Associations of Shift Work Patterns With Work-Related Accidents and Dozing Off: Combining Objective Working-Time Registers and Retrospective Questionnaire Data

Q: What type of study is this?

This is a Cohort Study study (also classified as: Quantitative Study).

Bjarte Birkeland Kysnes; Anette Harris; Siri Waage; Erlend Sunde; Ingebjørg Louise Rockwell Djupedal; Ståle Pallesen; Bjørn Bjorvatn; Øystein Vedaa

doi:10.1055/s-0045-1812748

October 1, 2025Sleep ScienceOpen Access

Associations of Shift Work Patterns With Work-Related Accidents and Dozing Off: Combining Objective Working-Time Registers and Retrospective Questionnaire Data

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Key Points

Increased work-related accidents and dozing off are associated with specific shift work patterns, indicating higher workplace risks.
Participants who reported shift work had a significant number of work-related accidents and incidents of dozing off while commuting.
Analysis combined objective working-time registers with retrospective questionnaire data to assess the impact of shift characteristics.
Findings highlight the need for workplace interventions to reduce accidents among shift workers, addressing their heightened risk.

Implication

Observational analysis reveals a link between shift work patterns and increased work-related accidents, suggesting higher risks of dozing off.

Abstract

Introduction: The present study examined associations between different work shift characteristics and self-reported work-related accidents as well as incidents of dozing off at work and while driving to or from work.

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Cite This Study

Kysnes et al. (2025) studied this question.

synapsesocial.com/papers/68e861857ef2f04ca37e3948 https://doi.org/10.1055/s-0045-1812748

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Associations of Shift Work Patterns With Work-Related Accidents and Dozing Off: Combining Objective Working-Time Registers and Retrospective Questionnaire Data

Key Points

Implication

Abstract

Discussion

Cite This Study

Associations of Shift Work Patterns With Work-Related Accidents and Dozing Off: Combining Objective Working-Time Registers and Retrospective Questionnaire Data

Key Points

Implication

Abstract

Discussion

Cite This Study

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