Evidence map›Paper›PMID 31283784›Full record

Trial reportPloS one2019

Association between socioeconomic position and cardiovascular disease risk factors in rural north India: The Solan Surveillance Study.

Anubha Agarwal, Devraj Jindal, Vamadevan S Ajay, Dimple Kondal, Siddhartha Mandal, Shreeparna Ghosh, Mumtaj Ali, Kavita Singh, Mark D Huffman, Nikhil Tandon and 1 more

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Anubha AgarwalDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.ORCID 0000-0002-7090-5601
Devraj JindalCentre for Chronic Disease Control, New Delhi, Delhi, India.
Vamadevan S AjayCentre for Chronic Disease Control, New Delhi, Delhi, India.
Dimple KondalCentre for Chronic Disease Control, New Delhi, Delhi, India.
Siddhartha MandalCentre for Chronic Disease Control, New Delhi, Delhi, India.
Shreeparna GhoshCentre for Chronic Disease Control, New Delhi, Delhi, India.
Mumtaj AliCentre for Chronic Disease Control, New Delhi, Delhi, India.
Kavita SinghCentre for Chronic Disease Control, New Delhi, Delhi, India.
Mark D HuffmanDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
Nikhil TandonPublic Health Foundation of India, Gurugram, Haryana, India.
Dorairaj PrabhakaranCentre for Chronic Disease Control, New Delhi, Delhi, India.
Centre for Chronic Disease Control · INNorthwestern University · USAll India Institute of Medical Sciences · IN

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
FIC NIH HHS D43 TW010543NHLBI NIH HHS HHSN268200900026C
6 · The paper itself

Abstract

backgroundAlthough most Indians live in rural settings, data on cardiovascular disease risk factors in these groups are limited. We describe the association between socioeconomic position and cardiovascular disease risk factors in a large rural population in north India.

methodsWe performed representative, community-based sampling from 2013 to 2014 of Solan district in Himachal Pradesh. We used education, occupation, household income, and household assets as indicators of socioeconomic position. We used tobacco use, alcohol use, low physical activity, obesity, hypertension, and diabetes as risk factors for cardiovascular disease. We performed hierarchical multivariable logistic regression, adjusting for age, sex and clustering of the health sub-centers, to evaluate the cross-sectional association of socioeconomic position indicators and cardiovascular disease risk factors.

resultsAmong 38,457 participants, mean (SD) age was 42.7 (15.9) years, and 57% were women. The odds of tobacco use was lowest in participants with graduate school and above education (adjusted OR 0.11, 95% CI 0.09, 0.13), household income >15,000 INR (adjusted OR 0.35, 95% CI 0.29, 0.43), and highest quartile of assets (adjusted OR 0.28, 95% CI 0.24, 0.34) compared with other groups but not occupation (skilled worker adjusted OR 0.93, 95% CI 0.74, 1.16). Alcohol use was lower among individuals in the higher quartile of income (adjusted OR 0.75, 95% CI 0.64, 0.88) and assets (adjusted OR 0.70, 95% CI 0.59, 0.82). The odds of obesity was highest in participants with graduate school and above education (adjusted OR 2.33, 95% CI 1.85, 2.94), household income > 15,000 Indian rupees (adjusted OR 1.89, 95% CI 1.63, 2.19), and highest quartile of household assets (adjusted OR 2.87, 95% CI 2.39, 3.45). The odds of prevalent hypertension and diabetes were also generally higher among individuals with higher socioeconomic position.

conclusionsIndividuals with lower socioeconomic position in Himachal Pradesh were more likely to have abnormal behavioral risk factors, and individuals with higher socioeconomic position were more likely to have abnormal clinical risk factors.

Indexed as

Rural PopulationAdultAgedAge FactorsDiabetes MellitusFemaleHumansHypertensionIndiaMaleMiddle AgedPrevalenceRisk FactorsSocioeconomic Factors

Identifiers

PMID31283784
PMCPMC6613705
OpenAlexW2959865840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.