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A Multi-Scale Geographically Weighted Regression Approach to Understanding Community-Built Environment Determinants of Cardiovascular Disease

Evidence from Nanning, China

Bibliographic Data

ID22033461
AuthorsShuguang Deng (Nanning Normal University), Shuyan Zhu (0000-0001-8428-2372, Nanning Normal University, corresponding author), Xueying Chen (0000-0001-6399-4514, Nanning Normal University), Jinlong Liang (Nanning Normal University), Rui Zheng (0009-0007-3672-4552, Nanning Normal University)
Year2025
Volume14
Issue9
Pages362
Publication date2025-09-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14090362
OpenAlexW4414326302
LanguageEN
Citations received3
References cited80

Clarifying how the community-scale built environment shapes the spatial heterogeneity of cardiovascular disease (CVD) prevalence is essential for precision urban health interventions. We integrated CVD prevalence data from the Guangxi Zhuang Autonomous Region Hospital (2020–2022) with 14 built-environment indicators across 77 communities in Xixiangtang District, Nanning, and compared ordinary least squares (OLS), geographically weighted regression (GWR), and multiscale geographically weighted regression (MGWR). MGWR provided the best model fit (adjusted R2 increased by 0.136 and 0.056, respectively; lowest AICc and residual sum of squares) and revealed significant scale-dependent effects. Distance to metro stations, road network density, and the number of transport facilities exhibited pronounced local-scale heterogeneity, while population density, building density, healthy/unhealthy food outlets, facility POI density, and public transport accessibility predominantly exerted global-scale effects. High-risk clusters of CVD were identified in mixed-use, high-density urban communities lacking rapid transit access. The findings highlight the need for place-specific, multi-scale planning measures, such as transit-oriented development and balanced food environments, to reduce the CVD burden and advance precision healthy-city development

China · Geographically Weighted Regression · Meta-regression · Ordinary least squares · Population · Public health · Public transport · Regression · Regression analysis · Health disparities and outcomes · Urban Transport and Accessibility

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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