ArticleInternational journal of health geographics2020
Targeting the spatial context of obesity determinants via multiscale geographically weighted regression.
Article in International journal of health geographics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it, 196 citations in OpenAlex.
- The built environment as determinant of childhood obesity: A systematic literature review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Pooled it
- Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand.One health (Amsterdam, Netherlands) · 2026Article
- Spatial analysis of predictors of prostate cancer incidence in the united states using multiscale geographically weighted regression (MGWR).BMC public health · 2026Article
- Unveiling Place-Based Effects at Scale: A Multiscale Geographically Weighted Regression of Food Deserts and Cardiovascular Risk in Chile.Epidemiologia (Basel, Switzerland) · 2026Article
- Geospatial modeling of environmental and socioeconomic drivers of health outcomes.Frontiers in public health · 2026Article
- A multiscale geospatial analysis integrating explainable machine learning to characterize spatial disparities in melanoma mortality associated with environmental justice and healthcare access in the contiguous United States.Frontiers in public health · 2026Article
- Mapping the mortality niche of chronic lower respiratory diseases complicated by respiratory failure: a multiscale spatial analysis of environmental and social drivers.Frontiers in public health · 2026Article
- Multiscale geographically weighted modeling of tuberculosis incidence in China: integrating geographic perspectives into epidemiological analysis.International journal of health geographics · 2025Article
- Hidden COVID-19 deaths? Exploring the Spatial context of excess death rates during the COVID-19 pandemic.International journal of health geographics · 2025Article
- The effect of urban agglomeration land use zoning on sustainable development goals.Scientific reports · 2025Article
- Relationships of residential distance to greenhouse floriculture and organophosphate, pyrethroid, and neonicotinoid urinary metabolite concentration in Ecuadorian Adolescents.International journal of health geographics · 2025Article
- Where environment and malaria intersect: Exploring the spatio-temporal footprints of Plasmodium falciparum in Tanzania.PloS one · 2025Article
- The impact of lockdown on Aragonese children: a geographical analysis of childhood obesity pre- and post-lockdown.Frontiers in public health · 2025Article
- Spatial nonstationarity and the role of environmental metal exposures on COVID-19 mortality in New Mexico.Applied geography (Sevenoaks, England) · 2024Article
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- A Bayesian spatio-temporal model of COVID-19 spread in England.Scientific reports · 2024Article
- Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach.International journal of health geographics · 2024Article
- Spatial analysis of the prevalence of abdominal obesity in middle-aged and older adult people in China: exploring the relationship with meteorological factors based on gender differences.Frontiers in public health · 2024Article
- Spatial prediction of the probability of liver fluke infection in water resource within sub-basin using an optimized geographically-weighted regression model.Frontiers in veterinary science · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity rates are recognized to be at epidemic levels throughout much of the world, posing significant threats to both the health and financial security of many nations. The causes of obesity can vary but are often complex and multifactorial, and while many contributing factors can be targeted for intervention, an understanding of where these interventions are needed is necessary in order to implement effective policy. This has prompted an interest in incorporating spatial context into the analysis and modeling of obesity determinants, especially through the use of geographically weighted regression (GWR).
methodThis paper provides a critical review of previous GWR models of obesogenic processes and then presents a novel application of multiscale (M)GWR using the Phoenix metropolitan area as a case study.
resultsThough the MGWR model consumes more degrees of freedom than OLS, it consumes far fewer degrees of freedom than GWR, ultimately resulting in a more nuanced analysis that can incorporate spatial context but does not force every relationship to become local a priori. In addition, MGWR yields a lower AIC and AICc value than GWR and is also less prone to issues of multicollinearity. Consequently, MGWR is able to improve our understanding of the factors that influence obesity rates by providing determinant-specific spatial contexts.
conclusionThe results show that a mix of global and local processes are able to best model obesity rates and that MGWR provides a richer yet more parsimonious quantitative representation of obesity rate determinants compared to both GWR and ordinary least squares.
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