Evidence map›Paper›PMID 38346110›Full record

ArticleOccupational medicine (Oxford, England)2024

Impacts of workplace verbal aggression classified via text mining on workers' mental health.

Y Nishimura, S Matsumoto, T Sasaki, T Kubo

Abstract read
In one paragraph

Article in Occupational medicine (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Y NishimuraOccupational Stress and Health Management Research Group, National Institute of Occupational Safety and Health, Kawasaki, Japan.ORCID 0000-0002-4172-0472
S MatsumotoOccupational Stress and Health Management Research Group, National Institute of Occupational Safety and Health, Kawasaki, Japan.
T SasakiOccupational Stress and Health Management Research Group, National Institute of Occupational Safety and Health, Kawasaki, Japan.
T KuboOccupational Stress and Health Management Research Group, National Institute of Occupational Safety and Health, Kawasaki, Japan.ORCID 0000-0001-9127-9286

Funding

National Institute of Occupational Safety and Health N-F02-04
6 · The paper itself

Abstract

backgroundExposure to workplace aggression adversely affects workers' health; however, little is known regarding the impact of specific types of verbal content.

aimsWe aimed to examine the relationship between exposure to several types of aggressive words at work and the victim's depressive symptoms and sleep disturbance using text mining.

methodsWe conducted a longitudinal survey with 800 workers in wholesale and retail companies; of which, 500 responded to the follow-up survey. The Centre for Epidemiologic Studies-Depression Scale and Pittsburgh Sleep Quality Index were filled out by the participants, and their responses were analysed by logistic regression to evaluate the risk of depression or sleep problems. We collected exact aggressive words encountered at work over the past year as a dependent variable and classified it into four types using text mining, such as words criticizing one's performance.

resultsThe follow-up rate was 63%. Exposure to words threatening one's life showed a significant relationship with the risk of depression (odds ratio [OR] = 13.94, 95% confidence interval [CI] = 1.76-110.56). The exposure to words criticizing one's job performance is significantly related to the risk of sleep disturbance (OR = 5.56, 95% CI = 2.08-14.88).

conclusionsThese findings suggest that different contents of verbal aggression can have different impacts on workers' health. This indicates that not only overtly threatening and abusive language but also words related to one's performance can be a risk factor for workers, depending on how they are delivered. To mitigate the adverse effects, promoting effective communication and cultivating psychological detachment from work may be beneficial.

Indexed as

Mental HealthSleep Wake DisordersAggressionData MiningHumansSurveys and QuestionnairesWorkplace

Identifiers

PMID38346110
PMCPMC10990467

What OpenQuestion holds

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LicenceCC BY
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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.