Evidence map›Paper›PMID 34903529›Full record

ArticleBMJ open2021

Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status.

Ming-Shu Chen, Chi-Hao Chiu, Shih-Hsin Chen

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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  15. Factors Associated with Improved Knowledge of Metabolic Syndrome in Female Market Traders.International journal of environmental research and public health · 2022
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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

3 authors at 3 institutions in 1 country.

Ming-Shu ChenDepartment of Healthcare Administration, Asia Eastern University of Science and Technology, New Taipei City, Taiwan.ORCID 0000-0002-2713-3546
Chi-Hao ChiuMedical Affair, Far Eastern Memorial Hospital, New Taipei City, Taiwan.ORCID 0000-0002-6807-8387
Shih-Hsin ChenDepartment of Computer Science and Information, Tamkang University, New Taipei City, Taiwan shchen@csu.edu.tw.ORCID 0000-0001-5635-536X
Asia University · TWFar Eastern Memorial Hospital · TWTamkang University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine whether occupation type, distinguished by socioeconomic status (SES) and sedentary status, is associated with metabolic syndrome (MetS) risk.

methodsWe analysed two data sets covering 73 506 individuals. MetS was identified according to the criteria of the modified Adult Treatment Panel III. Eight occupational categories were considered: professionals, technical workers, managers, salespeople, service staff, administrative staff, manual labourers and taxi drivers; occupations were grouped into non-sedentary; sedentary, high-SES; and sedentary, non-high-SES occupations. A multiple logistic regression was used to determine significant risk factors for MetS in three age-stratified subgroups. R software for Windows (V.3.5.1) was used for all statistical analyses.

resultsMetS prevalence increased with age. Among participants aged ≤40 years, where MetS prevalence was low at 6.23%, having a non-sedentary occupation reduced MetS risk (OR=0.88, p<0.0295). Among participants aged >60 years, having a sedentary, high-SES occupation significantly increased (OR=1.39, p<0.0247) MetS risk.

conclusionsThe influence of occupation type on MetS risk differs among age groups. Non-sedentary occupations and sedentary, high-SES occupations decrease and increase MetS risk, respectively, among younger and older adults, respectively. Authorities should focus on individuals in sedentary, high-SES occupations.

Indexed as

Metabolic SyndromeAdultAgedHumansMiddle AgedOccupationsPrevalenceRisk AssessmentRisk FactorsSocial Classe.g. ironhealth informaticshealth policyother metabolicporphyriapublic healthrisk management

Identifiers

PMID34903529
PMCPMC8671945
OpenAlexW4200168302

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.