Evidence map›Paper›PMID 34104021›Full record

ArticleNature and science of sleep2021

Prevalence of Probable Shift Work Disorder in Non-Standard Work Schedules and Associations with Sleep, Health and Safety Outcomes: A Cross-Sectional Analysis.

Amy C Reynolds, Sally A Ferguson, Sarah L Appleton, Meagan E Crowther, Yohannes Adama Melaku, Tiffany K Gill, Shantha M W Rajaratnam, Robert J Adams

Open access · goldAbstract read
In one paragraph

Article in Nature and science of sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
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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

8 authors at 4 institutions in 1 country.

Amy C ReynoldsFlinders Health and Medical Research Institute (Sleep Health)/Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia.
Sally A FergusonAppleton Institute, CQ University Australia, Wayville, SA, Australia.ORCID 0000-0002-9682-7971
Sarah L AppletonFlinders Health and Medical Research Institute (Sleep Health)/Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0001-7292-9714
Meagan E CrowtherAppleton Institute, CQ University Australia, Wayville, SA, Australia.
Yohannes Adama MelakuFlinders Health and Medical Research Institute (Sleep Health)/Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0002-3051-7313
Tiffany K GillAdelaide Medical School, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-2822-2436
Shantha M W RajaratnamSchool of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia.ORCID 0000-0001-7527-8558
Robert J AdamsFlinders Health and Medical Research Institute (Sleep Health)/Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0002-7572-0796
Flinders University · AUCentral Queensland University · AUMonash University · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to estimate the prevalence of probable shift work disorder (pSWD) in a representative sample of Australian workers and identify sleep, health and safety correlates. PATIENTS AND

methodsIn 2019, data were collected from working respondents as part of a cross-sectional national sleep health survey conducted online (n=964 total; n=448 individuals on non-standard work schedules). We established the prevalence of pSWD according to International Classification of Sleep Disorders criteria (ICSD-R, ICSD-2 and ICSD-3). Poisson regression was used to determine crude and adjusted prevalence association (prevalence ratio, PR) of pSWD with sleep, health and safety outcomes.

resultsOverall prevalence of pSWD in workers on non-standard work schedules was 10.5%, ranging from 9.6% in early morning workers to 12.7% in rotating shift workers. In adjusted models, workers who met the criteria for pSWD were 1.8 times more likely to report both depression/bipolar disorder, and anxiety/panic disorder, and 1.7 times more likely to report work errors due to a sleep problem.

conclusionThe prevalence of pSWD in employees engaged in non-standard work schedules is influenced by selection of factors used to quantify pSWD, including sleep/wake patterns. Higher likelihoods of mental health problems and workplace errors in those with pSWD highlight the importance of intervention and management of this under-recognised sleep disorder.

Indexed as

mental healthoccupational healthsafetysleepsleep disorderworkplace

Identifiers

PMID34104021
PMCPMC8178694
OpenAlexW3168519115

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.