Evidence map›Paper›PMID 34845294›Full record

ArticleScientific reports2021

Working hours are closely associated with depressive mood and suicidal ideation in Korean adults: a nationwide cross-sectional study.

Sangsoo Han, Yujin Ko, Ji Eun Moon, Young Soon Cho

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines 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.

Sangsoo HanDepartment of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea.
Yujin KoDepartment of Psychiatry, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea.
Ji Eun MoonDepartment of Biostatistics, Clinical Trial Center, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea.
Young Soon ChoDepartment of Emergency Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, Republic of Korea. emer0717@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long working hours have been presumed to negatively influence health. However, evidence is lacking regarding any associations of working hours with depressive mood or suicidal ideation. We investigated the relationships of working hours with depressive mood and suicidal ideation in a representative sample of the Korean general population. We analyzed data collected by the Korea National Health and Nutrition Examination Surveys VI and VII (2013-2018). Depressive mood and suicidal ideation were identified through self-reporting. We divided participants into four groups according to weekly working hours: 30-40, 41-50, 51-60, and > 60 h/week. Sampling weights were applied to obtain estimates for the general Korean population. We analyzed 14,625 participants, of whom 5383 (36.8%), 4656 (31.8%), 2553 (17.5%), and 2033 (13.9%) worked 30-40, 41-50, 51-60, and > 60 h/week, respectively. In these groups, 3.6%, 4.4%, 5.2%, and 6.3% of the participants reported depressive mood, while 1.8%, 1.9%, 2.2%, and 3.6% reported suicidal ideation. In multiple regression analyses, compared with the 30-40 h/week group, the adjusted odds ratios of the 41-50, 51-60, and > 60 h/week groups for depressive mood were 1.35 (1.08-1.69), 1.5 (1.14-1.97), and 1.6 (1.19-2.14). A similar trend was evident for suicidal ideation (odds ratios 1.16 [0.82-1.63], 1.48 [0.99-2.21], and 2.29 [1.53-3.42]). Long working hours are significantly associated with depressive mood and suicidal ideation.

Indexed as

Suicidal IdeationWorkWork Schedule ToleranceAdultCross-Sectional StudiesDepressionFemaleHealth SurveysHumansMaleMiddle AgedOdds RatioRepublic of KoreaRisk FactorsSociodemographic FactorsTime Factors

Identifiers

PMID34845294
PMCPMC8630033

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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.