Associations between flood risk and US Census tract-level health outcomes.
Autor: | Sheng A; Department of Statistics, College of Sciences, North Carolina State University, Raleigh, NC 27695, United States., Reich BJ; Department of Statistics, College of Sciences, North Carolina State University, Raleigh, NC 27695, United States., Messier KP; Predictive Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC 27713, United States.; Biostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, United States. |
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Jazyk: | angličtina |
Zdroj: | American journal of epidemiology [Am J Epidemiol] 2024 Oct 07; Vol. 193 (10), pp. 1384-1391. |
DOI: | 10.1093/aje/kwae093 |
Abstrakt: | Human-induced climate change has led to more frequent and severe flooding around the globe. We examined the association between flood risk and the prevalence of coronary heart disease, high blood pressure, asthma, and poor mental health in the United States, while taking into account different levels of social vulnerability. We aggregated flood risk variables from First Street Foundation data by census tract and used principal component analysis to derive a set of 5 interpretable flood risk factors. The dependent variables were census-tract level disease prevalences generated by the Centers for Disease Control and Prevention. Bayesian spatial conditional autoregressive models were fit on these data to quantify the relationship between flood risk and health outcomes under different stratifications of social vulnerability. We show that 3 flood risk principal components had small but significant associations with each of the health outcomes across the different stratifications of social vulnerability. Our analysis gives, to our knowledge, the first United States-wide estimates of the associated effects of flood risk on specific health outcomes. We also show that social vulnerability is an important moderator of the relationship between flood risk and health outcomes. Our approach can be extended to other ecological studies that examine the health impacts of climate hazards. This article is part of a Special Collection on Environmental Epidemiology. (Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2024.) |
Databáze: | MEDLINE |
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