Interactive effects between extreme temperatures and PM <sub>2.5</sub> on cause-specific mortality in thirteen U.S. states

The extent and robustness of the interaction between exposures to heat and ambient PM<sub>2.5</sub> is unclear and little is known of the interaction between exposures to cold and ambient PM<sub>2.5</sub>. Clarifying these interactions, if any, is crucial due to the omnipresence of PM<sub>2.5</sub> in the atmosphere and increasing scope and frequency of extreme temperature events. To investigate both of these interactions, we merged 6 073 575 individual-level mortality records from thirteen states spanning seventeen years with 1 km daily PM<sub>2.5</sub> predictions from sophisticated prediction model and 1 km meteorology from Daymet V4. A time-stratified, bidirectional case-crossover design was used to control for confounding by individual-level, long-term and cyclic weekly characteristics. We fitted conditional logistic regressions with an interaction term between PM<sub>2.5</sub> and extreme temperature events to investigate the potential interactive effects on mortality. Ambient PM<sub>2.5</sub> exposure has the greatest effect on mortality by all internal causes in the 2 d moving average exposure window. Additionally, we found consistently synergistic interactions between a 10 <i>μ</i>g m<sup>-3</sup> increase in the 2 d moving average of PM<sub>2.5</sub> and extreme heat with interaction odds ratios of 1.013 (95% CI: 1.000, 1.026), 1.024 (95% CI: 1.002, 1.046), and 1.033 (95% CI: 0.991, 1.077) for deaths by all internal causes, circulatory causes, and respiratory causes, respectively, which represent 75%, 156%, and 214% increases in the coefficient estimates for PM<sub>2.5</sub> on those days. We also found evidence of interactions on the additive scale with corresponding relative excess risks due to interaction (RERIs) of 0.013 (95% CI: 0.003, 0.021), 0.020 (95% CI: 0.008, 0.031), and 0.017 (95% CI: -0.015, 0.036). Interactions with other PM<sub>2.5</sub> exposure windows were more pronounced. For extreme cold, our results were suggestive of an antagonistic relationship. These results suggest that ambient PM<sub>2.5</sub> interacts synergistically with exposure to extreme heat, yielding greater risks for mortality than only either exposure alone.

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Publication Details

Journal
Environmental Research Letters
Published
2024-11-27
DOI
https://doi.org/10.1088/1748-9326/ad97d1
Citations
6
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
1.89

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article

Interactive effects between extreme temperatures and PM 2.5 on cause-specific mortality in thirteen U.S. states

Anna Kosheleva, Yaguang Wei, Abbie Liu, Joel Schwartz et al.
6 citations
Environmental Research Letters
Climate Change and Health Impacts
1.89
article

Interactive effects between extreme temperatures and PM 2.5 on cause-specific mortality in thirteen U.S. states

Anna Kosheleva, Yaguang Wei, Abbie Liu, Joel Schwartz, Edgar Castro, James Healy
article en
6 citations

Abstract

The extent and robustness of the interaction between exposures to heat and ambient PM<sub>2.5</sub> is unclear and little is known of the interaction between exposures to cold and ambient PM<sub>2.5</sub>. Clarifying these interactions, if any, is crucial due to the omnipresence of PM<sub>2.5</sub> in the atmosphere and increasing scope and frequency of extreme temperature events. To investigate both of these interactions, we merged 6 073 575 individual-level mortality records from thirteen states spanning seventeen years with 1 km daily PM<sub>2.5</sub> predictions from sophisticated prediction model and 1 km meteorology from Daymet V4. A time-stratified, bidirectional case-crossover design was used to control for confounding by individual-level, long-term and cyclic weekly characteristics. We fitted conditional logistic regressions with an interaction term between PM<sub>2.5</sub> and extreme temperature events to investigate the potential interactive effects on mortality. Ambient PM<sub>2.5</sub> exposure has the greatest effect on mortality by all internal causes in the 2 d moving average exposure window. Additionally, we found consistently synergistic interactions between a 10 <i>μ</i>g m<sup>-3</sup> increase in the 2 d moving average of PM<sub>2.5</sub> and extreme heat with interaction odds ratios of 1.013 (95% CI: 1.000, 1.026), 1.024 (95% CI: 1.002, 1.046), and 1.033 (95% CI: 0.991, 1.077) for deaths by all internal causes, circulatory causes, and respiratory causes, respectively, which represent 75%, 156%, and 214% increases in the coefficient estimates for PM<sub>2.5</sub> on those days. We also found evidence of interactions on the additive scale with corresponding relative excess risks due to interaction (RERIs) of 0.013 (95% CI: 0.003, 0.021), 0.020 (95% CI: 0.008, 0.031), and 0.017 (95% CI: -0.015, 0.036). Interactions with other PM<sub>2.5</sub> exposure windows were more pronounced. For extreme cold, our results were suggestive of an antagonistic relationship. These results suggest that ambient PM<sub>2.5</sub> interacts synergistically with exposure to extreme heat, yielding greater risks for mortality than only either exposure alone.

Environmental Research LettersVol. 20(1)
Harvard University (US)
U.S. Environmental Protection Agency, National Institutes of Health, National Institute of Environmental Health Sciences
Good health and well-being
Openalex Percentile: Top 15%
Climate Change and Health Impacts
1.89
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