Spatial Association Between Frequent Physical Distress (FPD) and Socioeconomic and Health-Related Factors in the United States: Using Multiscale Geographically Weighted Regression (MGWR)

This study explored the spatial relationship between frequent physical distress (FPD) and socioeconomic as well as health-related factors across the contiguous United States. FPD, defined as having 14 or more physically unhealthy days within the past month, serves as an important measure of overall population health. While many studies have examined the causes of mental distress, research on the geographic variation and social context of physical distress remains limited. Using data from 2673 U.S. counties, this study analyzed how socioeconomic conditions and health indicators relate to FPD at both national and regional levels. Ordinary Least Squares (OLS) multivariate regression model was first used to assess general associations, followed by Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR) to identify spatially varying and scale-dependent relationships. Comparing the GWR and MGWR results revealed that several predictors of FPD operate at different spatial scales, reflecting local heterogeneity in health outcomes. Counties in the southeastern United States, particularly those with higher levels of socioeconomic disadvantage and poorer health conditions, showed elevated FPD rates. These findings highlight the importance of accounting for spatial context when addressing physical distress and suggest that locally tailored public health strategies may be more effective than uniform national approaches.

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Publication Details

Journal
ISPRS International Journal of Geo-Information
Published
2026-03-12
DOI
https://doi.org/10.3390/ijgi15030118
Primary Topic
Health disparities and outcomes
Type
article
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article

Spatial Association Between Frequent Physical Distress (FPD) and Socioeconomic and Health-Related Factors in the United States: Using Multiscale Geographically Weighted Regression (MGWR)

Hoehun Ha
ISPRS International Journal of Geo-Information
Health disparities and outcomes
article

Spatial Association Between Frequent Physical Distress (FPD) and Socioeconomic and Health-Related Factors in the United States: Using Multiscale Geographically Weighted Regression (MGWR)

Hoehun Ha
article en

Abstract

This study explored the spatial relationship between frequent physical distress (FPD) and socioeconomic as well as health-related factors across the contiguous United States. FPD, defined as having 14 or more physically unhealthy days within the past month, serves as an important measure of overall population health. While many studies have examined the causes of mental distress, research on the geographic variation and social context of physical distress remains limited. Using data from 2673 U.S. counties, this study analyzed how socioeconomic conditions and health indicators relate to FPD at both national and regional levels. Ordinary Least Squares (OLS) multivariate regression model was first used to assess general associations, followed by Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR) to identify spatially varying and scale-dependent relationships. Comparing the GWR and MGWR results revealed that several predictors of FPD operate at different spatial scales, reflecting local heterogeneity in health outcomes. Counties in the southeastern United States, particularly those with higher levels of socioeconomic disadvantage and poorer health conditions, showed elevated FPD rates. These findings highlight the importance of accounting for spatial context when addressing physical distress and suggest that locally tailored public health strategies may be more effective than uniform national approaches.

ISPRS International Journal of Geo-InformationVol. 15(3)
Université Bourgogne Franche-Comté (FR), Auburn University at Montgomery (US)
No poverty
Openalex Percentile: Top 31%
Health disparities and outcomes
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