Evidence map›Paper›PMID 32488352›Full record

ArticleInternational archives of occupational and environmental health2021

Recovery experiences mediate the effect of burnout on life satisfaction among Chinese physicians: a structural equation modeling analysis.

Yang Song, Yajing Jia, Kristin Sznajder, Jialin Ding, Xiaoshi Yang

Abstract readMulticenter Study
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Article in International archives of occupational and environmental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

9 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.

Yang SongDepartment of English, School of Fundamental Sciences, China Medical University, Shenyang, 110122, People's Republic of China.
Yajing JiaDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, 110122, People's Republic of China.
Kristin SznajderDepartment of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA, 17033, USA.
Jialin DingDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, 110122, People's Republic of China.
Xiaoshi YangDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, 110122, People's Republic of China. xsyang@cmu.edu.cn.ORCID http://orcid.org/0000-0003-1426-128X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecovery experiences not only make it possible for individuals to restore their energy resources and return to pre-stressor levels but also contribute to the formation of their subjective well-being. This paper investigates the effect of burnout on life satisfaction among Chinese physicians who are frequently confronted with a considerable number of work-related stressors and examines the mediating role of recovery experiences in the relationship between burnout and life satisfaction.

methodsA total of 642 physicians working in five public tertiary hospitals in China responded to a self-administered questionnaire including demographic information, the Satisfaction with Life Scale, the Maslach Burnout Inventory-General Scale, and the Recovery Experience Questionnaire. Hierarchical multiple regression analysis was conducted to test the incremental variance of any given set of independent variables. Structural equation modeling was employed to test the presumed relationships between variables involved. Asymptotic and resampling strategies were used to examine the mediating effects of recovery experiences in the relationship between burnout and life satisfaction.

resultsBurnout and recovery experiences were important predictors of life satisfaction and the direct effect of burnout on life satisfaction was statistically significant and negative and the path coefficients of burnout with life satisfaction were significantly decreased when recovery experiences were modeled as mediators.

conclusionFindings of the study highlight the importance of promoting recovery experiences to reduce burnout and improve life satisfaction among physicians rather than focusing on the less easily modifiable work-related stressors.

Indexed as

Burnout, ProfessionalLeisure ActivitiesPersonal SatisfactionAdultAsian PeopleChinaFemaleHumansMaleMiddle AgedModels, StatisticalPhysiciansSurveys and QuestionnairesTertiary Care CentersBurnoutChinaLife satisfactionPhysiciansRecovery experiencesStructural equation modelling

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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.