Evidence map›Paper›PMID 42634639›Full record

ArticleAnnals of occupational and environmental medicine2026

Association between shift work patterns and the incidence of prediabetes and diabetes among night shift workers: a retrospective cohort study.

Hyundong Lee, Changil Shin, Minsun Kang, Jae Bum Park, Inchul Jeong, Jaehyuk Jung

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Article in Annals of occupational and environmental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Hyundong LeeDepartment of Occupational and Environmental Medicine, Ajou University Hospital, Suwon, Korea.
Changil ShinDepartment of Occupational and Environmental Medicine, Ajou University Hospital, Suwon, Korea.
Minsun KangDepartment of Occupational and Environmental Medicine, Ajou University School of Medicine, Suwon, Korea.
Jae Bum ParkDepartment of Occupational and Environmental Medicine, Ajou University Hospital, Suwon, Korea.
Inchul JeongDepartment of Occupational and Environmental Medicine, Ajou University Hospital, Suwon, Korea.
Jaehyuk JungDepartment of Occupational and Environmental Medicine, Ajou University Hospital, Suwon, Korea. 109449@aumc.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediabetes and diabetes represent major public health challenges, and shift work has been identified as a significant occupational risk factor. While two-shift systems are gaining preference over conventional three-shift systems, evidence comparing their risks for diabetes and prediabetes remains limited. We aimed to evaluate the risk of developing prediabetes and diabetes according to shift work patterns among night shift workers.

methodsThis retrospective cohort study analyzed 14,879 night shift workers at a tertiary hospital in Korea (2016-2022). Participants were classified into two- and three-shift patterns. Incident diabetes and prediabetes were identified based on fasting blood glucose and hemoglobin A1c levels, diagnosis, or medication use. Data were censored at shift change, diagnosis, loss to follow-up, or the end of the study. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for demographics, lifestyle, body mass index, and occupational characteristics including working hours, consecutive night shifts, quick returns, and shift duration.

resultsThe two-shift group showed significantly higher incidence rates of diabetes and prediabetes than the three-shift group. After adjusting for covariates, two-shift work remained an independent risk factor for diabetes (adjusted HR: 1.43; 95% CI: 1.10-1.87) and prediabetes (adjusted HR: 1.34; 95% CI: 1.20-1.48). Stratified analyses indicated that the increased risk of diabetes associated with two-shift work was prominent in participants working 40 hours and 41-51 hours per week, whereas the association was not significant in those working ≥52 hours.

conclusionsTwo-shift work was associated with a significantly higher risk of diabetes and prediabetes compared with three-shift work. Our findings highlight the need to consider specific shift schedules and their potential health effects when designing or selecting workforce systems, rather than focusing solely on productivity or preference.

Indexed as

Diabetes mellitus, type 2Night shift workOccupational healthPrediabetic stateShift work schedule

Identifiers

PMID42634639
PMCPMC13648134

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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.