Evidence map›Paper›PMID 34754456›Full record

ArticleAnnals of occupational and environmental medicine2020

Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey.

Hongsuk Choi, Sungho Lee, Man-Joong Jeon, Young-Sun Min

Abstract read
In one paragraph

Article in Annals of occupational and environmental medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Hongsuk ChoiDepartment of Occupational and Environmental Medicine, Dongguk University Gyeongju Hospital, Gyeongju, Korea.ORCID https://orcid.org/0000-0001-7694-089X
Sungho LeeDepartment of Occupational and Environmental Medicine, Dongguk University Gyeongju Hospital, Gyeongju, Korea.ORCID https://orcid.org/0000-0002-7082-5847
Man-Joong JeonDepartment of Occupational and Environmental Medicine, Dongguk University Gyeongju Hospital, Gyeongju, Korea.ORCID https://orcid.org/0000-0001-8255-6202
Young-Sun MinDepartment of Occupational and Environmental Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.ORCID https://orcid.org/0000-0003-1508-0608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have investigated the relationship between long work hours and sleep disorders; however, they have focused on shift workers or specific workers who are at high risk of industrial accidents rather than wage workers in general. The purpose of this study is to investigate the effects of long work hours on sleep disorders among non-shift daytime wage workers.

methodsWe conducted a secondary analysis of data from the 5th Korean Working Conditions Survey. From the 50,205 total participants, we included 26,522 non-shift daytime wage workers after excluding self-employed people, business owners, unpaid family employees, and wage workers who work nights and shifts. Sleep disorders were categorized into "difficulty in falling asleep," "frequent waking," and "waking up with fatigue." Logistic regression analysis was used to evaluate the influence of long work hours on sleep disorders, and the odds ratios (ORs) were calculated.

resultsThe OR of working > 52 hours per week was 1.183 (95% confidence interval [CI]: 1.002-1.394) for the risk of developing insomnia compared with working ≤ 40 hours per week. The OR of waking up with fatigue was 1.531 (95% CI: 1.302-1.801). Long work hours showed no significant relationship with difficulty in falling asleep or with frequent waking.

conclusionsWorking for extended hours was associated with increased fatigue upon waking in non-shift daytime wage workers.

Indexed as

FatigueKWCSLong work hoursNon-shift workersSleep disordersWage workers

Identifiers

PMID34754456
PMCPMC7779839

What OpenQuestion holds

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LicenceCC BY-NC
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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.