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Fazakas E, Neamtiu IA, Gurzau ES. Health effects of air pollutant mixtures (volatile organic compounds, particulate matter, sulfur and nitrogen oxides) - a review of the literature. REVIEWS ON ENVIRONMENTAL HEALTH 2023; 0:reveh-2022-0252. [PMID: 36932657 DOI: 10.1515/reveh-2022-0252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
The health risks associated with individual air pollutant exposures have been studied and documented, but in real-life, the population is exposed to a multitude of different substances, designated as mixtures. A body of literature on air pollutants indicated that the next step in air pollution research is investigating pollutant mixtures and their potential impacts on health, as a risk assessment of individual air pollutants may actually underestimate the overall risks. This review aims to synthesize the health effects related to air pollutant mixtures containing selected pollutants such as: volatile organic compounds, particulate matter, sulfur and nitrogen oxides. For this review, the PubMed database was used to search for articles published within the last decade, and we included studies assessing the associations between air pollutant mixtures and health effects. The literature search was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A number of 110 studies were included in the review from which data on pollutant mixtures, health effects, methods used, and primary results were extracted. Our review emphasized that there are a relatively small number of studies addressing the health effects of air pollutants as mixtures and there is a gap in knowledge regarding the health effects associated with these mixtures. Studying the health effects of air pollutant mixtures is challenging due to the complexity of components that mixtures may contain, and the possible interactions these different components may have.
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Affiliation(s)
- Emese Fazakas
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Faculty of Environmental Science and Engineering, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Iulia A Neamtiu
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Faculty of Environmental Science and Engineering, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Eugen S Gurzau
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Research Center for functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Liu H, Zhai S, Kong Y, Wang Z, Song G, Song H, Liang L, Liu X, Jiang X, Wu L. Synergistic effects of gaseous pollutants on hospital admissions for cardiovascular disease in Liuzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:9841-9851. [PMID: 34508314 DOI: 10.1007/s11356-021-16334-8] [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: 06/03/2021] [Accepted: 08/31/2021] [Indexed: 06/13/2023]
Abstract
Previous studies demonstrated that short-term exposure to gaseous pollutants (nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3)) had a greater adverse effect on cardiovascular disease. However, little evidence exists regarding the synergy between gaseous pollutants and cardiovascular disease (CVD). Therefore, we aimed to estimate the effect of individual gaseous pollutants on hospital admissions for CVD and to explore the possible synergistic effects between gaseous pollutants. Daily hospitalization counts for CVD were collected from January 1, 2014, to December 31, 2015. We also collected daily time series on gaseous pollutants from the Environment of the People's Republic of China, including NO2, SO2, and O3. We used distributed lag nonlinear models (DLNMs) to assess the association of individual gaseous pollutants on CVD hospitalization, after controlling for seasonality, day of the week, public holidays, and weather variables. Then, we explored the variability across age and sex groups. In addition, we analyzed the synergistic effects between gaseous pollutants on CVD. Extremely low NO2 and SO2 increase the risk of CVD in all subgroup at lag 7 days. The greatest effect of high concentration of SO2 was observed in male and the elderly (≥ 65 years) at lag 3 days. Greater effects of high concentration of O3 were more pronounced in the young (< 65 years) and female at lag 3 days, while the effect of low concentration of O3 was greater in male and the young (< 65 years) at lag 0 day. We found a synergistic effect between NO2 and SO2 for CVD, as well as between SO2 and O3. The synergistic effects of NO2 and SO2 on CVD were stronger in the elderly (≥ 65) and female. The female was sensitive to synergistic effects of SO2-O3 and NO2-O3. Interestingly, we found that there was a risk of CVD in the susceptible population even for gaseous pollutant concentrations below the National Environmental Quality Standard. The synergy between NO2 and SO2 was significantly associated with cardiovascular disease hospitalization in the elderly (≥ 65). This study provides evidence for the synergistic effect of gaseous pollutants on hospital admissions for cardiovascular disease.
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Affiliation(s)
- Huan Liu
- College of Geography and Environmental Science, Henan University, Henan, 475004, Kaifeng, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Henan University, Kaifeng, 475004, Henan, China
| | - Shiyan Zhai
- College of Geography and Environmental Science, Henan University, Henan, 475004, Kaifeng, China.
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Henan University, Kaifeng, 475004, Henan, China.
| | - Yunfeng Kong
- College of Geography and Environmental Science, Henan University, Henan, 475004, Kaifeng, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Henan University, Kaifeng, 475004, Henan, China
| | - Zheng Wang
- College of Geography and Environmental Science, Henan University, Henan, 475004, Kaifeng, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Henan University, Kaifeng, 475004, Henan, China
| | - Genxin Song
- College of Geography and Environmental Science, Henan University, Henan, 475004, Kaifeng, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Henan University, Kaifeng, 475004, Henan, China
| | - Hongquan Song
- College of Geography and Environmental Science, Henan University, Henan, 475004, Kaifeng, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Henan University, Kaifeng, 475004, Henan, China
| | - Lizhong Liang
- The Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China
| | - Xiaoxiao Liu
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Xintong Jiang
- College of Geography and Environmental Science, Henan University, Henan, 475004, Kaifeng, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Henan University, Kaifeng, 475004, Henan, China
| | - Leying Wu
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475001, China
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Zhu Y, Peng L, Li H, Pan J, Kan H, Wang W. Temporal variations of short-term associations between PM 10 and NO 2 concentrations and emergency department visits in Shanghai, China 2008-2019. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 229:113087. [PMID: 34922167 DOI: 10.1016/j.ecoenv.2021.113087] [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: 07/08/2021] [Revised: 12/06/2021] [Accepted: 12/12/2021] [Indexed: 06/14/2023]
Abstract
Levels and constituents of ambient air pollution have substantially changed in China over the last decade. Such changes may lead to the variations in health effects of air pollution. Very limited studies, however, have investigated the temporal variations in health effects of air pollution on a long-term scale, especially in China. We evaluated the temporal variations in short-term associations between PM10 and NO2 concentrations and emergency department (ED) visits during a 12-year period from 2008 to 2019 in Shanghai, China. A quasi-Poisson generalized linear regression was performed to assess the associations between PM10 and NO2 concentrations and ED visits during entire study period and three specific periods. We evaluated the temporal variations of period-specific associations with an interaction variable between pollutant concentrations and period indicators. We further investigated the concentration-response relationships for specific periods. The effects on specific subpopulations (males and females; 18-65 years old and >65 years old) were also examined. A 10 μg/m3 increase of PM10 and NO2 corresponded to 0.48% (95% CI: 0.36%, 0.59%) and 1.51% (95% CI: 1.25%, 1.78%) increase in ED visits at lag0-7 day for entire study period, respectively. The short-term associations between ED visits and NO2 remained unchanged over time (P-value > 0.05), while the effects from PM10 were significantly inconsistent (P-value < 0.05), with the highest effect observed during the intermediate period of 2012-2015 and the lowest effect observed during the initial period of 2008-2011. Similar temporal trends were found in subgroups, except for elderly group. Despite substantial reduction in ambient PM10 and NO2 concentrations, the short-term effects on ED visits for NO2 remained stable and even increased for PM10. More efforts were needed to reduce harmful components in air pollution mixture to reduce the health hazards of air pollution.
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Affiliation(s)
- Yue Zhu
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Li Peng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai, China
| | - Hao Li
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Jinhua Pan
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Weibing Wang
- School of Public Health, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai, China; Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China.
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Air Pollution and Emergency Hospital Admissions—Evidences from Lisbon Metropolitan Area, Portugal. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10227997] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The relevance of air pollution in the public health agenda has recently been reinforced—it is known that exposure to it has negative effects in the health of individuals, especially in big cities and metropolitan areas. In this article we observed the evolution of air pollutants (CO, NO, NO2, O3, PM10) emissions and we confront them with health vulnerabilities related to respiratory and circulatory diseases (all circulatory diseases, cardiac diseases, cerebrovascular disease, ischemic heart disease, all respiratory diseases, chronic lower respiratory diseases, acute upper respiratory infections). The study is supported in two databases, one of air pollutants and the other of emergency hospital admissions, in the 2005–2015 period, applied to the Lisbon Metropolitan Area. The analysis was conducted through Ordinary Least Squares (OLS) regression, while also using semi-elasticity to quantify associations. Results showed positive associations between air pollutants and admissions, tendentially higher in respiratory diseases, with CO and O3 having the highest number of associations, and the senior age group being the most impacted. We concluded that O3 is a good predictor for the under-15 age group and PM10 for the over-64 age group; also, there seems to exist a distinction between the urban city core and its suburban areas in air pollution and its relation to emergency hospital admissions.
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Jiang Y, Chen J, Wu C, Lin X, Zhou Q, Ji S, Yang S, Zhang X, Liu B. Temporal cross-correlations between air pollutants and outpatient visits for respiratory and circulatory system diseases in Fuzhou, China. BMC Public Health 2020; 20:1131. [PMID: 32690064 PMCID: PMC7370472 DOI: 10.1186/s12889-020-08915-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 05/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous studies have suggested that there is an association between air pollutants and circulatory and respiratory diseases; however, relatively few have analyzed the association between air pollutants and outpatient visits based on the mortality, hospitalization rates, etc., especially in areas with relatively good air quality. Therefore, we conducted this study to research the association between air pollutants and outpatient visits in Fuzhou, China. METHODS We used a generalized linear Poisson model to study the association between air pollution and outpatient visits for respiratory and circulatory diseases from 2016 to 2018 in Fuzhou, China. RESULTS In the single pollutant model, nitrogen dioxide (NO2) had a significant effect. For lag day 0 to lag day 5, the effect decreased with every 10 μg/L increase in NO2. The daily maximum 8-h mean ozone (O3-8h) and upper respiratory outpatient visits were positively associated during the cold period [lag2, excess risk (ER) (95% confidence interval (CI)): 1.68% (0.44-2.94%)], while O3-8h and respiratory disease were positively associated during the warm period [lag5, ER (95% CI): 1.10% (0.11-2.10%) and lag4, ER (95% CI): 1.02% (0.032-2.02%)]. Similarly, particulate matter (PM) with an average aerodynamic diameter of less than 10 μm (PM10) and lower respiratory diseases were positively associated during the warm period [lag0, ER (95% CI): 1.68% (0.44-2.94%)]. When the concentration of O3-8h was higher than 100 μg/L, there was a positive effect on circulatory [lag5, ER (95% CI): 2.83% (0.65-5.06%)], respiratory [lag5, ER (95% CI): 2.47% (0.85-4.11%)] and upper respiratory [lag5, ER (95% CI): 3.06% (1.38-4.77%)] outpatient visits. The variation in O3-8h changed slightly when we adjusted for other air pollutants, and after adjusting for O3-8h, the ERs of the other air pollutants changed slightly. After adjusting for PM with an average aerodynamic diameter of less than 2.5 μm (PM2.5), the ERs of the other air pollutants increased, and after adjusting for NO2, the ER of PM decreased. CONCLUSION Exposure to ambient NO2, O3, PM2.5 and PM10 was associated with an increase in respiratory and circulatory system-related outpatient visits in Fuzhou, China.
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Affiliation(s)
- Yu Jiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment Factors and Cancer, Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jiedong Chen
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment Factors and Cancer, 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 Factors and Cancer, Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xin Lin
- Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Quan Zhou
- Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Shumi Ji
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment Factors and Cancer, Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Shuangfeng Yang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment Factors and Cancer, Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xiaoyang Zhang
- Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Baoying Liu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment Factors and Cancer, Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
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Zeng W, Liu T, Du Q, Li J, Xiao J, Guo L, Li X, Xu Y, Xu X, Wan D, Ma W. The interplay of haze characteristics on mortality in the Pearl River Delta of China. ENVIRONMENTAL RESEARCH 2020; 184:109279. [PMID: 32113023 DOI: 10.1016/j.envres.2020.109279] [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: 07/10/2019] [Revised: 01/23/2020] [Accepted: 02/19/2020] [Indexed: 06/10/2023]
Abstract
To estimate the mortality risk from haze and the modifying effects by three characteristics of haze (intensity, duration and timing), data on haze and mortality in the Pearl River Delta region from 2013 to 2016 were collected. We first estimated mortality risk during haze days compared with non-haze days. Then we classified haze into several categories by considering one or any two of the three haze characteristics together, and further calculated the mortality risks separately. The mortality risk increased 5.0% (95% confidence intervals (CI): 3.1%-6.9%) during hazy days compared with non-haze days, with larger effect for the elderly ≥ 85 years old (Excess risk (ER): 8.7%, 95% CI: 3.9%-13.6%) than other age groups. Mortality risk increased in longer haze (ER: 4.4%, 95% CI: 2.9%-6.0%) compared with shorter haze (ER: 1.9%, 95% CI: 0.7%-3.2%). The greatest effect of any two of haze characteristics was observed when haze was intense and long (ER: 4.8%, 95% CI: 3.0%-6.6%). Our study indicates that haze significantly increased mortality risk in the Pearl River Delta. The health effects of haze may be under-estimated when using a single air pollutant concentration during haze periods to assess health risk of haze events. The haze intensity, duration, and time of occurrence should be accounted for in appropriate risk assessment of haze.
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Affiliation(s)
- Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China; Naihai Hospital of Southern Medical University, Foshan, Guangdong, 528244, China.
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China; Naihai Hospital of Southern Medical University, Foshan, Guangdong, 528244, China.
| | - Qingfeng Du
- Naihai Hospital of Southern Medical University, Foshan, Guangdong, 528244, China.
| | - Jianyi Li
- Naihai Hospital of Southern Medical University, Foshan, Guangdong, 528244, China.
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China.
| | - Lingchuan Guo
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China.
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China.
| | - Yanjun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China.
| | - Xiaojun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China.
| | - Donghua Wan
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China; Naihai Hospital of Southern Medical University, Foshan, Guangdong, 528244, China.
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 511430, China; Naihai Hospital of Southern Medical University, Foshan, Guangdong, 528244, China.
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Stieb DM, Zheng C, Salama D, BerjawI R, Emode M, Hocking R, Lyrette N, Matz C, Lavigne E, Shin HH. Systematic review and meta-analysis of case-crossover and time-series studies of short term outdoor nitrogen dioxide exposure and ischemic heart disease morbidity. Environ Health 2020; 19:47. [PMID: 32357902 PMCID: PMC7195719 DOI: 10.1186/s12940-020-00601-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/20/2020] [Indexed: 05/25/2023]
Abstract
BACKGROUND Nitrogen dioxide (NO2) is a pervasive urban pollutant originating primarily from vehicle emissions. Ischemic heart disease (IHD) is associated with a considerable public health burden worldwide, but whether NO2 exposure is causally related to IHD morbidity remains in question. Our objective was to determine whether short term exposure to outdoor NO2 is causally associated with IHD-related morbidity based on a synthesis of findings from case-crossover and time-series studies. METHODS MEDLINE, Embase, CENTRAL, Global Health and Toxline databases were searched using terms developed by a librarian. Screening, data extraction and risk of bias assessment were completed independently by two reviewers. Conflicts between reviewers were resolved through consensus and/or involvement of a third reviewer. Pooling of results across studies was conducted using random effects models, heterogeneity among included studies was assessed using Cochran's Q and I2 measures, and sources of heterogeneity were evaluated using meta-regression. Sensitivity of pooled estimates to individual studies was examined using Leave One Out analysis and publication bias was evaluated using Funnel plots, Begg's and Egger's tests, and trim and fill. RESULTS Thirty-eight case-crossover studies and 48 time-series studies were included in our analysis. NO2 was significantly associated with IHD morbidity (pooled odds ratio from case-crossover studies: 1.074 95% CI 1.052-1.097; pooled relative risk from time-series studies: 1.022 95% CI 1.016-1.029 per 10 ppb). Pooled estimates for case-crossover studies from Europe and North America were significantly lower than for studies conducted elsewhere. The high degree of heterogeneity among studies was only partially accounted for in meta-regression. There was evidence of publication bias, particularly for case-crossover studies. For both case-crossover and time-series studies, pooled estimates based on multi-pollutant models were smaller than those from single pollutant models, and those based on older populations were larger than those based on younger populations, but these differences were not statistically significant. CONCLUSIONS We concluded that there is a likely causal relationship between short term NO2 exposure and IHD-related morbidity, but important uncertainties remain, particularly related to the contribution of co-pollutants or other concomitant exposures, and the lack of supporting evidence from toxicological and controlled human studies.
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Affiliation(s)
- David M. Stieb
- Environmental Health Science and Research Bureau, Health Canada, 420-757 West Hastings St. - Federal Tower, Vancouver, BC V6C 1A1 Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Carine Zheng
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Dina Salama
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Rania BerjawI
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Monica Emode
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Robyn Hocking
- Learning, Knowledge and Library Services, Health Canada, Ottawa, Canada
| | - Ninon Lyrette
- Water and Air Quality Bureau, Health, Canada, Ottawa, Canada
| | - Carlyn Matz
- Water and Air Quality Bureau, Health, Canada, Ottawa, Canada
| | - Eric Lavigne
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
- Water and Air Quality Bureau, Health, Canada, Ottawa, Canada
| | - Hwashin H. Shin
- Environmental Health Science and Research Bureau, Health Canada, 420-757 West Hastings St. - Federal Tower, Vancouver, BC V6C 1A1 Canada
- Department of Mathematics and Statistics, Queen’s University, Kingston, Canada
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Duan Y, Liao Y, Li H, Yan S, Zhao Z, Yu S, Fu Y, Wang Z, Yin P, Cheng J, Jiang H. Effect of changes in season and temperature on cardiovascular mortality associated with nitrogen dioxide air pollution in Shenzhen, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 697:134051. [PMID: 31487586 DOI: 10.1016/j.scitotenv.2019.134051] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 07/26/2019] [Accepted: 08/21/2019] [Indexed: 04/13/2023]
Abstract
BACKGROUND The intricate association of mortality risk with ambient air pollution and temperature is of growing concern. Little is known regarding effect of changes in season and temperature on daily cardiovascular mortality associated with air pollutant nitrogen dioxide (NO2). OBJECTIVES Our study aimed to assess the effect of NO2 on cardiovascular mortality modified by season and daily air temperature in the effect, and further to identify the population highly susceptible to cardiovascular mortality associated with NO2 and air temperature. METHODS We collected daily cause-specific death data, weather conditions, and air pollutant concentrations in Shenzhen from 2013 to 2017. Distributed-lag linear models were employed to analyze the effect of season on the NO2-associated mortality. Furthermore, generalized additive models were combined with stratification parametric analysis to estimate the interaction effect of NO2 with air temperature on cardiovascular mortality. RESULTS In the cold season, the percentage increase in daily mortality for every 10 μg/m3 increment in NO2 concentration over lags of 0-2 days was 4.45% (95% CI: 2.71-6.21%). However, no statistically significant effect of NO2 was observed in the warm season. Compared with high-temperature days (>median temperature), a 3.51% increase in mortality (95% CI: 2.04-5.01%) over low-temperature days (≤median temperature) for the same increase in NO2 was significant. Air temperature modified the effect of NO2 on daily mortality by 4.08% (95% CI: 2.28-5.91%) for the elderly (age ≥ 65 years) on low-temperature days vs. -0.82% (95% CI: -3.88-2.34%) on high-temperature days, and 3.38% (95% CI: 1.50-5.29%) for males on low-temperature days vs. -0.73% (95% CI: -3.83-2.47%) on high air temperature days. CONCLUSIONS The cold season and low temperatures could significantly enhance the effect of NO2 on cardiovascular mortality. The elderly and males suffering from cardiovascular disease should take precautions against low temperature and NO2 air pollution.
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Affiliation(s)
- Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Liao
- Department of Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Hongyan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Siyu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiguang Zhao
- Department of Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Shuyuan Yu
- Department of environment and health, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yingbin Fu
- Department of Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Zhihui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
| | - Hongwei Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Zhu Y, Wang Y, Xu H, Luo B, Zhang W, Guo B, Chen S, Zhao X, Li W. Joint effect of multiple air pollutants on daily emergency department visits in Chengdu, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 257:113548. [PMID: 31733961 DOI: 10.1016/j.envpol.2019.113548] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 10/23/2019] [Accepted: 10/30/2019] [Indexed: 02/05/2023]
Abstract
Existing studies have typically investigated only the association between single pollutants and health outcomes. However, in the real world, people are exposed to multiple air pollutants simultaneously. The effect of air pollutants on emergency department (ED) visits has not been previously studied in the Sichuan Basin, which is one of the most polluted areas. We collected nonaccidental, respiratory and cardiovascular daily ED visits and daily concentrations of PM2.5, PMc, CO, SO2, NO2 and O3 in Chengdu, China, from 2014 to 2016. A weighted variable for the combination of multiple air pollutants was constructed to assess the joint adverse health effects. Each air pollutant was assigned a health-related weight, which indicated the pollutant's relative contribution to the joint effect. The effects on specific subpopulations (males and females; 15-65 years old and >65 years old) were also examined. With an increase of 10 μg/m3 of the combined multiple air pollutants, the daily ED visits for nonaccidental, respiratory and cardiovascular causes increased by 0.96% (95% CI: 0.51%-1.39%), 1.19% (95% CI: 0.53%, 1.85%) and 4.36% (95% CI: 1.06%, 7.76%) at lag 1, respectively. Males presented more pronounced effects, except for cardiovascular disease, than females. Elderly individuals were found to be more sensitive than young individuals. For nonaccidental and respiratory diseases, the contributions of particulate matter (PM) were dominant among the air pollutants, whereas cardiovascular disease was mainly affected by gaseous air pollutants. The combination of multiple air pollutants was significantly associated with ED visits in the Sichuan Basin, China. The joint effect of the combination of multiple air pollutants was highest for cardiovascular disease at lag 1. The relative contributions of individual pollutants varied by disease and subpopulation. These findings suggest that under different pollution scenarios, preventive strategies should target those with different diseases and different subpopulations.
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Affiliation(s)
- Yue Zhu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Yanyan Wang
- National Clinical Research Center of Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Huan Xu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Bin Luo
- Sichuan Environmental Monitoring Center, Chengdu, 610041, Sichuan Province, China
| | - Wei Zhang
- Sichuan Environmental Monitoring Center, Chengdu, 610041, Sichuan Province, China
| | - Bing Guo
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Shiqi Chen
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China; Sichuan Province Hospital for Women and Children, Chengdu, 610041, Sichuan Province, China
| | - Xing Zhao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, West China Medical School/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
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Siddika N, Rantala AK, Antikainen H, Balogun H, Amegah AK, Ryti NRI, Kukkonen J, Sofiev M, Jaakkola MS, Jaakkola JJK. Synergistic effects of prenatal exposure to fine particulate matter (PM 2.5) and ozone (O 3) on the risk of preterm birth: A population-based cohort study. ENVIRONMENTAL RESEARCH 2019; 176:108549. [PMID: 31252204 DOI: 10.1016/j.envres.2019.108549] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 06/14/2019] [Accepted: 06/18/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND There is some evidence that prenatal exposure to low-level air pollution increases the risk of preterm birth (PTB), but little is known about synergistic effects of different pollutants. OBJECTIVES We assessed the independent and joint effects of prenatal exposure to air pollution during the entire duration of pregnancy. METHODS The study population consisted of the 2568 members of the Espoo Cohort Study, born between 1984 and 1990, and living in the City of Espoo, Finland. We assessed individual-level prenatal exposure to ambient air pollutants of interest at all the residential addresses from conception to birth. The pollutant concentrations were estimated both by using regional-to-city-scale dispersion modelling and land-use regression-based method. We applied Poisson regression analysis to estimate the adjusted risk ratios (RRs) with their 95% confidence intervals (CI) by comparing the risk of PTB among babies with the highest quartile (Q4) of exposure during the entire duration of pregnancy with those with the lower exposure quartiles (Q1-Q3). We adjusted for season of birth, maternal age, sex of the baby, family's socioeconomic status, maternal smoking during pregnancy, maternal exposure to environmental tobacco smoke during pregnancy, single parenthood, and exposure to other air pollutants (only in multi-pollutant models) in the analysis. RESULTS In a multi-pollutant model estimating the effects of exposure during entire pregnancy, the adjusted RR was 1.37 (95% CI: 0.85, 2.23) for PM2.5 and 1.64 (95% CI: 1.15, 2.35) for O3. The joint effect of PM2.5 and O3 was substantially higher, an adjusted RR of 3.63 (95% CI: 2.16, 6.10), than what would have been expected from their independent effects (0.99 for PM2.5 and 1.34 for O3). The relative risk due to interaction (RERI) was 2.30 (95% CI: 0.95, 4.57). DISCUSSION Our results strengthen the evidence that exposure to fairly low-level air pollution during pregnancy increases the risk of PTB. We provide novel observations indicating that individual air pollutants such as PM2.5 and O3 may act synergistically potentiating each other's adverse effects.
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Affiliation(s)
- Nazeeba Siddika
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Aino K Rantala
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Harri Antikainen
- Geography Research Unit, P.O. Box 3000, 90014, University of Oulu, Oulu, Finland
| | - Hamudat Balogun
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - A Kofi Amegah
- Public Health Research Group, Department of Biomedical Sciences, University Post Office, University of Cape Coast, Cape Coast, Ghana
| | - Niilo R I Ryti
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Jaakko Kukkonen
- Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland
| | - Mikhail Sofiev
- Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland
| | - Maritta S Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland.
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11
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Huang J, Pan X, Guo X, Li G. Impacts of air pollution wave on years of life lost: A crucial way to communicate the health risks of air pollution to the public. ENVIRONMENT INTERNATIONAL 2018; 113:42-49. [PMID: 29421406 DOI: 10.1016/j.envint.2018.01.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 01/07/2018] [Accepted: 01/22/2018] [Indexed: 06/08/2023]
Abstract
Limited studies have explored the impacts of exposure to sustained high levels of air pollution (air pollution wave) on mortality. Given that the frequency, intensity and duration of air pollution wave has been increasing in highly polluted regions recently, understanding the impacts of air pollution wave is crucial. In this study, air pollution wave was defined as 2 or more consecutive days with air pollution index (API) > 100. The impacts of air pollution wave on years of life lost (YLL) due to non-accidental, cardiovascular and respiratory deaths were evaluated by considering both consecutive days with high levels of air pollution and daily air pollution levels in Tianjin, China, from 2006 to 2011. The results showed the durational effect of consecutive days with high levels of air pollution was substantial in addition to the effect of daily air pollution. For instance, the durational effect was related to an increase in YLL of 116.6 (95% CI: 4.8, 228.5) years from non-accidental deaths when the air pollution wave was sustained for 4 days, while the corresponding daily air pollution's effect was 121.2 (95% CI: 55.2, 187.1) years. A better interpretation of the health risks of air pollution wave is crucial for air pollution control policy making and public health interventions.
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Affiliation(s)
- Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
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12
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Luben TJ, Buckley BJ, Patel MM, Stevens T, Coffman E, Rappazzo KM, Owens EO, Hines EP, Moore D, Painter K, Jones R, Datko-Williams L, Wilkie AA, Madden M, Richmond-Bryant J. A cross-disciplinary evaluation of evidence for multipollutant effects on cardiovascular disease. ENVIRONMENTAL RESEARCH 2018; 161:144-152. [PMID: 29145006 PMCID: PMC5774020 DOI: 10.1016/j.envres.2017.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 10/19/2017] [Accepted: 11/03/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND The current single-pollutant approach to regulating ambient air pollutants is effective at protecting public health, but efficiencies may be gained by addressing issues in a multipollutant context since multiple pollutants often have common sources and individuals are exposed to more than one pollutant at a time. OBJECTIVE We performed a cross-disciplinary review of the effects of multipollutant exposures on cardiovascular effects. METHODS A broad literature search for references including at least two criteria air pollutants (particulate matter [PM], ozone [O3], oxides of nitrogen, sulfur oxides, carbon monoxide) was conducted. References were culled based on scientific discipline then searched for terms related to cardiovascular disease. Most multipollutant epidemiologic and experimental (i.e., controlled human exposure, animal toxicology) studies examined PM and O3 together. DISCUSSION Epidemiologic and experimental studies provide some evidence for O3 concentration modifying the effect of PM, although PM did not modify O3 risk estimates. Experimental studies of combined exposure to PM and O3 provided evidence for additivity, synergism, and/or antagonism depending on the specific health endpoint. Evidence for other pollutant pairs was more limited. CONCLUSIONS Overall, the evidence for multipollutant effects was often heterogeneous, and the limited number of studies inhibited making a conclusion about the nature of the relationship between pollutant combinations and cardiovascular disease.
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Affiliation(s)
- Thomas J Luben
- Office of Research and Development, US EPA, RTP, NC, USA.
| | | | - Molini M Patel
- Office of Research and Development, US EPA, RTP, NC, USA
| | - Tina Stevens
- Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA
| | - Evan Coffman
- Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA; Office of Air and Radiation, US EPA, RTP, NC, USA
| | - Kristen M Rappazzo
- Office of Research and Development, US EPA, RTP, NC, USA; Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA
| | | | - Erin P Hines
- Office of Research and Development, US EPA, RTP, NC, USA
| | - Danielle Moore
- Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA
| | - Kyle Painter
- Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA
| | - Ryan Jones
- Office of Research and Development, US EPA, RTP, NC, USA
| | - Laura Datko-Williams
- Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA; CROS NT, LLC, Chapel Hill, NC, USA
| | - Adrien A Wilkie
- Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA; Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Meagan Madden
- Oak Ridge Institute of Science and Education (ORISE) Research participant at the US EPA, RTP, NC, USA; Development Research Group, The World Bank, Washington, DC, USA
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13
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The Interaction between Ambient PM 10 and NO₂ on Mortality in Guangzhou, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14111381. [PMID: 29137207 PMCID: PMC5708020 DOI: 10.3390/ijerph14111381] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 11/03/2017] [Accepted: 11/08/2017] [Indexed: 11/30/2022]
Abstract
Air pollution is now a significant environmental issue in China. To better understand the health impacts of ambient air pollution, this study investigated the potential interaction between PM10 and NO2 on mortality in Guangzhou, China. Time series data of daily non-accidental mortality and concentrations of PM10 and NO2 from 2006 to 2010 were collected. Based on generalized additive model, we developed two models (bivariate model and stratified model) to explore the interaction both qualitatively and quantitatively. At lag of 0–2 days, greater interactive effects between PM10 and NO2 were presented in the graphs. Positive modified effects were also found between the two pollutants on total non-accidental death and cardiovascular death. When the NO2 concentration was at a high level (>76.14 μg/m3), PM10 showed the greatest excess relative risk percentage (ERR%) for total non-accidental mortality (0.46, 95% CI: 0.13–0.79) and cardiovascular disease mortality (0.61, 95% CI: 0.06–1.16) for each 10 μg/m3 increase. During the period of high PM10 concentration (>89.82 μg/m3), NO2 demonstrated its strongest effect for total non-accidental mortality (ERR%: 0.92, 95% CI: 0.42–1.42) and cardiovascular disease mortality (ERR%: 1.20, 95% CI: 0.38–2.03). Our results suggest a positive interaction between PM10 and NO2 on non-accidental mortality in Guangzhou.
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14
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Matt F, Cole-Hunter T, Donaire-Gonzalez D, Kubesch N, Martínez D, Carrasco-Turigas G, Nieuwenhuijsen M. Acute respiratory response to traffic-related air pollution during physical activity performance. ENVIRONMENT INTERNATIONAL 2016; 97:45-55. [PMID: 27776225 DOI: 10.1016/j.envint.2016.10.011] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 10/10/2016] [Accepted: 10/10/2016] [Indexed: 05/06/2023]
Abstract
BACKGROUND Physical activity (PA) has beneficial, whereas exposure to traffic related air pollution (TRAP) has adverse, respiratory effects. Few studies, however, have examined if the acute effects of TRAP upon respiratory outcomes are modified depending on the level of PA. OBJECTIVES The aim of our study was to disentangle acute effects of TRAP and PA upon respiratory outcomes and assess the impact of participants TRAP pre-exposure. METHODS We conducted a real-world crossover study with repeated measures of 30 healthy adults. Participants completed four 2-h exposure scenarios that included either rest or intermittent exercise in high- and low-traffic environments. Measures of respiratory function were collected at three time points. Pre-exposure to TRAP was ascertained from land-use-modeled address-attributed values. Mixed-effects models were used to estimate the impact of TRAP and PA on respiratory measures as well as potential effect modifications. RESULTS We found that PA was associated with a statistically significant increases of FEV1 (48.5mL, p=0.02), FEV1/FVC (0.64%, p=0.005) and FEF25-75% (97.8mL, p=0.02). An increase in exposure to one unit (1μg/m3) of PMcoarse was associated with a decrease in FEV1 (-1.31mL, p=0.02) and FVC (-1.71mL, p=0.01), respectively. On the other hand, for an otherwise equivalent exposure an increase of PA by one unit (1%Heart rate max) was found to reduce the immediate negative effects of particulate matter (PM) upon PEF (PM2.5, 0.02L/min, p=0.047; PM10, 0.02L/min p=0.02; PMcoarse, 0.03L/min, p=0.02) and the several hours delayed negative effects of PM upon FVC (PMcoarse, 0.11mL, p=0.02). The negative impact of exposure to TRAP constituents on FEV1/FVC and PEF was attenuated in those participants with higher TRAP pre-exposure levels. CONCLUSIONS Our results suggest that associations between various pollutant exposures and respiratory measures are modified by the level of PA during exposure and TRAP pre-exposure of participants.
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Affiliation(s)
- Florian Matt
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Rudolf Boehm Institute of Pharmacology and Toxicology, PGS Toxicology and Environmental Protection, University of Leipzig, Leipzig, Germany; Biological Safety & Risk Management, Institute Straumann AG, Basel, Switzerland.
| | - Tom Cole-Hunter
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - David Donaire-Gonzalez
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Physical Activity and Sports Sciences Department, Fundació Blanquerna, Barcelona, Spain
| | - Nadine Kubesch
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - David Martínez
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Glòria Carrasco-Turigas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Mark Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
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15
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Mills IC, Atkinson RW, Anderson HR, Maynard RL, Strachan DP. Distinguishing the associations between daily mortality and hospital admissions and nitrogen dioxide from those of particulate matter: a systematic review and meta-analysis. BMJ Open 2016; 6:e010751. [PMID: 27443553 PMCID: PMC4964176 DOI: 10.1136/bmjopen-2015-010751] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVES To quantitatively assess time-series studies of daily nitrogen dioxide (NO2) and mortality and hospital admissions which also controlled for particulate matter (PM) to determine whether or to what extent the NO2 associations are independent of PM. DESIGN A systematic review and meta-analysis. METHODS Time-series studies-published in peer-reviewed journals worldwide, up to May 2011-that reported both single-pollutant and two-pollutant model estimates for NO2 and PM were ascertained from bibliographic databases (PubMed, EMBASE and Web of Science) and reviews. Random-effects summary estimates were calculated globally and stratified by different geographical regions, and effect modification was investigated. OUTCOME MEASURES Mortality and hospital admissions for various cardiovascular or respiratory diseases in different age groups in the general population. RESULTS 60 eligible studies were identified, and meta-analysis was conducted on 23 outcomes. Two-pollutant model study estimates generally showed that the NO2 associations were independent of PM mass. For all-cause mortality, a 10 µg/m(3) increase in 24-hour NO2 was associated with a 0.78% (95% CI 0.47% to 1.09%) increase in the risk of death, which reduced to 0.60% (0.33% to 0.87%) after control for PM. Heterogeneity between geographical region-specific estimates was removed by control for PM (I(2) from 66.9% to 0%). Estimates of PM and daily mortality assembled from the same studies were greatly attenuated after control for NO2: from 0.51% (0.29% to 0.74%) to 0.18% (-0.11% to 0.47%) per 10 µg/m(3) PM10 and 0.74% (0.34% to 1.14%) to 0.54% (-0.25% to 1.34%) for PM2.5. CONCLUSIONS The association between short-term exposure to NO2 and adverse health outcomes is largely independent of PM mass. Further studies should attempt to investigate whether this is a generic PM effect or whether it is modified by the source and physicochemical characteristics of PM. This finding strengthens the argument for NO2 having a causal role in health effects.
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Affiliation(s)
- I C Mills
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Oxfordshire, UK
| | - R W Atkinson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, London, UK
| | - H R Anderson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, London, UK
- MRC-PHE Centre for Environment and Health, King's College London, London, UK
| | | | - D P Strachan
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, London, UK
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16
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Ye X, Peng L, Kan H, Wang W, Geng F, Mu Z, Zhou J, Yang D. Acute Effects of Particulate Air Pollution on the Incidence of Coronary Heart Disease in Shanghai, China. PLoS One 2016; 11:e0151119. [PMID: 26942767 PMCID: PMC4778855 DOI: 10.1371/journal.pone.0151119] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 02/22/2016] [Indexed: 12/21/2022] Open
Abstract
INTRODUCTION Evidence based on ecological studies in China suggests that short-term exposure to particulate matter (PM) is associated with cardiovascular mortality. However, there is less evidence of PM-related morbidity for coronary heart disease (CHD) in China. This study aims to investigate the relationship between acute PM exposure and CHD incidence in people aged above 40 in Shanghai. METHODS Daily CHD events during 2005-2012 were identified from outpatient and emergency department visits. Daily average concentrations for particulate matter with aerodynamic diameter less than 10 microns (PM10) were collected over the 8-year period. Particulate matter with aerodynamic diameter less than 2.5 microns (PM2.5) were measured from 2009 to 2012. Analyses were performed using quasi-poisson regression models adjusting for confounders, including long-term trend, seasonality, day of the week, public holiday and meteorological factors. The effects were also examined by gender and age group (41-65 years, and >65 years). RESULTS There were 619928 CHD outpatient and emergency department visits. The average concentrations of PM10 and PM2.5 were 81.7 μg/m3 and 38.6 μg/m3, respectively. Elevated exposure to PM10 and PM2.5 was related with increased risk of CHD outpatients and emergency department visits in a short time course. A 10 μg/m3 increase in the 2-day PM10 and PM2.5 was associated with increase of 0.23% (95% CI: 0.12%, 0.34%) and 0.74% (95% CI: 0.44%, 1.04%) in CHD morbidity, respectively. The associations appeared to be more evident in the male and the elderly. CONCLUSION Short-term exposure to high levels of PM10 and PM2.5 was associated with increased risk of CHD outpatient and emergency department visits. Season, gender and age were effect modifiers of their association.
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Affiliation(s)
- Xiaofang Ye
- Department of Environment Health, School of Public Health, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
- * E-mail:
| | - Li Peng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Haidong Kan
- School of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China
| | - Weibing Wang
- School of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China
- Fudan Tyndall Centre, Shanghai, China
| | - Fuhai Geng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Zhe Mu
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Ji Zhou
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Dandan Yang
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
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