Evidence map›Paper›PMID 40830777›Full record

ArticleBMC public health2025

Associated factors of anxiety and depressive symptoms among coal miners in Shanxi, China: a cross-sectional study.

Jiajun Hao, He Bai, Leying Hou, Wenhan Xiao, Jiali Zhou, Weidi Sun, Jingyi Wang, Peige Song, Therese Hesketh

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jiajun HaoCentre for Global Health, Zhejiang University School of Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China.
He BaiCentre for Global Health, Zhejiang University School of Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China.
Leying HouSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Wenhan XiaoSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jiali ZhouSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Weidi SunSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jingyi WangSchool of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, 446-2 Zhaojiabang Road, Shanghai, 200032, China. jingyi_wang@fudan.edu.cn.
Peige SongSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China. peigesong@zju.edu.cn.
Therese HeskethCentre for Global Health, Zhejiang University School of Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China. t.hesketh@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesCoal miners are exposed to a significant risk of anxiety and depression due to challenging work environment. However, there is a lack of studies comprehensively examining the associated factors of anxiety and depressive symptoms among coal miners. Our study aimed to identify these associated factors among Chinese coal miners in Shanxi Province.

methodsIn August and September 2022, a cross-sectional study was conducted using a cluster sampling method to enroll all workers from the L coal mines in Linfen City, China. Data were collected using a self-designed and administered online questionnaire, which included the Generalized Anxiety Disorder-7 (GAD-7) and the Center for Epidemiologic Studies Depression Scale 10-item (CESD-10) to assess anxiety and depressive symptoms, along with questions on sociodemographics, work-related factors, health status, and lifestyle factors. Logistic regression was used to identify associated factors for anxiety and depressive symptoms. Sensitivity analysis was conducted using linear regression.

resultsA total of 1,027 participants were included in the analysis. Among them, 278 (27.07%) exhibited anxiety symptoms, and 238 (23.17%) showed depressive symptoms. In the multivariable logistic regression, associated factors identified for both anxiety and depressive symptoms included having direct or indirect safety accident experience (adjusted odds ratio [aOR] for anxiety: 1.76, 95% confidence interval [CI]: 1.29 ~ 2.40; aOR for depression: 1.72, 95% CI: 1.25 ~ 2.38), presence of occupational diseases (aOR for anxiety: 4.00, 95% CI: 1.51 ~ 11.10; aOR for depression: 3.36, 95% CI: 1.25 ~ 9.23), self-reported non-optimal health status (aOR for anxiety: 1.68, 95% CI: 1.19 ~ 2.37; aOR for depression: 2.01, 95% CI: 1.41 ~ 2.85), current alcohol consumption (aOR for anxiety: 1.83, 95% CI: 1.27 ~ 2.66; aOR for depression: 1.64, 95% CI: 1.12 ~ 2.41), and sleep duration of less than 7 hours (aOR for anxiety: 1.84, 1.36 ~ 2.50; aOR for depression: 1.71, 95% CI: 1.25 ~ 2.36). In addition, working in a management position (aOR: 1.99, 95% CI: 1.02 ~ 3.96) was positively associated with anxiety symptoms.

conclusionsOur study identified key factors associated with anxiety and depressive symptoms among Chinese coal miners. Management was more likely to experience anxiety symptoms. These findings underscore the need for targeted mental health interventions within the coal mining industry to improve their well-being.

Indexed as

AnxietyCoal MiningDepressionMinersOccupational DiseasesAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsSurveys and QuestionnairesAnxiety symptomsAssociated factorsCoal minerDepressive symptomsMental health

Identifiers

PMID40830777
PMCPMC12362932

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LicenceCC BY-NC-ND
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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.