Socioenvironmental Vulnerability Profiles and Health Expenditure in Mexican Households Using Data Science

This study aimed to identify socioenvironmental vulnerability profiles among Mexican households and analyze their association with health expenditure. Data from 86,102 households included in the 2024 National Household Income and Expenditure Survey were analyzed. Socioenvironmental profiles were constructed using housing, basic services, sanitation, household energy, socioeconomic stratum, and overcrowding through factor analysis of mixed data and k-means. Internal validation, stability analyses, algorithm comparisons, and sensitivity analyses supported a three-profile solution representing low, intermediate, and high vulnerability. Health expenditure was examined using survey-weighted descriptive estimates, exploratory nonparametric comparisons, and a survey-adjusted two-part model. The intermediate vulnerability profile showed higher odds of reporting health expenditure than the low vulnerability profile (OR = 1.129, 95% CI: 1.048 to 1.217, p = 0.002), whereas the high vulnerability profile showed no significant difference. Among households with positive expenditure, high vulnerability was associated with lower logarithmic expenditure (β=−0.341, 95% CI: −0.490 to −0.192, p < 0.001), whereas the intermediate profile was not significantly different in the main model. The association for high vulnerability remained significant in sensitivity analyses, while results for the intermediate profile were more sensitive to model specification and income adjustment. Despite several statistically significant associations, effect sizes in the exploratory comparisons were small and the regression models explained a limited proportion of the variability in health expenditure. The findings therefore indicate modest associations between socioenvironmental vulnerability and health expenditure, with household economic resources and other unmeasured health-related factors likely contributing to the observed differences.

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Journal
Big Data and Cognitive Computing
Published
2026-08-25
DOI
https://doi.org/10.3390/bdcc10090284
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
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article

Socioenvironmental Vulnerability Profiles and Health Expenditure in Mexican Households Using Data Science

Cristina Almeida Perales, Eduardo Ahumada‐Tello, Héctor Alejandro Acuña-Cid, Mónica Judith Chávez Soto et al.
Big Data and Cognitive Computing
Healthcare Systems and Reforms
article

Socioenvironmental Vulnerability Profiles and Health Expenditure in Mexican Households Using Data Science

Cristina Almeida Perales, Eduardo Ahumada‐Tello, Héctor Alejandro Acuña-Cid, Mónica Judith Chávez Soto, José Eduardo Briceño-Muro, Pablo Gerardo Guerrero-Herrera
article en

Abstract

This study aimed to identify socioenvironmental vulnerability profiles among Mexican households and analyze their association with health expenditure. Data from 86,102 households included in the 2024 National Household Income and Expenditure Survey were analyzed. Socioenvironmental profiles were constructed using housing, basic services, sanitation, household energy, socioeconomic stratum, and overcrowding through factor analysis of mixed data and k-means. Internal validation, stability analyses, algorithm comparisons, and sensitivity analyses supported a three-profile solution representing low, intermediate, and high vulnerability. Health expenditure was examined using survey-weighted descriptive estimates, exploratory nonparametric comparisons, and a survey-adjusted two-part model. The intermediate vulnerability profile showed higher odds of reporting health expenditure than the low vulnerability profile (OR = 1.129, 95% CI: 1.048 to 1.217, p = 0.002), whereas the high vulnerability profile showed no significant difference. Among households with positive expenditure, high vulnerability was associated with lower logarithmic expenditure (β=−0.341, 95% CI: −0.490 to −0.192, p < 0.001), whereas the intermediate profile was not significantly different in the main model. The association for high vulnerability remained significant in sensitivity analyses, while results for the intermediate profile were more sensitive to model specification and income adjustment. Despite several statistically significant associations, effect sizes in the exploratory comparisons were small and the regression models explained a limited proportion of the variability in health expenditure. The findings therefore indicate modest associations between socioenvironmental vulnerability and health expenditure, with household economic resources and other unmeasured health-related factors likely contributing to the observed differences.

Big Data and Cognitive ComputingVol. 10(9)
Mexican Social Security Institute (MX), Universidad Autónoma de Baja California (MX), Universidad Politécnica de Zacatecas (MX), Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
No poverty
Openalex Percentile: Top 6%
Healthcare Systems and Reforms
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