1
|
Maccarone J, Grady ST, Moy ML, Hart JE, Kang CM, Coull BA, Schwartz JD, Koutrakis P, Zhang J, Garshick E. Indoor (residential) and ambient particulate matter associations with urinary oxidative stress biomarkers in a COPD cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 897:165352. [PMID: 37419349 PMCID: PMC10529440 DOI: 10.1016/j.scitotenv.2023.165352] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/18/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
OBJECTIVES Oxidative stress contributes to chronic obstructive pulmonary disease (COPD) pathophysiology. Associations between indoor (residential) exposure to particulate matter ≤2.5 μm in diameter (PM2.5) and one of its components, black carbon (BC), and oxidative stress are ill-defined. METHODS Between 2012 and 2017, 140 patients with COPD completed in-home air sampling over one week intervals, followed by collection of urine samples to measure oxidative stress biomarkers, malondialdehyde (MDA), a marker of lipid peroxidation, and 8-hydroxy-2' -deoxyguanosine (8-OHdG), a marker of oxidative DNA damage. Ambient (central site) BC and PM2.5 were measured, and the ratio of indoor/ambient sulfur in PM2.5, a surrogate for residential ventilation and particle infiltration, was used to estimate indoor BC and PM2.5 of outdoor origin. Mixed effects linear regression models with a participant-specific random intercept were used to assess associations with oxidative biomarkers, adjusting for personal characteristics. RESULTS There were positive associations (% increase per IQR; 95 % CI) of directly measured indoor BC with total MDA (6.96; 1.54, 12.69) and 8-OHdG (4.18; -0.67, 9.27), and similar associations with both indoor BC of outdoor origin and ambient BC. There were no associations with directly measured indoor PM2.5, but there were positive associations between indoor PM2.5 of outdoor origin and total MDA (5.40; -0.91, 12.11) and 8-OHdG (8.02; 2.14, 14.25). CONCLUSIONS In homes with few indoor combustion sources, directly measured indoor BC, estimates of indoor BC and PM2.5 of outdoor origin, and ambient BC, were positively associated with urinary biomarkers of oxidative stress. This suggests that the infiltration of particulate matter from outdoor sources, attributable to traffic and other sources of combustion, promotes oxidative stress in COPD patients.
Collapse
Affiliation(s)
- Jennifer Maccarone
- VA Boston Healthcare System, Boston, MA, USA; The Pulmonary Center, Boston University School of Medicine, Boston, MA, USA.
| | | | - Marilyn L Moy
- VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Brent A Coull
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel D Schwartz
- Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Junfeng Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Eric Garshick
- VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
2
|
Blumberg AH, Ebelt ST, Liang D, Morris CR, Sarnat JA. Ambient air pollution and sickle cell disease-related emergency department visits in Atlanta, GA. ENVIRONMENTAL RESEARCH 2020; 184:109292. [PMID: 32179263 PMCID: PMC7847665 DOI: 10.1016/j.envres.2020.109292] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/01/2023]
Abstract
BACKGROUND Sickle cell disease (SCD) is an inherited, autosomal recessive blood disorder, among the most prevalent genetic diseases, globally. While the genetic and hemolytic dynamics of SCD have been well-characterized, the etiology of SCD-related pathophysiological processes is unclear. Although limited, observational evidence suggests that environmental factors, including urban air pollution, may play a role. OBJECTIVES We assessed whether daily ambient air pollution concentrations are associated with corresponding emergency department (ED) visit counts for acute SCD exacerbations in Atlanta, Georgia, during a 9-year (2005-2013) period. We also examined heterogeneity in response by age and sex. METHODS ED visit data were from 41 hospitals in the 20-county Atlanta, GA area. Associations between daily air pollution levels for 8 urban air pollutants and counts of SCD related ED visits were estimated using Poisson generalized linear models. RESULTS We observed positive associations between pollutants generally indicative of traffic emissions and corresponding SCD ED visits [e.g., rate ratio of 1.022 (95% CI: 1.002, 1.043) per interquartile range increase in carbon monoxide]. Age stratified analyses indicated stronger associations with traffic pollutants among children (0-18 years), as compared to older age strata. Associations involving other pollutants, including ozone and particulate matter and for models of individuals >18 years old, were consistent a null hypothesis of no association. DISCUSSION This analysis represents the first North American study to examine acute risk among individuals with SCD to urban air pollution and provide evidence of urban air pollution, especially from traffic sources, as a trigger for acute exacerbations. These findings are consistent with a hypothesis that biological pathways, including several centrally associated with oxidative stress, may contribute towards enhanced susceptibility in individuals with SCD.
Collapse
|
3
|
Chen XC, Chow JC, Ward TJ, Cao JJ, Lee SC, Watson JG, Lau NC, Yim SHL, Ho KF. Estimation of personal exposure to fine particles (PM 2.5) of ambient origin for healthy adults in Hong Kong. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 654:514-524. [PMID: 30447590 DOI: 10.1016/j.scitotenv.2018.11.088] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 10/29/2018] [Accepted: 11/07/2018] [Indexed: 06/09/2023]
Abstract
Personal exposure and ambient fine particles (PM2.5) measurements for 13 adult subjects (ages 19-57) were conducted in Hong Kong between April 2014 and June 2015. Six to 21 personal samples (mean = 19) per subject were obtained throughout the study period. Samples were analyzed for mass by gravimetric analysis, and 19 elements (from Na to Pb) were analyzed using X-Ray Fluorescence. Higher subject-specific correlations between personal and ambient sulfur (rs = 0.92; p < 0.001) were found as compared to PM2.5 mass (rs = 0.79; p < 0.001) and other elements (0.06 < rs < 0.86). Personal vs. ambient sulfur regression yielded an average exposure factor (Fpex) of 0.73 ± 0.02, supporting the use of sulfur as a surrogate to estimate personal exposure to PM2.5 of ambient origin (Ea). Ea accounted for 41-82% and 57-73% of total personal PM2.5 exposures (P) by season and by subject, respectively. The importance of both Ea and non-ambient exposures (Ena, 11.2 ± 5.6 μg/m3; 32.5 ± 10.9%) are noted. Mixed-effects models were applied to estimate the relationships between ambient PM2.5 concentrations and their corresponding exposure variables (Ea, P). Higher correlations for Ea (0.90; p < 0.001) than for P (0.58; p < 0.01) were found. A calibration coefficient < 1 suggests an attenuation of 22% (ranging 16-28%) of the true effect estimates when using average ambient concentrations at central monitoring stations as surrogates for Ea. Stationary ambient data can be used to assess population exposure only if PM exposure is dominated by Ea.
Collapse
Affiliation(s)
- Xiao-Cui Chen
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
| | - Judith C Chow
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA; Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - Tony J Ward
- School of Public and Community Health Sciences, University of Montana, Missoula, MT, USA
| | - Jun-Ji Cao
- Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China; Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, China
| | - Shun-Cheng Lee
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
| | - John G Watson
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA; Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - Ngar-Cheung Lau
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong
| | - Steve H L Yim
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong
| | - Kin-Fai Ho
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China; Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
| |
Collapse
|
4
|
Miller KA, Spalt EW, Gassett AJ, Curl CL, Larson TV, Avol E, Allen RW, Vedal S, Szpiro AA, Kaufman JD. Estimating ambient-origin PM 2.5 exposure for epidemiology: observations, prediction, and validation using personal sampling in the Multi-Ethnic Study of Atherosclerosis. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2019; 29:227-237. [PMID: 30166581 PMCID: PMC6380932 DOI: 10.1038/s41370-018-0053-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 03/26/2018] [Accepted: 04/08/2018] [Indexed: 05/19/2023]
Abstract
OBJECTIVES We aim to characterize the qualities of estimation approaches for individual exposure to ambient-origin fine particulate matter (PM2.5), for use in epidemiological studies. METHODS The analysis incorporates personal, home indoor, and home outdoor air monitoring data and spatio-temporal model predictions for 60 participants from the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). We compared measurement-based personal PM2.5 exposure with several measured or predicted estimates of outdoor, indoor, and personal exposures. RESULTS The mean personal 2-week exposure was 7.6 (standard deviation 3.7) µg/m3. Outdoor model predictions performed far better than outdoor concentrations estimated using a nearest-monitor approach (R = 0.63 versus R = 0.43). Incorporating infiltration indoors of ambient-derived PM2.5 provided better estimates of the measurement-based personal exposures than outdoor concentration predictions (R = 0.81 versus R = 0.63) and better scaling of estimated exposure (mean difference 0.4 versus 5.4 µg/m3 higher than measurements), suggesting there is value to collecting data regarding home infiltration. Incorporating individual-level time-location information into exposure predictions did not increase correlations with measurement-based personal exposures (R = 0.80) in our sample consisting primarily of retired persons. CONCLUSIONS This analysis demonstrates the importance of incorporating infiltration when estimating individual exposure to ambient air pollution. Spatio-temporal models provide substantial improvement in exposure estimation over a nearest monitor approach.
Collapse
Affiliation(s)
| | | | | | | | | | - Ed Avol
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | | | | |
Collapse
|
5
|
Chen XC, Ward TJ, Cao JJ, Lee SC, Chow JC, Lau GNC, Yim SHL, Ho KF. Determinants of personal exposure to fine particulate matter (PM 2.5) in adult subjects in Hong Kong. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 628-629:1165-1177. [PMID: 30045539 DOI: 10.1016/j.scitotenv.2018.02.049] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 01/31/2018] [Accepted: 02/05/2018] [Indexed: 06/08/2023]
Abstract
Personal monitoring for fine particulate matter (PM2.5) was conducted for adults (48 subjects, 18-63years of age) in Hong Kong during the summer and winter of 2014-2015. All filters were analyzed for PM2.5 mass and constituents (including carbonaceous aerosols, water-soluble ions, and elements). We found that season (p=0.02) and occupation (p<0.001) were significant factors affecting the strength of the personal-ambient PM2.5 associations. We applied mixed-effects models to investigate the determinants of personal exposure to PM2.5 mass and constituents, along with within- and between-individual variance components. Ambient PM2.5 was the dominant predictor of (R2=0.12-0.59, p<0.01) and the largest contributor (>37.3%) to personal exposures for PM2.5 mass and most components. For all subjects, a one-unit (2.72μg/m3) increase in ambient PM2.5 was associated with a 0.75μg/m3 (95% CI: 0.59-0.94μg/m3) increase in personal PM2.5 exposure. The adjusted mixed-effects models included information extracted from individual's activity diaries as covariates. The results showed that season, occupation, time indoors at home, in transit, and cleaning were significant determinants for PM2.5 components in personal exposure (R2β=0.06-0.63, p<0.05), contributing to 3.0-70.4% of the variability. For one-hour extra time spent at home, in transit, and cleaning an average increase of 1.7-3.6% (ammonium, sulfate, nitrate, sulfur), 2.7-12.3% (elemental carbon, ammonium, titanium, iron), and 8.7-19.4% (ammonium, magnesium ions, vanadium) in components of personal PM2.5 were observed, respectively. In this research, the within-individual variance component dominated the total variability for all investigated exposure data except PM2.5 and EC. Results from this study indicate that performing long-term personal monitoring is needed for examining the associations of mass and constituents of personal PM2.5 with health outcomes in epidemiological studies by describing the impacts of individual-specific data on personal exposures.
Collapse
Affiliation(s)
- Xiao-Cui Chen
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
| | - Tony J Ward
- School of Public and Community Health Sciences, University of Montana, Missoula, MT, USA
| | - Jun-Ji Cao
- Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China; Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, China
| | - Shun-Cheng Lee
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
| | - Judith C Chow
- Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China; Division of Atmospheric Sciences, Desert Research Institute, NV 89512-1095, USA
| | - Gabriel N C Lau
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
| | - Steve H L Yim
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China; Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
| | - Kin-Fai Ho
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.
| |
Collapse
|
6
|
Chen XC, Jahn HJ, Engling G, Ward TJ, Kraemer A, Ho KF, Chan CY. Characterization of ambient-generated exposure to fine particles using sulfate as a tracer in the Chinese megacity of Guangzhou. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 580:347-357. [PMID: 27955968 DOI: 10.1016/j.scitotenv.2016.10.241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 09/24/2016] [Accepted: 10/13/2016] [Indexed: 06/06/2023]
Abstract
Total personal exposures can differ from the concentrations measured at stationary ambient monitoring sites. To provide further insight into factors affecting exposure to particles, chemical tracers were used to separate total personal exposure into its ambient and non-ambient components. Simultaneous measurements of ambient and personal exposure to fine particles (PM2.5) were conducted in eight districts of Guangzhou, a megacity in South China, during the winter of 2011. Considerable significant correlations (Spearman's Rho, rs) between personal exposures and ambient concentrations of sulfate (SO42-; rs>0.68) were found in contrast to elemental carbon (EC; rs>0.37). The average fraction of personal SO42- to ambient SO42- resulting in an adjusted ambient exposure factor of α=0.72 and a slope of 0.73 was determined from linear regression analysis when there were minimal indoor sources of SO42-. From all data pooled across the districts, the estimated average ambient-generated and non-ambient-generated exposure to PM2.5 were 55.3μg/m3 (SD=23.4μg/m3) and 18.1μg/m3 (SD=29.1μg/m3), respectively. A significant association was found between ambient-generated exposure and ambient PM2.5 concentrations (Pearson's r=0.51, p<0.001). As expected, the non-ambient generated exposure was not related to the ambient concentrations. This study highlights the importance of both ambient and non-ambient components of total personal exposure in the megacity of Guangzhou. Our results support the use of SO42- as a tracer of personal exposure to PM2.5 of ambient origin in environmental and epidemiological studies.
Collapse
Affiliation(s)
- Xiao-Cui Chen
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
| | - Heiko J Jahn
- Department of Public Health Medicine, School of Public Health, Bielefeld University, Bielefeld, Germany
| | - Guenter Engling
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, USA; Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan
| | - Tony J Ward
- School of Public and Community Health Sciences, University of Montana, Missoula, MT, USA
| | - Alexander Kraemer
- Department of Public Health Medicine, School of Public Health, Bielefeld University, Bielefeld, Germany
| | - Kin-Fai Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Chuen-Yu Chan
- Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| |
Collapse
|
7
|
Xu J, Zhang N, Han B, You Y, Zhou J, Zhang J, Niu C, Liu Y, He F, Ding X, Bai Z. Assessment on personal exposure to particulate compounds using an empirical exposure model in an elderly community in Tianjin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 572:1080-1091. [PMID: 27528481 DOI: 10.1016/j.scitotenv.2016.08.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 07/30/2016] [Accepted: 08/03/2016] [Indexed: 06/06/2023]
Abstract
Using central site measurement data to predict personal exposure to particulate matter (PM) is challenging, because people spend most of their time indoors and ambient contribution to personal exposure is subject to infiltration conditions affected by many factors. Efforts in assessing and predicting exposure on the basis of associated indoor/outdoor and central site monitoring were limited in China. This study collected daily personal exposure, residential indoor/outdoor and community central site PM filter samples in an elderly community during the non-heating and heating periods in 2009 in Tianjin, China. Based on the chemical analysis results of particulate species, mass concentrations of the particulate compounds were estimated and used to reconstruct the PM mass for mass balance analysis. The infiltration factors (Finf) of particulate compounds were estimated using both robust regression and mixed effect regression methods, and further estimated the exposure factor (Fpex) according to participants' time-activity patterns. Then an empirical exposure model was developed to predict personal exposure to PM and particulate compounds as the sum of ambient and non-ambient contributions. Results showed that PM mass observed during the heating period could be well represented through chemical mass reconstruction, because unidentified mass was minimal. Excluding the high observations (>300μg/m3), this empirical exposure model performed well for PM and elemental carbon (EC) that had few indoor sources. These results support the use of Fpex as an indicator for ambient contribution predictions, and the use of empirical non-ambient contribution to assess exposure to particulate compounds.
Collapse
Affiliation(s)
- Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Yan You
- Research Center for Eco-Environmental Science, Chinese Academy of Science, Beijing, China
| | - Jian Zhou
- Energy Research Institute, Nanyang Technological University, Singapore
| | - Jiefeng Zhang
- Division of Environmental and Water Resources, School of Civil and Environmental Engineering, Nanyang Technological University, Singapore
| | - Can Niu
- Research Center for Eco-Environmental Science, Chinese Academy of Science, Beijing, China
| | - Yating Liu
- College of Environmental Science and Engineering, Nankai University, Tianjin, China
| | - Fei He
- Hubei Provincial Meteorological Service Center, Wuhan, Hubei, China
| | - Xiao Ding
- Department of Building, School of Design and Environment, National University of Singapore, Singapore
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.
| |
Collapse
|
8
|
Habre R, Moshier E, Castro W, Nath A, Grunin A, Rohr A, Godbold J, Schachter N, Kattan M, Coull B, Koutrakis P. The effects of PM2.5 and its components from indoor and outdoor sources on cough and wheeze symptoms in asthmatic children. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2014; 24:380-387. [PMID: 24714073 DOI: 10.1038/jes.2014.21] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2014] [Revised: 02/15/2014] [Accepted: 02/18/2014] [Indexed: 06/03/2023]
Abstract
Particulate matter with aerodynamic diameter <2.5 μm (PM2.5) is associated with asthma exacerbation. In the Children's Air Pollution Asthma Study, we investigated the longitudinal association of PM2.5 and its components from indoor and outdoor sources with cough and wheeze symptoms in 36 asthmatic children. The sulfur tracer method was used to estimate infiltration factors. Mixed proportional odds models for an ordinal response were used to relate daily cough and wheeze scores to PM2.5 exposures. The odds ratio associated with being above a given symptom score for a SD increase in PM2.5 from indoor sources (PMIS) was 1.24 (95% confidence interval: 0.92-1.68) for cough and 1.63 (1.11-2.39) for wheeze. Ozone was associated with wheeze (1.82, 1.19-2.80), and cough was associated with indoor PM2.5 components from outdoor sources (denoted with subscript "OS") bromine (BrOS: 1.32, 1.05-1.67), chlorine (ClOS: 1.27, 1.02-1.59) and pyrolyzed organic carbon (OPOS: 1.49, 1.12-1.99). The highest effects were seen in the winter for cough with sulfur (SOS: 2.28, 1.01-5.16) and wheeze with organic carbon fraction 2 (OC2OS: 7.46, 1.19-46.60). Our results indicate that exposure to components originating from outdoor sources of photochemistry, diesel and fuel oil combustion is associated with symptom's exacerbation, especially in the winter. PM2.5 mass of indoor origin was more strongly associated with wheeze than with cough.
Collapse
Affiliation(s)
- Rima Habre
- 1] Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA [2] Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Erin Moshier
- Department of Community Medicine, Mount Sinai School of Medicine, New York, New York, USA
| | - William Castro
- Department of Medicine, Mount Sinai School of Medicine, New York, New York, USA
| | - Amit Nath
- Department of Medicine, Mount Sinai School of Medicine, New York, New York, USA
| | - Avi Grunin
- Department of Pediatrics, Mount Sinai School of Medicine, New York, New York, USA
| | - Annette Rohr
- Electric Power Research Institute, Palo Alto, California, USA
| | - James Godbold
- Department of Community Medicine, Mount Sinai School of Medicine, New York, New York, USA
| | - Neil Schachter
- 1] Department of Community Medicine, Mount Sinai School of Medicine, New York, New York, USA [2] Department of Medicine, Mount Sinai School of Medicine, New York, New York, USA
| | - Meyer Kattan
- College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Brent Coull
- 1] Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
9
|
Brown KW, Minegishi T, Allen JG, McCarthy JF, Spengler JD, MacIntosh DL. Reducing patients' exposures to asthma and allergy triggers in their homes: an evaluation of effectiveness of grades of forced air ventilation filters. J Asthma 2014; 51:585-94. [PMID: 24555523 PMCID: PMC4133967 DOI: 10.3109/02770903.2014.895011] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Objective Many interventions to reduce allergen levels in the home are recommended to asthma and allergy patients. One that is readily available and can be highly effective is the use of high performing filters in forced air ventilation systems. Methods We conducted a modeling analysis of the effectiveness of filter-based interventions in the home to reduce airborne asthma and allergy triggers. This work used “each pass removal efficiency” applied to health-relevant size fractions of particles to assess filter performance. We assessed effectiveness for key allergy and asthma triggers based on applicable particle sizes for cat allergen, indoor and outdoor sources of particles <2.5 µm in diameter (PM2.5), and airborne influenza and rhinovirus. Results Our analysis finds that higher performing filters can have significant impacts on indoor particle pollutant levels. Filters with removal efficiencies of >70% for cat dander particles, fine particulate matter (PM2.5) and respiratory virus can lower concentrations of those asthma triggers and allergens in indoor air of the home by >50%. Very high removal efficiency filters, such as those rated a 16 on the nationally recognized Minimum Efficiency Removal Value (MERV) rating system, tend to be only marginally more effective than MERV12 or 13 rated filters. Conclusions The results of this analysis indicate that use of a MERV12 or higher performing air filter in home ventilation systems can effectively reduce indoor levels of these common asthma and allergy triggers. These reductions in airborne allergens in turn may help reduce allergy and asthma symptoms, especially if employed in conjunction with other environmental management measures recommended for allergy and asthma patients.
Collapse
|
10
|
Choi H, Spengler J. Source attribution of personal exposure to airborne polycyclic aromatic hydrocarbon mixture using concurrent personal, indoor, and outdoor measurements. ENVIRONMENT INTERNATIONAL 2014; 63:173-81. [PMID: 24316321 PMCID: PMC3908783 DOI: 10.1016/j.envint.2013.11.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Revised: 11/01/2013] [Accepted: 11/05/2013] [Indexed: 05/06/2023]
Abstract
OBJECTIVES Relative importance of multiple indoor and outdoor venues on personal exposure concentrations to pro-carcinogenic polycyclic aromatic hydrocarbons (c-PAHs) remains poorly understood. This is particularly challenging because many c-PAHs share sources and occur as a complex mixture. Accurate and precise apportionment of personal exposure according to exposure venues could aid in the understanding of human health effects due to a given source. Here, we partitioned indoor and personal exposure concentrations to seven c-PAHs and pyrene according to the indoor- and outdoor-origins. METHODS A simultaneous, integrated monitoring of personal, indoor and outdoor concentrations of nine PAHs was conducted in 75 homes for a consecutive 48-hour period across a two-year period in Kraków, Poland. Due to few known indoor sources for chrysene, we used this PAH species as a tracer for infiltration of outdoor PAHs. Personal and indoor concentrations of seven c-PAHs and pyrene were apportioned to home indoor, non-home indoor and outdoor origins. RESULTS Using Chrysenein/Chryseneout as proxy for an infiltration factor, Finf, infiltrated PAHs of outdoor origin are overall higher in concentration than those emitted from the indoor origin. Average contribution by the outdoor sources on B[a]A, B[b]F, and B[k]F were 92%, 79%, and 78% across all seasons, respectively. In contrast, in homes where a household member smoked, average contributions by the outdoor sources on B[ghi]P, B[a]P, D[ah]A, and IP were lower (i.e., 67%, 65%, 67%, and 66%, respectively). Season-averaged contributions by the outdoor sources on personal exposure to B[a]A, B[b]F, and B[k]F were 92%, 74%, and 77%, respectively. On the other hand, season-averaged home indoor source contributions on personal exposure to B[a]A, B[b]F, and B[k]F were estimated at 6%, 15%, and 19%, respectively. Similar contributions by season-averaged home indoor sources on personal exposure were estimated at 28% for B[ghi]P, 31% for B[a]P, 25% for D[ah]A, and 28% for IP. CONCLUSION Of the seven c-PAHs, B[a]A, B[b]F, and B[k]F are enriched in indoor and personal exposure concentrations from the outdoor coal-combustion. B[ghi]P, B[a]P, D[a,h]A, and IP, PAHs with some of the highest carcinogenic and mutagenic potencies, are considerably enriched by cigarette smoke in addition to the outdoor sources.
Collapse
Affiliation(s)
- Hyunok Choi
- Department of Environmental Health Sciences, SUNY at Albany, School of Public Health, One University Place, Room 153, Rensselaer, NY 12144, United States.
| | - John Spengler
- Harvard School of Public Health, 401 Park Drive, Landmark Center 4th Floor West, Room 406A, Boston, MA 02215, United States.
| |
Collapse
|
11
|
Sarnat SE, Sarnat JA, Mulholland J, Isakov V, Özkaynak H, Chang HH, Klein M, Tolbert PE. Application of alternative spatiotemporal metrics of ambient air pollution exposure in a time-series epidemiological study in Atlanta. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2013; 23:593-605. [PMID: 23963512 DOI: 10.1038/jes.2013.41] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2012] [Accepted: 05/20/2013] [Indexed: 05/19/2023]
Abstract
Exposure error in studies of ambient air pollution and health that use city-wide measures of exposure may be substantial for pollutants that exhibit spatiotemporal variability. Alternative spatiotemporal metrics of exposure for traffic-related and regional pollutants were applied in a time-series study of ambient air pollution and cardiorespiratory emergency department visits in Atlanta, GA, USA. Exposure metrics included daily central site monitoring for particles and gases; daily spatially refined ambient concentrations obtained from regional background monitors, local-scale dispersion, and hybrid air quality models; and spatially refined ambient exposures from population exposure models. Health risk estimates from Poisson models using the different exposure metrics were compared. We observed stronger associations, particularly for traffic-related pollutants, when using spatially refined ambient concentrations compared with a conventional central site exposure assignment approach. For some relationships, estimates of spatially refined ambient population exposures showed slightly stronger associations than corresponding spatially refined ambient concentrations. Using spatially refined pollutant metrics, we identified socioeconomic disparities in concentration-response functions that were not observed when using central site data. In some cases, spatially refined pollutant metrics identified associations with health that were not observed using measurements from the central site. Complexity and challenges in incorporating modeled pollutant estimates in time-series studies are discussed.
Collapse
Affiliation(s)
- Stefanie Ebelt Sarnat
- Department of Environmental Health, Rollins School of Public Health-Emory University, Atlanta, Georgia, USA
| | | | | | | | | | | | | | | |
Collapse
|
12
|
Diapouli E, Chaloulakou A, Koutrakis P. Estimating the concentration of indoor particles of outdoor origin: a review. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2013; 63:1113-29. [PMID: 24282964 DOI: 10.1080/10962247.2013.791649] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Recent toxicological results highlight the importance of separating exposure to indoor- and outdoor-generated particles, due to their different physicochemical and toxicological properties. In this framework, a number of studies have attempted to estimate the relative contribution of particles of indoor and outdoor origins to indoor concentrations, using either statistical analysis of indoor and outdoor concentration time-series or mass balance equations. The aim of this work is to review and compare the methodologies developed in order to determine the ambient particle infiltration factor (F(INF)) (i.e., the fraction of ambient particles that enter indoors and remains suspended). The different approaches are grouped into four categories according to their methodological principles: (1) steady-state assumption using the steady-state form of the mass balance equation; (2) dynamic solution of the mass balance equation using complex statistical techniques; (3) experimental studies using conditions that simplify model calculations (e.g., decreasing the number of unknowns); and (4) infiltration surrogates using a particulate matter (PM) constituent with no indoor sources to act as surrogate of indoor PM of outdoor origin. Examination of the various methodologies and results reveals that estimating infiltration parameters is still challenging. The main difficulty lies in the separate calculation of penetration efficiency (P) and deposition rate (k). The values for these two parameters that are reported in the literature vary significantly. Deposition rate presents the widest range of values, both between studies and size fractions. Penetration efficiency seems to be more accurately calculated through the application of dynamic models. Overall, estimates of the infiltration factor generated using dynamic models and infiltration surrogates show good agreement. This is a strong argument in favor of the latter methodology, which is simple and easy to apply when chemical speciation data are available.
Collapse
Affiliation(s)
- E Diapouli
- Institute of Nuclear and Radiological Science & Technology, National Centre for Scientific Research "Demokritos," Athens, Greece.
| | | | | |
Collapse
|
13
|
Rhomberg LR, Chandalia JK, Long CM, Goodman JE. Measurement error in environmental epidemiology and the shape of exposure-response curves. Crit Rev Toxicol 2011; 41:651-71. [PMID: 21823979 DOI: 10.3109/10408444.2011.563420] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Both classical and Berkson exposure measurement errors as encountered in environmental epidemiology data can result in biases in fitted exposure-response relationships that are large enough to affect the interpretation and use of the apparent exposure-response shapes in risk assessment applications. A variety of sources of potential measurement error exist in the process of estimating individual exposures to environmental contaminants, and the authors review the evaluation in the literature of the magnitudes and patterns of exposure measurement errors that prevail in actual practice. It is well known among statisticians that random errors in the values of independent variables (such as exposure in exposure-response curves) may tend to bias regression results. For increasing curves, this effect tends to flatten and apparently linearize what is in truth a steeper and perhaps more curvilinear or even threshold-bearing relationship. The degree of bias is tied to the magnitude of the measurement error in the independent variables. It has been shown that the degree of bias known to apply to actual studies is sufficient to produce a false linear result, and that although nonparametric smoothing and other error-mitigating techniques may assist in identifying a threshold, they do not guarantee detection of a threshold. The consequences of this could be great, as it could lead to a misallocation of resources towards regulations that do not offer any benefit to public health.
Collapse
|
14
|
Johannesson S, Rappaport SM, Sallsten G. Variability of environmental exposure to fine particles, black smoke, and trace elements among a Swedish population. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2011; 21:506-514. [PMID: 21448239 DOI: 10.1038/jes.2011.13] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2010] [Accepted: 12/07/2010] [Indexed: 05/30/2023]
Abstract
Mixed-effects models were used to estimate within-person and between-person variance components, and some determinants of environmental exposure to particulate matter (PM(2.5)), black smoke (BS) and trace elements (Cl, K, Ca, Ti, Fe, Ni, Cu, Zn, and Pb) for personal measurements from 30 adult subjects in Gothenburg, Sweden. The within-person variance component dominated the total variability for all investigated compounds except for PM(2.5) and Zn (in which the variance components were about equal). Expressed as fold ranges containing 95% of the underlying distributions, the within-person variance component ranged between 5-fold and 39-fold (median: sixfold), whereas the between-person variance component was always <sixfold (median: threefold). The relatively large within-person variance components can lead to attenuation bias in exposure-response relationships and point to the importance of obtaining repeated samples of PM exposure from study subjects in epidemiological investigations of urban air pollution. On the basis of the variance components estimated for the various particulate species, between 3 and 39 repeated measurements per subject would be required to limit attenuation bias to 20%. Significant determinants for personal exposure levels were urban background air concentrations (PM(2.5), BS, Cl, Zn, and Pb), cigarette smoking (PM(2.5), BS, K, and Ti), season (PM(2.5), Fe, and Pb), and the time spent outdoors or in traffic (Fe).
Collapse
Affiliation(s)
- Sandra Johannesson
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital and Academy at University of Gothenburg, Box 414, S-405 30 Gothenburg, Sweden.
| | | | | |
Collapse
|
15
|
Madrigano J, Baccarelli A, Mittleman MA, Wright RO, Sparrow D, Vokonas PS, Tarantini L, Schwartz J. Prolonged exposure to particulate pollution, genes associated with glutathione pathways, and DNA methylation in a cohort of older men. ENVIRONMENTAL HEALTH PERSPECTIVES 2011; 119:977-82. [PMID: 21385671 PMCID: PMC3222977 DOI: 10.1289/ehp.1002773] [Citation(s) in RCA: 174] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2010] [Accepted: 03/08/2011] [Indexed: 05/21/2023]
Abstract
BACKGROUND DNA methylation is a potential pathway linking environmental exposures to disease. Exposure to particulate air pollution has been associated with increased cardiovascular morbidity and mortality, and lower blood DNA methylation has been found in processes related to cardiovascular morbidity. OBJECTIVE We hypothesized that prolonged exposure to particulate pollution would be associated with hypomethylation of repetitive DNA elements and that this association would be modified by genes involved in glutathione metabolism and other host characteristics. METHODS DNA methylation of the long interspersed nucleotide element-1 (LINE-1) and the short interspersed nucleotide element Alu were measured by quantitative polymerase chain reaction pyrosequencing in 1,406 blood samples from 706 elderly participants in the Normative Aging Study. We estimated changes in repetitive element DNA methylation associated with ambient particles (particulate matter ≤ 2.5 µm in aerodynamic diameter), black carbon (BC), and sulfates (SO₄), with mixed models. We examined multiple exposure windows (1-6 months) before DNA methylation measurement. We investigated whether this association was modified by genotype and phenotype. RESULTS An interquartile range (IQR) increase in BC over a 90-day period was associated with a decrease of 0.31% 5-methylcytosine (5mC) (95% confidence interval, 0.12-0.50%) in Alu. An IQR increase in SO₄ over a 90-day period was associated with a decrease of 0.27% 5mC (0.02-0.52%) in LINE-1. The glutathione S-transferase mu-1-null genotype strengthened the association between BC and Alu hypomethylation. CONCLUSION Prolonged exposure to BC and SO₄ particles was associated with hypomethylation of two types of repetitive elements.
Collapse
Affiliation(s)
- Jaime Madrigano
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02215, USA.
| | | | | | | | | | | | | | | |
Collapse
|
16
|
Kamal AS, Rohr AC, Mukherjee B, Morishita M, Keeler GJ, Harkema JR, Wagner JG. PM2.5-induced changes in cardiac function of hypertensive rats depend on wind direction and specific sources in Steubenville, Ohio. Inhal Toxicol 2011; 23:417-30. [DOI: 10.3109/08958378.2011.580387] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
|