Edgar Castro, Abbie Liu, Yaguang Wei, Anna Kosheleva, Joel Schwartz
{"title":"Modification of the PM<sub>2.5</sub>- and extreme heat-mortality relationships by historical redlining: a case-crossover study in thirteen U.S. states.","authors":"Edgar Castro, Abbie Liu, Yaguang Wei, Anna Kosheleva, Joel Schwartz","doi":"10.1186/s12940-024-01055-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Redlining has been associated with worse health outcomes and various environmental disparities, separately, but little is known of the interaction between these two factors, if any. We aimed to estimate whether living in a historically-redlined area modifies the effects of exposures to ambient PM<sub>2.5</sub> and extreme heat on mortality by non-external causes.</p><p><strong>Methods: </strong>We merged 8,884,733 adult mortality records from thirteen state departments of public health with scanned and georeferenced Home Owners Loan Corporation (HOLC) maps from the University of Richmond, daily average PM<sub>2.5</sub> from a sophisticated prediction model on a 1-km grid, and daily temperature and vapor pressure from the Daymet V4 1-km grid. A case-crossover approach was used to assess modification of the effects of ambient PM<sub>2.5</sub> and extreme heat exposures by redlining and control for all fixed and slow-varying factors by design. Multiple moving averages of PM<sub>2.5</sub> and duration-aware analyses of extreme heat were used to assess the most vulnerable time windows.</p><p><strong>Results: </strong>We found significant statistical interactions between living in a redlined area and exposures to both ambient PM<sub>2.5</sub> and extreme heat. Individuals who lived in redlined areas had an interaction odds ratio for mortality of 1.0093 (95% confidence interval [CI]: 1.0084, 1.0101) for each 10 µg m<sup>-3</sup> increase in same-day ambient PM<sub>2.5</sub> compared to individuals who did not live in redlined areas. For extreme heat, the interaction odds ratio was 1.0218 (95% CI 1.0031, 1.0408).</p><p><strong>Conclusions: </strong>Living in areas that were historically-redlined in the 1930's increases the effects of exposures to both PM<sub>2.5</sub> and extreme heat on mortality by non-external causes, suggesting that interventions to reduce environmental health disparities can be more effective by also considering the social context of an area and how to reduce disparities there. Further study is required to ascertain the specific pathways through which this effect modification operates and to develop interventions that can contribute to health equity for individuals living in these areas.</p>","PeriodicalId":11686,"journal":{"name":"Environmental Health","volume":"23 1","pages":"16"},"PeriodicalIF":5.3000,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10851491/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1186/s12940-024-01055-5","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Redlining has been associated with worse health outcomes and various environmental disparities, separately, but little is known of the interaction between these two factors, if any. We aimed to estimate whether living in a historically-redlined area modifies the effects of exposures to ambient PM2.5 and extreme heat on mortality by non-external causes.
Methods: We merged 8,884,733 adult mortality records from thirteen state departments of public health with scanned and georeferenced Home Owners Loan Corporation (HOLC) maps from the University of Richmond, daily average PM2.5 from a sophisticated prediction model on a 1-km grid, and daily temperature and vapor pressure from the Daymet V4 1-km grid. A case-crossover approach was used to assess modification of the effects of ambient PM2.5 and extreme heat exposures by redlining and control for all fixed and slow-varying factors by design. Multiple moving averages of PM2.5 and duration-aware analyses of extreme heat were used to assess the most vulnerable time windows.
Results: We found significant statistical interactions between living in a redlined area and exposures to both ambient PM2.5 and extreme heat. Individuals who lived in redlined areas had an interaction odds ratio for mortality of 1.0093 (95% confidence interval [CI]: 1.0084, 1.0101) for each 10 µg m-3 increase in same-day ambient PM2.5 compared to individuals who did not live in redlined areas. For extreme heat, the interaction odds ratio was 1.0218 (95% CI 1.0031, 1.0408).
Conclusions: Living in areas that were historically-redlined in the 1930's increases the effects of exposures to both PM2.5 and extreme heat on mortality by non-external causes, suggesting that interventions to reduce environmental health disparities can be more effective by also considering the social context of an area and how to reduce disparities there. Further study is required to ascertain the specific pathways through which this effect modification operates and to develop interventions that can contribute to health equity for individuals living in these areas.
期刊介绍:
Environmental Health publishes manuscripts on all aspects of environmental and occupational medicine and related studies in toxicology and epidemiology.
Environmental Health is aimed at scientists and practitioners in all areas of environmental science where human health and well-being are involved, either directly or indirectly. Environmental Health is a public health journal serving the public health community and scientists working on matters of public health interest and importance pertaining to the environment.