH

Follows UGC Care Guidelines

Article Title

A Study on the Assessment of Cardiovascular Risk Using WHO CVD Risk Prediction Chart Among Indian Diabetes Population: Using NFHS-5 (2019-21) Secondary Dataset

Author(s) Sandipan Paul, Dulumoni Das.
Country India
Abstract

Cardiovascular disease (CVD) is a major complication among individuals with diabetes, yet population-level evidence in India remains limited. Assesses 10-year CVD risk among adult men and women with diabetes using WHO laboratory- and non-laboratory-based risk prediction charts and nationally representative NFHS-5 data (2019-21). Results highlight that age, education, wealth, and regional factors significantly influence risk, with females generally exhibiting lower absolute risk but higher socio-economic vulnerability. Caste differences are minimal, while sector (urban-rural) effects vary by gender. Findings underscore importance of early detection, gender-sensitive screening, region-specific interventions, and integration of WHO risk tools into public health programs to reduce premature CVD mortality in India. Keywords:- CVD, Diabetes Mellitus, WHO Risk Score, Public health, Indian Population.

Area Statistics
Issue Volume 2, Issue 10 (October 2025)
Published 10-10-2025
How to Cite Paul, S., & Das, D. (2025). A Study on the Assessment of Cardiovascular Risk Using WHO CVD Risk Prediction Chart Among Indian Diabetes Population: Using NFHS-5 (2019-21) Secondary Dataset. ShodhPatra: International Journal of Science and Humanities, 2(10), 74-87, DOI: https://doi.org/10.70558/SPIJSH.2025.v2.i10.45366.
DOI 10.70558/SPIJSH.2025.v2.i10.45366

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