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Choi D, North M, Ahmed M, Belousova N, Vasileva A, Matelski J, Singer LG, Wu JKY, Jeong CH, Evans G, Chow CW. Pollution exposure in the 1 st 3 months post transplant is associated with lower baseline FEV 1 and higher CLAD risk. J Heart Lung Transplant 2024:S1053-2498(24)01791-1. [PMID: 39142524 DOI: 10.1016/j.healun.2024.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/27/2024] [Accepted: 08/05/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Exposure to air pollution post lung transplant has been shown to decrease graft and patient survival. This study examines the impact of air pollution exposure in the first 3 months post-transplant on baseline (i.e. highest) forced expiratory volume in 1s (FEV1) achieved and development of chronic lung allograft dysfunction (CLAD). METHODS Double-lung transplant recipients (n=82) were prospectively enrolled for comprehensive indoor and personal environmental monitoring at 6- and 12-weeks post-transplant and followed for >4 years. Associations between clinical and exposure variables were investigated using an exposomics approach followed by analysis with a Cox Proportional Hazards model. Multivariable analyses were used to examine the impact of air pollution on baseline % predicted FEV1 (defined as the average of the 2 highest values achieved post-transplant) and risk of CLAD. RESULTS Multivariable analysis revealed a significant inverse relationship between personal black carbon (BC) levels and baseline % FEV1. The multivariable model indicated that patients with higher-than-median exposure to BC (>350 ng/m3) attained a baseline % FEV1 that was 8.8% lower than those with lower-than-median BC exposure (p = 0.019). Cox proportional hazards model analysis revealed that patients with high personal BC exposure had a 2.4 times higher hazard risk for CLAD than patients with low BC exposure (p = 0.045). CONCLUSIONS Higher personal BC levels during the first 3 months post-transplant decreases baseline FEV1 and doubles the risk of CLAD. Strategies to reduce BC exposure early following lung transplant may help improve lung function and long-term outcomes.
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Affiliation(s)
- Denny Choi
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Michelle North
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Chemical Engineering & Applied Chemistry, Faculty of Applied Sciences and Engineering, University of Toronto, Toronto, Ontario, Canada; Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Toronto, Ontario, Canada
| | - Musawir Ahmed
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Natalia Belousova
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anastasiia Vasileva
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John Matelski
- Biostatistics Research Unit, University Health Network, Toronto, Ontario, Canada
| | - Lianne G Singer
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto Lung Transplant Program, Ajmera Multi-Organ Transplant Unit, University Health Network, Toronto, Ontario, Canada
| | - Joyce K Y Wu
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Cheol-Heon Jeong
- Chemical Engineering & Applied Chemistry, Faculty of Applied Sciences and Engineering, University of Toronto, Toronto, Ontario, Canada; Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Toronto, Ontario, Canada
| | - Greg Evans
- Chemical Engineering & Applied Chemistry, Faculty of Applied Sciences and Engineering, University of Toronto, Toronto, Ontario, Canada; Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Toronto, Ontario, Canada
| | - Chung-Wai Chow
- Division of Respirology, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Chemical Engineering & Applied Chemistry, Faculty of Applied Sciences and Engineering, University of Toronto, Toronto, Ontario, Canada; Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Toronto, Ontario, Canada; Toronto Lung Transplant Program, Ajmera Multi-Organ Transplant Unit, University Health Network, Toronto, Ontario, Canada.
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Chen NT, Yeh CL, Jung CC. Influence of agricultural activity in corn farming on airborne microplastic in surrounding elementary school. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174807. [PMID: 39019289 DOI: 10.1016/j.scitotenv.2024.174807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/17/2024] [Accepted: 07/13/2024] [Indexed: 07/19/2024]
Abstract
Microplastics (MPs) have been widely detected in agricultural soils, and agricultural activities have been identified as an important factor influencing the abundance of MPs in the air. However, no studies have investigated whether agricultural activities are contributors to airborne MPs in buildings near farms. We collected airborne MP samples using an active sampling method from an elementary school near corn farms during different cultivation stages to assess the impact of agricultural activities on MPs in the study school near farms. Our data showed that the predominant shapes, sizes, colors, and polymer compositions were fragments, 2-50 μm, black or grey, and polyethylene terephthalate, respectively, during all cultivation stages. The highest and lowest MP concentrations were recorded during the land preparation (56.8 ± 7.4 particles/m3, August 2022) and growth (2.5 ± 1.8 particles/m3, February 2022) stages, respectively. A multiple-path particle dosimetry model revealed that the deposition fractions of MPs in humans were highest in the head; the highest and lowest deposition rates and fluxes of MPs in the airway were found during the land preparation and growth stages, respectively. The concentration of MPs did not present a positive correlation with potassium or crustal elemental concentration; however, it did show a positive association with temperature value. Therefore, our data did not show that corn cultivation influences MP concentrations in the study school near corn farms; instead, temperature was an important influencing factor.
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Affiliation(s)
- Nai-Tzu Chen
- Department of Environmental and Occupational Health, National Cheng-Kung University, Tainan City, Taiwan
| | - Chia-Ling Yeh
- Department of Environmental and Occupational Health, National Cheng-Kung University, Tainan City, Taiwan.
| | - Chien-Cheng Jung
- Department of Public Health, China Medical University, Taichung City, Taiwan.
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Yu H, Li M, Zheng X, Zhu M, Zheng Z, Xie T, Yan G, Hu P, Cao Z, Feng J, Sun J. Potential source and health risks of black carbon based on MERRA-2 reanalysis data in a typical industrial city of North China Plain. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 354:120367. [PMID: 38387352 DOI: 10.1016/j.jenvman.2024.120367] [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: 08/12/2023] [Revised: 01/03/2024] [Accepted: 02/08/2024] [Indexed: 02/24/2024]
Abstract
Black carbon (BC) significantly affects climate, environmental quality, and human health. This study utilised Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), which can compensate for the shortcomings of ground BC monitoring in spatial-temporal distribution to study the pollution characteristics of BC and potential pollution sources in a typical industrial city (Xinxiang) with serious air pollution in northern China. The results showed that average daily ground observation and MERRA-2 concentration of BC of 7.33 μg m-3 and 9.52 μg m-3. The mean BC concentration derived from MERRA-2 reanalysis data was higher than ground measurement due to resolution limitations and pollution from the northern regions. The reliability of the MERRA-2 data was confirmed through correlation analysis. Consideration of the spatial distribution of BC from MERRA-2 and incorporating the potential source contribution function (PSCF), concentration-weighted trajectory (CWT), and emission inventory, other possible source areas and primary sources of BC in Xinxiang were investigated. The results indicated that implementing transportation and residential emission control measures in Henan Province and its surrounding provinces, such as Hebei Province, will effectively decrease the BC level in Xinxiang City. A passively smoked cigarettes model was used to evaluate the risk of BC exposure. The percentage of lung function decrement (PLFD) was the highest in school-age children, while the impact on lung cancer (LC) health risk was comparatively lower. Notably, the BC health risk in Xinxiang was lower than in most cities across Asia.
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Affiliation(s)
- Hao Yu
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China.
| | - Menghui Li
- State Key Lab of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, Guangdong, PR China
| | - Xueqing Zheng
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China
| | - Mingyue Zhu
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China
| | - Zhensen Zheng
- State Key Lab of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, PR China
| | - Tianyi Xie
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China
| | - Guangxuan Yan
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China
| | - Pengtuan Hu
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China
| | - Zhiguo Cao
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China.
| | - Jinglan Feng
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China
| | - Jianhui Sun
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environment Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, Henan, PR China
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Ji N, Baptista A, Yu CH, Cepeda C, Green F, Greenberg M, Mincey IC, Ohman-Strickland P, Fiedler N, Kipen HM, Laumbach RJ. Traffic-related air pollution, chronic stress, and changes in exhaled nitric oxide and lung function among a panel of children with asthma living in an underresourced community. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168984. [PMID: 38040352 DOI: 10.1016/j.scitotenv.2023.168984] [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: 07/28/2023] [Revised: 10/24/2023] [Accepted: 11/27/2023] [Indexed: 12/03/2023]
Abstract
We examined associations between short-term exposure to traffic-related air pollutants (TRAP) and airway inflammation and lung function in children with asthma, and whether these associations are modified by chronic psychological stress. Residents of underresourced port-adjacent communities in New Jersey were concerned about the cumulative impacts of exposure to TRAP, particularly diesel-engine truck emissions, and stress on exacerbation of asthma among children. Children with asthma aged 9-14 (n = 35) were recruited from non-smoking households. We measured each participant's (1) continuous personal exposure to black carbon (BC, a surrogate of TRAP) at 1-min intervals, (2) 24-h integrated personal exposure to nitrogen dioxide (NO2), (3) daily fractional exhaled nitric oxide (FeNO), and (4) lung function for up to 30 consecutive days. Personal BC was recorded by micro-aethalometers. We measured daily FeNO using the NIOX MINO, forced expiratory volume in one second (FEV1), and forced vital capacity (FVC) using Easy One Frontline spirometers. Chronic stress was measured with the UCLA Life Stress Interview for Children. The association was examined using linear mixed-effect models. In the fully adjusted model, an interquartile range (IQR) increase in BC at lag 0-6 h before the FeNO measurement was associated with 8 % (95 % CI: 3 % - 12 %) increase in FeNO, whereas an IQR increase in BC at lag 7-12 h and lag 0-24 h were associated with 6 % (95 % CI: 2 % - 11 %) and 7 % (2 % - 12 %) FeNO increases, respectively. There were no significant lung function changes per IQR increase in BC. No interactions were observed between chronic stress and BC on FeNO. Chronic stress was negatively associated with individual average FeNO levels. Our findings suggest that higher levels of BC exposure within the prior 24 h increased airway inflammation levels in children with asthma, with the strongest effect observed within the first 6 h.
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Affiliation(s)
- N Ji
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America
| | - A Baptista
- The New School, New York, NY, United States of America
| | - C H Yu
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America; New Jersey Department of Health, Trenton, NJ, United States of America
| | - C Cepeda
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America
| | - F Green
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America
| | - M Greenberg
- The New School, New York, NY, United States of America
| | - I Colon Mincey
- Ironbound Community Corporation, Newark, NJ, United States of America
| | - P Ohman-Strickland
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America
| | - N Fiedler
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America
| | - H M Kipen
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America
| | - R J Laumbach
- Rutgers, The State University of New Jersey, Piscataway, NJ, United States of America.
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Bramble K, Blanco MN, Doubleday A, Gassett AJ, Hajat A, Marshall JD, Sheppard L. Exposure Disparities by Income, Race and Ethnicity, and Historic Redlining Grade in the Greater Seattle Area for Ultrafine Particles and Other Air Pollutants. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:77004. [PMID: 37404015 PMCID: PMC10321236 DOI: 10.1289/ehp11662] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 05/15/2023] [Accepted: 06/01/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND Growing evidence shows ultrafine particles (UFPs) are detrimental to cardiovascular, cerebrovascular, and respiratory health. Historically, racialized and low-income communities are exposed to higher concentrations of air pollution. OBJECTIVES Our aim was to conduct a descriptive analysis of present-day air pollution exposure disparities in the greater Seattle, Washington, area by income, race, ethnicity, and historical redlining grade. We focused on UFPs (particle number count) and compared with black carbon, nitrogen dioxide, and fine particulate matter (PM 2.5 ) levels. METHODS We obtained race and ethnicity data from the 2010 U.S. Census, median household income data from the 2006-2010 American Community Survey, and Home Owners' Loan Corporation (HOLC) redlining data from the University of Richmond's Mapping Inequality. We predicted pollutant concentrations at block centroids from 2019 mobile monitoring data. The study region encompassed much of urban Seattle, with redlining analyses restricted to a smaller region. To analyze disparities, we calculated population-weighted mean exposures and regression analyses using a generalized estimating equation model to account for spatial correlation. RESULTS Pollutant concentrations and disparities were largest for blocks with median household income of < $ 20,000 , Black residents, HOLC Grade D, and ungraded industrial areas. UFP concentrations were 4% lower than average for non-Hispanic White residents and higher than average for racialized groups (Asian, 3%; Black, 15%; Hispanic, 6%; Native American, 8%; Pacific Islander, 11%). For blocks with median household incomes of < $ 20,000 , UFP concentrations were 40% higher than average, whereas blocks with incomes of > $ 110,000 had UFP concentrations 16% lower than average. UFP concentrations were 28% higher for Grade D and 49% higher for ungraded industrial areas compared with Grade A. Disparities were highest for UFPs and lowest for PM 2.5 exposure levels. DISCUSSION Our study is one of the first to highlight large disparities with UFP exposures compared with multiple pollutants. Higher exposures to multiple air pollutants and their cumulative effects disproportionately impact historically marginalized groups. https://doi.org/10.1289/EHP11662.
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Affiliation(s)
- Kaya Bramble
- Department of Industrial & Systems Engineering, College of Engineering, University of Washington, Seattle, Washington, USA
| | - Magali N. Blanco
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Annie Doubleday
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Amanda J. Gassett
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Anjum Hajat
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Julian D. Marshall
- Department of Civil & Environmental Engineering, College of Engineering, University of Washington, Seattle, Washington, USA
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, USA
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6
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Zhu X, Liu B, Guo C, Li Z, Cheng M, Zhu X, Wei Y. Short and long-term association of exposure to ambient black carbon with all-cause and cause-specific mortality: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 324:121086. [PMID: 36649881 DOI: 10.1016/j.envpol.2023.121086] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 06/17/2023]
Abstract
Black carbon (BC) is a product of incomplete or inefficient combustion and may be associated with a variety of adverse effects on human health. The objective of this study was to analyze the association between various mortalities and long-/short-term exposure to BC as an independent pollutant. In this systematic review, we searched 4 databases for original research in English up to 6th October 2022, that investigated population-wide mortality due to BC exposure. We pooled mortality estimates and expressed them as relative risk (RR) per 10 μg/m3 increase in BC. We used a random-effect model to derive the pooled RRs. Of the 3186 studies identified, 29 articles met the eligibility criteria, including 18 long-term exposure studies and 11 short-term exposure studies. In the major meta-analysis and sensitivity analysis, positive associations were found between BC and total mortality and cause-specific disease mortalities. Among them, the short-term effects of BC on total mortality, cardiovascular disease mortality, respiratory disease mortality, and the long-term effects of BC on total mortality, ischemic heart disease mortality, respiratory disease mortality and lung cancer mortality were found to be statistically significant. The heterogeneity of the meta-analysis results was much lower for short-term studies than for long-term. Few studies were at a high risk of bias in any domain. The certainty of the evidence for most of the exposure-outcome pairs was moderate. Our study showed a significantly positive association between short-/long-term BC exposure and various mortalities. We speculate that BC has a higher adverse health effect on the respiratory system than on the cardiovascular system. This is different from the effect of PM2.5. Therefore, more studies are needed to consider BC as a separate pollutant, and not just as a component of PM2.5.
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Affiliation(s)
- Xiaojing Zhu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Bingqian Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Chen Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Zhigang Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Miaomiao Cheng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Xiaoyan Zhu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Center for Global Health, School of Public Health, Nanjing Medical University, China.
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7
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Jung KH, Goodwin KE, Ross JM, Cai J, Chillrud SN, Perzanowski M, Perera FP, Miller RL, Lovinsky-Desir S. Characteristics of peak exposure to black carbon pollution in school, commute and home environments among school children in an urban community. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 319:120991. [PMID: 36596374 PMCID: PMC9900622 DOI: 10.1016/j.envpol.2022.120991] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
Although real-time personal exposure monitoring devices have the ability to capture a wealth of data regarding fluctuations in pollutant levels, only a few studies have defined 'peaks' in black carbon (BC) exposure utilizing high-resolution data. Furthermore, studies to assess and characterize various features of peak exposure are very limited especially among children. A better understanding of characteristics of BC peak exposure would improve our understanding of health risks associated with BC. By capturing personal BC exposure at 5-min intervals using a real-time monitor during 24-hr monitoring periods among children in New York City (NYC), we defined 'peak characteristics' in 4 different ways across three major microenvironments (school vs. commute vs. home): 1) mean concentrations of BC across the 3 microenvironments, 2) 'peak duration' or time spent above the peak threshold (i.e., ≥1.5 μg/m3), 3) 'peak intensity' or the rate of exposure, defined as time spent above the threshold within each microenvironment divided by the total time spent in the microenvironment and 4) a novel metric of 'peak variability', defined as frequency of peaks (i.e., data points with +50% and -50% changes compared to the preceding and the subsequent data points), divided by the total time spent in the microenvironment. While peak duration was greatest at home, the intensity of peak exposure was greatest during commute hours, despite the short time spent in commute (p < 0.05). Peak variability was highest during commute, yet lowest in home environments (p < 0.05), particularly during non-sleeping hours. Children residing in a high-density urban setting spent on average, 5.4 hr per day above our peak threshold (≥1.5 μg/m3) in their everyday environments. Policies that limit children's exposure during high traffic periods and improved efforts to increase the number of vehicles using clean air technology could reduce the intensity of peaks and peak variability in children's BC exposure.
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Affiliation(s)
- Kyung Hwa Jung
- Division of Pediatric Pulmonary, Department of Pediatrics, Columbia University, Vagelos College of Physicians and Surgeons , 3959 Broadway CHC 7-750, New York, NY 10032, United States
| | - Kathleen E Goodwin
- Columbia University, Vagelos College of Physicians and Sugeons, 630 W. 168th Stree, New York, NY 10032, United States
| | - James M Ross
- Lamont-Doherty Earth Observatory, Columbia University, 61 Rt, 9W Palisades, New York, 10964, United States
| | - Jing Cai
- School of Public Health, Fudan University, 130 Dong'An Road, Shanghai, 200032, China
| | - Steven N Chillrud
- Lamont-Doherty Earth Observatory, Columbia University, 61 Rt, 9W Palisades, New York, 10964, United States
| | - Matthew Perzanowski
- Mailman School of Public Health, Department of Environmental Health Sciences, Columbia University, 722 W. 168 St., New York, NY, 10032, United States
| | - Frederica P Perera
- Mailman School of Public Health, Department of Environmental Health Sciences, Columbia University, 722 W. 168 St., New York, NY, 10032, United States
| | - Rachel L Miller
- Division of Clinical Immunology, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, United States
| | - Stephanie Lovinsky-Desir
- Division of Pediatric Pulmonary, Department of Pediatrics, Columbia University, Vagelos College of Physicians and Surgeons , 3959 Broadway CHC 7-750, New York, NY 10032, United States.
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8
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Zong Z, Zhao M, Zhang M, Xu K, Zhang Y, Zhang X, Hu C. Association between PM 1 Exposure and Lung Function in Children and Adolescents: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15888. [PMID: 36497960 PMCID: PMC9740616 DOI: 10.3390/ijerph192315888] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The detrimental effects of PM2.5 and PM10 (particulate matter less than 2.5 or 10 μm) on human respiratory system, including lung function, have been widely assessed. However, the associations between PM1 (particulate matter of less than 1 μm) and lung function in children and adolescents are less explored, and current evidence is inconsistent. We conducted a meta-analysis of the literature on the association between PM1 and lung function in children and adolescents to fill this gap. With no date or language constraints, we used a combination of MeSH (Medical Subject Headings) terms and free text to search PubMed, EMBASE and Web of Science databases through, 1 October 2022 for "PM1 exposure" and "lung function". A total of 6420 relevant studies were identified through our initial search, and seven studies were included in our study. In this meta-analysis, the fixed effect and random effects statistical models were used to estimate the synthesized effects of the seven included studies. For every 10 μg/m3 increase in short-term PM1 exposure, forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), peak expiratory flow (PEF) and maximal mid-expiratory flow (MMEF) decreased by 31.82 mL (95% CI: 20.18, 43.45), 32.28 mL (95% CI: 16.73, 48.91), 36.85 mL/s (95% CI: 15.33, 58.38) and 34.51 mL/s (95% CI: 19.61, 49.41), respectively. For each 10 μg/m3 increase in long-term PM1 exposure, FVC, FEV1, PEF and MMEF decreased by 102.34 mL (95% CI: 49.30, 155.38), 75.17 mL (95% CI: 39.61, 110.73), 119.01 mL/s (95% CI: 72.14, 165.88) and 44.94 mL/s (95% CI: 4.70, 85.18), respectively. Our study provides further scientific evidence for the harmful effects of PM1 exposure on lung function in children and adolescents, indicating that exposure to PM1 is detrimental to pulmonary health. To reduce the adverse health effects of air pollution on children and adolescents, effective preventive measures should be taken.
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Affiliation(s)
- Zhiqiang Zong
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Mengjie Zhao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Mengyue Zhang
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Kexin Xu
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Yunquan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Xiujun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Chengyang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, Hefei 230032, China
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9
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Cui C, Liu Y, Chen L, Liang S, Shan M, Zhao J, Liu Y, Yu S, Sun Y, Mao J, Zhang H, Gao S, Ma Z. Assessing public health and economic loss associated with black carbon exposure using monitoring and MERRA-2 data. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120190. [PMID: 36122658 DOI: 10.1016/j.envpol.2022.120190] [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: 11/10/2021] [Revised: 09/10/2022] [Accepted: 09/12/2022] [Indexed: 06/15/2023]
Abstract
Black carbon (BC) exposure in China continues to be relatively high, prompting researchers to assess BC exposure levels using data from monitoring sites, satellite remote sensing, and models. However, data regarding the application of a combined strategy comprising the analysis of monitoring data and various types of data to simulate BC exposure levels are lacking. Hence, the current study seeks to estimate short- and long-term BC exposure levels by combining national monitoring data with data from the second Modern-Era Retrospective analysis for Research and Applications (MERRA-2). Furthermore, this study attempts to improve the spatio-temporal resolution of BC exposure levels using Bayesian maximum entropy (BME). The BME model performed well in terms of estimating short- (R2 = 0.74 and RMSE = 1.76 μg/m3) and long-term (R2 = 0.76 and RMSE = 1.3 μg/m3) exposure. Premature mortalities and economic losses were also assessed by applying localised concentration-response coefficients simulated in China. A total of 74,500 (95% confidence interval (CI): 23,900-124,500) and 538,400 (95% CI: 495,000-581,300) all-cause premature mortality cases were found to be associated with short- and long-term BC exposure, respectively. Meanwhile, short-term BC exposure was associated with economic losses ranging from 7.5 to 13.2 billion US dollars (USD) (1 USD = 6.36 RMB on January 19, 2022) based on amended human capital (AHC) and willingness to pay (WTP), accounting for 0.06%-0.1% of China's total gross domestic product (GDP) in 2017 (1.2 × 104 billion USD), respectively. The economic losses for long-term exposure varied from 53 to 93.2 billion USD based on AHC and WTP, accounting for 0.4%-0.8% of China's total GDP in 2017, respectively.
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Affiliation(s)
- Chen Cui
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Yusi Liu
- State Key Laboratory of Severe Weather & Key Laboratory for Atmospheric Chemistry of China Meteorology Administration, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| | - Li Chen
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China.
| | - Shuang Liang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Mei Shan
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Jingwen Zhao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Yaxin Liu
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Shunbang Yu
- School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Yanling Sun
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Jian Mao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Hui Zhang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Zhenxing Ma
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
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10
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Wu H, Zhang Y, Wei J, Bovet P, Zhao M, Liu W, Xi B. Association between short-term exposure to ambient PM 1 and PM 2.5 and forced vital capacity in Chinese children and adolescents. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:71665-71675. [PMID: 35604593 DOI: 10.1007/s11356-022-20842-6] [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: 01/03/2022] [Accepted: 05/11/2022] [Indexed: 05/17/2023]
Abstract
This study aims to examine the association between short-term exposure to ambient PM1, PM1-2.5, and PM2.5 and forced vital capacity (FVC). Population data were obtained from a school-based cross-sectional survey in Shandong in 2014. Distributed lag non-linear models were used to examine the association between exposure to PM1, PM1-2.5, and PM2.5 and FVC at the day of FVC measurement and the previous 6 days (lag 0 to 6 days). A total of 35,334 students aged 9 to 18 years were included in the study, and the mean exposure concentrations of ambient PM1, PM1-2.5, and PM2.5 for them were 47.4 (standard deviation [SD] = 21.3) μg/m3, 32.8 (SD = 32.2) μg/m3, and 80.1 (SD = 47.7) μg/m3, respectively. An inter-quartile range (IQR, 24 μg/m3) increment in exposure to PM1 was significantly associated with a lower FVC at lag 0 and lag 1 day (β = - 80 mL, 95% CI = - 119, - 42, and β = - 37 mL, 95% CI = - 59, - 16, respectively), and an IQR (54 μg/m3) increment in exposure to PM2.5 was significantly associated with a lower FVC at lag 0 and lag 1 day (β = - 57 mL, 95% CI = - 89, - 18, and β = - 34 mL, 95% CI = - 56, - 12, respectively) after adjustment for gender, age, body mass index category, residence, month of the survey, intake of eggs, intake of milk, physical activity, and screen time. No significant associations were observed for PM1-2.5. The inverse associations of PM1 and PM2.5 with FVC were larger in males, younger children, those overweight or obese, and those with insufficient physical activity levels. Short-term exposure to ambient PM1 and PM2.5 was associated with decreased FVC, and PM1 may be the primary fraction of PM2.5 causing the adverse pulmonary effects. Our findings emphasize the need to address ambient PM, especially PM1, pollution for affecting pulmonary health in children and adolescents.
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Affiliation(s)
- Han Wu
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yingxiu Zhang
- Shandong Center for Disease Control and Prevention, Shandong University Institute of Preventive Medicine, Jinan, Shandong, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Pascal Bovet
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Wenhui Liu
- Information and Data Analysis Lab, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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11
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Turner AL, Brokamp C, Wolfe C, Reponen T, Ryan PH. Impact of Personal, Subhourly Exposure to Ultrafine Particles on Respiratory Health in Adolescents with Asthma. Ann Am Thorac Soc 2022; 19:1516-1524. [PMID: 35315743 PMCID: PMC9447389 DOI: 10.1513/annalsats.202108-947oc] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 03/22/2022] [Indexed: 11/20/2022] Open
Abstract
Rationale: Ultrafine particle (UFP; particles <0.1 μm in diameter) concentrations exhibit high spatiotemporal variability; thus, individual-level exposures and health risks are difficult to estimate. Objectives: To determine the effects of recent UFP exposures on respiratory health outcomes in children and to determine if children with asthma are at increased risk. Methods: Personal sampling of UFPs was completed by adolescents in combination with repeated personal spirometry measurements and ecological momentary assessment of respiratory symptoms (wheeze, cough, and/or shortness of breath). We assessed the association between UFP exposures every 30 minutes up to 150 minutes before measuring forced expiratory volume in 1 second (FEV1), peak expiratory flow, and respiratory symptoms using mixed-effects models and interaction with asthma diagnosis. Results: Participants (N = 105; 43% with asthma) completed an average of 11 spirometry measurements and 16 symptom responses throughout sampling. After adjustments (maternal education, physical activity, season, and distance to nearest roadway), a 10-fold increase in UFP exposure was significantly associated with a 0.04-L decrease (95% confidence interval [CI], -0.07 to -0.001) in FEV1 90 minutes later. Asthma status modified this association in which participants with asthma had significantly lower FEV1 values in response to UFP exposures 30 minutes earlier than participants without asthma. We found a significant increase in the odds of reporting a respiratory symptom 30 minutes after increased UFP exposure (odds ratio, 1.8; 95% CI, 1.00 to 3.00). Conclusions: Greater UFP exposure conferred deleterious effects on lung function and respiratory symptoms within 90 minutes of exposure and was more pronounced among participants with asthma.
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Affiliation(s)
| | - Cole Brokamp
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; and
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Chris Wolfe
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Tiina Reponen
- Department of Environmental and Public Health Sciences and
| | - Patrick H. Ryan
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; and
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
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12
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Juskiene I, Prokopciuk N, Franck U, Valiulis A, Valskys V, Mesceriakova V, Kvedariene V, Valiulyte I, Poluzioroviene E, Sauliene I, Valiulis A. Indoor air pollution effects on pediatric asthma are submicron aerosol particle-dependent. Eur J Pediatr 2022; 181:2469-2480. [PMID: 35312840 DOI: 10.1007/s00431-022-04443-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/08/2022] [Accepted: 03/12/2022] [Indexed: 02/01/2023]
Abstract
The school environment is crucial for the child's health and well-being. On the other hand, the data about the role of school's aerosol pollution on the etiology of chronic non-communicable diseases remain scarce. This study aims to evaluate the level of indoor aerosol pollution in primary schools and its relation to the incidence of doctor's diagnosed asthma among younger school-age children. The cross-sectional study was carried out in 11 primary schools of Vilnius during 1 year of education from autumn 2017 to spring 2018. Particle number (PNC) and mass (PMC) concentrations in the size range of 0.3-10 µm were measured using an Optical Particle Sizer (OPS, TSI model 3330). The annual incidence of doctor's diagnosed asthma in each school was calculated retrospectively from the data of medical records. The total number of 6-11 years old children who participated in the study was 3638. The incidence of asthma per school ranged from 1.8 to 6.0%. Mean indoor air pollution based on measurements in classrooms during the lessons was calculated for each school. Levels of PNC and PMC in schools ranged between 33.0 and 168.0 particles/cm3 and 1.7-6.8 µg/m3, respectively. There was a statistically significant correlation between the incidence of asthma and PNC as well as asthma and PMC in the particle size range of 0.3-1 µm (r = 0.66, p = 0.028) and (r = 0.71, p = 0.017) respectively. No significant correlation was found between asthma incidence and indoor air pollution in the particle size range of 0.3-2.5 and 0.3-10 µm. Conclusion: We concluded that the number and mass concentrations of indoor air aerosol pollution in primary schools in the particle size range of 0.3-1 µm are primarily associated with the incidence of doctor's diagnosed asthma among younger school-age children. What is Known: • Both indoor and outdoor aerosol pollution is associated with bronchial asthma in children. What is New: • The incidence of bronchial asthma among younger school age children is related to indoor air quality in primary schools. • Aerosol pollutants in the size range of 0.3-1 µm in contrast to larger size range particles can play major role in the etiology of bronchial asthma in children.
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Affiliation(s)
- Izabele Juskiene
- Clinic of Children's Diseases, Institute of Clinical Medicine, Vilnius University Faculty of Medicine, Antakalnio Str. 57, Vilnius, LT-10207, Lithuania
| | - Nina Prokopciuk
- Clinic of Children's Diseases, Institute of Clinical Medicine, Vilnius University Faculty of Medicine, Antakalnio Str. 57, Vilnius, LT-10207, Lithuania. .,Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences, Vilnius University Faculty of Medicine, Vilnius, Lithuania.
| | - Ulrich Franck
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Algirdas Valiulis
- Department of Rehabilitation, Physical and Sports Medicine, Institute of Health Sciences, Vilnius University Faculty of Medicine, Vilnius, Lithuania
| | - Vaidotas Valskys
- Center of Life Sciences, Institute of Biosciences, Vilnius University, Vilnius, Lithuania
| | | | - Violeta Kvedariene
- Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences, Vilnius University Faculty of Medicine, Vilnius, Lithuania.,Clinic of Chest Diseases and Allergology, Institute of Clinical Medicine, Vilnius University Faculty of Medicine, Vilnius, Lithuania
| | - Indre Valiulyte
- Vilnius University Faculty of Medicine, Vilnius, Lithuania.,Kantonsspital Thurgau, Frauenfeld, Switzerland
| | - Edita Poluzioroviene
- Clinic of Children's Diseases, Institute of Clinical Medicine, Vilnius University Faculty of Medicine, Antakalnio Str. 57, Vilnius, LT-10207, Lithuania
| | | | - Arunas Valiulis
- Clinic of Children's Diseases, Institute of Clinical Medicine, Vilnius University Faculty of Medicine, Antakalnio Str. 57, Vilnius, LT-10207, Lithuania.,Department of Public Health, Institute of Health Sciences, Vilnius University Faculty of Medicine, Vilnius, Lithuania
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13
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Decrue F, Gorlanova O, Salem Y, Vienneau D, de Hoogh K, Gisler A, Usemann J, Korten I, Nahum U, Sinues P, Schulzke S, Fuchs O, Latzin P, Röösli M, Frey U. Increased Impact of Air Pollution on Lung Function in Preterm versus Term Infants: The BILD Study. Am J Respir Crit Care Med 2022; 205:99-107. [PMID: 34587471 DOI: 10.1164/rccm.202102-0272oc] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Rationale: Infants born prematurely have impaired capacity to deal with oxidative stress shortly after birth. Objectives: We hypothesize that the relative impact of exposure to air pollution on lung function is higher in preterm than in term infants. Methods: In the prospective BILD (Basel-Bern Infant Lung Development) birth cohort of 254 preterm and 517 term infants, we investigated associations of particulate matter ⩽10 μm in aerodynamic diameter (PM10) and nitrogen dioxide with lung function at 44 weeks' postconceptional age and exhaled markers of inflammation and oxidative stress response (fractional exhaled nitric oxide [FeNO]) in an explorative hypothesis-driven study design. Multilevel mixed-effects models were used and adjusted for known confounders. Measurements and Main Results: Significant associations of PM10 during the second trimester of pregnancy with lung function and FeNO were found in term and preterm infants. Importantly, we observed stronger positive associations in preterm infants (born 32-36 wk), with an increase of 184.9 (95% confidence interval [CI], 79.1-290.7) ml/min [Formula: see text]e per 10-μg/m3 increase in PM10, than in term infants (75.3; 95% CI, 19.7-130.8 ml/min) (pprematurity × PM10 interaction = 0.04, after multiple comparison adjustment padj = 0.09). Associations of PM10 and FeNO differed between moderate to late preterm (3.4; 95% CI, -0.1 to 6.8 ppb) and term (-0.3; 95% CI, -1.5 to 0.9 ppb) infants, and the interaction with prematurity was significant (pprematurity × PM10 interaction = 0.006, padj = 0.036). Conclusions: Preterm infants showed significantly higher susceptibility even to low to moderate prenatal air pollution exposure than term infants, leading to increased impairment of postnatal lung function. FeNO results further elucidate differences in inflammatory/oxidative stress response when comparing preterm infants with term infants.
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Affiliation(s)
- Fabienne Decrue
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Olga Gorlanova
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Yasmin Salem
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Danielle Vienneau
- University of Basel, Basel, Switzerland.,Swiss Tropical and Public Health Institute Basel, Basel, Switzerland
| | - Kees de Hoogh
- University of Basel, Basel, Switzerland.,Swiss Tropical and Public Health Institute Basel, Basel, Switzerland
| | | | - Jakob Usemann
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.,Division of Respiratory Medicine, University Children's Hospital of Zürich, Zürich, Switzerland; and
| | - Insa Korten
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Uri Nahum
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Pablo Sinues
- University Children's Hospital Basel UKBB.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | | | - Oliver Fuchs
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Philipp Latzin
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Martin Röösli
- University of Basel, Basel, Switzerland.,Swiss Tropical and Public Health Institute Basel, Basel, Switzerland
| | - Urs Frey
- University Children's Hospital Basel UKBB.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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14
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Turner A, Brokamp C, Wolfe C, Reponen T, Ryan P. Personal exposure to average weekly ultrafine particles, lung function, and respiratory symptoms in asthmatic and non-asthmatic adolescents. ENVIRONMENT INTERNATIONAL 2021; 156:106740. [PMID: 34237487 PMCID: PMC8380734 DOI: 10.1016/j.envint.2021.106740] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/27/2021] [Accepted: 06/24/2021] [Indexed: 06/13/2023]
Abstract
An increasing amount of evidence suggests ultrafine particles (UFPs) are linked to adverse health effects, especially in those with chronic conditions such as asthma, due to their small size and physicochemical characteristics. Toxicological and experimental studies have demonstrated these properties, and the mechanisms by which they deposit and translocate in the body result in increased toxicity in comparison to other air pollutants. However, current epidemiological literature is limited due to exposure misclassification and thus identifying health outcomes associated with UFPs. The objective of this study was to investigate the association between weekly personal UFP exposure with lung function and respiratory symptoms in 117 asthmatic and non-asthmatic adolescents between 13 and 17 years of age in the Cincinnati area. Between 2017 and 2019, participants collected weekly UFP concentrations by sampling for 3 h a day in their home, school, and during transit. In addition, pulmonary function was evaluated at the end of the sampling week, and respiratory symptoms were logged on a mobile phone application. Multivariable linear regression and zero-inflated Poisson (ZIP) models were used to estimate the association between personal UFP and respiratory outcomes. The average median weekly UFP exposure of all participants was 4340 particles/cm3 (p/cc). Results of fully adjusted regression models revealed a negative association between UFPs and percent predicted forced expiratory volume/forced vital capacity ratio (%FEV1/FVC) (β:-0.03, 95% CI [-0.07, 0.02]). Prediction models estimated an association between UFPs and respiratory symptoms, which was greater in asthmatics compared to non-asthmatics. Our results indicate an interaction between asthma status and the likelihood of experiencing respiratory symptoms when exposed to UFPs, indicating an exacerbation of this chronic condition. More research is needed to determine the magnitude of the role UFPs play on respiratory health.
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Affiliation(s)
- Ashley Turner
- Department of Environmental Health, College of Medicine, University of Cincinnati, United States.
| | - Cole Brokamp
- Department of Pediatrics, College of Medicine, University of Cincinnati, United States; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, United States
| | - Chris Wolfe
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, United States
| | - Tiina Reponen
- Department of Environmental Health, College of Medicine, University of Cincinnati, United States
| | - Patrick Ryan
- Department of Pediatrics, College of Medicine, University of Cincinnati, United States; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, United States
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15
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Wang L, Bao S, Liu X, Wang F, Zhang J, Dang P, Wang F, Li B, Lin Y. Low-dose exposure to black carbon significantly increase lung injury of cadmium by promoting cellular apoptosis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 224:112703. [PMID: 34479021 DOI: 10.1016/j.ecoenv.2021.112703] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/18/2021] [Accepted: 08/23/2021] [Indexed: 06/13/2023]
Abstract
Particulate matter 2.5 (PM2.5) has adverse biological effects on major living organs in the body, including lungs. The complex composition of PM2.5, including carbon black and heavy metals, cause toxic effects to the lung. Nonetheless, there exists considerable knowledge gaps regarding the impact of carbon black (CB) on environmental health and safety (EHS). Thus far, the synergistic effects of CB have not gained much attention in past decades. Here, we showed that combined exposure of CB and Cadmium (Cd) enhance the cytotoxicity by altering the state of cell membrane. Specially, CB caused cell membrane collapse and increased the permeability of cells, and remarkedly enhanced the metal Cd toxicity. Furthermore, upon pre-treatment sublethal-dose CB, the increased intracellular Cd brought about a significantly amount of lactate dehydrogenase (LDH) and high expression of metallothionein-1 (MT-1) in human lung epithelial cell line (BEAS-2B) cells, and ultimately resulted an increased cellular toxicity. The lung of mice exposed CBs and Cd presented remarkably inflammation than Cd alone. Mechanistic exploration deciphered that CB pre-treatment triggered cell damage via apoptosis due to Cd exposure. Collectively, our findings reveal a novel path for understanding the impact of CB on EHS with its synergistic effects, through which nanomaterials might exert detrimental effects on organisms.
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Affiliation(s)
- Lingjuan Wang
- Tianjin Medical University General Hospital, Tianjin 300211, China; Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Shanyu Bao
- Tianjin Medical University General Hospital, Tianjin 300211, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Xiaolong Liu
- Tianjin Medical University General Hospital, Tianjin 300211, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Fan Wang
- Tianjin Medical University General Hospital, Tianjin 300211, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jinwei Zhang
- Tianjin Medical University General Hospital, Tianjin 300211, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Pengyu Dang
- Tianjin Medical University General Hospital, Tianjin 300211, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Fengli Wang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Bin Li
- Tianjin Medical University General Hospital, Tianjin 300211, China; Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Yi Lin
- Tianjin Medical University General Hospital, Tianjin 300211, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
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16
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Jung KH, Goodwin KE, Perzanowski MS, Chillrud SN, Perera FP, Miller RL, Lovinsky-Desir S. Personal Exposure to Black Carbon at School and Levels of Fractional Exhaled Nitric Oxide in New York City. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:97005. [PMID: 34495741 PMCID: PMC8425518 DOI: 10.1289/ehp8985] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Schools are often located near traffic sources, leading to high levels of exposure to traffic-related air pollutants, including black carbon (BC). Thus, the school environment could play in a significant role in the adverse respiratory health of children. OBJECTIVES Our objective was to determine associations between personal BC levels at school and airway inflammation [i.e., fractional exhaled nitric oxide (FeNO)] in school-age children. We hypothesized that higher school BC (SBC) would be associated with higher FeNO. METHODS Children 9-14 years of age in New York City (NYC) (n=114) wore BC monitors for two 24-h periods over a 6-d sampling period, repeated 6 months later. SBC was defined as the average personal BC concentrations measured during NYC school hours (i.e., 0830-1430 hours). FeNO was measured following each 24-h BC monitoring period. Multivariable linear regression in generalized estimating equation models were used to examine associations between SBC and FeNO. Results are presented as percentage difference (PD) in FeNO. RESULTS Personal BC at school was associated with higher FeNO (PD=7.47% higher FeNO per 1-μg/m3 BC (95% CI: 1.31, 13.9), p=0.02]. Compared with BC exposure during school, a smaller PD in FeNO was observed in association with BC exposure while commuting to and from school [PD=6.82% (95% CI: 0.70, 13.3), p=0.03]. Personal BC in non-school environments and residential BC were not associated with FeNO (p>0.05). A significant association between personal BC at school and FeNO was observed among children with seroatopy who did not have asthma [PD=21.5% (95% CI: 4.81, 40.9), p=0.01]. DISCUSSION Schools may be important sources of BC exposure that contribute to airway inflammation in school-age children. Our results provide rationale for interventions that target improved air quality in urban schools and classrooms. https://doi.org/10.1289/EHP8985.
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Affiliation(s)
- Kyung Hwa Jung
- Division of Pediatric Pulmonary, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Kathleen E. Goodwin
- Division of Pediatric Pulmonary, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Matthew S. Perzanowski
- Mailman School of Public Health, Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Steven N. Chillrud
- Lamont-Doherty Earth Observatory, Columbia University, New York, New York, USA
| | - Frederica P. Perera
- Mailman School of Public Health, Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Rachel L. Miller
- Division of Clinical Immunology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stephanie Lovinsky-Desir
- Division of Pediatric Pulmonary, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
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Faridi S, Yousefian F, Janjani H, Niazi S, Azimi F, Naddafi K, Hassanvand MS. The effect of COVID-19 pandemic on human mobility and ambient air quality around the world: A systematic review. URBAN CLIMATE 2021; 38:100888. [PMID: 36536793 PMCID: PMC9750834 DOI: 10.1016/j.uclim.2021.100888] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 05/18/2021] [Accepted: 06/13/2021] [Indexed: 05/19/2023]
Abstract
We conducted this systematic review to identify and appraise studies investigating the coronavirus disease 2019 (COVID-19) effect on ambient air pollution status worldwide. The review of studies was conducted using determined search terms via three major electronic databases (PubMed, Web of Science, and Scopus) according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. A total of 26 full-text studies were included in our analysis. The lockdown measures related to COVID-19 pandemic caused significant decreases in the concentrations of PM2.5, NO2, PM10, SO2 and CO globally in the range of 2.9%-76.5%, 18.0%-96.0%, 6.0%-75.0%, 6.8%-49.0% and 6.2%-64.8%, respectively. However, O3 concentration increased in the range of 2.4%-252.3%. The highest decrease of PM2.5 was found in 16 states of Malaysia (76.5%), followed by Zaragoza (Spain) with 58.0% and Delhi (India) with 53.1%. The highest reduction of NO2 was found in Salé city (Morocco) with 96.0%, followed by Mumbai (India) with 75.0%, India with 70.0%, Valencia (Spain) with 69.0%, and São Paulo (Brazil) with 68.0%, respectively. The highest increase of O3 was recorded for Milan (Italy) with 252.3% and 169.9% during the first and third phases of lockdown measures, and for Kolkata (India) with 87% at the second phase of lockdown measures. Owing to the lockdown restrictions in the studied countries and cities, driving and public transit as a proxy of human mobilities and the factors affecting emission sources of ambient air pollution decreased in the ranges of 30-88% and 45-94%, respectively. There was a considerable variation in the reduction of ambient air pollutants in the countries and cities as the degree of lockdown measures had varied there. Our results illustrated that the COVID-19 pandemic had provided lessons and extra motivations for comprehensive implementing policies to reduce air pollution and its health effects in the future.
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Affiliation(s)
- Sasan Faridi
- Centre for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Yousefian
- Department of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran
| | - Hosna Janjani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Sadegh Niazi
- Queensland University of Technology (QUT), Faculty of Science, School of Earth and Atmospheric Siences, Brisbane 4001, Australia
| | - Faramarz Azimi
- Department of Environment Health Engineering, Environmental Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Kazem Naddafi
- Centre for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadegh Hassanvand
- Centre for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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18
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Wu Y, Li H, Xu D, Li H, Chen Z, Cheng Y, Yin G, Niu Y, Liu C, Kan H, Yu D, Chen R. Associations of fine particulate matter and its constituents with airway inflammation, lung function, and buccal mucosa microbiota in children. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 773:145619. [PMID: 33926694 DOI: 10.1016/j.scitotenv.2021.145619] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/27/2021] [Accepted: 01/30/2021] [Indexed: 05/06/2023]
Abstract
BACKGROUND Previous studies have suggested acute effects of ambient fine particulate matter (PM2.5) air pollution on respiratory health among children, but evidence for PM2.5 constituents and respiratory health were still limited. OBJECTIVES To investigate associations of short-term exposure to PM2.5 and its constituents with airway inflammation, lung function, and airway microbiota in children. METHODS We conducted a longitudinal panel study with 3 repeated health measurements among 62 children in Shanghai, China from November 2018 to June 2019. Respiratory health was measured by fractional exhaled nitric oxide (FeNO), saliva tumor necrosis factor-α (TNF-α), lung function (forced vital capacity and forced exhaled volume in 1 s), and microbiota diversity in buccal mucosa samples. Based on the linear mixed-effect models, we applied the single-constituent models and the constituent-PM2.5 adjustment models to examine the associations between PM2.5 constituents and health outcomes. RESULT Short-term exposure to PM2.5 was associated with higher TNF-α, FeNO levels and reduced lung function. Among all constituents, organic carbon, elemental carbon, NO3- and NH4+ had the consistent and strongest associations with airway inflammation biomarkers and lung function parameters, followed by metallic elements. We also found short-term PM2.5 exposure was associated with decreased diversity in buccal mucosa bacterial community and two bacterial phyla, Fusobacteria and Proteobacteria, were identified as differential microbes with PM2.5 exposure. CONCLUSION Short-term exposure to PM2.5 may impair children's respiratory health represented by higher airway inflammation, lower lung function and altered buccal mucosa microbial colonization. Organic carbon, elemental carbon, NO3- and NH4+ may dominate these effects.
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Affiliation(s)
- Yihan Wu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Hongjin Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Dong Xu
- Xuhui District Center for Disease Prevention and Control, Shanghai 200237, China
| | - Huichu Li
- Department of Environmental Health, Harvard T.H.Chan School of Public Health, Boston, MA 02115, USA
| | - Zhe Chen
- Xuhui District Center for Disease Prevention and Control, Shanghai 200237, China
| | - Yu Cheng
- Xuhui District Center for Disease Prevention and Control, Shanghai 200237, China
| | - Guanjin Yin
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Dedong Yu
- Department of 2nd Dental Center, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Shanghai Typhoon Institute/CMA, Shanghai, Key Laboratory of Meteorology and Health, Shanghai, 200030, China.
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Lequy E, Siemiatycki J, de Hoogh K, Vienneau D, Dupuy JF, Garès V, Hertel O, Christensen JH, Zhivin S, Goldberg M, Zins M, Jacquemin B. Contribution of Long-Term Exposure to Outdoor Black Carbon to the Carcinogenicity of Air Pollution: Evidence regarding Risk of Cancer in the Gazel Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:37005. [PMID: 33759553 PMCID: PMC7989243 DOI: 10.1289/ehp8719] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 02/19/2021] [Accepted: 02/22/2021] [Indexed: 05/31/2023]
Abstract
BACKGROUND Black carbon (BC), a component of fine particulate matter [particles with an aerodynamic diameter ≤2.5 μm (PM2.5)], may contribute to carcinogenic effects of air pollution. Until recently however, there has been little evidence to evaluate this hypothesis. OBJECTIVE This study aimed to estimate the associations between long-term exposure to BC and risk of cancer. This study was conducted within the French Gazel cohort of 20,625 subjects. METHODS We assessed exposure to BC by linking subjects' histories of residential addresses to a map of European black carbon levels in 2010 with back- and forward-extrapolation between 1989 and 2015. We used extended Cox models, with attained age as time-scale and time-varying cumulative exposure to BC, adjusted for relevant sociodemographic and lifestyle variables. To consider latency between exposure and cancer diagnosis, we implemented a 10-y lag, and as a sensitivity analysis, a lag of 2 y. To isolate the effect of BC from that of total PM2.5, we regressed BC on PM2.5 and used the residuals as the exposure variable. RESULTS During the 26-y follow-up period, there were 3,711 incident cancer cases (all sites combined) and 349 incident lung cancers. Median baseline exposure in 1989 was 2.65 10-5/m [interquartile range (IQR): 2.23-3.33], which generally slightly decreased over time. Using 10 y as a lag-time in our models, the adjusted hazard ratio per each IQR increase of the natural log-transformed cumulative BC was 1.17 (95% confidence interval: 1.06, 1.29) for all-sites cancer combined and 1.31 (0.93, 1.83) for lung cancer. Associations with BC residuals were also positive for both outcomes. Using 2 y as a lag-time, the results were similar. DISCUSSION Our findings for a cohort of French adults suggest that BC may partly explain the association between PM2.5 and lung cancer. Additional studies are needed to confirm our results and further disentangle the effects of BC, total PM2.5, and other constituents. https://doi.org/10.1289/EHP8719.
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Affiliation(s)
- Emeline Lequy
- UMS 011, Institut national de la santé et de la recherché médicale (Inserm), Villejuif, France
- Centre de recherche du centre hospitalier de l’université de Montréal, Université de Montréal, Québec, Canada
| | - Jack Siemiatycki
- Centre de recherche du centre hospitalier de l’université de Montréal, Université de Montréal, Québec, Canada
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | | | - Valérie Garès
- UMR 6625 IRMAR, INSA, CNRS, Université de Rennes, Rennes, France
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Sergey Zhivin
- UMS 011, Institut national de la santé et de la recherché médicale (Inserm), Villejuif, France
| | - Marcel Goldberg
- UMS 011, Institut national de la santé et de la recherché médicale (Inserm), Villejuif, France
| | - Marie Zins
- UMS 011, Institut national de la santé et de la recherché médicale (Inserm), Villejuif, France
| | - Bénédicte Jacquemin
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) – UMR_S 1085, Rennes, France
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Hachem M, Loizeau M, Saleh N, Momas I, Bensefa-Colas L. Short-term association of in-vehicle ultrafine particles and black carbon concentrations with respiratory health in Parisian taxi drivers. ENVIRONMENT INTERNATIONAL 2021; 147:106346. [PMID: 33388565 DOI: 10.1016/j.envint.2020.106346] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 12/05/2020] [Accepted: 12/14/2020] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Professional drivers are exposed inside their vehicles to high levels of air pollutants due to the considerable time they spend close to motor vehicle emissions. Little is known about ultrafine particles (UFP) or black carbon (BC) adverse respiratory health effects compared to the regulated pollutants. OBJECTIVES We aimed to study the short-term associations between UFP and BC concentrations inside vehicles and (1) the onset of mucosal irritation and (2) the acute changes in lung function of Parisian taxi drivers during a working day. METHODS An epidemiological study was carried out on 50 taxi drivers in Paris. UFP and BC were measured inside their vehicles with DiSCmini® and microAeth®, respectively. On the same day, the frequency and the severity of nose, eye, and throat irritations were self-reported by each participant and a spirometry test was performed before and after the work shift. Multivariate analysis was used to evaluate the associations between in-taxis UFP and BC concentrations and mucosal irritation and lung function, after adjustment for potential confounders. RESULTS In-taxis UFP concentrations ranged from 17.9 to 37.9 × 103 particles/cm3 and BC concentrations from 2.2 to 3.9 μg/m3, during a mean of 9 ± 2 working hours. Significant dose-response relationships were observed between in-taxis UFP concentrations and both nasal irritation and lung function. The increase of in-taxis UFP (for an interquartile range of 20 × 103 particles/cm3) was associated to an increase in nasal irritation (adjusted OR = 6.27 [95% CI: 1.02 to 38.62]) and to a reduction in forced expiratory flow at 25-75% by -7.44% [95% CI: -12.63 to -2.24], forced expiratory volume in one second by -4.46% [95% CI: -6.99 to -1.93] and forced vital capacity by -3.31% [95% CI: -5.82 to -0.80]. Such associations were not found with BC. Incident throat and eye irritations were not related to in-vehicle particles exposure; however, they were associated with outdoor air quality (estimated by the Atmo index) and in-vehicle humidity, respectively. CONCLUSION To our knowledge, our study is the first to show a significant association, within a short-period of time, between in and vehicle UFP exposure and acute respiratory effects in professional drivers.
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Affiliation(s)
- Melissa Hachem
- Paris University, CRESS - INSERM UMR_1153, INRAE, HERA team, Paris, France; Lebanese University, Faculty of Public Health, Pharmacoepidemiology Surveillance Unit, CERIPH, Fanar, Lebanon
| | - Maxime Loizeau
- Paris University, CRESS - INSERM UMR_1153, INRAE, HERA team, Paris, France; Hôtel-Dieu Hospital, APHP. Centre - Paris University, Department of Occupational and Environmental Diseases, Paris, France
| | - Nadine Saleh
- Lebanese University, Faculty of Public Health, Pharmacoepidemiology Surveillance Unit, CERIPH, Fanar, Lebanon; Lebanese University, Faculty of Public Health II, INSPECT-LB, Fanar, Lebanon
| | - Isabelle Momas
- Paris University, CRESS - INSERM UMR_1153, INRAE, HERA team, Paris, France.
| | - Lynda Bensefa-Colas
- Paris University, CRESS - INSERM UMR_1153, INRAE, HERA team, Paris, France; Hôtel-Dieu Hospital, APHP. Centre - Paris University, Department of Occupational and Environmental Diseases, Paris, France
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21
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Li H, Xu D, Li H, Wu Y, Cheng Y, Chen Z, Yin G, Wang W, Ge Y, Niu Y, Liu C, Cai J, Kan H, Yu D, Chen R. Exposure to ultrafine particles and oral flora, respiratory function, and biomarkers of inflammation: A panel study in children. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 273:116489. [PMID: 33485003 DOI: 10.1016/j.envpol.2021.116489] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/27/2020] [Accepted: 01/08/2021] [Indexed: 06/12/2023]
Abstract
Particulate matter (PM) is the most important air pollution problem that leads to substantial health effects. However, very few studies focused on the effects of ultrafine particles (UFPs, particles< 0.1 μm) on children respiratory health. We performed a panel study with 3 rounds of follow-up among 65 pupils at the Elementary School Affiliated to Shanghai Normal University in China from November 2018 to June 2019. Real-time concentrations of UFPs were measured in the campus. In each visit, we detected biomarkers in saliva and microflora in buccal mucosa, fractional exhaled nitric oxide (FeNO) and lung function. We applied a linear mixed-effect (LME) model to examine the associations of UFPs and each health outcome. We found increased levels of FeNO and tumor necrosis factor-α (TNF-α) and reduced lung function in association with higher UFP exposure. For each interquartile range increase of UFPs, the largest changes were found in lag 0-72 h for forced vital capacity [-69.02 ml (95% CI: -114.20, -23.84)], TNF-α [13.41 pg/ml (95% CI: 7.08, 19.73)], and FeNO [26.85% (95% CI: 11.84%, 43.88%)]. UFP exposure was associated with reduced diversity in buccal microflora with largest reduction in lag 0-72 h [12.24 (95% CI: 7.76, 16.71) for Ace index; 8.78 (95% CI: 2.96, 14.60) for Chao1 index]. UFP exposure was also associated with increased Streptococcus, Gemella, and decreased Actinomyces. Short-term UFP exposures may impair the respiratory system by inducing inflammation, decreasing lung function and attenuating buccal microbe diversity in children.
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Affiliation(s)
- Hongjin Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Dong Xu
- Xuhui District Center for Disease Prevention and Control, Shanghai, 200237, China
| | - Huichu Li
- Department of Environmental Health, Harvard T.H.Chan School of Public Health, Boston, MA, 02115, USA
| | - Yihan Wu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yu Cheng
- Xuhui District Center for Disease Prevention and Control, Shanghai, 200237, China
| | - Zhe Chen
- Xuhui District Center for Disease Prevention and Control, Shanghai, 200237, China
| | - Guanjin Yin
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yihui Ge
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Dedong Yu
- Department of 2nd Dental Center, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China.
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