Evidence map›Paper›PMID 41761275›Full record

ArticleBMC psychology2026

Work-life balance and work engagement: the mediating role of work frustration.

Jiayue Zhang, Tianqi Wang, Ye Zhang, Yingruo Yao

Abstract read
In one paragraph

Article in BMC psychology, 2026. 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
0cells of the map it votes in
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

Jiayue ZhangSchool of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China. zhangjiayue0328@sina.com.
Tianqi WangSchool of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China.
Ye ZhangSchool of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China.
Yingruo YaoSchool of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRising healthcare demand and the high-intensity, unpredictable pacing of clinical work make it important to understand how healthcare workers sustain work engagement. Although work-life interface experiences have been linked to engagement, the role of work frustration, arising when staff encounter barriers while advancing their work, remains insufficiently clarified.

methodsGrounded in Job Demands-Resources (JD-R) theory, this study examined the association between work–life balance and work engagement among healthcare workers and tested whether work frustration mediated this association. Data were collected via a questionnaire survey. Indirect effects were tested using regression models with bootstrapping.

resultsWork-life balance was positively associated with work engagement. Work frustration served as a significant mediator, with the indirect effect accounting for 60.61% of the total effect. The model explained 38.5% of the variance in work engagement.

conclusionsThese findings extend JD-R-based explanations of engagement differences in high-demand healthcare contexts by highlighting work frustration as a key pathway linking work–life balance to engagement. Practically, hospitals may support work engagement by improving work arrangements and work-life coordination, while also reducing recurring process barriers and repetitive rework that accumulate work frustration.

Indexed as

FrustrationHealth PersonnelJob SatisfactionWork EngagementWork-Life BalanceAdultFemaleHumansMaleMiddle AgedHealthcare workersJob Demands-Resources theoryWork engagementWork frustrationWork-life balance

Identifiers

PMID41761275
PMCPMC13049731

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.