Evidence map›Paper›PMID 42876648›Full record

ArticleFrontiers in public health2026

Association of residential greenspace with incident depression: a prospective cohort study.

Chengfang Yang, Tong Lan, Yinghong Zhai, Bin Liu, Fangyuan Hu, Jianbo Ba

Abstract read
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Article in Frontiers in public health, 2026. 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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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

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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

6 authors.

Chengfang Yang *Naval Medical Center, Naval Medical University, Shanghai, China.
Tong Lan *PLA Rocket Force Characteristic Medical Center, Beijing, China.
Yinghong Zhai *Clinical Research Unit, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bin LiuNaval Medical Center, Naval Medical University, Shanghai, China.
Fangyuan HuFaculty of Military Health Service, Naval Medical University, Shanghai, China.
Jianbo BaNaval Medical Center, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Depression is a major public health challenge worldwide. We aimed to examine the association between residential greenspace and incident depression in UK Biobank participants. Methods: We conducted a prospective cohort study of 265,311 UK Biobank participants. Cox regression models were used to examine the association between residential greenspace (300 m/1,000 m buffers) and all-cause depression, adjusting for varying degrees of confounders across 6 sequential models. Restricted cubic spline regression (RCS) was additionally adopted to assess the dose-response relationship between continuous greenspace and depression risk. A series of sensitivity, subgroup and mediation analyses were also conducted. Results: 265,311 participants entered the primary analysis. During the follow-up period, incident all-cause depression occurred in 10,766 participants (4.06%). The mean greenspace percentage was 36.2% (range: 0%-100%) in the 300 m buffer and 46.0% (range: 0%-100%) in the 1,000 m buffer. In a fully adjusted multivariable model (Model 6), the adjusted hazard ratio for per 10% increment in greenspace percentage was 0.988 (95% Conclusion: Increased residential greenspace is associated with a lower risk of all-cause depression. Urban planning strategies that enhance green environments may represent a potential approach for reducing depression risk at the population level.

Indexed as

DepressionNeighborhood CharacteristicsParks, RecreationalResidence CharacteristicsAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankUnited Kingdomcohort studydepressiongreenspacerestricted cubic spline regression (RCS)UK Biobank

Identifiers

PMID42876648
PMCPMC13661952

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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.