Evidence map›Paper›PMID 39228621›Full record

ArticleJournal of family medicine and primary care2024

Prevalence and influencing factors of metabolic syndrome among rural adult population in a district of South India.

P Swarna Latha, S Sangeetha, M Vijayakarthikeyan, R Shankar

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

P Swarna LathaPost Graduate, Department of Community Medicine, Vinayaka Missions Kirupananda Variyar Medical College and Hospitals, Vinayaka Mission Research Foundation (Deemed to be University), Salem, Tamil Nadu, India.
S SangeethaProfessor and Head, Department of Community Medicine, Vinayaka Missions Kirupananda Variyar Medical College and Hospitals, Vinayaka Mission Research Foundation (Deemed to be University), Salem, Tamil Nadu, India.
M VijayakarthikeyanAssistant Professor, Department of Community Medicine, Vinayaka Missions Kirupananda Variyar Medical College and Hospitals, Vinayaka Mission Research Foundation (Deemed to be University), Salem, Tamil Nadu, India.
R ShankarProfessor, Department of Community Medicine, Vinayaka Missions Kirupananda Variyar Medical College and Hospitals, Vinayaka Mission Research Foundation (Deemed to be University), Salem, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome has increased globally due to sedentary lifestyles, unhealthy diets and obesity, which is posing a substantial burden on healthcare systems. Understanding the determinants of metabolic syndrome like lifestyle factors, socioeconomic status and the environment are vital for devising effective prevention and management. Research into these determinants helps to identify high-risk populations and develop interventions to reduce its occurrence. Objectives: i. To estimate the prevalence of metabolic syndrome among the adult population. ii. To determine the factors associated with metabolic syndrome among the adult population. Methodology: A cross-sectional study was carried out among 410 adults (≥18 years). A semi-structured questionnaire was used to collect data and National Cholesterol Education Program's Adult Treatment Panel III criteria was used to diagnose metabolic syndrome. Continuous and categorical data were represented as mean and proportion, respectively. The strength of the association was determined using the prevalence ratio and adjusted prevalence ratio. Results: The mean age of the participants was 44.97 ± 14.7, about 58.3% of them were females. Metabolic syndrome prevalence was 39.8%. Multivariate regression analysis demonstrated that being over 40 years old, marital status, higher socioeconomic status, skilled workers, physical inactivity and obesity were independently linked to metabolic syndrome. Conclusions: The burden can be reduced by identifying the risk factors at the early stage through screening and by adopting a healthy lifestyle.

Indexed as

Dietlifestylenon-communicable diseaserisk factor

Identifiers

PMID39228621
PMCPMC11368259

What OpenQuestion holds

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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.