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

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.

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Publication Details

Journal
iScience
Published
2025-11-29
DOI
https://doi.org/10.1016/j.isci.2025.114272
Primary Topic
Urban Green Space and Health
Type
article
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article

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

Ruiheng Peng, Binyao Wang, Liqiang Zheng, Qianlong Zhang et al.
iScience
Urban Green Space and Health
article

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

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

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.

iScienceVol. 29(1)
Shanghai Jiao Tong University (CN), Dalian University of Technology (CN), XinHua Hospital (CN), Guangzhou University (CN), International Peace Maternity & Child Health Hospital (CN)
Openalex Percentile: Top 53%
Urban Green Space and Health
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How does high-density built-environment affect the incidence of gestational diabetes mellitus — Ruiheng Peng, Binyao Wang, et al. · iScience (2025) | TGRS Research Map | TGRS