Evidence map›Paper›PMID 40589678›Full record

ArticleCureus2025

Unveiling Cardiovascular Risk Among Older Adults in Eastern India: A Community-Based Cross-Sectional Study.

Bijit Biswas, G Jahnavi, Hem Nandani Pathak, Anuradha Gautam, Richa Richa, Arshad Ayub, Pratima Gupta, Saurabh Varshney, Sudip Bhattacharya, Sunil Kumar Panigrahi and 1 more

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Bijit BiswasCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
G JahnaviCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Hem Nandani PathakCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Anuradha GautamCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Richa RichaCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Arshad AyubCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Pratima GuptaMicrobiology, All India Institute of Medical Sciences, Deoghar, IND.
Saurabh VarshneyOtolaryngology, All India Institute of Medical Sciences, Deoghar, IND.
Sudip BhattacharyaCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Sunil Kumar PanigrahiCommunity and Family Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Rajesh KumarGeneral Medicine, All India Institute of Medical Sciences, Deoghar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Cardiovascular disease (CVD) poses major public health challenges in low-resource settings like India, where it contributes significantly to premature mortality and morbidity. This study assessed 10-year CVD risk and its associated factors among community-dwelling older adults in Eastern India. Methods This cross-sectional study, conducted in rural and urban areas of Deoghar, Jharkhand, in 2023, assessed 477 adults (aged 40-74 years) using the World Health Organization/International Society of Hypertension (WHO/ISH) South Asian Region (SAR) non-laboratory risk chart. Multinomial logistic regression identified predictors of moderate-to-high CVD risk. Results Among participants, 75.8% had a low 10-year CVD risk (< 10%), 22.2% had moderate risk (10% to <20%), and 1.9% had high risk (≥20%). Predictors of moderate-to-high CVD risk (≥10%) identified through multinomial logistic regression included increasing age (adjusted odds ratio (AOR): 2.0; 95% confidence interval (CI): 1.8-2.3), male gender (AOR: 16.0; 2.4-106.3), lower per capita monthly income (PCMI) (AOR: 3.0; 1.0-8.9), family history of hypertension, diabetes, or heart disease (AOR: 5.7; 1.8-18.4), central obesity (AOR: 11.9; 3.5-40.9), and tobacco use (AOR: 8.2; 2.0-33.6). Regular physical activity (≥30 minutes/day) was a protective factor (AOR: 0.2; 0.1-0.8). The model accounted for 81.8% of the variability in cardiovascular risk outcomes. Conclusions About one-fourth of older adults were identified as having moderate-to-high 10-year CVD risk. Central obesity and tobacco use emerged as significant predictors, while regular physical activity offered protective benefits. Implementing targeted interventions to address modifiable risk factors is the need of the hour to mitigate CVD risk.

Indexed as

adultcardiovascular diseasesriskrural populationurban population

Identifiers

PMID40589678
PMCPMC12208513

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