County level study of the interaction effect of PM2.5 and climate sustainability on mortality in China

Datos Bibliográficos

ID22087203
AutoresYanan Guo (0000-0001-7371-1637, Chinese Academy of Sciences), Linsheng Yang (0000-0001-9603-6507, Chinese Academy of Sciences), Hairong Li (0000-0001-6098-1689, Chinese Academy of Sciences), Leijie Qiu (Chinese Academy of Sciences), Li Wang (0000-0002-3460-2080, Chinese Academy of Sciences, autor de correspondencia), Lantian Zhang (0009-0003-3262-4491, Chinese Academy of Sciences)
Año2023
Volumen10
Páginas1036272-1036272
Fecha de publicación2023-01-06
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1036272
PMID36684965
OpenAlexW4313650270
IdiomaEN
Citas recibidas1
Referencias citadas65

Introduction PM 2.5 and climate change are two major public health concerns, with majority of the research on their interaction focused on the synergistic effect, particularly for extreme events such as hot or cold temperatures. The climate sustainability index (CLS) was introduced to comprehensively explore the impact of climate change and the interactive effect on human health with air pollution. Methods In this study, a county-level panel data in China was collected and used. The generalized additive model (GAM) and geographically and temporally weighted regression (GTWR) was used to explore the interactive and spatial effect on mortality between CLS and PM 2.5 . Results and discussions Individually, when CLS is higher than 150 or lower than 50, the mortality is higher. Moreover, when PM 2.5 is more than 35 μg/m 3 , the influence on mortality is significantly increased as PM 2.5 concentration rises; when PM 2.5 is above 70 μg/m 3 , the trend is sharp. A nonlinear antagonistic effect between CLS and PM 2.5 was found in this study, proving that the combined adverse health effects of climate change and air pollution, especially when CLS was lower (below 100) and PM 2.5 was higher (above 35 μg/m 3 ), the antagonistic effect was much stronger. From a spatial perspective, the impact of CLS and PM 2.5 on mortality varies in different geographical regions. A negative and positive influence of CLS and PM 2.5 was found in east China, especially in the northeastern and northern regions, -which were heavily polluted. This study illustrated that climate sustainability, at certain level, could mitigate the adverse health influence of air pollution, and provided a new perspective on health risk mitigation from pollution reduction and climate adaptation

Air pollution · Biology · China · Climate change · CLs upper limits · Geography · Public health · Sustainability · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Environmental Science · Health disparities and outcomes · Medicine · Ecology