Evidence map›Paper›PMID 41039868›Full record

ArticleJournal of global health2025

The global, regional, and national preventable burden of depression attributable to greenness and inequalities: a scenario-based health impact analysis.

Jiayu Wu, Wenjie Di, Jidian Ruan, Senhao Li, Jiayao Ying, Jiali Zhou, Igor Rudan, Peige Song

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Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jiayu WuCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Wenjie DiCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Jidian RuanCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Senhao LiCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Jiayao YingSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiali ZhouSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Igor RudanCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Peige SongSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence suggests that exposure to greenness may reduce the burden of depression. Here, we quantified the global, regional, and national preventable burden of depression attributable to greenness and examined the associated socioeconomic inequalities. Methods: We conducted a scenario-based health impact assessment using data from the Global Burden of Disease 2021 study to estimate the preventable burden of depression (measured in disability-adjusted life years (DALYs)) under three greenness expansion scenarios. We performed a random-effects meta-analysis to derive a pooled odds ratio (OR) for the association between greenness and depression, adjusting it for city-specific greenness levels to calculate the population attributable fraction for each country. We assessed temporal trends (2001-20), analysed sex differences, and quantified cross-country inequalities using the slope index of inequality and concentration index. Results: Under the best potential scenario, the global age-standardised DALY rate (ASDR) of preventable depression per 100 000 population increased from 93.60 (95% uncertainty interval (UI) = 87.79, 99.42) in 2001 to 117.67 (95% UI = 110.61, 124.72) in 2020, with an average annual percentage change (AAPC) of 1.13% (95% confidence interval (CI) = 0.52, 1.75). Regionally, the African Region exhibited the highest growth (AAPC = 1.78%), while the Americas had the highest preventable burden in 2020 of 287.83 (95% UI = 252.67, 322.99). Moreover, the burden varied across sociodemographic index regions. Females consistently exhibited a higher preventable burden than males, with an absolute sex difference in ASDR of 54.40 (95% CI = 44.67, 64.48) in 2020. Cross-country inequalities narrowed globally, with the concentration index declining from 0.160 (95% CI = 0.088, 0.232) in 2001 to 0.051 (95% CI = -0.021, 0.123) in 2020, though regional disparities persisted. Conclusions: Greenness expansion has the potential to significantly reduce the global depression burden, but inequitable access exacerbates mental health disparities. Targeted urban greening policies are needed to enhance mental well-being and health equity worldwide.

Indexed as

DepressionEnvironmentGlobal HealthHealth Status DisparitiesAdultDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHealth Impact AssessmentHumansMaleMiddle AgedSocioeconomic Factors

Identifiers

PMID41039868
PMCPMC12491903

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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.