Evidence map›Paper›PMID 42631112›Full record

ArticleDepression and anxiety2026

The Associations Between Income and Depression: A Cross-National Analysis.

Rachel Li, Xiantong Yang

Abstract read
In one paragraph

Article in Depression and anxiety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Rachel LiDepartment of Psychology, University of Washington, Seattle, Washington, USA, washington.edu.ORCID https://orcid.org/0009-0009-3631-8380
Xiantong YangSchool of Psychology, Fujian Normal University, Fuzhou, Fujian, China, fjnu.edu.cn.ORCID https://orcid.org/0000-0002-1679-2474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression remains one of the most prevalent global mental health challenges, while prior research has often examined its determinants through fragmented and isolated perspectives. A multidimensional understanding of how biological, psychological, social, and sociocultural factors jointly shape depression risk remains limited, particularly across national contexts. Using data from three nationally representative cohorts in the United Kingdom (Understanding Society: The UK Household Longitudinal Study), the United States (Midlife in the United States), and China (China Health and Retirement Longitudinal Study), we applied network analysis and parallel mediation analysis to examine the relative importance of multidimensional factors associated with depression and to assess pathways associated with income and depressive symptoms. Across all cohorts, psychological factors showed the strongest associations with depression. Lower income was directly related to higher depression and indirectly related through parallel pathways involving loneliness and disability. Loneliness emerged as the most consistent mediator across cohorts. These findings provide an integrated view of depression risk and highlight the potential role of psychological mechanisms in linking socioeconomic disadvantage to mental health vulnerability across populations.

Indexed as

DepressionIncomeLonelinessAgedChinaFemaleHumansLongitudinal StudiesLow Socioeconomic StatusSocioeconomic Disparities in HealthUnited KingdomUnited Statescross-national studydepressionincomelonelinessmediation analysisnetwork analysis

Identifiers

PMID42631112
PMCPMC13495565

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.