Evidence map›Paper›PMID 41792646›Full record

ArticleBMC public health2026

Natural environment and gestational diabetes risk in Australia: a spatiotemporal ecological regression approach.

Wubet Worku Takele, Siew Lim, Lachlan L Dalli, Richard Beare, Kiki Adhinugraha, David Taniar, Siqin Wang, Jacqueline A Boyle

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In one paragraph

Article in BMC 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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0citing papers in PubMed
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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

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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

8 authors.

Wubet Worku TakeleEastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Siew LimEastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Lachlan L DalliStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia.
Richard BeareDevelopmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia.
Kiki AdhinugrahaDepartment of Computer Science and Information Technology, School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, Victoria, Australia.
David TaniarFaculty of Information Technology, Monash University, Melbourne, Victoria, Australia.
Siqin WangSpatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
Jacqueline A BoyleEastern Health Clinical School, Monash University, Melbourne, Victoria, Australia. jacqueline.boyle@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisproportionate exposure to natural environment attributes (e.g., greenness, air quality) may be associated with disparities in gestational diabetes mellitus (GDM) risk across areas and social factors. We examined the association between the natural environment features and GDM risk, and explored variation by area-level social factors.

methodsA nationwide ecological spatiotemporal study at Statistical Area Level 2 (SA2), a medium-sized spatial resolution, was conducted using data from 2016 to 2022. SA2-level annual data on GDM cases, births, environmental exposures (air pollution [PM

resultsWe included 241,264 GDM cases among 2,035,100 women across 1,977 SA2s from 2016 to 2022. An 11% (Adjusted Risk Ratio [ARR]: 0.89 [0.83-0.95]) reduction in GDM risk was associated with an increase in residential greenness (per 0.10 increase in NDVI). This association was stronger in areas of most socioeconomic advantage (ARR: 0.70 [0.59-0.83]) and in neighbourhoods with a high concentration of non-European migrant women (ARR: 0.83 [0.76-0.89]). GDM risk was associated with high PM

conclusionsHigh residential greenness may be associated with a lower risk of GDM, with potential differences by social factors. The increased GDM risk associated with high PM

Indexed as

Diabetes, GestationalEnvironmental ExposureAdultAir PollutionAustraliaFemaleHumansPregnancyRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsSpatio-Temporal AnalysisAir pollutionEnvironmental equityGestational diabetesGreennessSocial environment

Identifiers

PMID41792646
PMCPMC13078036

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LicenceCC BY
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Registered trials

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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.