Evidence map›Paper›PMID 41239510›Full record

ArticleBMC psychology2025

From burnout to growth: how job burnout links to posttraumatic growth in healthcare workers.

Miao Lv, Jiayin Liu, Yinan Wang, Dexiang Zhang

Abstract read
In one paragraph

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

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Miao Lv *School of Psychology, Faculty of Education, Qufu Normal University, Qufu, 273165, China. lvmiao@qfnu.edu.cn.
Jiayin Liu *Dalian Railway Medical School, Dalian, 234643, China.
Yinan WangSchool of Psychology, Faculty of Education, Qufu Normal University, Qufu, 273165, China.
Dexiang ZhangSchool of Teachers, Shandong Second Medical University, Weifang, 10438, China.

Funding

General Project of National Education Science Planning BHA250112
6 · The paper itself

Abstract

backgroundHealthcare workers face unprecedented psychological challenges due to relentless exposure to traumatic events, from global pandemics to workplace violence. Despite these adversities, some individuals experience posttraumatic growth (PTG)—a phenomenon where struggle leads to profound personal transformation. Given this concerning reality, understanding the current status and underlying mechanisms of PTG among healthcare workers becomes crucial.

methodsDrawing on a large-scale cross-sectional survey involving 1375 healthcare workers from two Chinese cities, this research examined the relationship between job burnout and PTG. Specifically, it explored how psychological resilience and positive stress beliefs serve as potential chain mediators in this relationship.

resultsThe results demonstrated that job burnout was a negative predictor of PTG. Furthermore, both psychological resilience and positive stress beliefs were found to mediate the relationship between job burnout and PTG, with a significant sequential chain mediation effect observed.

conclusionJob burnout was found to be associated not only with lower levels of PTG among healthcare workers, but also with reduced psychological resilience and less positive stress beliefs, which were related to lower PTG. This research enriched the theoretical understanding of posttraumatic growth among healthcare workers by revealing how job burnout diminished the likelihood of posttraumatic growth. Simultaneously, the research contributed a novel perspective to job burnout theory by highlighting its negative impact on individuals’ positive psychological transformation.

Indexed as

Burnout, ProfessionalHealth PersonnelPosttraumatic Growth, PsychologicalResilience, PsychologicalAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychological GrowthStress, PsychologicalHealthcare workersJob burnoutPositive stress beliefsPosttraumatic growthPsychological resilience

Identifiers

PMID41239510
PMCPMC12619454

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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.