Evidence map›Paper›PMID 40475256›Full record

ArticleiScience2025

Neighborhood green space and diabetes mellitus in Brazil.

Reizane Maria Damasceno da Silva, João Pedro Rodrigues Pêgo, Mariana Andreotti Dias, Francisco Jablinski Castelhano, Julia Placido Moore, Jun Yang, Weeberb J Requia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Reizane Maria Damasceno da SilvaCenter for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil.
João Pedro Rodrigues PêgoCenter for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil.
Mariana Andreotti DiasFederal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Francisco Jablinski CastelhanoGeography Department, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Julia Placido MooreBrazilian Ministry of Health, Brasília, Distrito Federal, Brazil.
Jun YangSchool of Public Health, Guangzhou Medical University, Guangzhou 511436, China.
Weeberb J RequiaCenter for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a global public health concern, yet its association with neighborhood green space remains unexplored at a national scale in Brazil. This study analyzed the relationship between green space, measured via the Normalized Difference Vegetation Index (NDVI), and diabetes-related hospitalizations from 2008 to 2018. Using quasi-Poisson regression models, we assessed hospitalization data by sex and age group, incorporating air pollution, weather, and socioeconomic factors as covariates. Results showed regional variations: increased greenness was linked to lower hospitalizations in the North and Midwest, while the Northeast and Southeast exhibited higher hospitalization rates with increased NDVI. The South had mixed results, with positive associations for men and middle-aged individuals. Findings suggest that green spaces may have a protective effect in some regions but require further investigation in others. These results underscore the need for targeted urban planning and public health strategies to optimize green space benefits.

Indexed as

Geographic areasHealth sciencesPublic healthUrban planning

Identifiers

PMID40475256
PMCPMC12138469

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.