Evidence map›Paper›PMID 42293624›Full record

ArticleFrontiers in public health2026

Heterogeneous impacts of work-family conflict on workforce mental health: evidence from the differential effects of work-to-family and family-to-work conflict.

Yuqian Wang, Jianbo Zhang, Chao Li

Abstract read
In one paragraph

Article in Frontiers in public health, 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

3 authors.

Yuqian WangBusiness School, Shandong University, Weihai, China.
Jianbo ZhangBusiness School, Shandong University, Weihai, China.
Chao LiBusiness School, Shandong University, Weihai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Despite extensive discussions on the negative consequences of work-family conflict, the heterogeneous impacts of WFC and FWC on perceived depression have not been systematically examined. This study aims to systematically examine the relationship between work-family conflict and perceived depression from the novel heterogeneous perspectives of work-to-family conflict (WFC) and family-to-work conflict (FWC). Materials and methods: Empirical analysis is conducted based on data from the Chinese General Social Survey. Results: WFC and FWC significantly increase depression levels, with FWC exerting a more pronounced impact. These conflicts reduce life happiness and work satisfaction, thereby increasing depression. The effect of WFC is more significant among men, individuals under 40, those with lower education level, married ones, those having children, and people with poorer economic status. Moreover, its effects are also more pronounced for those in managerial positions, with low job autonomy, performing non-cognitive work, working outside the primary labor market, without social security, and in areas with a higher competitive labor market. In contrast, FWC affects higher educated and unmarried individuals more, showing no notable differences in terms of gender, age, or managerial roles. In other aspects, the heterogeneity of FWC's impact generally aligns with that of WFC. Conclusion: These findings highlight the importance of reducing work-family conflicts to address depressive emotions and the necessity of implementing targeted measures to mitigate WFC and FWC across different populations.

Indexed as

DepressionFamilyMental HealthWork-Life BalanceAdultChinaFemaleHumansJob SatisfactionMaleMiddle AgedRole ConflictSurveys and Questionnairesfamily-to-work conflictperceived depressionwork-family balanceworkforce mental healthwork-to-family conflict

Identifiers

PMID42293624
PMCPMC13253471

What Socratic holds

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LicenceCC BY
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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 Socratic graph.