Evidence map›Paper›PMID 41356430›Full record

ArticleApplied research in quality of life2025

Racial/ethnic Variations in the Association Between Financial Strain and Well-Being: Evidence from the United Kingdom Household Longitudinal Survey.

Lei Chai, Cheng Chow, Zhuofei Lu

Abstract read
In one paragraph

Article in Applied research in quality of life, 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
–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. Article
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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

3 authors.

Lei ChaiDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Cheng ChowSchool of Social Work, University of Texas at Austin, Austin, TX USA.
Zhuofei LuDepartment of Sociology, University of Oxford, Oxford, UK.ORCID 0000-0002-3597-3801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Financial strain is a major social stressor that adversely affects well-being, yet few studies have comprehensively examined whether its association differs by race/ethnicity. This study investigates whether the relationship between financial strain and two key outcomes-mental health and life satisfaction-varies across racial/ethnic groups using longitudinal data. Drawing on 13 waves of the United Kingdom Household Longitudinal Survey (UKHLS), spanning 2009-2010 to 2021-2022 and comprising 58,029 individuals and 417,766 person-years, we apply fixed-effects regression models to assess within-individual changes over time. Results show that financial strain is consistently associated with poorer mental health and lower life satisfaction. However, racial/ethnic variation emerges only in relation to mental health. Specifically, Black adults experience a stronger adverse association between financial strain and mental health compared to White adults. Subgroup analyses reveal further nuance: relative to White adults, African adults exhibit a more pronounced adverse association, whereas the association is not significant among Caribbean adults. Among Asian adults, financial strain is more strongly associated with poorer mental health for Indian individuals but less so for Chinese individuals. These findings highlight the need for tailored financial and mental health support initiatives that account for differences across both broad and specific racial/ethnic groups relative to the majority population. Targeted interventions may help mitigate the unequal burden of perceived financial stress and promote more equitable well-being outcomes. Supplementary Information: The online version contains supplementary material available at 10.1007/s11482-025-10502-5.

Indexed as

Financial strainLife satisfactionMental healthRace/ethnicity

Identifiers

PMID41356430
PMCPMC12678589

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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.