Evidence map›Paper›PMID 34564732›Full record

ArticleInternational archives of occupational and environmental health2022

Overtime working patterns and adverse events in work-related suicide cases: hierarchical cluster analysis of national compensation data in Japan (fiscal year 2015-2016).

Yuki Nishimura, Takashi Yamauchi, Takeshi Sasaki, Toru Yoshikawa, Masaya Takahashi

Abstract read
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Article in International archives of occupational and environmental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuki NishimuraResearch Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Japan Organization of Occupational Health and Safety, 6-21-1 Nagao, Tama-ku, Kawasaki, 214-8585, Japan. nishimura@h.jniosh.johas.go.jp.ORCID 0000-0002-4172-0472
Takashi YamauchiDepartment of Public Health and Environmental Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID 0000-0001-5295-4082
Takeshi SasakiResearch Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Japan Organization of Occupational Health and Safety, 6-21-1 Nagao, Tama-ku, Kawasaki, 214-8585, Japan.
Toru YoshikawaResearch Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Japan Organization of Occupational Health and Safety, 6-21-1 Nagao, Tama-ku, Kawasaki, 214-8585, Japan.ORCID 0000-0003-0383-1814
Masaya TakahashiResearch Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Japan Organization of Occupational Health and Safety, 6-21-1 Nagao, Tama-ku, Kawasaki, 214-8585, Japan.ORCID 0000-0003-1398-4347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough various work-related adverse events affect workers' mental health, the association between long working hours and mental disorders remains unclear. We investigated the characteristics of overtime work and work-related adverse events among all cases of compensated work-related suicide in Japan to empirically reveal the context of the serious consequences.

methodsWe analysed all 167 cases of mental disorders resulting in suicide that were compensated in fiscal year 2015-2016. Hierarchical clustering was applied to the overtime working history. Work-related adverse events were also evaluated as the qualitative aspects of their jobs.

resultsMore than half of the cases committed suicide within a month of developing a mental disorder. The Administrative and professional or engineering workers had a higher suicide rate. The clustering analysis revealed chronic long working hours (19%), gradual increase (27%), or rapid increase (25%) in working hours before the onset of a mental disorder. A group of cases with less overwork experienced more interpersonal conflicts.

conclusionThis is the first study to employ a clustering technique to objectively reveal the actual working patterns behind suicide. The patterns of working overtime before the onset of mental disorders varied considerably among the cases. Taking the transition of working overtime into account may provide clearer insight into the relationship between long working hours and workers' mental health. These results highlight the need for countermeasures especially for causes of chronic overworking, drastic increases in working hours, and interpersonal conflicts to prevent work-related suicide.

Indexed as

Occupational HealthSuicideCluster AnalysisHumansJapanWork Schedule ToleranceCluster analysisJapanKarojisatsuKaroshiMental healthSuicideWorking overtime

Identifiers

PMID34564732
PMCPMC9038865

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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.