Evidence map›Paper›PMID 41527060›Full record

SynthesisBMC public health2026

What are the socioeconomic risk factors of depression among the elderly in China: a systematic review.

Jining Li, Andy Pennington, Xingna Zhang, Zihan Dong, Benjamin Barr

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Jining LiDepartment of Public Health, Shanxi Medical University, 98 Daxue Street, Jinzhong, 030600, Shanxi, China. jining.li@liverpool.ac.uk.
Andy PenningtonDepartment of Public Health, Policy & Systems, University of Liverpool, Liverpool, UK.
Xingna ZhangDepartment of Public Health, Policy & Systems, University of Liverpool, Liverpool, UK.
Zihan DongDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Benjamin BarrDepartment of Public Health, Policy & Systems, University of Liverpool, Liverpool, UK.

Funding

Shanxi Federation of Social Sciences SSKLZDKT2025065Shanxi Provincial Philosophy and Social Science Planning Program 2025QN076
6 · The paper itself

Abstract

backgroundNumerous studies have explored the socioeconomic risk factors of depression in late life, including within China, however, there has been no systematic review and synthesis of these findings. Our systematic review aims to identify, evaluate, and synthesize current evidence on potential socioeconomic risk factors associated with depression among the elderly in China.

methodsFour electronic academic databases (MEDLINE [via OVID], Social Sciences Citation Index (SSCI) [via Web of Science], APA PsycArticles [via EBSCOhost], and Wanfang [a Chinese database]) were searched from 2005 to March 2022 for national studies reporting evidence on potential associations between socioeconomic risk factors and depression among the elderly in China. Elder is defined as a person who is aged 60 and over. Forward and backward citation searches were also conducted. Data was extracted using a standardized form. Study methodological quality was assessed using the Liverpool University Quality Assessment Tools (LQAT). A narrative synthesis was performed.

resultsThirty studies that met the review inclusion criteria were included. Across the studies, the evidence indicates that higher educational status, better financial status, better housing conditions, active social engagement, more social support and better neighborhood conditions reduced the risk of depression among the elderly in China. Evidence on associations between working status was equivocal, two studies found evidence suggesting that working after 60 increased the likelihood of depression, while another study suggested working after 60 decreased the likelihood of depression.

conclusionsThe findings highlight the importance of considering socioeconomic factors in the prevention and treatment of depression among the elderly in China. To support elderly mental health, policies should focus on expanding educational opportunities, strengthening financial security, improving housing conditions, and supporting flexible employment options for the elderly. Additionally, enhancing social engagement, reinforcing social support networks, and developing community-based initiatives can help create a more inclusive and supportive environment for healthy aging. Further research is needed on the relationships between working status and depression among the elderly in China.

trial registrationThe protocol was registered on PROSPERO: CRD42023483862.

Indexed as

DepressionAgedChinaHumansRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsChinaDepressionElderlySocioeconomic inequalitiesSocioeconomic risk factorsSystematic review

Identifiers

PMID41527060
PMCPMC12888281

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.