Evidence map›Paper›PMID 41602916›Full record

ArticleiScience2026

How does high-density built-environment affect the incidence of gestational diabetes mellitus.

Fei Guo, Nannan Liu, Ruiheng Peng, Binyao Wang, Yeqing Chang, Hong Jin, Xinyu Xiong, Dongxu Zhang, Qianlong Zhang, Liqiang Zheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. 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

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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

10 authors.

Fei GuoSchool of Architecture and Fine Art, Dalian University of Technology, Dalian 116023, China.
Nannan LiuSchool of Architecture and Fine Art, Dalian University of Technology, Dalian 116023, China.
Ruiheng PengSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Binyao WangSchool of Architecture and Fine Art, Dalian University of Technology, Dalian 116023, China.
Yeqing ChangSchool of Architecture and Fine Art, Dalian University of Technology, Dalian 116023, China.
Hong JinMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Xinyu XiongSchool of Architecture and Fine Art, Dalian University of Technology, Dalian 116023, China.
Dongxu ZhangCollege of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China.
Qianlong ZhangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Liqiang ZhengMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the prevalent complications during pregnancy, this study discussed the association between gestational diabetes mellitus (GDM) and multi-source built-environment from the perspective of different spatial scales in mega-cities. This study centered on 4,355 women at a Shanghai hospital. Thirteen variables were selected, then multi-scale geographically weighted regression (MGWR) was used to clarity how these variables relate to GDM. The results showed that: MGWR effectively revealed the relationship between the built environment and GDM at different scales. At specific spatial scales, building-density (BD) and sky view factor (SVF) exhibit pronounced spatial heterogeneity. Based on the mean coefficients in MGWR, it can be inferred that for every 0.1 increase in SVF and green view index (GVI), the probability of GDM decreases by 3% and 1%. These findings delve into the association between the built environment and lifestyle-related diseases. They underscore the significance of developing place-specific policies in health interventions and urban planning.

Indexed as

Human metabolismPublic healthUrban planning

Identifiers

PMID41602916
PMCPMC12834113

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.