Evidence map›Paper›PMID 40136851›Full record

ArticleClocks & sleep2025

Identifying Risk and Protective Factors for Shift Work Sleep Disorder: Insights from UK Biobank Night Shift Workers.

Jürgen Degenfellner, Susanne Strohmaier, Magdalena Zebrowska, Ingvild Saksvik-Lehouillier, Eva Schernhammer

Abstract read
In one paragraph

Article in Clocks & sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Jürgen DegenfellnerDepartment of Epidemiology, Center of Public Health, Medical University of Vienna, 1090 Vienna, Austria.
Susanne StrohmaierDepartment of Epidemiology, Center of Public Health, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-9387-2056
Magdalena ZebrowskaDepartment of Epidemiology, Center of Public Health, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-0589-4173
Ingvild Saksvik-LehouillierDepartment of Psychology, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.ORCID 0000-0002-1953-7364
Eva SchernhammerDepartment of Epidemiology, Center of Public Health, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-4337-9415

Funding

European Research Council (ERC) under the European Union's Horizon 2020 research and inno-vation program 101053225
6 · The paper itself

Abstract

Shift Work Sleep Disorder (SWSD) is a significant and highly prevalent condition affecting up to 48% of individuals with irregular work schedules. The diagnostic criteria for SWSD include persistent insomnia or sleepiness in relation to shift work, not attributable to other disorders or external factors. To explore risk factors of SWSD, we conducted a cross-sectional analysis among 10,787 night shift workers in the UK Biobank. To determine correlates of SWSD using multivariable-adjusted logistic regression models, a preselection of potential risk factors was made on the basis of previous literature. Self-identifying as 'Asian or Asian British' or 'Black or Black British' (compared to being 'White'), male sex, and high scores on sociability, warmth and diligence were associated with lower odds for SWSD. We did not find significant associations of chronotype, frequency of alcohol intake, smoking, and time employed in current job with SWSD. These findings underscore the need for targeted interventions and workplace policies to mitigate the adverse effects of SWSD. Future research should aim to explore the mechanisms behind these associations and develop strategies to enhance shift work tolerance among night shift workers.

Indexed as

insomniashift workshift work tolerancesleep disorder

Identifiers

PMID40136851
PMCPMC11941026

What OpenQuestion holds

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LicenceCC BY
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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.