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Hu J, Zeng W, Guo Y, Meng R, Huang S, Zhou C, Xiao Y, Yu M, Huang B, Lu D, He G, Ma W. Modification and mediation effects of ozone on heatwave-mortality association: A time series study in five provinces of China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2025; 378:126493. [PMID: 40398801 DOI: 10.1016/j.envpol.2025.126493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 04/25/2025] [Accepted: 05/19/2025] [Indexed: 05/23/2025]
Abstract
Epidemiological studies have demonstrated that heatwaves are associated with increased mortality risk. However, knowledge about modifying and mediating effects of O3 on this relationship is still insufficient. Daily mortality data for the summer of 2013-2017 were obtained from 278 locations across China. Daily meteorological data for the same period were sourced from the fifth generation of the European reanalysis (ERA5), while daily O3 data were obtained from the China High Air Pollutants (CHAP) dataset. The modification effects of O3 on the heatwave-mortality associations were estimated using multiplicative interaction and additive interaction analyses. A mediation model was employed to assess the mediating effect of O3 on the association. The excess risk (ER) of heatwave on mortality was 9.17 % (95 % confidence interval [CI]: 7.91-10.45 %). Heatwaves were associated with a higher mortality risk during periods of high O3 pollution (ER = 9.68 %, 95 % CI: 8.35-11.05 %) than periods of low O3 pollution (ER = 5.96 %, 95 % CI: 4.23-7.74 %). Additionally, we observed a 2.70 % (95 % CI: 0.20-5.20 %) additive mortality interaction between O3 and heatwaves for the total population, with much higher values among individuals aged ≥85 years (6.80 %, 95 % CI: 2.50-10.90 %) and those with cardiovascular diseases (4.20 %, 95 % CI: 0.60-7.70 %). Moreover, we found that 9.33 % (95 % CI: 7.17-11.76 %) of the heatwave effect on mortality was mediated by O3, with a higher value observed in individuals aged ≥85 years (11.48 %, 95 % CI:8.94-14.33 %). O3 modified and mediated the heatwave-mortality association. Our results provide evidence that O3 may function in a dual capacity: partly mediating the effect of heatwave on mortality and partly modifying the strength of this association. This dual role reflects the complex interplay between meteorological conditions, air quality, and health outcomes.
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Affiliation(s)
- Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Weiquan Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Yanfang Guo
- Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, 518100, China
| | - Ruilin Meng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Shaoli Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Chunliang Zhou
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| | - Yize Xiao
- Yunnan Provincial Center for Disease Control and Prevention, Kunming, 650034, China
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310009, China
| | - Biao Huang
- Jilin Provincial Center for Disease Control and Prevention, Changchun, 130062, China
| | - Dalin Lu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, 510632, China.
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, 510632, China
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Gyaase S, Nyame S, Klipstein-Grobusch K, Asante KP, Downward GS. Climate, Air Quality and Their Contribution to Cardiovascular Disease Morbidity and Mortality in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis. Glob Heart 2025; 20:35. [PMID: 40161860 PMCID: PMC11951997 DOI: 10.5334/gh.1409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Accepted: 02/13/2025] [Indexed: 04/02/2025] Open
Abstract
Background Increasing exposure to climatic features is strongly linked to various adverse health outcomes and mortality. While the link between these features and cardiovascular outcomes is well established, most studies are from high-income countries. Objectives This review synthesizes evidence as well as research gaps on the relationship between climate indicators, household/ambient air pollution, and all-cause cardiovascular disease (CVD) morbidity and mortality in low- and middle-income countries (LMICs). Methods Seven electronic databases were searched up to June 15, 2024. Articles were included if they focused on LMICs, addressed all-cause CVD morbidity and/or mortality, and studied climate or environmental exposures. Studies were selected using ASReview LAB, extracted and analyzed with random effect meta-analysis performed if sufficient articles were identified. Results & Conclusion Out of 7,306 articles, 58 met the inclusion criteria: 26 on morbidity, 29 on mortality, and 3 on both. Exposures included PM10, PM2.5, NO2, SO2, BC, O3, CO, solid fuel usage, and temperature variation. Short-term exposure to PM2.5 was significantly associated with CVD morbidity (RR per 10 µg/m3 increase:1.006, 95% CI 1.003-1.009) and mortality (RR:1.007, 95% CI 1.002-1.012). Short-term exposure to NO2 and O3 also increased CVD mortality risk. Long-term exposure to PM2.5 elevated CVD morbidity (RR per 10 µg/m3 increase:1.131, 95% CI 1.057-1.210) and mortality (RR:1.092, 95% CI 1.030-1.159). High and low temperatures and long-term solid fuel use were linked to CVD deaths. The bulk of studies were from mainland China (72%), which may not accurately reflect the situation in other LMICs. Sub-Saharan Africa was particularly lacking, representing a major research gap.
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Affiliation(s)
- Stephaney Gyaase
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo, Ghana
- Julius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Solomon Nyame
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo, Ghana
- Julius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kerstin Klipstein-Grobusch
- Julius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Kwaku Poku Asante
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo, Ghana
| | - George S. Downward
- Julius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, The Netherlands
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Wang T, Wang J, Sun L, Deng Y, Xiang Y, Wang Y, Chen J, Peng W, Cui Y, He M. Effect of Ozone Exposure on Cardiovascular and Cerebrovascular Disease Mortality in the Elderly. TOXICS 2025; 13:184. [PMID: 40137511 PMCID: PMC11945528 DOI: 10.3390/toxics13030184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Revised: 01/14/2025] [Accepted: 02/26/2025] [Indexed: 03/29/2025]
Abstract
BACKGROUND Ozone pollution has increased alongside China's economic development, contributing to public health issues such as cardiovascular and cerebrovascular diseases. At present, the problem of an aging population is aggravated, which is worth more attention in terms of the health problems of elderly people. METHODS This study employed a distributional lag nonlinear model (DLNM) with Poisson regression to analyze the impact of ozone on cardiovascular and cerebrovascular disease mortality among the elderly in Shenyang, China, from 2014 to 2018. In addition, a time-series generalized additive regression model (GAM) was used to analyze the joint effect between PM2.5 and ozone. RESULTS We found a positive correlation between ozone and mortality from cardiovascular and cerebrovascular diseases in the elderly. The maximum relative risk (RR) of mortality from cardiovascular and cerebrovascular diseases for every 10 μg/m3 increase in ozone was 1.005 (95% CI: 1.002-1.008). Males (RR: 1.018, 95% CI: 1.007-1.030), individuals in unconventional marital status (RR: 1.024, 95% CI: 1.011-1.038), and outdoor workers (RR: 1.017, 95% CI: 1.002-1.031) were more vulnerable to ozone pollution. This study did not find significant differences in the impact of ozone pollution on cardiovascular and cerebrovascular disease mortality risks among different educational groups. Additionally, a joint effect between ozone and PM2.5 was observed. CONCLUSION This study confirms that ozone exposure is positively associated with increased mortality from cardiovascular and cerebrovascular diseases. It emphasizes the joint effect of ozone and PM2.5 in exacerbating cardiovascular and cerebrovascular disease mortality.
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Affiliation(s)
- Tianyun Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Junlong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China; (J.W.); (L.S.)
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China; (J.W.); (L.S.)
| | - Ye Deng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuting Xiang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuting Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Jiamei Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Wen Peng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuanyao Cui
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Miao He
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang 110122, China
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Zhao Y, Ma Y, Liu Z, Wan Z, Jiao H, Feng F, Cheng B. Effect of ambient O 3 on respiratory mortality and synergies with meteorological factors in Shenyang, China. Sci Rep 2025; 15:449. [PMID: 39748092 PMCID: PMC11696727 DOI: 10.1038/s41598-024-84757-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 12/26/2024] [Indexed: 01/04/2025] Open
Abstract
The impact of O3 on the respiratory system is a significant global problem. Nevertheless, there is insufficient information about its impact on respiratory disorders in northeast China. In this study, we used a generalized additive model (GAM) to determine the correlation between O3 concentrations and respiratory deaths based on the daily meteorological data, pollutant concentrations, and respiratory deaths from 2014 to 2016 in Shenyang, a typical city in northeast China. Single and cumulative lag structures and seasonal modification were considered to investigate the link between O3 exposure and respiratory mortality in Shenyang, northeast China. Synergic effects of O3 and meteorological factors were also evaluated. Results indicated that there was a significant correlation between O3 and the number of deaths caused by respiratory diseases on a daily basis, regardless of the time delay between exposure and the occurrence of the deaths. A 10 µg/m3 rise in O3 concentration was associated with a 0.85% (95% CI 0.18-1.52%) increase in respiratory death at a lag of 1 day and a 1.43% (95% CI 0.40-2.48%) increase at a cumulative lag of 3 days. Stratified analyses revealed that O3 had a greater impact on health under warm conditions compared to cold settings. Additionally, O3 had a more pronounced effect on females than on males. The results for this study could provide some scientific guidance for local environment and health departments.
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Affiliation(s)
- Yuhan Zhao
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Zongrui Liu
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Ziyue Wan
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- Liaoning Provincial Meteorological Bureau, Shenyang, 111100, China
| | - Fengliu Feng
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
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Mu J, Zhong H, Jiang M. Effects of ambient PM 2.5 on non-accidental death: a time-series study in Shenzhen, China during 2014-2019. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2025; 35:56-67. [PMID: 38602490 DOI: 10.1080/09603123.2024.2341430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 04/06/2024] [Indexed: 04/12/2024]
Abstract
This study aims to investigate the impact of PM2.5 on non-accidental death of residents. The single-pollutant model revealed that the influence of PM2.5 on non-accidental death was significant at lag0 and lag4-6, and was greatest at lag5. A 10 µg/m3 increase in PM2.5 was related with a 1.31% increase in non-accidental deaths. The connection between PM2.5 and non-accidental death was stronger in femalesthan males, in people aged ≥ 65 years than people aged < 65 years, and in people below high school education than people with high school education or above. Two-pollutant model revealed that the influence of PM2.5 on non-accidental death was essentially unchanged when CO, SO2, and O3 were included and reduced when NO2 was included. The multiple-pollutant model showed that the effect of ambient PM2.5 on non-accidental death was reduced. An increase in PM2.5 concentrations may cause an increase in non-accidental death.
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Affiliation(s)
- Jingfeng Mu
- Department of Public Health, Shenzhen Eye Hospital, Shenzhen, China
| | - Haoxi Zhong
- Department of Public Health, Shenzhen Eye Hospital, Shenzhen, China
| | - Mingjie Jiang
- Department of Public Health, Shenzhen Eye Hospital, Shenzhen, China
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Ren N, Huang H, Liu B, Wu C, Xiang J, Zhou Q, Kang S, Zhang X, Jiang Y. Interactive effects of atmospheric oxidising pollutants and heat waves on the risk of residential mortality. Glob Health Action 2024; 17:2313340. [PMID: 38381455 PMCID: PMC10883108 DOI: 10.1080/16549716.2024.2313340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The impact of heat waves and atmospheric oxidising pollutants on residential mortality within the framework of global climate change has become increasingly important. OBJECTIVE In this research, the interactive effects of heat waves and oxidising pollutants on the risk of residential mortality in Fuzhou were examined. Methods We collected environmental, meteorological, and residential mortality data in Fuzhou from 1 January 2016, to 31 December 2021. We then applied a generalised additive model, distributed lagged nonlinear model, and bivariate three-dimensional model to investigate the effects and interactions of various atmospheric oxidising pollutants and heat waves on the risk of residential mortality. RESULTS Atmospheric oxidising pollutants increased the risk of residential mortality at lower concentrations, and O3 and Ox were positively associated with a maximum risk of 2.19% (95% CI: 0.74-3.66) and 1.29% (95% CI: 0.51-2.08). The risk of residential mortality increased with increasing temperature, with a strong and long-lasting effect and a maximum cumulative lagged effect of 1.11% (95% CI: 1.01, 1.23). Furthermore, an interaction between atmospheric oxidising pollutants and heat waves may have occurred: the larger effects in the longest cumulative lag time on residential mortality per 10 µg/m3 increase in O3, NO2 and Ox during heat waves compared to non-heat waves were [-3.81% (95% CI: -14.82, 8.63)]; [-0.45% (95% CI: -2.67, 1.81)]; [67.90% (95% CI: 11.55, 152.71)]; 16.37% (95% CI: 2.43, 32.20)]; [-3.00% (95% CI: -20.80, 18.79)]; [-0.30% (95% CI: -3.53, 3.04)]. The risk on heat wave days was significantly higher than that on non-heat wave days and higher than the separate effects of oxidising pollutants and heat waves. CONCLUSIONS Overall, we found some evidence suggesting that heat waves increase the impact of oxidising atmospheric pollutants on residential mortality to some extent.
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Affiliation(s)
- Nan Ren
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Huimin Huang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Baoying Liu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Chuancheng Wu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jianjun Xiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Quan Zhou
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Shuling Kang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Xiaoyang Zhang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Yu Jiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
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Xu F, Wu Q, Yang L, Sun H, Li J, An Z, Li H, Wu H, Song J, Chen W, Wu W. Modification of gut and airway microbiota on ozone-induced airway inflammation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 954:176604. [PMID: 39353487 DOI: 10.1016/j.scitotenv.2024.176604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 09/06/2024] [Accepted: 09/27/2024] [Indexed: 10/04/2024]
Abstract
Ground-level ozone (O3) has been shown to induce airway inflammation, the underlying mechanisms remain unclear. The aim of this study was to determine whether gut and airway microbiota dysbiosis, and airway metabolic alterations were associated with O3-induced airway inflammation. Thirty-six 8-week-old male C57BL/6 N mice were divided into 2 groups: sterile water group and broad-spectrum antibiotics group (Abx). Each group was further divided into two subgroups, filtered air group (Air) and O3 group (O3), with 9 mice in each subgroup. Mice in the Air and O3 groups were exposed to filtered air or 1 ppm O3, 4 h/d for 5 consecutive days, respectively. Mice in Abx + Air and Abx + O3 groups were exposed to filtered air or O3, respectively, after drinking broad-spectrum Abx. 24 h after the final O3 exposure, mouse feces and bronchoalveolar lavage fluids (BALF) were collected and subjected to measurements of airway oxidative stress and inflammation biomarkers, 16S rRNA sequencing and metabolite profiling. Hematoxylin-eosin staining of lung tissues was applied to examine the pathological changes of lung tissue. The results showed that O3 exposure resulted in airway oxidative stress and inflammation, as well as gut and airway microbiota dysbiosis, and airway metabolism alteration. Abx pre-treatment markedly changed gut and airway microbiota and promoted O3-induced metabolic disorder and airway inflammation. Spearman correlation analyses indicated that inter-related gut and airway microbiota dysbiosis and airway metabolic disorder were associated with O3-induced airway inflammation. Together, inhaled O3 causes airway inflammation, which may implicate gut and airway microbiota dysbiosis and airway metabolic alterations.
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Affiliation(s)
- Fei Xu
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Qiong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Lin Yang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Han Sun
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Juan Li
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Zhen An
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Huijun Li
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Hui Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Wen Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China.
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Yu P, Xu R, Huang W, Yang Z, Coelho MSZS, Saldiva PHN, Wen B, Wu Y, Ye T, Zhang Y, Sun HZ, Abramson MJ, Li S, Guo Y. Short-term ozone exposure and cancer mortality in Brazil: A nationwide case-crossover study. Int J Cancer 2024; 155:1731-1740. [PMID: 38985095 DOI: 10.1002/ijc.35069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 05/24/2024] [Accepted: 06/06/2024] [Indexed: 07/11/2024]
Abstract
Exposure to ambient ozone (O3) is linked to increased mortality risks from various diseases, but epidemiological investigations delving into its potential implications for cancer mortality are limited. We aimed to examine the association between short-term O3 exposure and site-specific cancer mortality and investigate vulnerable subgroups in Brazil. In total 3,459,826 cancer death records from 5570 Brazilian municipalities between 2000 and 2019, were included. Municipal average daily O3 concentration was calculated from a global estimation at 0.25°×0.25° spatial resolution. The time-stratified case-crossover design was applied to assess the O3-cancer mortality association. Subgroup analyses by age, sex, season, time-period, region, urban hierarchy, climate classification, quantiles of GDP per capita and illiteracy rates were performed. A linear and non-threshold exposure-response relationship was observed for short-term exposure to O3 with cancer mortality, with a 1.00% (95% CI: 0.79%-1.20%) increase in all-cancer mortality risks for each 10-μg/m3 increment of three-day average O3. Kidney cancer was most strongly with O3 exposure, followed by cancers of the prostate, stomach, breast, lymphoma, brain and lung. The associated cancer risks were relatively higher in the warm season and in southern Brazil, with a decreasing trend over time. When restricting O3 concentration to the national minimum value during 2000-2019, a total of 147,074 (116,690-177,451) cancer deaths could be avoided in Brazil, which included 17,836 (7014-28,653) lung cancer deaths. Notably, these associations persisted despite observed adaptation within the Brazilian population, highlighting the need for a focus on incorporating specific measures to mitigate O3 exposure into cancer care recommendations.
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Affiliation(s)
- Pei Yu
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rongbin Xu
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Wenzhong Huang
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Zhengyu Yang
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Micheline S Z S Coelho
- Laboratory of Urban Health Insper/ Faculty of Medicine of the University of São Paulo, Sao Paulo, Brazil
| | - Paulo H N Saldiva
- Laboratory of Urban Health Insper/ Faculty of Medicine of the University of São Paulo, Sao Paulo, Brazil
| | - Bo Wen
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yao Wu
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Tingting Ye
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yiwen Zhang
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Haitong Z Sun
- Centre for Sustainable Medicine (CoSM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Michael J Abramson
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- Climate Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Zhang L, Chen Y, Dong H, Wu D, Chen S, Li X, Liang B, Yang Q. Improving the construction and prediction strategy of the Air Quality Health Index (AQHI) using machine learning: A case study in Guangzhou, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 287:117287. [PMID: 39520752 DOI: 10.1016/j.ecoenv.2024.117287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 10/23/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024]
Abstract
Effectively capturing the risk of air pollution and informing residents is vital to public health. The widely used Air Quality Index (AQI) has been criticized for failing to accurately represent the non-threshold linear relationship between air pollution and health outcomes. Although the Air Quality Health Index (AQHI) was developed to address these limitations, it lacks comprehensive construction criteria. This work proposed a novel construction and prediction strategy of AQHI using machine learning methods. Our RF-Alasso-QGC method integrated Random Forest (RF), Adaptive Lasso (Alasso), and Quantile-based G-Computation (QGC) for effective pollutant selection and AQHI construction. The RF-Alasso method excluded CO, while identified PM10, PM2.5, NO2, SO2, and O3 as major contributors to mortality. The QGC method controlled the additive and synergistic effects among these air pollutants. Compared to the Standard-AQHI, the new RF-Alasso-QGC-AQHI demonstrated a stronger correlation with health outcomes, with an interquartile (IQR) increase associated with a 1.80 % (1.44 %, 2.17 %) increase in total mortality, and the best goodness of fit. Additionally, the hybrid Auto Regressive Moving Average-Long Short Term Memory (ARIMA-LSTM) successfully forecast the new AQHI, achieving a coefficient of determination (R²) of 0.961. The work demonstrated that the improved AQHI construction and prediction strategy more efficiently communicate and provide early warnings of the health risks of multiple air pollutants.
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Affiliation(s)
- Lei Zhang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Yuanyuan Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Hang Dong
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Di Wu
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Sili Chen
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Xin Li
- Institute of Toxicology, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou 511430, China
| | - Boheng Liang
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
| | - Qiaoyuan Yang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China; Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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Zhao K, He F, Zhang B, Liu C, Hu Y, Dong Y, Zhang P, Liu C, Wei J, Lu Z, Guo X, Huang Q, Jia X, Mi J. Short-term ozone exposure on stroke mortality and mitigation by greenness in rural and urban areas of Shandong Province, China. BMC Public Health 2024; 24:2955. [PMID: 39449115 PMCID: PMC11515287 DOI: 10.1186/s12889-024-20454-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 10/17/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND Short-term exposure to ozone (O3) has been associated with higher stroke mortality, but it is unclear whether this association differs between urban and rural areas. The study aimed to compare the association between short-term exposure to O3 and ischaemic and haemorrhagic stroke mortality across rural and urban areas and further investigate the potential impacts of modifiers, such as greenness, on this association. METHODS A multi-county time-series analysis was carried out in 19 counties of Shandong Province from 2013 to 2019. First, we employed generalized additive models (GAMs) to assess the effects of O3 on stroke mortality in each county. We performed random-effects meta-analyses to pool estimates to counties and compare differences in rural and urban areas. Furthermore, a meta-regression model was utilized to assess the moderating effects of county-level features. RESULTS Short-term O3 exposure was found to be associated with increased mortality for both stroke subtypes. For each 10-µg/m3 (lag0-3) rise in O3, ischaemic stroke mortality rose by 1.472% in rural areas and 1.279% in urban areas. For each 0.1-unit increase in the Enhanced Vegetation Index (EVI) per county, the ischaemic stroke mortality caused by a 10-µg/m3 rise in O3 decreased by 0.60% overall and 1.50% in urban areas. CONCLUSIONS Our findings add to the evidence that short-term O3 exposure increases ischaemic and haemorrhagic stroke mortality and has adverse effects in urban and rural areas. However, improving greenness levels may contribute to mitigating the detrimental effects of O3 on ischaemic stroke mortality.
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Affiliation(s)
- Ke Zhao
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Fenfen He
- Department of Occupational and Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xian, China
| | - Bingyin Zhang
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Chengrong Liu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Yang Hu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Yilin Dong
- Liaocheng Centre for Disease Control and Prevention, Liaocheng, China
| | - Peiyao Zhang
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Chao Liu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, 20740, USA
| | - Zilong Lu
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xiaolei Guo
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Qing Huang
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Xianjie Jia
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China.
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
| | - Jing Mi
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China.
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11
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Bai X, Qu H, Ye Z, Wang R, He G, Huang Z, Jiang Z, Zhang C, Li S, Li G. Relationship between short-term exposure to sulfur dioxide and emergency ambulance dispatches due to cardiovascular disease. Environ Epidemiol 2024; 8:e341. [PMID: 39323988 PMCID: PMC11424135 DOI: 10.1097/ee9.0000000000000341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Accepted: 08/22/2024] [Indexed: 09/27/2024] Open
Abstract
Background The relationship between sulfur dioxide (SO2) and cardiovascular disease (CVD) remains inconclusive. We aimed to clarify the association between short-term exposure to SO2 and emergency ambulance dispatches (EADs) due to CVD. Methods We collected daily data on the number of EADs due to CVD, air pollutants, and meteorological factors between October 2013 and June 2018 in Guangzhou, China. We used the quasi-Poisson generalized additive model combined with a distributed lag nonlinear model to estimate the short-term effect of SO2 on EADs due to CVD in multivariable models. Subgroup and sensitivity analyses were also performed. Results A total of 37,889 EADs due to CVD were documented during the study period. The average daily SO2 concentration was 12.5 μg/m3. A significant relationship between SO2 and EADs due to CVD was found, with a relative risk of 1.04 (95% confidence interval: 1.02, 1.06) with each 10 μg/m3 increment of SO2 at lag 0-1. The relationship was stronger in males, for participants aged ≥65 years, and in the cold season; however, no significant modification by subgroup was found in the association between SO2 and EADs due to CVD. Similar results from sensitivity analyses to the main findings were observed. Conclusions Short-term exposure to SO2 was significantly associated with increased EADs due to CVD.
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Affiliation(s)
- Xuerui Bai
- Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Hongying Qu
- Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
| | - Zebing Ye
- Department of Cardiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
| | - Ruoting Wang
- Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zhongguo Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zhiying Jiang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Changfa Zhang
- Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
| | - Shuai Li
- Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China
- Father Sean O'Sullivan Research Centre, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
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12
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Xu C, Yin P, Jiang Y, Lin X, Shi S, Li X, Chen J, Jiang Y, Meng X, Zhou M. Joint Effect of Short-Term Exposure to Fine Particulate Matter and Ozone on Mortality: A Time Series Study in 272 Chinese Cities. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12865-12874. [PMID: 38995089 DOI: 10.1021/acs.est.3c10951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Short-term exposure to PM2.5 or O3 can increase mortality risk; however, limited studies have evaluated their interaction. A multicity time series study was conducted to investigate the synergistic effect of PM2.5 and O3 on mortality in China, using mortality data and high-resolution pollutant predictions from 272 cities in 2013-2015. Generalized additive models were applied to estimate associations of PM2.5 and O3 with mortality. Modification and interaction effects were explored by stratified analyses and synergistic indexes. Deaths attributable to PM2.5 and O3 were evaluated with or without modification of the other pollutant. The risk of total nonaccidental mortality increased by 0.70% for each 10 μg/m3 increase in PM2.5 when O3 levels were high, compared to 0.12% at low O3 levels. The effect of O3 on total nonaccidental mortality at high PM2.5 levels (1.26%) was also significantly higher than that at low PM2.5 levels (0.59%). Similar patterns were observed for cardiovascular or respiratory diseases. The relative excess risk of interaction and synergy index of PM2.5 and O3 on nonaccidental mortality were 0.69% and 1.31 with statistical significance, respectively. Nonaccidental deaths attributable to short-term exposure of PM2.5 or O3 when considering modification of the other pollutant were 28% and 31% higher than those without considering modification, respectively. Our results found synergistic effects of short-term coexposure to PM2.5 and O3 on mortality and suggested underestimations of attributable risks without considering their synergistic effects.
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Affiliation(s)
- Chang Xu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Xiaolei Lin
- School of Data Science, Fudan University, Shanghai 200433, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Xinyue Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Jiaxin Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Yichen Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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13
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Sun F, Gong X, Wei L, Zhang Y, Ge M, Xiong L. Assessing the impact of short-term ozone exposure on excess deaths from cardiovascular disease: a multi-pollutant model in Nanjing, China's Yangtze River Delta. Front Public Health 2024; 12:1353384. [PMID: 38939565 PMCID: PMC11208627 DOI: 10.3389/fpubh.2024.1353384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 06/03/2024] [Indexed: 06/29/2024] Open
Abstract
Background Ozone pollution is associated with cardiovascular disease mortality, and there is a high correlation between different pollutants. This study aimed to assess the association between ozone and cardiovascular disease deaths and the resulting disease burden in Nanjing, China. Methods A total of 151,609 deaths from cardiovascular disease were included in Nanjing, China from 2013 to 2021. Daily data on meteorological and air pollution were collected to apply a generalized additional model with multiple pollutants to perform exposure-response analyses, stratification analysis, and evaluation of excess deaths using various standards. Results In the multi-pollutant model, an increase of 10 μg/m3 in O3 was significantly associated with a 0.81% (95%CI: 0.49, 1.12%) increase in cardiovascular disease deaths in lag05. The correlation weakened in both the single-pollutant model and two-pollutant models, but remained more pronounced in females, the older group, and during warm seasons. From 2013 to 2021, the number of excess deaths attributed to ozone exposure in cardiovascular disease continued to rise with an increase in ozone concentration in Nanjing. If the ozone concentration were to be reduced to the WHO standard and the minimum level, the number of deaths would decrease by 1,736 and 10,882, respectively. Conclusion The risk of death and excess deaths from cardiovascular disease due to ozone exposure increases with higher ozone concentration. Reducing ozone concentration to meet WHO standards or lower can provide greater cardiovascular disease health benefits.
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Affiliation(s)
| | | | | | | | | | - Liling Xiong
- Department of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
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14
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Hu W, Yang J. Effect of ambient ozone pollution on disease burden globally: A systematic analysis for the global burden of disease study 2019. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171739. [PMID: 38508259 DOI: 10.1016/j.scitotenv.2024.171739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Exposure to ambient ozone pollution causes health loss and even death, and both are the main risk factors for the disease burden worldwide. We comprehensively evaluated the ozone pollution-related disease burden. METHODS First, numbers and age-standardized rates of deaths and disability-adjusted life years (DALYs) were assessed globally and by sub-types in 2019. Furthermore, the temporal trend of the disease burden was explored by the linear regression model from 1990 to 2019. The cluster analysis was used to evaluate the changing pattern of related disease burden across Global Burden of Disease Study (GBD) regions. Finally, the age-period-cohort (APC) model and the Bayesian age-period-cohort (BAPC) model were used to predict the future disease burden in the next 25 years. RESULT Exposure to ozone pollution contributed to 365,222 deaths and 6,210,145 DALYs globally in 2019, which accounted for 0.65 % of deaths globally and 0.24 % of DALYs globally. The disease burden was consistently increasing with age. Males were high-risk populations and low-middle socio-demographic index (SDI) regions were high-risk areas. The disease burden of ozone pollution varied considerably across the GBD regions and the countries. In 2019, the number of deaths and DALYs cases increased by 76.11 % and 56.37 %, respectively compared to those in 1990. The predicted results showed that the number of deaths cases and DALYs cases for both genders would still increase from 2020 to 2044. CONCLUSION In conclusion, ambient ozone pollution has threatened public health globally. More proactive and effective strategic measures should be developed after considering global-specific circumstances.
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Affiliation(s)
- Wan Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Junnan Yang
- School of Public Health, BengBu Medical University, 2600 Donghai Avenue, Bengbu, Anhui 233030, China.
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15
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Deng Y, Wang J, Sun L, Wang Y, Chen J, Zhao Z, Wang T, Xiang Y, Wang Y, Chen J, He M. Effects of Ambient O 3 on Respiratory Mortality, Especially the Combined Effects of PM 2.5 and O 3. TOXICS 2023; 11:892. [PMID: 37999544 PMCID: PMC10675328 DOI: 10.3390/toxics11110892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND In China, the increasing concentration of ozone (O3) has emerged as a significant air pollution issue, leading to adverse effects on public health, particularly the respiratory system. Despite the progress made in managing air pollution in China, it is crucial to address the problem of environmental O3 pollution at present. METHODS The connection between O3 exposure and respiratory mortality in Shenyang, China, from 2014 to 2018 was analyzed by a time-series generalized additive regression model (GAM) with quasi-Poisson regression. Additionally, the potential combined effects of fine particulate matter (PM2.5) and O3 were investigated using the synergy index (SI). RESULTS Our findings indicate that each 10 μg/m3 increase in O3 at lag 2 days was associated with a maximum relative risk (RR) of 1.0150 (95% CI: 1.0098-1.0202) for respiratory mortality in the total population. For individuals aged ≥55 years, unmarried individuals, those engaged in indoor occupations, and those with low educational attainment, each 10 μg/m3 increase in O3 at lag 07 days was linked to RR values of 1.0301 (95% CI: 1.0187-1.0417), 1.0437 (95% CI: 1.0266-1.0610), 1.0317 (95% CI: 1.0186-1.0450), and 1.0346 (95% CI: 1.0222-1.0471), respectively. Importantly, we discovered a synergistic effect of PM2.5 and O3, resulting in an SI of 2.372 on the occurrence of respiratory mortality. CONCLUSIONS This study confirmed a positive association between O3 exposure and respiratory mortality. Furthermore, it highlighted the interaction between O3 and PM2.5 in exacerbating respiratory deaths.
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Affiliation(s)
- Ye Deng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Junlong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Yue Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Jiaoyang Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Zhixin Zhao
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Tianyun Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Yuting Xiang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Yuting Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Jiamei Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Miao He
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang 110122, China
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Ma Y, Zhang Y, Wang W, Qin P, Li H, Jiao H, Wei J. Estimation of health risk and economic loss attributable to PM 2.5 and O 3 pollution in Jilin Province, China. Sci Rep 2023; 13:17717. [PMID: 37853161 PMCID: PMC10584970 DOI: 10.1038/s41598-023-45062-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 10/15/2023] [Indexed: 10/20/2023] Open
Abstract
Ambient pollutants, particularly fine particulate matter (PM2.5) and ozone (O3), pose significant risks to both public health and economic development. In recent years, PM2.5 concentration in China has decreased significantly, whereas that of O3 has increased rapidly, leading to considerable health risks. In this study, a generalized additive model was employed to establish the relationship of PM2.5 and O3 exposure with non-accidental mortality across 17 districts and counties in Jilin Province, China, over 2015-2016. The health burden and economic losses attributable to PM2.5 and O3 were assessed using high-resolution satellite and population data. According to the results, per 10 µg/m3 increase in PM2.5 and O3 concentrations related to an overall relative risk (95% confidence interval) of 1.004 (1.001-1.007) and 1.009 (1.005-1.012), respectively. In general, the spatial distribution of mortality and economic losses was uneven. Throughout the study period, a total of 23,051.274 mortalities and 27,825.015 million Chinese Yuan (CNY) in economic losses were attributed to O3 exposure, which considerably surpassing the 5,450.716 mortalities and 6,553,780 million CNY in economic losses attributed to PM2.5 exposure. The O3-related health risks and economic losses increased by 3.75% and 9.3% from 2015 to 2016, while those linked to PM2.5 decreased by 23.33% and 18.7%. Sensitivity analysis results indicated that changes in pollutant concentrations were the major factors affecting mortality rather than baseline mortality and population.
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Affiliation(s)
- Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Wanci Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Pengpeng Qin
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- Meteorological Observatory, Liaoning Provincial Meteorological Bureau, Shenyang, 110000, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, 20740, USA
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Pan Z, Han X, Cao M, Guo J, Huang D, Sun W, Mi J, Liu Y, Xue T, Guan T. Short-term exposure to ozone and ECG abnormalities in China: A nationwide longitudinal study. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132290. [PMID: 37595468 DOI: 10.1016/j.jhazmat.2023.132290] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/25/2023] [Accepted: 08/12/2023] [Indexed: 08/20/2023]
Abstract
Ambient ozone (O3) pollution has been associated with an increased risk of cardiovascular diseases. However, few studies have addressed the effect of O3 exposure on electrocardiogram (ECG) abnormalities, a subclinical indicator of early damage to the cardiovascular system. This study aimed to examine the association between short-term exposure to O3 and ECG abnormalities. We included 102,027 visits of 47,290 participants over 40 years old who had a normal ECG at baseline and then visited again at least once from the China National Stroke Screening Survey (CNSSS). Short-term ozone exposure concentrations were measured as averages of maximum daily 8-h O3 concentrations over the two weeks prior to ECG measurements. The generalized estimation equations models were used to evaluate the association between O3 exposure and ECG abnormalities. For every 10 µg/m3 increment in short-term O3 concentration, the odds ratio of any ECG abnormality was 1.055 (95% confidence interval [CI] 1.045-1.064). For ECG-diagnosed cardiac arrhythmia, the odds ratio was 1.062 (95% CI 1.052-1.072). A nonlinear analysis showed a sublinear relationship between O3 exposure and risk for ECG abnormalities. The association between O3 exposure and ECG abnormalities varied by subpopulation. Our study provided new epidemiological evidence on the association between short-term O3 exposure and ECG abnormalities. There is an urgent need to control ambient O3 pollution to prevent cardiovascular events.
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Affiliation(s)
- Zhaoyang Pan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xueyan Han
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Man Cao
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jian Guo
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Dengmin Huang
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Wei Sun
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jiarun Mi
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Tao Xue
- Institute of Reproductive and Child Health/ National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Advanced Institute of Information Technology, Peking university, Hangzhou, Zhejiang, China.
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
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Zhang Y, Zhang S, Xin J, Wang S, He X, Zheng C, Li S. Short-term joint effects of ambient PM 2.5 and O 3 on mortality in Beijing, China. Front Public Health 2023; 11:1232715. [PMID: 37608983 PMCID: PMC10441666 DOI: 10.3389/fpubh.2023.1232715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/03/2023] [Indexed: 08/24/2023] Open
Abstract
Introduction In recent years, air pollution caused by co-occurring PM2.5 and O3, named combined air pollution (CAP), has been observed in Beijing, China, although the health effects of CAP on population mortality are unclear. Methods We employed Poisson generalized additive models (GAMs) to evaluate the individual and joint effects of PM2.5 and O3 on mortality (nonaccidental, respiratory, and cardiovascular mortality) in Beijing, China, during the whole period (2014-2016) and the CAP period. Adverse health effects were assessed for percentage increases (%) in the three mortality categories with each 10-μg/m3 increase in PM2.5 and O3. The cumulative risk index (CRI) was adopted as a novel approach to quantify the joint effects. Results The results suggested that both PM2.5 and O3 exhibited the greatest individual effects on the three mortality categories with cumulative lag day 01. Increases in the nonaccidental, cardiovascular, and respiratory mortality categories were 0.32%, 0.36%, and 0.43% for PM2.5 (lag day 01) and 0.22%, 0.37%, and 0.25% for O3 (lag day 01), respectively. There were remarkably synergistic interactions between PM2.5 and O3 on the three mortality categories. The study showed that the combined effects of PM2.5 and O3 on nonaccidental, cardiovascular, and respiratory mortality were 0.34%, 0.43%, and 0.46%, respectively, during the whole period and 0.58%, 0.79%, and 0.75%, respectively, during the CAP period. Our findings suggest that combined exposure to PM2.5 and O3, particularly during CAP periods, could further exacerbate their single-pollutant health risks. Conclusion These findings provide essential scientific evidence for the possible creation and implementation of environmental protection strategies by policymakers.
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Affiliation(s)
- Ying Zhang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Shaobo Zhang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China
| | - Jinyuan Xin
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Shigong Wang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China
| | - Xiaonan He
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Canjun Zheng
- Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Shihong Li
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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19
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Cheng J, Zheng H, Wei J, Huang C, Ho HC, Sun S, Phung D, Kim H, Wang X, Bai Z, Hossain MZ, Tong S, Su H, Xu Z. Short-term residential exposure to air pollution and risk of acute myocardial infarction deaths at home in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:76881-76890. [PMID: 37247141 PMCID: PMC10300167 DOI: 10.1007/s11356-023-27813-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 05/17/2023] [Indexed: 05/30/2023]
Abstract
Air pollution remains a major threat to cardiovascular health and most acute myocardial infarction (AMI) deaths occur at home. However, currently established knowledge on the deleterious effect of air pollution on AMI has been limited to routinely monitored air pollutants and overlooked the place of death. In this study, we examined the association between short-term residential exposure to China's routinely monitored and unmonitored air pollutants and the risk of AMI deaths at home. A time-stratified case-crossover analysis was undertaken to associate short-term residential exposure to air pollution with 0.1 million AMI deaths at home in Jiangsu Province (China) during 2016-2019. Individual-level residential exposure to five unmonitored and monitored air pollutants including PM1 (particulate matter with an aerodynamic diameter ≤ 1 μm) and PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 μm), SO2 (sulfur dioxide), NO2 (nitrogen dioxide), and O3 (ozone) was estimated from satellite remote sensing and machine learning technique. We found that exposure to five air pollutants, even below the recently released stricter air quality standards of the World Health Organization (WHO), was all associated with increased odds of AMI deaths at home. The odds of AMI deaths increased by 20% (95% confidence interval: 8 to 33%), 22% (12 to 33%), 14% (2 to 27%), 13% (3 to 25%), and 7% (3 to 12%) for an interquartile range increase in PM1, PM2.5, SO2, NO2, and O3, respectively. A greater magnitude of association between NO2 or O3 and AMI deaths was observed in females and in the warm season. The greatest association between PM1 and AMI deaths was found in individuals aged ≤ 64 years. This study for the first time suggests that residential exposure to routinely monitored and unmonitored air pollutants, even below the newest WHO air quality standards, is still associated with higher odds of AMI deaths at home. Future studies are warranted to understand the biological mechanisms behind the triggering of AMI deaths by air pollution exposure, to develop intervention strategies to reduce AMI deaths triggered by air pollution exposure, and to evaluate the cost-effectiveness, accessibility, and sustainability of these intervention strategies.
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Affiliation(s)
- Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Hao Zheng
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Hung Chak Ho
- Department of Public and International Affairs, City University of Hong Kong , Hong Kong, China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing, China
| | - Dung Phung
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Ho Kim
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
- Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Xiling Wang
- School of Public Health, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Zhongliang Bai
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - Mohammad Zahid Hossain
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
- School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China
- Center for Global Health, Nanjing Medical University, Nanjing, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Hong Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, 4222, Australia.
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Guo K, Yan L, He Y, Li H, Lam SS, Peng W, Sonne C. Phytoremediation as a potential technique for vehicle hazardous pollutants around highways. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 322:121130. [PMID: 36693585 DOI: 10.1016/j.envpol.2023.121130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/14/2023] [Accepted: 01/19/2023] [Indexed: 06/17/2023]
Abstract
With the synchronous development of highway construction and the urban economy, automobiles have entered thousands of households as essential means of transportation. This paper reviews the latest research progress in using phytoremediation technology to remediate the environmental pollution caused by automobile exhaust in recent years, including the prospects for stereoscopic forestry. Currently, most automobiles on the global market are internal combustion vehicles using fossil energy sources as the primary fuel, such as gasoline, diesel, and liquid or compressed natural gas. The composition of vehicle exhaust is relatively complex. When it enters the atmosphere, it is prone to a series of chemical reactions to generate various secondary pollutants, which are very harmful to human beings, plants, animals, and the eco-environment. Despite improving the automobile fuel quality and installing exhaust gas purification devices, helping to reduce air pollution, the treatment costs of these approaches are expensive and cannot achieve zero emissions of automobile exhaust pollutants. The purification of vehicle exhaust by plants is a crucial way to remediate the environmental pollution caused by automobile exhaust and improve the environment along the highway by utilizing the ecosystem's self-regulating ability. Therefore, it has become a global trend to use phytoremediation technology to restore the automobile exhaust pollution. Now, there is no scientific report or systematic review about how plants absorb vehicle pollutants. The screening and configuration of suitable plant species is the most crucial aspect of successful phytoremediation. The mechanisms of plant adsorption, metabolism, and detoxification are reviewed in this paper to address the problem of automobile exhaust pollution.
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Affiliation(s)
- Kang Guo
- Henan Province Engineering Research Center for Biomass Value-added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China
| | - Lijun Yan
- Henan Province Engineering Research Center for Biomass Value-added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yifeng He
- Henan Province Engineering Research Center for Biomass Value-added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China
| | - Hanyin Li
- Henan Province Engineering Research Center for Biomass Value-added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China
| | - Su Shiung Lam
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Center for Transdisciplinary Research, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
| | - Wanxi Peng
- Henan Province Engineering Research Center for Biomass Value-added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Christian Sonne
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, DK-4000 Roskilde, Denmark; Sustainability Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand 248007, India
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21
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Zhang X, Maji KJ, Wang Z, Yang FF, Wang G, Cheng C. Associations between Different Ozone Indicators and Cardiovascular Hospital Admission: A Time-Stratified Case-Crossover Analysis in Guangzhou, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2056. [PMID: 36767423 PMCID: PMC9916254 DOI: 10.3390/ijerph20032056] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 01/13/2023] [Indexed: 05/17/2023]
Abstract
Epidemiological studies reported that ozone (O3) is associated with cardiovascular diseases. However, only few of these studies examined the impact of multiple O3 indicators on cardiovascular hospital admissions. This study aimed to explore and compare the impacts of different O3 indicators on cardiovascular hospital admissions in Guangzhou, China. Based upon the data on daily cardiovascular hospital admissions, air pollution, and meteorological factors in Guangzhou from 2014 to 2018, a time-stratified case-crossover design model was used to analyze the associations between different O3 indicators and cardiovascular hospital admissions. Moreover, the sensitivities of different age and gender groups were analyzed for the whole year and different seasons (i.e., warm and cold). During the warm season, for the single-pollutant model, the odds ratio (OR) value of cardiovascular hospital admissions was 1.0067 (95% confidence interval (CI): 1.0037, 1.0098) for every IQR increase in MDA8 O3 at a lag of five days. The effect of O3 on people over 60 year was stronger than that on the 15-60 years age group. Females were more sensitive than males to O3 exposure. These results provided valuable references for further scientific research and environmental improvement in Guangzhou. Given that short-term O3 exposure poses a threat to human health, the government should therefore pay attention to prevention and control policies to reduce and eliminate O3 pollution and protect human health.
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Affiliation(s)
- Xiangxue Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The Netherlands
| | - Kamal Jyoti Maji
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Zhuoqing Wang
- Department of Scientific Research & Discipline Development, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Fiona Fan Yang
- School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
| | - Guobin Wang
- School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
| | - Changxiu Cheng
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
- National Tibetan Plateau Data Center, Beijing 100101, China
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22
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Li X, Li Y, Yu B, Zhu H, Zhou Z, Yang Y, Liu S, Tian Y, Xiao J, Xing X, Yin L. Health and economic impacts of ambient air pollution on hospital admissions for overall and specific cardiovascular diseases in Panzhihua, Southwestern China. J Glob Health 2022; 12:11012. [PMID: 36538381 PMCID: PMC9805700 DOI: 10.7189/jogh.12.11012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background The associations of ambient air pollution with hospital admissions (HAs) for overall and specific causes of cardiovascular diseases (CVDs), as well as related morbidity and economic burdens remain understudied, especially in low-pollution areas of low- and middle-income countries (LMICs). We evaluated the short-term effects of exposure to PM2.5 (particles with an aerodynamic diameter ≤2.5 μm), PM10 (particles with an aerodynamic diameter ≤10 μm), and SO2 (sulfur dioxide) on HAs for CVDs in Panzhihua, China, during 2016-2020, and calculated corresponding attributable risks and economic burden. Methods We used a generalized additive model (GAM) while controlling for time trends, meteorological conditions, holidays, and days of the week to estimate the associations. The cost of illness (COI) method was adopted to further assess corresponding hospitalization costs and productivity losses. Results A total of 27 660 HAs for CVDs were included in this study. PM10 and SO2 were significantly associated with elevated risks of CVDs hospitalizations. Each 10 μg/m3 increase in PM10 and SO2 at lag06 corresponded to an increase of 2.48% (95% confidence interval (CI) = 0.92%-4.06%), and 5.50% (95% CI = 3.09%-7.97%) in risk of HAs for CVDs, respectively. The risk estimates of PM10 and SO2 on CVD hospitalizations were generally robust after adjustment for other pollutants in two-pollutant models. We found stronger associations between air pollution (PM10 and SO2) and CVDs in cool seasons than in warm seasons. For specific causes of CVDs, significant associations of PM10 and SO2 exposure with cerebrovascular disease and ischaemic heart disease were observed. Using 0 μg/m3 as the reference concentrations, 11.91% (95%CI = 4.64%-18.56%) and 15.71% (95%CI = 9.30%-21.60%) of HAs for CVDs could be attributable to PM10 and SO2, respectively. During the study period, PM10 and SO2 brought 144.34 million Yuan economic losses for overall CVDs, accounting for 0.028% of local GDP. Conclusions Our results suggest that PM10 and SO2 exposure might be an important trigger of HAs for CVDs and accounted for substantial morbidity and economic burden.
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Affiliation(s)
- Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University – Hong Kong Polytechnic University, Chengdu, China
| | - Hongwei Zhu
- Department of dermatology, Panzhihua Central Hospital, Panzhihua, China
| | - Zonglei Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Yan Yang
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China,Department of Respiratory and Critical Care Medicine, Panzhihua Central Hospital, Panzhihua, China
| | - Shunjin Liu
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
| | - Yunyun Tian
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
| | - Junjie Xiao
- Department of Medical Records and Statistics, Panzhihua Central Hospital, Panzhihua, China
| | - Xiangyi Xing
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China,Department of Pharmacy, Panzhihua Central Hospital, Panzhihua, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
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23
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Wang K, Wang W, Lei L, Lan Y, Liu Q, Ren L, Wu S. Association between short-term exposure to ambient air pollution and biomarkers of coagulation: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 215:114210. [PMID: 36030918 DOI: 10.1016/j.envres.2022.114210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Ambient air pollution is one of the major global risk factors for cardiovascular health, and coagulation changes have been proposed to mediate this risk. Plasminogen activator inhibitor-1 (PAI-1), von Willebrand factor (vWF), soluble P-selectin (sP-selectin) and tissue plasminogen activator (t-PA) are major coagulation biomarkers. However, there has been no systematic meta-analysis to summarize associations of ambient air pollution with these coagulation biomarkers. To assess the overall associations between ambient particulate matter (PM2.5, PM10), ozone (O3), nitrogen dioxide (NO2), carbon monoxide (CO) and major coagulation biomarkers including PAI-1, vWF, sP-selectin and t-PA based on the existing epidemiological research. We performed a systematic literature search of publications reporting the associations of ambient air pollutants (PM2.5, PM10, O3, NO2, and CO) with coagulation biomarkers (PAI-1, vWF, sP-selectin and t-PA) in PubMed, Web of Science, EMBASE, and Scopus databases as of April 5, 2022. Then, we performed a random-effect meta-analysis, which included 27 articles, and then identified the potential sources of heterogeneity. The pooled percent changes of coagulation biomarkers per 10 μg/m3 increase in short-term exposure to ambient PM2.5 were 2.43% (95% CI: 0.59%, 4.29%) in PAI-1, 1.08% (95% CI: 0.21%, 1.96%) in vWF and 1.14% (95% CI: 0.59%, 1.68%) in sP-selectin, respectively. We also found significant associations of short-term exposure to ambient O3 with PAI-1 (1.62%, 95% CI: 0.01%, 3.25%), sP-selectin (9.59%, 95% CI:2.78%, 16.86%) and t-PA (0.45%, 95% CI: 0.02%, 0.88%), respectively. Short-term exposures to ambient PM10, NO2 and CO were not significantly associated with changes in coagulation biomarkers. In conclusion, short-term exposures to PM2.5 and O3 are associated with significant increases in coagulation biomarkers, suggesting an activated coagulation state upon air pollution exposure.
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Affiliation(s)
- Kai Wang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Lei Lei
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
| | - Yang Lan
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China
| | - Lihua Ren
- School of Nursing, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China.
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Zhang X, Yan B, Zhou Y, Osei F, Li Y, Zhao H, Cheng C, Stein A. Short-term health impacts related to ozone in China before and after implementation of policy measures: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157588. [PMID: 35882322 DOI: 10.1016/j.scitotenv.2022.157588] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/10/2022] [Accepted: 07/19/2022] [Indexed: 05/29/2023]
Abstract
This paper presents a meta-analysis of the impacts of short-term exposure to ozone (O3) on three health endpoints: all-cause, cardiovascular, and respiratory mortality in China. All relevant studies from January 1990 to December 2021 were searched from four databases. After screening, 30 studies were included for the meta-analysis. The results showed that a significant rise of 0.41 % (95 % confidence interval (CI): 0.35 %-0.48 %) in all-cause, 0.60 % (95 % CI: 0.51 %-0.68 %) in cardiovascular and 0.45 % (95 % CI: 0.28 %-0.62 %) in respiratory mortality for each 10 μg m-3 increase in the maximum daily 8 h average O3 concentration (MDA8 O3). Moreover, results stratified by heterogeneous time periods before and after implementing a policy measure in 2013, showed that the pooled effects for all-cause and respiratory mortality before were greater than those after, while the pooled effects for cardiovascular mortality before 2013 were slightly smaller than those after. The finding that short-term exposure to O3 was positively related to the three health endpoints was validated by means of a sensitivity analysis. Furthermore, we did not observe any publication bias. Our results present an updated and better understanding of the relationship between short-term exposure to O3 and the three health endpoints, while providing a reference for further assessment of the impact of short-term O3 exposure on human health.
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Affiliation(s)
- Xiangxue Zhang
- Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7514AE, the Netherlands
| | - Bin Yan
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yinying Zhou
- School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China
| | - Frank Osei
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7514AE, the Netherlands
| | - Yao Li
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7514AE, the Netherlands
| | - Hui Zhao
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Changxiu Cheng
- Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; National Tibetan Plateau Data Center, Beijing 100101, China.
| | - Alfred Stein
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7514AE, the Netherlands.
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Ma Y, Shen J, Zhang Y, Wang H, Li H, Cheng Y, Guo Y. Short-term effect of ambient ozone pollution on respiratory diseases in western China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2022; 44:4129-4140. [PMID: 35001229 DOI: 10.1007/s10653-021-01174-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/30/2021] [Indexed: 06/14/2023]
Abstract
Ambient air pollution has been regarded as an important cause of the morbidity and mortality of respiratory diseases. In the current work, a total of 469,490 respiratory emergency room (ER) visits in Lanzhou, China from Jan 1, 2013 to Dec 31, 2016 were collected. A generalized additive model (GAM) was used to investigate the association between O3 and respiratory ER visits for the different gender and age subgroups. The results showed that: (a) with per inter-quartile range (IQR) (31 µg/m3) increase in O3, the greatest relative risk (RR) of respiratory ER visits for the total was 1.014 (95% CI 1.008-1.020) at lag 4 days. Females and 16-to-45-year-olds were relatively more sensitive to O3; (b) the significant lag effects were found in single-day lag models, with the highest RR values for different groups were observed at lag 3-lag 5 days. The multi-day cumulative lag effects were stronger for the total; (c) in the multiple-pollutant models, the effects of O3 were generally increased when introducing other pollutants (PM10, PM2.5, SO2 and NO2) for adjustment. This study demonstrated that short-term exposure to O3 increased the RR of respiratory ER visits in Lanzhou, China.
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Affiliation(s)
- Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Jiahui Shen
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yongtao Guo
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
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Jia H, Xu J, Ning L, Feng T, Cao P, Gao S, Shang P, Yu X. Ambient air pollution, temperature and hospital admissions due to respiratory diseases in a cold, industrial city. J Glob Health 2022; 12:04085. [PMID: 36243957 PMCID: PMC9569423 DOI: 10.7189/jogh.12.04085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background The influences of air pollution exposure and temperature on respiratory diseases have become major global health concerns. This study investigated the relationship between ambient air pollutant concentrations and temperature in cold industrial cities that have the risk of hospitalization for respiratory diseases. Methods A time-series study was conducted in Changchun, China, from 2015 to 2019 to analyse the number of daily admissions for respiratory diseases, air pollutant concentrations, and meteorological factors. Time-series decomposition was applied to analyse the trend and characteristics of the number of admissions. Generalized additive models and distributed lag nonlinear models were constructed to explore the effects of air pollutant concentrations and temperature on the number of admissions. Results The number of daily admissions showed an increasing trend, and the seasonal fluctuation was obvious, with more daily admissions in winter and spring than in summer and autumn. There were positive and gradually decreasing lag effects of PM10, PM2.5, NO2, and CO concentrations on the number of admissions, whereas O3 showed a J-shaped trend. The results showed that within the 7-day lag period, 0.5°C was the temperature associated with the lowest relative risk of admission due to respiratory disease, and extremely low and high temperatures (<-18°C, >27°C, respectively) increased the risk of hospitalization for respiratory diseases by 8.3% and 12.1%, respectively. Conclusions From 2015 to 2019, respiratory diseases in Changchun showed an increasing trend with obvious seasonality. The increased concentrations of SO2, NO2, CO, PM2.5, O3 and PM10 lead to an increased risk of hospitalization for respiratory diseases, with a significant lag effect. Both extreme heat and cold could lead to increases in the risk of admission due to respiratory disease.
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Affiliation(s)
- Huanhuan Jia
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Jiaying Xu
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Liangwen Ning
- School of Public Administration, Jilin University, Changchun City, Jilin Province, China
| | - Tianyu Feng
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Peng Cao
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Shang Gao
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Panpan Shang
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Xihe Yu
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
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Zhang Y, Ma Y, Shen J, Li H, Wang H, Cheng B, Ma L. Effect of ambient O 3 on mortality due to circulatory and respiratory diseases in a high latitude city of northeast China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67776-67786. [PMID: 35522413 DOI: 10.1007/s11356-022-20585-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/29/2022] [Indexed: 06/14/2023]
Abstract
In recent years, O3 pollution had been worsening in China and became a major challenge for human health. To evaluate the O3 effects on circulatory and respiratory mortality in Harbin, a high latitude city of northeast China, we applied a time-series study from 2014 to 2016. After collecting data and adjusting for the effects of confounders, we built the generalized additive model to assess the associations between O3 and mortality at different lag days. The results showed that an interquartile-range (IQR) increase in O3 concentration corresponded to excess risk (ER) of 2.00% (95%CI: - 0.25-4.30%) for circulatory mortality at lag 0 and 8.02% (95%CI: 4.18-12.01%) for respiratory mortality at lag 2 days in the single-pollutant model. Stratified analysis showed that O3 had a greater effect on females than on males. The effect of O3 exposure on circulatory mortality was stronger during the warm period, while the opposite trend was founded for respiratory mortality. The sensitivity analysis showed that the effects of O3 were relatively independent and the major results were robust.
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Affiliation(s)
- Yifan Zhang
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China.
| | - Jiahui Shen
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Liya Ma
- Lanzhou Petrochemical Company, Lanzhou, 730060, China
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28
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Li M, Yang Q, Yuan Q, Zhu L. Estimation of high spatial resolution ground-level ozone concentrations based on Landsat 8 TIR bands with deep forest model. CHEMOSPHERE 2022; 301:134817. [PMID: 35523298 DOI: 10.1016/j.chemosphere.2022.134817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 04/04/2022] [Accepted: 04/29/2022] [Indexed: 06/14/2023]
Abstract
In recent years, China has been facing severe ozone (O3) pollution, which poses a remarkable threat to human health. Most estimation methods only provide ozone products at a relatively coarse resolution, such as 5 km, but high-resolution ozone data are essential for ozone pollution prevention and control. To this end, we proposed a new framework for estimating ozone concentrations at 300 m resolution in China based on Landsat 8 infrared (IR) bands and meteorological data using a deep forest (DF) model. DF combines the excellent performance of tree integration with the expressive power of hierarchical distributed representations of neural networks. The accuracy and mapping results of DF are considerably better than some widely used machine learning methods (generalized regression neural regression network and random forest). The sample-based cross-validation (CV), station-based CV, time-based CV, and extrapolation validation show that the estimations of DF are in high agreement with the station observations with determination coefficient values of 0.938, 0.926, 0.687, and 0.660, respectively. The proposed method was used to analyze the spatial and temporal ozone variations at fine scales in three typical Chinese cities (Beijing, Wuhan and Guangzhou), where the mean ozone concentrations during the polluted season are consistent with the land use and urban heat island distribution. The rationality of ozone estimates was verified, and the advantages of high-resolution mapping was demonstrated by comparing the monitoring data from municipal controlling stations in Beijing, 10 km ozone products, and satellite images. Our product can represent spatial details and locate local pollution sources, such as temples. The proposed method has important implications for the fine-scale monitoring of ozone pollution.
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Affiliation(s)
- Muyu Li
- School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei, 430079, China.
| | - Qianqian Yang
- School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei, 430079, China.
| | - Qiangqiang Yuan
- School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei, 430079, China; The Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan, Hubei, 430079, China.
| | - Liye Zhu
- School of Atmospheric Sciences and Key Laboratory of Tropical Atmosphere-Ocean System, Sun Yat-sen University, Ministry of Education and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, Guangdong, 519082, China.
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Review of Ground-Level Ozone Impact in Respiratory Health Deterioration for the Past Two Decades. ATMOSPHERE 2022. [DOI: 10.3390/atmos13030434] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: Ground-level ozone has been gaining notoriety with increasing evidence of its nefarious effects on health, especially respiratory diseases. Where do we stand on the solidity of this data and is there room for improvement? Objectives: Evaluate this evidence for incongruities or heterogeneity in this field of research. How is the exposure assessment conducted, where does Portugal stand in this field, and what can be improved? Health deterioration concerning asthma, chronic obstructive pulmonary disease (COPD), and acute respiratory distress syndrome (ARDS) are analysed. Methods: A review of 1735 studies was conducted through PubMed and Google Scholar engines for the past two decades. We identified 59 eligible studies and included an array of variables, including O3 measurements, number of air-quality monitoring stations used, relative risks, odds ratios, hazard ratios, number of hospital admissions, visits, or mortality, and size of population dataset used. Results: Approximately 83% of data in this review presents significant correlations of ozone with asthma, COPD, and ARDS. Studies that report negative or not significant associations mention a lack of data or topographic differences as the main issue with these divergent results. Studies consistently report summer as a period of particular concern. Portuguese data in this field is lacking. Conclusions: This research field is growing in interest and there is evidence that ozone plays a non-negligible role in health deterioration. The few Portuguese studies in this field seem aligned with the literature reviewed but more research is needed. Suggested improvements are more and better data through denser air-quality networks to accurately depict personal exposure to ozone. Homogenization of the exposure assessment concerning averaging times of ozone to daily maximum 8 h averages whenever possible. Risk increments based on 10 ppb instead of interquartile ranges. Lastly, contrary to some studies in this review, the topographic effect on concentrations and health deterioration should not be underestimated and seasonality should always be checked.
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Barreto D, Silva WR, Mizaikoff B, da Silveira Petruci JF. Monitoring Ozone Using Portable Substrate-Integrated Hollow Waveguide-Based Absorbance Sensors in the Ultraviolet Range. ACS MEASUREMENT SCIENCE AU 2022; 2:39-45. [PMID: 36785589 PMCID: PMC9838723 DOI: 10.1021/acsmeasuresciau.1c00028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Ozone is an oxidizing molecule used for disinfecting a wide variety of environments, such as in dental clinics, and has most recently been promoted as a sanitizing agent to prevent coronavirus transmission. The easy access to ozone-generating sources also enables their ubiquitous use. However, exposure to ozone may seriously affect human health by amplifying or inducing respiratory diseases and distress syndromes and has been associated with premature deaths from other diseases. In this scenario, miniaturized, low-cost, and portable optical sensors based on the absorption signature of ozone in the ultraviolet (UV) range of the electromagnetic spectrum are an innovative approach for providing real-time monitoring of gaseous ozone, ensuring the safety of indoor and workplace environments. In this paper, a miniaturized ozone sensor based on the absorption signature of ozone at deep-UV frequencies was developed by integration of so-called substrate-integrated hollow waveguides (iHWG) with a miniaturized ultraviolet lamp and a fiber-optic USB-connected spectrophotometer. The innovative concept of iHWGs facilitates unprecedented compact dimensions with a high degree of flexibility in the optical design of the actual photon absorption path. The proposed device rapidly responded to the presence of ozone (<1 min) and revealed a suitable linearity (r 2 > 0.99) in the evaluated concentration range. The limit of detection was determined at 29.4 ppbv, which renders the device suitable for measurements in the threshold range of the main regulatory agencies. Given the adaptability and modularity of this platform, we anticipate the application of this innovative concept to be equally suitable for the in situ and real-time analysis of other relevant gases providing suitable UV absorption signatures.
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Affiliation(s)
- Diandra
Nunes Barreto
- Institute
of Chemistry, Federal University of Uberlândia
(UFU), Uberlândia, MG 38408-902, Brazil
| | - Weida Rodrigues Silva
- Institute
of Chemistry, Federal University of Uberlândia
(UFU), Uberlândia, MG 38408-902, Brazil
| | - Boris Mizaikoff
- Institute
of Analytical and Bioanalytical Chemistry, Ulm University, Ulm 89081, Germany
- Hahn-Schickard
Institute for Microanalysis Systems, Ulm 89077, Germany
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Ambient Ozone, PM 1 and Female Lung Cancer Incidence in 436 Chinese Counties. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910386. [PMID: 34639686 PMCID: PMC8508222 DOI: 10.3390/ijerph181910386] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/26/2021] [Accepted: 09/29/2021] [Indexed: 11/16/2022]
Abstract
Ozone air pollution has been increasingly severe and has become another major air pollutant in Chinese cities, while PM1 is more harmful to human health than coarser PMs. However, nationwide studies estimating the effects of ozone and PM1 are quite limited in China. This study aims to assess the spatial associations between ozone (and PM1) and the incidence rate of female lung cancer in 436 Chinese cancer registries (counties/districts). The effects of ozone and PM1 were estimated, respectively, using statistical models controlling for time, location and socioeconomic covariates. Then, three sensitivity analyses including the adjustments of smoking covariates and co-pollutant (SO2) and the estimates of ozone, PM1 and SO2 effects in the same model, were conducted to test the robustness of the effects of the two air pollutants. Further still, we investigated the modifying role of urban-rural division on the effects of ozone and PM1. According to the results, a 10 μg/m3 increase in ozone and PM1 was associated with a 4.57% (95% CI: 4.32%, 16.16%) and 4.89% (95% CI: 4.37%, 17.56%) increase in the incidence rate of female lung cancer relative to its mean, respectively. Such ozone and PM1 effects were still significant in three sensitivity analyses. Regarding the modifying role of urban-rural division, the effect of PM1 was greater by 2.98% (95% CI: 1.01%, 4.96%) in urban than in rural areas when PM1 changed by 10 μg/m3. However, there was no modification effect of urban-rural division for ozone. In conclusion, there were positive associations between ozone (and PM1) and the incidence rate of female lung cancer in China. Urban-rural division may modify the effect of PM1 on the incidence rate of female lung cancer, which is seldom reported. Continuous and further prevention and control measures should be developed to alleviate the situation of the two air pollutants.
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Li B, Yang J, Dong H, Li M, Cai D, Yang Z, Zhang C, Wang H, Hu J, Bergmann S, Lin G, Wang B. PM 2.5 constituents and mortality from a spectrum of causes in Guangzhou, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 222:112498. [PMID: 34265527 DOI: 10.1016/j.ecoenv.2021.112498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 07/04/2021] [Accepted: 07/05/2021] [Indexed: 06/13/2023]
Abstract
As the major constituents of PM2.5, carbonaceous constituents and inorganic ions have attracted emerging attentions on their health risks, particularly on cardiorespiratory diseases. However, evidences on the risks of PM2.5 constituents on other diseases (eg. nervous disease, genitourinary disease, neoplasms and endocrine disease) remain scarce. In our study, we firstly calculated residuals of PM2.5 constituents regressed on PM2.5 to remove the confounding effect of PM2.5. Then, generalized additive model (GAM) was used to assess impacts of residuals of PM2.5 constituents on mortality from 36 diseases (10 broad categories and 26 subcategories) during 2011-2015 in Guangzhou, China. Results of constituent-residual models showed that only EC, OC and NO3- were significantly associated with all-cause mortality, with per IQR change in corresponding constituent residuals related to percentage changes of 1.69% (95% CI: 0.42, 2.97), 1.94% (95% CI: 0.37, 3.54) and 2.59% (95% CI: 1.02, 4.18) at lag 03 days. All these pollutants were significantly associated with elevated mortality risk of cardiovascular disease, but only EC was significantly associated with respiratory mortality, and NO3- with endocrine disease and neoplasm. For more specific causes, the highest effect estimates of EC and NO3-were both observed on mortality from other form of heart disease, and OC on intentional self-harm, with estimates of 11.45% (95% CI: 2.74, 20.91), 12.59% (95% CI: 1.41, 25.02) and 18.01% (95% CI: 2.14, 36.36), respectively. Our findings highlighted that stricter emission control measures are still warranted to reduce air pollution level and protect the public health.
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Affiliation(s)
- Bixia Li
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China.
| | - Hang Dong
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China
| | - Mengmeng Li
- Department of Cancer Prevention, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Dongjie Cai
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Zhou Yang
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Chunlin Zhang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
| | - Hao Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Stéphanie Bergmann
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Guozhen Lin
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China.
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China.
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Short-term effect of fine particulate matter and ozone on non-accidental mortality and respiratory mortality in Lishui district, China. BMC Public Health 2021; 21:1661. [PMID: 34517854 PMCID: PMC8439017 DOI: 10.1186/s12889-021-11713-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 08/29/2021] [Indexed: 11/29/2022] Open
Abstract
Background In recent years, air pollution has become an imminent problem in China. Few studies have investigated the impact of air pollution on the mortality of the middle-aged and elderly people. Therefore, this study aims to evaluate the impact of PM2.5 (fine particulate matter) and O3 (ozone) on non-accidental mortality and respiratory mortality of the middle-aged and elderly people in Lishui District of Nanjing and provide the evidence for potential prevention and control measures of air pollution. Method Using daily mortality and atmospheric monitoring data from 2015 to 2019, we applied a generalized additive model with time-series analysis to evaluate the association of PM2.5 and O3 exposure with daily non-accidental mortality and respiratory mortality in Lishui District. Using the population attributable fractions to estimate the death burden caused by short-term exposure to O3 and PM2.5。. Result For every 10 μg/m3 increase in PM2.5, non-accidental mortality increased 0.94% with 95% confidence interval (CI) between 0.05 and 1.83%, and PM2.5 had a more profound impact on females than males. For every 10 μg/m3 increase in O3, respiratory mortality increased 1.35% (95% CI: 0.05, 2.66%) and O3 had a more profound impact on males than females. Compared with the single pollutant model, impact of the two-pollutant model on non-accidental mortality and respiratory mortality slightly decreased. In summer and winter as opposed to the other seasons, O3 had a more obvious impact on non-accidental mortality. The population attributable fractions of non-accidental mortality were 0.84% (95% CI:0.00, 1.63%) for PM2.5 and respiratory mortality were 0.14% (95% CI:0.01, 0.26%) for O3. For every 10 μg/m3 decrease in PM2.5, 122 (95% CI: 6, 237) non-accidental deaths could be avoided. For every 10 μg/m3 decrease in O3, 10 (95% CI: 1, 38) respiratory deaths could be avoided. Conclusion PM2.5 and O3 could significantly increase the risk of non-accidental and respiratory mortality in the middle-aged and elderly people in Lishui District of Nanjing. Exposed to air pollutants, men were more susceptible to O3 damage, and women were more susceptible to PM2.5 damage. Reduction of PM2.5 and O3 concentration in the air may have the potential to avoid considerable loss of lives.
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Ghaffari HR, Kamari Z, Hassanvand MS, Fazlzadeh M, Heidari M. Level of air BTEX in urban, rural and industrial regions of Bandar Abbas, Iran; indoor-outdoor relationships and probabilistic health risk assessment. ENVIRONMENTAL RESEARCH 2021; 200:111745. [PMID: 34303681 DOI: 10.1016/j.envres.2021.111745] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 07/07/2021] [Accepted: 07/19/2021] [Indexed: 05/09/2023]
Abstract
This study focused on the measurement of BTEX (benzene, toluene, ethylbenzene and xylene) concentrations in the air of various regions and indoor-outdoor environments in Bandar Abbas, Iran. Air samples were taken actively and analyzed by gas chromatography-mass spectrometry (GC-MS) during two one-month periods i.e., Feb 2020 (period I) and Sep/Oct 2020 (period II). The mean air temperature and the levels of all BTEX compounds were higher in period II. The highest total BTEX (t-BTEX) levels (median [min-max]) were found in the urban region (18.00 [5.21-67.24] μg m-3), followed by industrial region (7.00 [2.05-14.76] μg m-3) and rural region (2.81 [ND-7.38] μg m-3). The significant positive correlations between all BTEX compounds and T/B ratio >1 indicated the vehicular traffic as the main source of emission. At 95th percentile probability, the non-cancer risk of t-BTEX in urban region was only less than one order of magnitude below the threshold level of unity (1.91E-01) and the cancer risk of benzene exceeded the recommended level of 1.0E-06 by U.S. EPA in urban (7.69E-06) and industrial (2.97E-06) regions. It was found that the indoor/outdoor ratio of BTEX concentration in beauty salon and hospital was greater than 1. Overall, the current levels of BTEX in the ambient air of study area, especially near urban roadside and in some indoor environments, should not be overlooked and appropriate mitigation actions should be undertaken.
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Affiliation(s)
- Hamid Reza Ghaffari
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran; Department of Environmental Health Engineering, Faculty of Health, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Zohreh Kamari
- Department of Environmental Health Engineering, Faculty of Health, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mohammad Sadegh Hassanvand
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Fazlzadeh
- Social Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Mohsen Heidari
- Department of Environmental Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
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