Evidence map›Paper›PMID 42245353›Full record

ArticleFrontiers in public health2026

The impact of work-family conflict on the mental health of female employees in the financial sector of China: a cross-sectional study.

Yan Chen, Jie Tian, Kaixuan Huang, Ni Song, Zhe Zhou, Zhongxia Shen

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
–field-weighted citation impact
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

6 authors.

Yan ChenZhejiang Provincial Committee of the China Finance and Trade Union, Hangzhou, China.
Jie TianYangtze Delta Region Institute of Tsinghua University, Jiaxing, China.
Kaixuan HuangSchool of Engineering, Huzhou Normal University, Huzhou, China.
Ni SongSchool of Engineering, Huzhou Normal University, Huzhou, China.
Zhe ZhouSchool of Engineering, Huzhou Normal University, Huzhou, China.
Zhongxia ShenDepartment of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health among female financial employees is a critical occupational concern, yet the role of work-family conflict in this high-pressure field remains underexplored. This study assesses the mental health status of 2,342 female employees in China's financial sector and examines the specific impact of work-family conflict. Participants completed the Patient Health Questionnaire, Generalized Anxiety Disorder Scale, Insomnia Severity Index, and Perceived Stress Scale, while work-family conflict was measured with the Work-Family Conflict Scale. Results revealed elevated prevalence rates: depression (74.64%), anxiety (66.78%), insomnia (53.33%), and perceived stress (73.40%). Multivariate regression identified work-family conflict as a significant predictor of poorer mental health. This association persisted after controlling for demographic and occupational variables. The findings highlight work-family conflict as a key occupational risk factor. Implementing structured organizational measures, such as flexible work arrangements, is recommended to safeguard the wellbeing of this workforce.

Indexed as

Mental HealthSubjective StressAdultAnxietyChinaCross-Sectional StudiesDepressionFemaleHumansMiddle AgedRole ConflictSleep Initiation and Maintenance DisordersSurveys and Questionnairesfemale employeesfinancial sectormental healthoccupational healthwork-family conflict

Identifiers

PMID42245353
PMCPMC13230108

What OpenQuestion 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 OpenQuestion graph.