Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China

Limited evidence is available regarding the impact of ambient inhalable particulate matter (PM) on mental disorder (MD) or dementia-related deaths, particularly PM1, PM1–2.5, and coarse particles (PM2.5–10). Moreover, individual confounders have rarely been considered. In addition, evidence from low...

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Main Authors: Zhi-Ying Zhan, Xin-Ying Xu, Jing Wei, Hai-Yin Fang, Xue Zhong, Mao-Lin Liu, Zi-Shan Chen, Wei-Min Ye, Fei He
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651324000058
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author Zhi-Ying Zhan
Xin-Ying Xu
Jing Wei
Hai-Yin Fang
Xue Zhong
Mao-Lin Liu
Zi-Shan Chen
Wei-Min Ye
Fei He
author_facet Zhi-Ying Zhan
Xin-Ying Xu
Jing Wei
Hai-Yin Fang
Xue Zhong
Mao-Lin Liu
Zi-Shan Chen
Wei-Min Ye
Fei He
author_sort Zhi-Ying Zhan
collection DOAJ
description Limited evidence is available regarding the impact of ambient inhalable particulate matter (PM) on mental disorder (MD) or dementia-related deaths, particularly PM1, PM1–2.5, and coarse particles (PM2.5–10). Moreover, individual confounders have rarely been considered. In addition, evidence from low-pollution areas is needed but is inadequate. Using death records from the Death Registration System during 2015–2021 in Ningde, a coastal city in southeast China, we combined a conditional quasi-Poisson model with a distributed lag nonlinear model to estimate the nonlinear and lagged associations of PM exposure with MD or dementia-related deaths in Ningde, China, comprehensively controlling for individual time-invariant confounders using a time-stratified case-crossover design. The attributable fraction and number were calculated to quantify the burden of MD or dementia-related deaths that were related to PMs. We found J-shaped relationships between MD or dementia-related deaths and PMs, with different thresholds of 13, 9, 19, 33 and 12 μg/m3 for PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10. An inter-quartile range increase for PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10 above the thresholds led to an increase of 31.8% (95% confidence interval, 14.3–51.9%), 53.7% (22.4–93.1%), 32.6% (15.0–53.0%), 35.1% (17.7–55.0%) and 25.9% (13.0–40.3%) in MD-related deaths at lag 0–3 days, respectively. The associations were significant in the cool season rather than in the warm season and were significantly greater among people aged 75–84 years than in others. The fractions of MD-related deaths attributable to PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10 were 5.55%, 6.49%, 7.68%, 10.66%, and 15.11%, respectively; however, only some of them could be protected by the concentrations recommended by the World Health Organisation or China grade I standard. Smaller associations and similar patterns were observed between PMs and dementia-related death. These findings suggest stricter standards, and provide evidence for the development of relevant policies and measures.
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spelling doaj.art-fd02359e012f4b14b39d7b9452bb05272024-02-03T06:34:22ZengElsevierEcotoxicology and Environmental Safety0147-65132024-02-01271115931Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, ChinaZhi-Ying Zhan0Xin-Ying Xu1Jing Wei2Hai-Yin Fang3Xue Zhong4Mao-Lin Liu5Zi-Shan Chen6Wei-Min Ye7Fei He8Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, ChinaDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, ChinaDepartment of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USADepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China; Fuzhou Center for Disease Control and Prevention, Fuzhou 350209, Fujian Province, ChinaDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, ChinaDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, ChinaDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, ChinaDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China; Corresponding authors.Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China; Corresponding authors.Limited evidence is available regarding the impact of ambient inhalable particulate matter (PM) on mental disorder (MD) or dementia-related deaths, particularly PM1, PM1–2.5, and coarse particles (PM2.5–10). Moreover, individual confounders have rarely been considered. In addition, evidence from low-pollution areas is needed but is inadequate. Using death records from the Death Registration System during 2015–2021 in Ningde, a coastal city in southeast China, we combined a conditional quasi-Poisson model with a distributed lag nonlinear model to estimate the nonlinear and lagged associations of PM exposure with MD or dementia-related deaths in Ningde, China, comprehensively controlling for individual time-invariant confounders using a time-stratified case-crossover design. The attributable fraction and number were calculated to quantify the burden of MD or dementia-related deaths that were related to PMs. We found J-shaped relationships between MD or dementia-related deaths and PMs, with different thresholds of 13, 9, 19, 33 and 12 μg/m3 for PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10. An inter-quartile range increase for PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10 above the thresholds led to an increase of 31.8% (95% confidence interval, 14.3–51.9%), 53.7% (22.4–93.1%), 32.6% (15.0–53.0%), 35.1% (17.7–55.0%) and 25.9% (13.0–40.3%) in MD-related deaths at lag 0–3 days, respectively. The associations were significant in the cool season rather than in the warm season and were significantly greater among people aged 75–84 years than in others. The fractions of MD-related deaths attributable to PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10 were 5.55%, 6.49%, 7.68%, 10.66%, and 15.11%, respectively; however, only some of them could be protected by the concentrations recommended by the World Health Organisation or China grade I standard. Smaller associations and similar patterns were observed between PMs and dementia-related death. These findings suggest stricter standards, and provide evidence for the development of relevant policies and measures.http://www.sciencedirect.com/science/article/pii/S0147651324000058Ambient particulate matterMental disordersMortality riskTime-stratified case-crossover designDistributed lag nonlinear model
spellingShingle Zhi-Ying Zhan
Xin-Ying Xu
Jing Wei
Hai-Yin Fang
Xue Zhong
Mao-Lin Liu
Zi-Shan Chen
Wei-Min Ye
Fei He
Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China
Ecotoxicology and Environmental Safety
Ambient particulate matter
Mental disorders
Mortality risk
Time-stratified case-crossover design
Distributed lag nonlinear model
title Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China
title_full Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China
title_fullStr Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China
title_full_unstemmed Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China
title_short Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China
title_sort short term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in ningde china
topic Ambient particulate matter
Mental disorders
Mortality risk
Time-stratified case-crossover design
Distributed lag nonlinear model
url http://www.sciencedirect.com/science/article/pii/S0147651324000058
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