Evidence map›Paper›PMID 40959628›Full record

SynthesisFrontiers in public health2025

The integrative relationship between work-family conflict and turnover intention: a meta-analysis.

Guanghua Li, Yuhan Zhou, Xinyue Zhang, Igor Martek

Abstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Guanghua LiCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, China.
Yuhan ZhouCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, China.
Xinyue ZhangCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, China.
Igor MartekSchool of Architecture and Built Environment, Deakin University, Geelong, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of work-family conflict on employee turnover intention has become a significant topic in organizational behavior research. However, existing findings show significant discrepancies, lacking systematic quantitative integration. The purpose of this study is to explore the relationships between work-family conflict, work-to-family conflict, family-to-work conflict, and employee turnover intention. It considers the moderating effects of national culture, occupation type, age, gender, and measurement tools. Methodology utilizes meta-analysis of large sample data, based on 122 empirical studies. It is found that: (1) There is a significant positive correlation between overall work-family conflict and turnover intention (r = 0.446), with both work-to-family conflict (r = 0.318) and family-to-work conflict (r = 0.261); (2) National culture (individualism/collectivism), occupation type, and measurement tool differences significantly moderate these three relationships; (3) Age only moderates the relationship between family-to-work conflict and turnover intention, while gender moderation effects are not supported. These findings enrich the knowledge system of turnover intention research and provide practical guidance on the implementation of effective measures to reduce turnover.

Indexed as

Conflict, PsychologicalFamilyIntentionPersonnel TurnoverWork-Life BalanceAdultFemaleHumansJob SatisfactionMalefamily-to-work conflictmeta-analysismoderating effectsturnover intentionwork–family conflictwork-to-family conflict

Identifiers

PMID40959628
PMCPMC12434595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.