Unveiling Place-Based Effects at Scale: A Multiscale Geographically Weighted Regression of Food Deserts and Cardiovascular Risk in Chile
Francisco Vergara-Perucich, Leslie Landaeta-Díaz, Carlos Aguirre-Nuñez

TL;DR
This study shows how food deserts in Chile are linked to cardiovascular risk in different ways across cities, suggesting the need for localized public health strategies.
Contribution
The study introduces a multiscale geospatial analysis to reveal how food deserts affect cardiovascular risk differently across urban areas in Chile.
Findings
Food deserts show a positive link to cardiovascular risk in Valparaíso but a negative link in Concepción.
Santiago exhibits mixed associations, indicating complex local mechanisms.
The study highlights the need for place-sensitive public health interventions rather than national policies.
Abstract
Background/Objectives: Cardiovascular diseases (CVD) in Chile are profoundly shaped by place-based determinants of diet. This study examines the association between food deserts—areas with structurally limited access to nutritious, affordable food—and population-level cardiovascular risk across Chile’s three largest metropolitan areas (Santiago, Valparaíso, Concepción). Methods: We constructed a geospatial food desert index combining OpenStreetMap-derived retail accessibility with census information, and linked it to georeferenced cardiovascular health records. To overcome the limitations of global models that assume spatial stationarity, we applied Multiscale Geographically Weighted Regression (MGWR) to allow coefficients to vary across space and to recover variable-specific process scales. Results: The MGWR results indicate pronounced spatial non-stationarity in the food desert–CVD…
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Taxonomy
TopicsUrban Transport and Accessibility · Obesity, Physical Activity, Diet · Data-Driven Disease Surveillance
