Evidence map›Paper›PMID 41969693›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine2026

Extent and Predictors of Metabolic Syndrome in Rural Adults of Varanasi, India.

Madan M Majhi, Priya Keshari, Chandra P Mishra, Surendra P Mishra

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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

4 authors.

Madan M MajhiDepartment of Community Medicine, SCB Medical College, Cuttack, Odisha, India.
Priya KeshariDepartment of Family and Community Sciences, Faculty of Science, University of Allahabad, Prayagraj, Uttar Pradesh, India.
Chandra P MishraDepartment of Community Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Surendra P MishraDepartment of Biochemistry, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a precursor of noncommunicable diseases (NCDs). Due to changing lifestyle in rural areas, there is likely to be upsurge in NCDs with its potential threat in rural areas. Objective: To assess prevalence and predictors of MetS in rural adults. Methods: This study included 240 rural adults (30-59 years) by adopting cross-sectional study design; a multistage sampling procedure was used for selection of subjects. Socioeconomic profile, energy intake and expenditure assessment, blood pressure, anthropometric measurement, biochemical parameters, and body fat analysis were done through a standard procedure. Bivariate and logistic regression analyses were applied for inferential purpose. Results: The prevalence of MetS was 30.4%. The significant predictors of MetS were age, gender, family history of disease(s), highest education in the family, waist circumference, and addiction. The adjusted odds ratio for MetS for subjects characterized as high risk on the basis of waste circumference was 11.11 (95% CI: 4.25-29.07). Conclusion: Three out of 10 subjects had MetS. The predictors of MetS emphasize focusing on waist circumference for monitoring of MetS and life style modification for its risk reduction.

Indexed as

Body fat percentageenergy balancelife style modificationmetabolic syndromenon-communicable diseaseswaist circumference

Identifiers

PMID41969693
PMCPMC13068408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.