Evidence map›Paper›PMID 22952886›Full record

ArticlePloS one2012

Association of educational, occupational and socioeconomic status with cardiovascular risk factors in Asian Indians: a cross-sectional study.

Rajeev Gupta, Prakash C Deedwania, Krishnakumar Sharma, Arvind Gupta, Soneil Guptha, Vijay Achari, Arthur J Asirvatham, Anil Bhansali, Balkishan Gupta, Sunil Gupta and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
11.9field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 134 citations in OpenAlex.

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  12. Sestrin2 serves as a scaffold protein to maintain cardiac energy and metabolic homeostasis during pathological stress.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
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  16. Does the place of residence influence your risk of being hypertensive? A study-based on Nepal Demographic and Health Survey.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
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4 more citing papers are in PubMed but not listed here.

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

16 authors at 11 institutions in 2 countries.

Rajeev GuptaDepartment of Medicine, Fortis Escorts Hospital, Jaipur, Rajasthan, India. rajeevg@satyam.net.in
Prakash C Deedwania
Krishnakumar Sharma
Arvind Gupta
Soneil Guptha
Vijay Achari
Arthur J Asirvatham
Anil Bhansali
Balkishan Gupta
Sunil Gupta
Mallikarjuna V Jali
Tulika G Mahanta
Anuj Maheshwari
Banshi Saboo
Jitendra Singh
Rajiv Gupta
Fortis Escorts Hospital · INBabu Banarasi Das University · INPatna Medical College and Hospital · INSardar Patel Medical College · INUniversity of California, San Francisco · USArthur Asirvatham Hospital · INDiabetes Care and Research Foundation · INDiabetes Care & Hormone Clinic · INGovernment Medical College · INJawaharlal Nehru Medical College · INRajasthan Police Academy · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine correlation of multiple parameters of socioeconomic status with cardiovascular risk factors in India.

methodsThe study was performed at eleven cities using cluster sampling. Subjects (n = 6198, men 3426, women 2772) were evaluated for socioeconomic, demographic, biophysical and biochemical factors. They were classified into low, medium and high socioeconomic groups based on educational level (<10, 10-15 and >15 yr formal education), occupational class and socioeconomic scale. Risk factor differences were evaluated using multivariate logistic regression.

resultsAge-adjusted prevalence (%) of risk factors in men and women was overweight or obesity in 41.1 and 45.2, obesity 8.3 and 15.8, high waist circumference 35.7 and 57.5, high waist-hip ratio 69.0 and 83.8, hypertension 32.5 and 30.4, hypercholesterolemia 24.8 and 25.3, low HDL cholesterol 34.1 and 35.1, high triglycerides 41.2 and 31.5, diabetes 16.7 and 14.4 and metabolic syndrome in 32.2 and 40.4 percent. Lifestyle factors were smoking 12.0 and 0.5, other tobacco use 12.7 and 6.3, high fat intake 51.2 and 48.2, low fruits/vegetables intake 25.3 and 28.9, and physical inactivity in 38.8 and 46.1%. Prevalence of > = 3 risk factors was significantly greater in low (28.0%) vs. middle (23.9%) or high (22.1%) educational groups (p<0.01). In low vs. high educational groups there was greater prevalence of high waist-hip ratio (odds ratio 2.18, confidence interval 1.65-2.71), low HDL cholesterol (1.51, 1.27-1.80), hypertriglyceridemia (1.16, 0.99-1.37), smoking/tobacco use (3.27, 2.66-4.01), and low physical activity (1.15, 0.97-1.37); and lower prevalence of high fat diet (0.47, 0.38-0.57),overweight/obesity (0.68, 0.58-0.80) and hypercholesterolemia (0.79, 0.66-0.94). Similar associations were observed with occupational and socioeconomic status.

conclusionsLow educational, occupational and socioeconomic status Asian Indians have greater prevalence of truncal obesity, low HDL cholesterol, hypertriglyceridemia, smoking or tobacco use and low physical activity and clustering of > = 3 major cardiovascular risk factors.

Indexed as

Social ClassAdultAgedAsian PeopleCardiovascular DiseasesCohort StudiesCross-Sectional StudiesDemographyEducational StatusFemaleHumansIndiaLife StyleMaleMiddle AgedOccupations

Identifiers

PMID22952886
PMCPMC3430674
OpenAlexW2081997284

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.