Wildfire-related PM2.5 and cause-specific cancer mortality

Wildfires have devastating effects on society and public health. However, little evidence from population-based cohort has been performed to analyze the relationship of wildfire-related PM<sub>2.5</sub>, an important component of wildfire smoke, with cancer-specific mortality. We aimed to explore this relationship and identify vulnerable populations in UK with lower levels of wildfire-related PM<sub>2.5</sub> exposure. The study consisted of 492394 participants (age: 38-73 years) recruited by UK Biobank during 2004-2010. The cumulative wildfire-related PM<sub>2.5</sub> within 10 kilometers of residence over three years was used as exposure, which was assessed by chemical transport and machine learning models. A time-varying Cox regression was utilized to explore the relationship of exposure with diverse cancer-specific mortality outcomes. Subgroup analyses of a range of potential modifiers were performed. Each 10 μg/m<sup>3</sup> increment of 3-year cumulative exposure was related to a 0.4 % greater risk of total cancer (95 %CI: 1.001-1.007), a 1.1 % greater risk of lung cancer (95 %CI: 1.004-1.018), and a 2.7 % greater risk of lip, oral cavity and pharynx (LOP) cancer (95 %CI: 1.005-1.049). Higher vulnerability in the wildfire-related PM<sub>2.5</sub>-lung cancer relationship was found among participants being retired than those with other employment status. Even lower levels of exposure to PM<sub>2.5</sub> from wildfires were related to elevated mortality risks for cancer from total, lung, LOP, highlighting the importance of wildfire prevention and control. Further investigations are warranted to enrich and extend existing knowledge in this field.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2024-09-14
DOI
https://doi.org/10.1016/j.ecoenv.2024.117023
Citations
10
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
3.15
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Wildfire-related PM2.5 and cause-specific cancer mortality

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10 citations
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article

Wildfire-related PM2.5 and cause-specific cancer mortality

Danijela Gašević, Jiangning Song, Guowei Zhou, Rongbin Xu, Xu Yue, Wenzhong Huang, Shanshan Li, Yanming Liu, Hong Liu, Yan Zhang, Yuming Guo, Yuan Gao, Zhihu Xu
article en
10 citations

Abstract

Wildfires have devastating effects on society and public health. However, little evidence from population-based cohort has been performed to analyze the relationship of wildfire-related PM<sub>2.5</sub>, an important component of wildfire smoke, with cancer-specific mortality. We aimed to explore this relationship and identify vulnerable populations in UK with lower levels of wildfire-related PM<sub>2.5</sub> exposure. The study consisted of 492394 participants (age: 38-73 years) recruited by UK Biobank during 2004-2010. The cumulative wildfire-related PM<sub>2.5</sub> within 10 kilometers of residence over three years was used as exposure, which was assessed by chemical transport and machine learning models. A time-varying Cox regression was utilized to explore the relationship of exposure with diverse cancer-specific mortality outcomes. Subgroup analyses of a range of potential modifiers were performed. Each 10 μg/m<sup>3</sup> increment of 3-year cumulative exposure was related to a 0.4 % greater risk of total cancer (95 %CI: 1.001-1.007), a 1.1 % greater risk of lung cancer (95 %CI: 1.004-1.018), and a 2.7 % greater risk of lip, oral cavity and pharynx (LOP) cancer (95 %CI: 1.005-1.049). Higher vulnerability in the wildfire-related PM<sub>2.5</sub>-lung cancer relationship was found among participants being retired than those with other employment status. Even lower levels of exposure to PM<sub>2.5</sub> from wildfires were related to elevated mortality risks for cancer from total, lung, LOP, highlighting the importance of wildfire prevention and control. Further investigations are warranted to enrich and extend existing knowledge in this field.

Ecotoxicology and Environmental SafetyVol. 285
Central South University (CN), Nanjing University of Information Science and Technology (CN), Discovery Institute (US), Monash Health (AU), Centre for Global Health Research (CA), Xiangya Hospital Central South University (CN), Monash University (AU)
Good health and well-being
Openalex Percentile: Top 8%
Air Quality and Health Impacts
3.15
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