Evidence map›Paper›PMID 34868601›Full record

ArticleAnnals of occupational and environmental medicine2021

Association between metabolic syndrome and shift work in chemical plant workers.

Seong-Ryol Chai, Soon-Chan Kwon, Yong-Jin Lee, Eun-Chul Jang, Young-Sun Min, Su-Yeon Lee

Open access · goldAbstract read
In one paragraph

Article in Annals of occupational and environmental medicine, 2021. 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
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Seong-Ryol ChaiDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0001-7985-8533
Soon-Chan KwonDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0002-5782-6087
Yong-Jin LeeDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0001-6712-7696
Eun-Chul JangDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0002-8153-2134
Young-Sun MinDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0003-1508-0608
Su-Yeon LeeDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0002-3029-8229
Soonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study aimed to determine the association between shift work and metabolic syndrome and the prevalence of metabolic syndrome in the shift and day work groups among workers working in chemical plants.

methodsBased on medical examination data collected in February 2019, 3,794 workers working at a chemical plant in Korea were selected. Multiple logistic regression analysis was performed by adjusting for age, sex, body mass index (BMI), drinking, exercise, smoking, employment period and organic compounds exposure.

resultsThe prevalence of metabolic syndrome in the entire study group was 23.4%, and the prevalence and components of metabolic syndrome in shift worker; waist circumference were higher than those of day workers (84.77 ± 8.64 vs. 83.41 ± 9.42,

conclusionsShift work in chemical plant workers increased the risk of metabolic syndrome, even after adjusting for general factors. To analyze the occupational cause and risk control, it is necessary to analyze the hazardous substances the workers were exposed to and their working environment. Additionally, a large-scale prospective analysis including general factors not analyzed in this study, such as eating habits, is required.

Indexed as

Chemical plantMetabolic syndromeShift workWorkplace

Identifiers

PMID34868601
PMCPMC8602806
OpenAlexW3209384372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.