Evidence map›Paper›PMID 39304888›Full record

ArticleBMC nursing2024

Emotional labor, fatigue, and presenteeism in Chinese nurses: the role of organizational identification.

Zheng Ren, Chao Zhou, Xiumin Zhang, Aoqi Yang, Wenjun Li, Hongjian Liu

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Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  11. A qualitative study of the emotional labour among neonatal nurses based on the affective events theory.International journal of qualitative studies on health and well-being · 2025
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zheng RenSchool of Politics and Public Administration, Guangxi Normal University, Guilin, Guangxi, 541006, China.
Chao ZhouSchool of Politics and Public Administration, Guangxi Normal University, Guilin, Guangxi, 541006, China.
Xiumin ZhangDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China. zhangxiumin63@163.com.
Aoqi YangThe First Hospital of Jilin University, Changchun, China.
Wenjun LiDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China.
Hongjian LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.

Funding

The Department of Science and Technology of Jilin Province, China 20240701118FGThe Education Department of Guangxi Zhuang Autonomous Region, China 2024KY0045
6 · The paper itself

Abstract

backgroundPresenteeism has become a significant issue related to health. However, the effect of fatigue and organizational identification on the relationship between emotional labor and presenteeism among Chinese nurses remains unclear. This study aims to explore the correlation of Chinese nurses' emotional labor, fatigue and organizational identification with presenteeism, and to analyze the mediating effect of fatigue and the moderating effect of organizational identification on the relationship between emotional labor and presenteeism.

methodsA cross-sectional study was performed from June to October 2022 in Changchun City, Jilin Province, China. In total, 1,630 nurses were asked to complete a range of self-administered questionnaires, including the Emotional Labor Scale, the Fatigue Scale, the Organizational Identification Scale and the Stanford Presenteeism Scale. Besides, the PROCESS macro and multiple linear regression were used for moderated mediation analysis.

resultsEmotional labor (r = 0.108, P < 0.001) and fatigue (r = 0.475, P < 0.001) were positively correlated with presenteeism, while organizational identification (r = -0.261, P < 0.001) was negatively correlated with presenteeism. The effect of emotional labor on presenteeism was partially mediated by fatigue (Effect = 0.014, 95% CI = [0.007, 0.021]). Additionally, the relationship between emotional labor and fatigue was moderated by organizational identification (P = 0.018 for the interaction term).

conclusionsFatigue and organizational identification have mediating and moderating effects on the relationship between emotional labor and presenteeism, respectively. Targeted support measures should be taken to improve the presenteeism of nurses. Nursing managers can relieve the psychological pressure and fatigue of nurses by establishing emotional release channels, and improve the presenteeism of nurses through enhancing organizational identification.

Indexed as

Chinese nursesEmotional laborFatigueOrganizational identificationPresenteeism

Identifiers

PMID39304888
PMCPMC11416020

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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.