Evidence map›Paper›PMID 40751087›Full record

ArticleNpj mental health research2025

The mitigation effects of residential green space and low air pollution on socioeconomic inequalities in depression.

Qi Wu, Chenshuang Li, Luxia Zhang, Ying Zhou

Abstract read
In one paragraph

Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Qi Wu *Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China.
Chenshuang Li *Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China.
Luxia ZhangNational Institute of Health Data Science, Peking University, Beijing, China.
Ying ZhouCenter for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China. ying_zhou@hust.edu.cn.

Funding

National Natural Science Foundation of China 72122007
6 · The paper itself

Abstract

Depression is highly clustered among people with low socioeconomic status (SES). Improved environments are known to be potentially beneficial, but the extent to which environments alleviate socioeconomic inequalities in depression remains unclear. Based on 334,536 UK Biobank participants, we quantified mediating roles of green space and air pollution in association between SES and depression, and examined interactive and joint relationships between SES and environments on depression. Co-improvements in green space and air quality significantly mediated 2.7% of this association. Interaction analysis indicated stronger environmental benefits for low-SES populations. Joint analysis revealed that low-SES adults in favorable environments had a 14.6% lower depression risk than medium-SES individuals in unfavorable conditions, with more pronounced effects among females (16.4%) and older adults (9.8%). Our findings emphasize mitigating role of upstream environmental factors involving green space and air quality in tackling socioeconomic inequalities in depression, particularly for vulnerable populations like the elderly and females.

Identifiers

PMID40751087
PMCPMC12317017

What OpenQuestion holds

Textmetadata
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.