Is it traffic type, volume, or distance? Wheezing in infants living near truck and bus traffic

Ryan, Patrick; LeMasters, Grace K.; Myers, Jocelyn M. Biagini; Bernstein, David I.; Grinshpun, Sergey A.; Shukla, Rakesh; Wilson, Kimberly; Villareal, Manuel; Burkle, Jeff; Lockey, James E.

doi:10.1016/j.jaci.2005.05.014

Cited by 173 publications

(155 citation statements)

References 44 publications

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“…These findings suggest that early-life exposures to traffic pollutants may affect asthma severity and development. This view is supported by studies [12][13][14][15][16][17][18] of preschool children that have found increased risk of incident asthma or wheeze or cough without a cold from long-term exposures to local trafficrelated air pollutants using GIS-based methods. A recent study 35 showed acute increases in wheeze occurrence with elevations in daily regional NO 2 and NO x levels in infants and children followed up during their first 3 years of life.…”

Section: Overview Of Findings and Implicationsmentioning

confidence: 88%

“…9 High home or school traffic density has been associated with prevalence of diagnosed asthma in epidemiologic studies. 10,11 Cohort studies [12][13][14][15][16][17][18] have shown associations between asthma incidence or early wheeze or cough without a cold and traffic-related air pollution near the homes of preschool children using geographic information system (GIS)-based exposure models.…”

Section: Introductionmentioning

confidence: 99%

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Repeated hospital encounters for asthma in children and exposure to traffic-related air pollution near the home

Delfino

Chang

et al. 2009

Annals of Allergy, Asthma & Immunology

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Background: Aggregate hospital encounters for asthma (admissions or emergency department visits) have been associated with daily regional air pollution. There are fewer data on relationships between repeated hospital encounters and traffic-related air pollution near the home.Objective: To estimate the association of local traffic-generated air pollution with repeated hospital encounters for asthma in children.Methods: Hospital records for 2,768 children aged 0 to 18 years (697 of whom had Ն2 encounters) were obtained for a catchment area of 2 hospitals in northern Orange County, California. Residential addresses were geocoded. A line source dispersion model was used to estimate individual seasonal exposures to local traffic-generated pollutants (nitrogen oxides and carbon monoxide) longitudinally beginning with the first hospital encounter. Recurrent proportional hazards analysis was used to estimate risk of exposure to air pollution adjusting for sex, age, health insurance, census-derived poverty, race/ethnicity, residence distance to hospital, and season. The adjustment variables and census-derived median household income were tested for effect modification.Results: Adjusted hazard ratios for interquartile range increases in nitrogen oxides (4.00 ppb) and carbon monoxide (0.056 ppm) were 1.10 (95% confidence interval, 1.03-1.16) and 1.07 (1.01-1.14), respectively. Associations were strongest for girls and infants but were not significantly different from other groups. Stronger associations in children from higher-income block groups (P Ͻ .09 for trend) may have been due to more accurate data.Conclusions: Associations for repeated hospital encounters suggest that locally generated air pollution near the home affects asthma severity in children. Risk may begin during infancy and continue in later childhood, when asthma diagnoses are clearer.

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Section: Overview Of Findings and Implicationsmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Repeated hospital encounters for asthma in children and exposure to traffic-related air pollution near the home

Delfino

Chang

et al. 2009

Annals of Allergy, Asthma & Immunology

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“…Seventeen homes were selected as part of the Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS) (Ryan et al, 2005). The homes were inspected for visible mold/water damage and classified groups: 1) no mold or water damage, 2) minor mold or water damage, and 3) major mold damage (Cho et al, 2006).…”

Section: Selection Of Homesmentioning

confidence: 99%

Comparison of mold concentrations quantified by MSQPCR in indoor and outdoor air sampled simultaneously

Meklin¹,

Reponen²,

McKinstry³

et al. 2007

Science of The Total Environment

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Mold specific quantitative PCR (MSQPCR) was used to measure the concentrations of the 36 mold species in indoor and outdoor air samples that were taken simultaneously for 48 h in and around 17 homes in Cincinnati, Ohio. The total spore concentrations of 353 per m 3 of indoor air and 827 per m 3 of outdoor air samples were significantly different (p≤0.05). However, only the concentrations of Aspergillus penicillioides, Cladosporium cladosporioides types 1 and 2 and Cladosporium herbarum were correlated in indoor and outdoor air samples (p-value≤0.05 and sufficient data for estimate and absolute value rho estimate ≥0.5). These results suggest that interpretation of the meaning of short-term (<48 h) mold measurements in indoor and outdoor air samples must be made with caution.

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“…Numerous studies have identified associations between traffic-related air pollution and adverse heath effects either by characterizing exposures to specific pollutants using measurements from a few central ambient sites (Dockery et al 1993;Pope et al 1995;Studnicka et al 1997;Laden et al 2000), or by some measure of traffic (Oosterlee et al 1996;Garshick et al 2003;Heinrich et al 2005;Ryan et al 2005). Yet, by ignoring the contribution of indoor sources and the effect of residential ventilation, it is difficult to accurately estimate personal exposures, especially in an intraurban epidemiological study.…”

Section: Introductionmentioning

confidence: 99%

Predicting residential indoor concentrations of nitrogen dioxide, fine particulate matter, and elemental carbon using questionnaire and geographic information system based data

Baxter

Clougherty

Paciorek³

et al. 2007

Atmospheric Environment

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Previous studies have identified associations between traffic-related air pollution and adverse health effects. Most have used measurements from a few central ambient monitors and/or some measure of traffic as indicators of exposure, disregarding spatial variability and/or factors influencing personal exposure-ambient concentration relationships. This study seeks to utilize publicly available data (i.e., central site monitors, geographic information system (GIS), and property assessment data) and questionnaire responses to predict residential indoor concentrations of traffic-related air pollutants for lower socioeconomic status (SES) urban households.As part of a prospective birth cohort study in urban Boston, we collected indoor and outdoor 3-4 day samples of nitrogen dioxide (NO 2 ) and fine particulate matter (PM 2.5 ) in 43 low SES residences across multiple seasons from 2003 -2005. Elemental carbon concentrations were determined via reflectance analysis. Multiple traffic indicators were derived using Massachusetts Highway Department data and traffic counts collected outside sampling homes. Home characteristics and occupant behaviors were collected via a standardized questionnaire. Additional housing information was collected through property tax records, and ambient concentrations were collected from a centrally-located ambient monitor.The contributions of ambient concentrations, local traffic and indoor sources to indoor concentrations were quantified with regression analyses. PM 2.5 was influenced less by local traffic but had significant indoor sources, while EC was associated with traffic and NO 2 with both traffic and indoor sources. Comparing models based on covariate selection using p-values or a Bayesian approach yielded similar results, with traffic density within a 50m buffer of a home and distance from a truck route as important contributors to indoor levels of NO 2 and EC, respectively. The Bayesian approach also highlighted the uncertanity in the models. We conclude that by utilizing public databases and

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Is it traffic type, volume, or distance? Wheezing in infants living near truck and bus traffic

Cited by 173 publications

References 44 publications

Repeated hospital encounters for asthma in children and exposure to traffic-related air pollution near the home

Repeated hospital encounters for asthma in children and exposure to traffic-related air pollution near the home

Comparison of mold concentrations quantified by MSQPCR in indoor and outdoor air sampled simultaneously

Predicting residential indoor concentrations of nitrogen dioxide, fine particulate matter, and elemental carbon using questionnaire and geographic information system based data

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