Evidence map›Paper›PMID 39144152›Full record

ArticleAnnals of occupational and environmental medicine2024

The association of shift work and TyG index among male workers in a chemical plant of Korea: a cross-sectional study.

Gwangin Baek, Yong-Jin Lee, Soon-Chan Kwon, Young-Sun Min, Jisuk Yun, Tae Jin Ahn, Eun-Chul Jang

Abstract read
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Article in Annals of occupational and environmental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Gwangin BaekDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0001-6457-7210
Yong-Jin LeeDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0001-6712-7696
Soon-Chan KwonDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0002-5782-6087
Young-Sun MinDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0003-1508-0608
Jisuk YunDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0003-2526-104X
Tae Jin AhnDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0009-0007-1110-5560
Eun-Chul JangDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0002-8153-2134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Disturbance of circadian rhythms caused by shift work has adverse effects on insulin resistance. Many previous studies have confirmed that shift work and insulin resistance are related using homeostasis model assessment-insulin resistance, one of the insulin resistance indicators. However, the triglycerides and glucose index (TyG index) has recently been studied as an insulin resistance indicator. The aim of this study is to investigate the association of shift work and TyG index, one of the indirect indicators of insulin resistance, using results of health checkups in one workplace. Methods: Based on medical examination data collected in February 2019, a total of 3,794 subjects from one chemical plant in Korea were selected for this study. Cut-off value of TyG index for predicting development of diabetes mellitus (DM) was 4.69. A multiple logistic regression analysis was performed after adjusting for age, employment period, obesity, abdominal obesity, smoking, drinking, physical activity, hypertension, stroke, heart disease. Results: As a result of logistic regression analysis, compared to day workers, odds ratio (OR) with a TyG index above cut-off value for predicting development of DM in shift workers was 1.220 after adjusting for age, employment period, obesity, abdominal obesity, smoking, drinking, physical activity, hypertension, stroke, heart disease (Model 1, OR: 1.276; 95% confidence interval [CI]: 1.099-1.482; Model 2, OR: 1.232; 95% CI: 1.055-1.438; Model 3, OR: 1.220, 95% CI: 1.030-1.444). Conclusions: There was a significant association between shift work and TyG index among male workers in a chemical plant. More research studies on the association between shift work and TyG index are needed in the future.

Indexed as

Insulin resistanceShift workTriglycerides and glucose index (TyG index)

Identifiers

PMID39144152
PMCPMC11322566

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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.