Association between long-term exposure to wildfire-related PM2.5 and mortality: A longitudinal analysis of the UK Biobank

Yuan Gao; Wenzhong Huang; Rongbin Xu; Danijela Gasevic; Yanming Liu; Wenhua Yu; Pei Yu; Xu Yue; Guowei Zhou; Yan Zhang; Hong Liu; Jiangning Song; Yuming Guo; Shanshan Li

doi:10.1016/j.jhazmat.2023.131779

Association between long-term exposure to wildfire-related PM_2.5 and mortality: A longitudinal analysis of the UK Biobank

Yuan Gao, Wenzhong Huang, Rongbin Xu, Danijela Gasevic, Yanming Liu, Wenhua Yu, Pei Yu, Xu Yue, Guowei Zhou, Yan Zhang, Hong Liu, Jiangning Song, Yuming Guo, Shanshan Li

Research output: Contribution to journal › Article › Research › peer-review

11 Citations (Scopus)

Abstract

Little is known about the associations between long-term exposure to wildfire-related fine particulate matter (PM_2.5) and mortality. We aimed to explore theses associations using the data from the UK Biobank cohort. Long-term wildfire-related PM_2.5 exposure was defined as the 3-year cumulative concentrations of wildfire-related PM_2.5 within a 10-km buffer surrounding the residential address for each individual. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using the time-varying Cox regression model. We included 492,394 participants aged between 38 and 73 years. We found that after adjusting for potential covariates, a 10 μg/m³ increase of wildfire-related PM_2.5 exposure was associated with a 0.4% higher risk of all-cause mortality (HR = 1.004 [95% CI: 1.001, 1.006]) and nonaccidental mortality (HR = 1.004 [95% CI: 1.002, 1.006]), and a 0.5% higher risk of neoplasm mortality (HR = 1.005 [95% CI: 1.002, 1.008]). However, no significant associations were observed between wildfire-related PM_2.5 exposure and mortality from cardiovascular, respiratory, and mental diseases. Additionally, no significant modification effects of a series of modifiers were observed. Targeted health protection strategies should be adopted in response to wildfire-related PM_2.5 exposure, in order to reduce the risk of premature mortality.

Original language	English
Article number	131779
Number of pages	7
Journal	Journal of Hazardous Materials
Volume	457
DOIs	https://doi.org/10.1016/j.jhazmat.2023.131779
Publication status	Published - 5 Sept 2023

Keywords

Cohort
Fine particulate matter
Mortality
Wildfire

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jhazmat.2023.131779Licence: CC BY-NC

Cite this

@article{4db572326abc49e2a74b2baf69af353a,

title = "Association between long-term exposure to wildfire-related PM2.5 and mortality: A longitudinal analysis of the UK Biobank",

abstract = "Little is known about the associations between long-term exposure to wildfire-related fine particulate matter (PM2.5) and mortality. We aimed to explore theses associations using the data from the UK Biobank cohort. Long-term wildfire-related PM2.5 exposure was defined as the 3-year cumulative concentrations of wildfire-related PM2.5 within a 10-km buffer surrounding the residential address for each individual. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using the time-varying Cox regression model. We included 492,394 participants aged between 38 and 73 years. We found that after adjusting for potential covariates, a 10 μg/m3 increase of wildfire-related PM2.5 exposure was associated with a 0.4% higher risk of all-cause mortality (HR = 1.004 [95% CI: 1.001, 1.006]) and nonaccidental mortality (HR = 1.004 [95% CI: 1.002, 1.006]), and a 0.5% higher risk of neoplasm mortality (HR = 1.005 [95% CI: 1.002, 1.008]). However, no significant associations were observed between wildfire-related PM2.5 exposure and mortality from cardiovascular, respiratory, and mental diseases. Additionally, no significant modification effects of a series of modifiers were observed. Targeted health protection strategies should be adopted in response to wildfire-related PM2.5 exposure, in order to reduce the risk of premature mortality.",

keywords = "Cohort, Fine particulate matter, Mortality, Wildfire",

author = "Yuan Gao and Wenzhong Huang and Rongbin Xu and Danijela Gasevic and Yanming Liu and Wenhua Yu and Pei Yu and Xu Yue and Guowei Zhou and Yan Zhang and Hong Liu and Jiangning Song and Yuming Guo and Shanshan Li",

note = "Funding Information: This study was supported by the Australian Research Counci l ( DP210102076 ) and the Australian National Health and Medical Research Council ( APP2000581 ). Funding Information: We thank Dr. Gongbo Chen and Dr. Yadong Lei for preparing and linking the wildfire data. Yuan Gao, Wenzhong Huang, and Pei Yu are supported by China Scholarship Council (Y.G.: 202008110182 ; W.H.: 202006380055 ; P.Y.: 201906210065 ). Rongbin Xu is supported by Monash Faculty of Medicine Nursing and Health Science (FMNHS) Bridging Postdoctoral Fellowships 2022, and NHMRC Center of Research Excellence , Centre for Air pollution, energy and health Research (CAR) Seed Funding. Wenhua Yu is supported by a Monash Graduate Scholarship, Monash International Tuition Scholarship , and a Centre for Air Pollution, Energy, and Health Research (Australia) PhD top-up scholarship. Yuming Guo is supported by Career Development Fellowship ( APP1163693 ) and Leader Fellowship ( APP2008813 ) of the Australian National Health and Medical Research Council. Shanshan Li is supported by an Emerging Leader Fellowship ( APP2009866 ) of the Australian National Health and Medical Research Council . Funding Information: This study was supported by the Australian Research Council (DP210102076) and the Australian National Health and Medical Research Council (APP2000581).We thank Dr. Gongbo Chen and Dr. Yadong Lei for preparing and linking the wildfire data. Yuan Gao, Wenzhong Huang, and Pei Yu are supported by China Scholarship Council (Y.G.: 202008110182; W.H.: 202006380055; P.Y.: 201906210065). Rongbin Xu is supported by Monash Faculty of Medicine Nursing and Health Science (FMNHS) Bridging Postdoctoral Fellowships 2022, and NHMRC Center of Research Excellence, Centre for Air pollution, energy and health Research (CAR) Seed Funding. Wenhua Yu is supported by a Monash Graduate Scholarship, Monash International Tuition Scholarship, and a Centre for Air Pollution, Energy, and Health Research (Australia) PhD top-up scholarship. Yuming Guo is supported by Career Development Fellowship (APP1163693) and Leader Fellowship (APP2008813) of the Australian National Health and Medical Research Council. Shanshan Li is supported by an Emerging Leader Fellowship (APP2009866) of the Australian National Health and Medical Research Council. Publisher Copyright: {\textcopyright} 2023 The Authors",

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doi = "10.1016/j.jhazmat.2023.131779",

language = "English",

volume = "457",

journal = "Journal of Hazardous Materials",

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T1 - Association between long-term exposure to wildfire-related PM2.5 and mortality

T2 - A longitudinal analysis of the UK Biobank

AU - Gao, Yuan

AU - Huang, Wenzhong

AU - Xu, Rongbin

AU - Gasevic, Danijela

AU - Liu, Yanming

AU - Yu, Wenhua

AU - Yu, Pei

AU - Yue, Xu

AU - Zhou, Guowei

AU - Zhang, Yan

AU - Liu, Hong

AU - Song, Jiangning

AU - Guo, Yuming

AU - Li, Shanshan

N1 - Funding Information: This study was supported by the Australian Research Counci l ( DP210102076 ) and the Australian National Health and Medical Research Council ( APP2000581 ). Funding Information: We thank Dr. Gongbo Chen and Dr. Yadong Lei for preparing and linking the wildfire data. Yuan Gao, Wenzhong Huang, and Pei Yu are supported by China Scholarship Council (Y.G.: 202008110182 ; W.H.: 202006380055 ; P.Y.: 201906210065 ). Rongbin Xu is supported by Monash Faculty of Medicine Nursing and Health Science (FMNHS) Bridging Postdoctoral Fellowships 2022, and NHMRC Center of Research Excellence , Centre for Air pollution, energy and health Research (CAR) Seed Funding. Wenhua Yu is supported by a Monash Graduate Scholarship, Monash International Tuition Scholarship , and a Centre for Air Pollution, Energy, and Health Research (Australia) PhD top-up scholarship. Yuming Guo is supported by Career Development Fellowship ( APP1163693 ) and Leader Fellowship ( APP2008813 ) of the Australian National Health and Medical Research Council. Shanshan Li is supported by an Emerging Leader Fellowship ( APP2009866 ) of the Australian National Health and Medical Research Council . Funding Information: This study was supported by the Australian Research Council (DP210102076) and the Australian National Health and Medical Research Council (APP2000581).We thank Dr. Gongbo Chen and Dr. Yadong Lei for preparing and linking the wildfire data. Yuan Gao, Wenzhong Huang, and Pei Yu are supported by China Scholarship Council (Y.G.: 202008110182; W.H.: 202006380055; P.Y.: 201906210065). Rongbin Xu is supported by Monash Faculty of Medicine Nursing and Health Science (FMNHS) Bridging Postdoctoral Fellowships 2022, and NHMRC Center of Research Excellence, Centre for Air pollution, energy and health Research (CAR) Seed Funding. Wenhua Yu is supported by a Monash Graduate Scholarship, Monash International Tuition Scholarship, and a Centre for Air Pollution, Energy, and Health Research (Australia) PhD top-up scholarship. Yuming Guo is supported by Career Development Fellowship (APP1163693) and Leader Fellowship (APP2008813) of the Australian National Health and Medical Research Council. Shanshan Li is supported by an Emerging Leader Fellowship (APP2009866) of the Australian National Health and Medical Research Council. Publisher Copyright: © 2023 The Authors

PY - 2023/9/5

Y1 - 2023/9/5

N2 - Little is known about the associations between long-term exposure to wildfire-related fine particulate matter (PM2.5) and mortality. We aimed to explore theses associations using the data from the UK Biobank cohort. Long-term wildfire-related PM2.5 exposure was defined as the 3-year cumulative concentrations of wildfire-related PM2.5 within a 10-km buffer surrounding the residential address for each individual. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using the time-varying Cox regression model. We included 492,394 participants aged between 38 and 73 years. We found that after adjusting for potential covariates, a 10 μg/m3 increase of wildfire-related PM2.5 exposure was associated with a 0.4% higher risk of all-cause mortality (HR = 1.004 [95% CI: 1.001, 1.006]) and nonaccidental mortality (HR = 1.004 [95% CI: 1.002, 1.006]), and a 0.5% higher risk of neoplasm mortality (HR = 1.005 [95% CI: 1.002, 1.008]). However, no significant associations were observed between wildfire-related PM2.5 exposure and mortality from cardiovascular, respiratory, and mental diseases. Additionally, no significant modification effects of a series of modifiers were observed. Targeted health protection strategies should be adopted in response to wildfire-related PM2.5 exposure, in order to reduce the risk of premature mortality.

AB - Little is known about the associations between long-term exposure to wildfire-related fine particulate matter (PM2.5) and mortality. We aimed to explore theses associations using the data from the UK Biobank cohort. Long-term wildfire-related PM2.5 exposure was defined as the 3-year cumulative concentrations of wildfire-related PM2.5 within a 10-km buffer surrounding the residential address for each individual. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using the time-varying Cox regression model. We included 492,394 participants aged between 38 and 73 years. We found that after adjusting for potential covariates, a 10 μg/m3 increase of wildfire-related PM2.5 exposure was associated with a 0.4% higher risk of all-cause mortality (HR = 1.004 [95% CI: 1.001, 1.006]) and nonaccidental mortality (HR = 1.004 [95% CI: 1.002, 1.006]), and a 0.5% higher risk of neoplasm mortality (HR = 1.005 [95% CI: 1.002, 1.008]). However, no significant associations were observed between wildfire-related PM2.5 exposure and mortality from cardiovascular, respiratory, and mental diseases. Additionally, no significant modification effects of a series of modifiers were observed. Targeted health protection strategies should be adopted in response to wildfire-related PM2.5 exposure, in order to reduce the risk of premature mortality.

KW - Cohort

KW - Fine particulate matter

KW - Mortality

KW - Wildfire

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VL - 457

JO - Journal of Hazardous Materials

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M1 - 131779

ER -

Association between long-term exposure to wildfire-related PM_2.5 and mortality: A longitudinal analysis of the UK Biobank

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

New Knowledge and Research Capacity for Health Impacts of Global Environmental Change with Big Data, Novel Approach and New Technology

Multi-Country Study on Health Effects of Bushfire Air Pollution

Climate Change and Human Health in Asia: Current Impacts, Future Risks, and Health Benefits of Mitigation Policies

Cite this

Association between long-term exposure to wildfire-related PM2.5 and mortality: A longitudinal analysis of the UK Biobank

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Projects

New Knowledge and Research Capacity for Health Impacts of Global Environmental Change with Big Data, Novel Approach and New Technology

Multi-Country Study on Health Effects of Bushfire Air Pollution

Climate Change and Human Health in Asia: Current Impacts, Future Risks, and Health Benefits of Mitigation Policies

Cite this

Association between long-term exposure to wildfire-related PM_2.5 and mortality: A longitudinal analysis of the UK Biobank