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A cross-sectional analysis of associations between environmental indices and asthma in U.S. counties from 2003 to 2012

Journal of Exposure Science & Environmental Epidemiology volume 32, pages 320–332 (2022)Cite this article

Abstract

Background

To capture the impacts of environmental stressors, environmental indices like the Air Quality Index, Toxic Release Inventory, and Environmental Quality Index have been used to investigate the environmental quality and its association with public health issues. However, past studies often rely on relatively small sample sizes, and they have typically not adjusted for important individual-level disease risk factors.

Objective

We aim to estimate associations between existing environmental indices and asthma prevalence over a large population and multiple years.

Methods

Based on data availability, we assessed the predictive capability of these indices for prevalent asthma across U.S. counties from 2003 to 2012. We gathered asthma data from the U.S. CDC Behavioral Risk Factor Surveillance System by county and used multivariable weighted logistic regression models to estimate the associations between the environmental indices and asthma, adjusting for individual factors such as smoking, income level, and obesity.

Results

Environmental indices showed little to no correlation with one another and with prevalent asthma over time. Associations of environmental indices with prevalent asthma were very weak; whereas individual factors were more substantially associated with prevalent asthma.

Significance

Our study suggests that an improved environmental index is needed to predict population-level asthma prevalence.

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Fig. 1: Correlation between environmental indices and their distributions for ten pooled years of available data.
Fig. 2: Correlation between environmental indices and their distributions for ten pooled years of available data.
Fig. 3: Correlation between environmental indices and their distributions for ten pooled years of available data.
Fig. 4: Prevalent asthma odds ratios and associated 95% confidence intervals for environmental indices by quartile.

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Acknowledgements

The authors thank Kate Dunkelberger for her edits to parts of the manuscript.

Funding

Support for this work was provided by grant NIH R01ES029528.

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  1. School of Community Health Sciences, University of Nevada, Reno, NV, USA

    Patrick Hurbain, Yan Liu, Matthew J. Strickland & Dingsheng Li

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Hurbain, P., Liu, Y., Strickland, M.J. et al. A cross-sectional analysis of associations between environmental indices and asthma in U.S. counties from 2003 to 2012. J Expo Sci Environ Epidemiol 32, 320–332 (2022). https://doi.org/10.1038/s41370-021-00326-4

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