[HTML][HTML] The gender-based differences in vulnerability to ambient air pollution and cerebrovascular disease mortality: evidences based on 26781 deaths

G Liu, B Sun, L Yu, J Chen, B Han, Y Li, J Chen - Global heart, 2020 - ncbi.nlm.nih.gov
G Liu, B Sun, L Yu, J Chen, B Han, Y Li, J Chen
Global heart, 2020ncbi.nlm.nih.gov
The gender-based differences in the vulnerability to ambient air pollution have not been
widely explored. This study aimed to investigate vulnerability differences to the short-term
effects of PM 2.5, PM 10 and O 3 between cerebrovascular diseases (CEVD) deaths of men
and women. The general additive models (GAMs) and distributed lag non-linear models
(DLNMs) were adopted, and both single-pollutant and two-pollutant models were performed
to analyze the associations between ambient air pollution and daily CEVD deaths. Both …
Abstract
The gender-based differences in the vulnerability to ambient air pollution have not been widely explored. This study aimed to investigate vulnerability differences to the short-term effects of PM 2.5, PM 10 and O 3 between cerebrovascular diseases (CEVD) deaths of men and women. The general additive models (GAMs) and distributed lag non-linear models (DLNMs) were adopted, and both single-pollutant and two-pollutant models were performed to analyze the associations between ambient air pollution and daily CEVD deaths. Both models indicated that O 3 was the most suspicious pollutant that could induce excess CEVD deaths, and women tended to be more vulnerable to O 3. These results were confirmed by seasonal analysis, in which we also found both genders were more vulnerable to O 3 in winter. The exposure-response relationships revealed that women were usually more vulnerable to ambient air pollution than men, and the exposure-response curves differed significantly between genders. Our findings suggested that more attention should be paid on the adverse effects of ambient O 3, and the protection of women CEVD population against air pollution should be emphasized.
ncbi.nlm.nih.gov
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