Evidence map›Paper›PMID 30134584›Full record

ArticleInternational journal of environmental research and public health2018

Differences in Metabolic Syndrome Prevalence by Employment Type and Sex.

Duk Youn Cho, Jung-Wan Koo

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
10.7field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 42 citations in OpenAlex.

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  15. Association between metabolic syndrome and work: an integrative review of the literature.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT · 2020
    Review
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  19. Burnout and Metabolic Syndrome in Female Nurses: An Observational Study.International journal of environmental research and public health · 2019
    Observational
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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

2 authors at 2 institutions in 1 country.

Duk Youn ChoDepartment of Rehabilitation and Assistive Technology, Korea National Rehabilitation Center, Seoul 01022, Korea. guylian77@gmail.com.ORCID 0000-0002-7115-8118
Jung-Wan KooDepartment of Occupational and Environmental Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea. jwkoo@catholic.ac.kr.
National Rehabilitation Center · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Workers may sometimes do the same work, but differ in their risk of health-related problems depending on whether the employment type is standard or non-standard. Furthermore, even with similar job and employment types, there may be differences in risk factors for health-related problems depending on sex. This study aimed to determine the prevalence of metabolic syndrome (MetS) by employment type and sex using data from the Fifth Korean National Health and Nutrition Examination Survey (KNHANES Ⅴ) (2010⁻2012) and KNHANES Ⅵ (2013⁻2015) conducted by the Korea Centers for Disease Control and Prevention. Overall, 9523 adult wage workers (5523 standard workers and 4000 non-standard workers) aged ≥ 19 years were analyzed. To determine MetS prevalence odds ratios according to employment type, logistic regression analysis was performed disaggregated by sex. The prevalence of MetS significantly increased with age (

Indexed as

AdultAgedAlcohol DrinkingEmploymentFemaleHumansMaleMetabolic SyndromeMiddle AgedNutrition SurveysOdds RatioPrevalenceRepublic of KoreaRisk FactorsSalaries and Fringe BenefitsSex DistributionKorean workersmetabolic syndromenon-standard worksexsocioeconomic status

Identifiers

PMID30134584
PMCPMC6165279
OpenAlexW2888219662

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.