Evidence map›Paper›PMID 39251711›Full record

ArticleScientific reports2024

Earth observation data uncover green spaces' role in mental health.

Leonardo D Araújo, Daniel C Zanotta, Nicolas Ray, Maurício R Veronez

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Article
  3. SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2025
    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

4 authors.

Leonardo D AraújoLaboratory of Advanced Visualization and Geoinformatics (VizLab), Universidade Do Vale Do Rio Dos Sinos, Av. Unisinos 950, Cristo Rei, São Paulo, RS, 93022-750, Brazil. ldaraujo@edu.unisinos.br.
Daniel C ZanottaLaboratory of Advanced Visualization and Geoinformatics (VizLab), Universidade Do Vale Do Rio Dos Sinos, Av. Unisinos 950, Cristo Rei, São Paulo, RS, 93022-750, Brazil.
Nicolas RayGeo Health GroupInstitute of Global Health, Faculty of Medicine, University of Geneva, Chemin des Mines 9, 1202, Geneva, Switzerland.
Maurício R VeronezLaboratory of Advanced Visualization and Geoinformatics (VizLab), Universidade Do Vale Do Rio Dos Sinos, Av. Unisinos 950, Cristo Rei, São Paulo, RS, 93022-750, Brazil.

Funding

Agência Nacional do Petróleo, Gás Natural e Biocombustíveis 4600583791Petróleo Brasileiro S.A. (PETROBRAS) 4600556376
6 · The paper itself

Abstract

The prevalence of mental health disorders, a key disability cause, is linked to demographic and socioeconomic factors. However, limited data exists on mental health and the urban environment. Urbanization exposes populations to environmental stressors, particularly affecting low-middle-income countries with complex urban arrangements. We used remote sensing and census data to investigate potential connections between environmental factors and mental health disorders. Land cover variables were assessed using the European Space Agency (ESA) global WorldCover product at 10 m resolution together with the database of mental health diagnosed cases (n = 5769) from the Brazilian Unified Health System's Department of Informatics (DATASUS) from every health facility of the city of Porto Alegre. The association of mental health data with land cover was established with machine learning algorithms and polynomial regression models. The results suggest that higher trees cover at neighborhood level was associated with better mental health index. A lower mental health index was also found to be associated with an higher Human Development Index. Our results highlight the potential of greenness in the city environment to achieve substantially better mental health outcomes.

Indexed as

Mental HealthAdultBrazilCitiesFemaleHumansMachine LearningMaleMental DisordersResidence CharacteristicsSocioeconomic FactorsUrbanization

Identifiers

PMID39251711
PMCPMC11384788

What OpenQuestion holds

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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.