Evidence map›Paper›PMID 38912227›Full record

ArticleGeoHealth2024

Built Environment, Natural Environment, and Mental Health.

Yehua Dennis Wei, Yu Wang, David S Curtis, Sungeun Shin, Ming Wen

Abstract read
In one paragraph

Article in GeoHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Yehua Dennis WeiDepartment of Geography University of Utah Salt Lake City UT USA.ORCID https://orcid.org/0000-0002-8510-388X
Yu WangDepartment of Geography University of Utah Salt Lake City UT USA.ORCID https://orcid.org/0000-0002-2081-8411
David S CurtisDepartment of Family and Consumer Studies University of Utah Salt Lake City UT USA.ORCID https://orcid.org/0000-0001-5084-7734
Sungeun ShinDepartment of Geography University of Utah Salt Lake City UT USA.ORCID https://orcid.org/0009-0006-5104-2624
Ming WenFaculty of Social Sciences University of Hong Kong Hong Kong China.

Funding

Area-level Socio-economic Conditions and Individual-level Health and Mortality: Exploring Place-Based Mechanisms and Individual-level Psychosocial ProcessesR01AG080440 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI David Stuart Curtis · 2023 to 2026
$2.2M
NIA NIH HHS R01 AG080440
6 · The paper itself

Abstract

Mental health disorders have become a global problem, garnering considerable attention. However, the root causes of deteriorating mental health remain poorly understood, with existing literature predominantly concentrating on socioeconomic conditions and psychological factors. This study uses multi-linear and geographically weighted regressions (GWR) to examine the associations between built and natural environmental attributes and the prevalence of depression in US counties. The findings reveal that job sprawl and land mixed use are highly correlated with a lower risk of depression. Additionally, the presence of green spaces, especially in urban area, is associated with improved mental health. Conversely, higher concentrations of air pollutants, such as PM

Indexed as

built environmentmental healthnatural environmentsocioeconomic conditionsspatial disparity

Identifiers

PMID38912227
PMCPMC11193151

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.