Evidence map›Paper›PMID 40450257›Full record

ArticleBMC medical education2025

The relationship between job burnout and presenteeism among Chinese primary public health physicians: a moderated mediation model.

Xinru Kong, Miaomiao Zhao, Ruyu Li, Zhouxiang Li, Danfeng Chang, Xinyi Zhou, Qiang Ma, Yuexia Gao

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Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xinru Kong *Department of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Miaomiao Zhao *Department of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Ruyu LiDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Zhouxiang LiDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Danfeng ChangDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Xinyi ZhouDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Qiang MaDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China. qiangma@ntu.edu.cn.
Yuexia GaoDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, China. yxgao@ntu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic health physicians are experiencing increased work stress and workload, leading to heightened negative emotions and presenteeism. This study investigates the relationship between job burnout and presenteeism among primary public health physicians in China and explores the potential mediating effect of depressive symptoms, and moderating effects of coping styles and organizational support on these associations.

methods955 primary public health physicians were surveyed from September to December 2022 in China. Presenteeism was assessed using the Stanford Presenteeism Scale (SPS-6). A moderated mediation model was used to understand the moderating relationship between job burnout (X), depressive symptoms (M) mediated presenteeism (Y), coping styles (W1), and organizational support (W2), controlling for all possible covariates.

results69.95% of participants showed job burnout in work and 50.16% experienced depressive symptoms, with the average score of presenteeism 16.90 ± 5.74. Job burnout was positively associated with presenteeism score (Effect = 2.23, 95%CI [1.93,2.53]). Mediation analyses revealed that depressive symptoms significantly mediated this relationship (indirect effect = 0.96, 95%CI [0.70,1.25]). Moderated mediation further indicated that the interaction of coping styles and job burnout was negatively related to depressive symptoms, and the interaction of organizational support and depressive symptoms was positively related to presenteeism among public health physicians.

conclusionHigh job burnout and higher depressive symptoms may contribute to presenteeism. Positive coping styles and appropriate organizational support could buffer the detrimental effects by reducing job burnout and depressive symptoms. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Burnout, ProfessionalPhysicians, Primary CarePresenteeismAdultChinaCoping SkillsDepressionEast Asian PeopleFemaleHumansMaleMediation AnalysisMiddle AgedSurveys and QuestionnairesWorkloadCoping stylesDepressive symptomsJob burnoutOrganizational supportPresenteeism

Identifiers

PMID40450257
PMCPMC12126902

What OpenQuestion holds

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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.