The External Exposome and Life Expectancy: Formaldehyde as a Leading Predictor in U.S. Counties

Life expectancy in the United States varies significantly by region, a gap often explained by socioeconomic factors like income and education. However, the relative contribution of atmospheric exposures is less understood. We identify formaldehyde exposure and wet-bulb temperature as leading predictors of county-level life expectancy. Our analysis of 22,540 county-year observations (2012–2019) shows that formaldehyde ranked as the second-strongest predictor, surpassed only by educational attainment. Wet-bulb temperature, a physiological measure of heat stress, ranked sixth and was the leading meteorological predictor. We identified these patterns using XGBoost with SHAP analysis, integrating atmospheric exposures, livestock density, socioeconomic conditions, and smoking prevalence within an external exposome framework. These results suggest that air pollutants and heat stress provide predictive information beyond traditional socioeconomic indicators.

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Publication Details

Journal
Air
Published
2026-05-11
DOI
https://doi.org/10.3390/air4020010
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00
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article

The External Exposome and Life Expectancy: Formaldehyde as a Leading Predictor in U.S. Counties

David John Lary, Shisir Ruwali, Faiz Ahmad, Samyak Shrestha
Air
Health, Environment, Cognitive Aging
article

The External Exposome and Life Expectancy: Formaldehyde as a Leading Predictor in U.S. Counties

David John Lary, Shisir Ruwali, Faiz Ahmad, Samyak Shrestha
article en

Abstract

Life expectancy in the United States varies significantly by region, a gap often explained by socioeconomic factors like income and education. However, the relative contribution of atmospheric exposures is less understood. We identify formaldehyde exposure and wet-bulb temperature as leading predictors of county-level life expectancy. Our analysis of 22,540 county-year observations (2012–2019) shows that formaldehyde ranked as the second-strongest predictor, surpassed only by educational attainment. Wet-bulb temperature, a physiological measure of heat stress, ranked sixth and was the leading meteorological predictor. We identified these patterns using XGBoost with SHAP analysis, integrating atmospheric exposures, livestock density, socioeconomic conditions, and smoking prevalence within an external exposome framework. These results suggest that air pollutants and heat stress provide predictive information beyond traditional socioeconomic indicators.

AirVol. 4(2)
The University of Texas at Dallas (US)
No poverty
Openalex Percentile: Top 7%
Health, Environment, Cognitive Aging
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