Evidence map›Paper›PMID 40045244›Full record

ArticleBMC public health2025

A longitudinal dyadic analysis of financial strain and mental distress among different-sex couples: the role of gender division of labor in income and housework.

Sizhan Cui, Fenwick Feng Jing, Haoyuan Ma, Meng Zhu, Yaguang Yan, Senhu Wang

Abstract read
In one paragraph

Article in BMC 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.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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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.

Sizhan CuiNanjing University, Nanjing, China.ORCID http://orcid.org/0000-0002-6794-7982
Fenwick Feng JingQufu Normal University, Qufu, China. fenwickjing@163.com.
Haoyuan MaNanjing Foreign Language School, Nanjing, China.
Meng ZhuHubei University of Economics, Wuhan, China. 00031407@whu.edu.cn.
Yaguang YanNippon Bunri University, Oita, Japan. yaguya1007@gmail.com.
Senhu WangNational University of Singapore, Singapore, Singapore. socsw@nus.edu.sg.ORCID http://orcid.org/0000-0002-0065-7059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite extensive research on the association between financial strain and mental distress, little is known about its spousal crossover effect in different-sex couples.

methodsUsing nationally representative longitudinal dyadic data from the UK and fixed effect models, this study examines the dyadic relationship between financial strain and mental distress among couples, and the different relationship by gendered division of labor in income and housework.

resultsOur findings reveal that for both the husband and wife, financial strain is not only associated with their own mental distress but also their spouses' mental distress, although the spousal cross-over effects have smaller effect sizes. Next, the husband's mental distress associated with his own financial strain decreases as his share of the couple's income increases, while his income share does not significantly alleviate his wife's mental distress related to her own or her husband's financial strain. Lastly, the wife's share of housework does not modify the effect of financial strain on her husband's or her own mental distress. These findings suggest the protective role of the traditional breadwinner in alleviating the husband's mental distress from his own financial strain, but not from his wife's financial strain, while also highlighting the limited effects of housework in mitigating the psychological toll of financial strain on both partners.

conclusionsOverall, these findings provide valuable insights into our understanding of the relationship financial strain and mental distress by incorporating the dyadic perspective and gendered division of labor.

Indexed as

Financial StressHousehold WorkIncomeSpousesStress, PsychologicalAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedSex FactorsUnited KingdomCouplesDivision of laborFinancial strainGenderMental distress

Identifiers

PMID40045244
PMCPMC11881265

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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.