Chronic respiratory symptoms in children and adults living along streets with high traffic density.

Oosterlee, A; Drijver, M; Lebret, Erik; Brunekreef, Bert

doi:10.1136/oem.53.4.241

Cited by 228 publications

(172 citation statements)

References 16 publications

Supporting

Mentioning

146

Contrasting

Unclassified

Order By: Relevance

“…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

View full text Add to dashboard Cite

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

show abstract

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

View full text Add to dashboard Cite

show abstract

“…Some studies have found an association between traffic volume and the number of hospital admissions for asthma (English et al, 1999), vehicle or truck traffic and self-reported symptoms of asthma (Weiland et al, 1994;Duhme et al, 1996), but others have found no association between asthma and traffic volume (Wilkinson et al, 1999). Truck and road traffic were related to chronic respiratory symptoms and reduced lung function in studies of adolescents (Wjst et al, 1993;Oosterlee et al, 1996;Van Vliet et al, 1997;Brunekreef et al, 1997;Ciccone et al, 1998). Most of these studies used traffic counts as a surrogate for exposure to vehicle emissions.…”

Section: Introductionmentioning

confidence: 99%

Traffic density in California: Socioeconomic and ethnic differences among potentially exposed children

Gunier

Hertz

Behren

et al. 2003

J Expo Sci Environ Epidemiol

190

135

View full text Add to dashboard Cite

Motor vehicles are the main source of many hazardous air pollutants in California. Previous studies have shown that low-income and minority populations are more likely to live near industrial sources of pollution and in areas that do not meet national air quality standards. We estimated neighborhood exposures to motor vehicle emissions from a road network with daily traffic counts using a geographic information system. To calculate traffic density, we summed the average daily vehicle miles of travel per square mile of land area for each census block group in the state. We used 1990 census data to characterize the population by age, race and socioeconomic status in block groups with high traffic density. Block groups with more than 500,000 vehicle miles of travel per square mile were defined to be high traffic density. Statewide, about 5% of all block groups met this criterion and more than 215,000 children under 15 years of age lived in these high traffic density areas. Block groups in the lowest quartile of median family income were three times more likely to have high traffic density than block groups in the highest income quartile. The percentage of children living in high traffic density block groups increased with decreasing median family income for all race and ethnicities except White. Overall, children of color were about three times more likely to live in high-traffic areas than were white children. Based on this analysis, low-income and children of color have higher potential exposure to vehicle emissions. Future exposure assessment studies should target the highest traffic density areas, and health studies should consider the differences by income and race or ethnicity during design.

show abstract

“…Other epidemiological studies found an association between automobile [9,10] or truck traffic frequency [11± 13] and wheeze. Higher exposure to truck traffic and black smoke was also associated with impaired forced expiratory volume in one second (FEV1) [14].…”

mentioning

confidence: 97%

“…Not all reports attempted to discriminate between the different phenotypes of these conditions. Reports that provide detailed information suggest an effect on the prevalence of cough and bronchitis, but not on asthma and atopy [2,7,8].Other epidemiological studies found an association between automobile [9,10] or truck traffic frequency [11± 13] and wheeze. Higher exposure to truck traffic and black smoke was also associated with impaired forced expiratory volume in one second (FEV1) [14].…”

mentioning

confidence: 99%

Inner city air pollution and respiratory health and atopy in children

Hirsch¹,

Weiland²,

Mutius³

et al. 1999

Eur Respir J

192

139

View full text Add to dashboard Cite

The impact of inner city air pollution on the development of respiratory and atopic diseases in childhood is still unclear.In a cross sectional study in Dresden, Germany, 5,421 children in two age groups (5±7 yrs and 9±11 yrs) were studied according to the International Study of Asthma and Allergies in Childhood (ISAAC) phase II protocol. The prevalences of wheezing and cough as well as doctor diagnosed asthma and bronchitis were assessed by parental questionnaires. Children also underwent skin-prick testing, venipuncture for the measurement of serum immunoglobulin (Ig)E, lung function testing and a bronchial challenge test (4.5% saline) to assess airway hyperresponsiveness. Exposure was assessed on an individual basis by relating mean annual air pollution levels (SO 2 , NO 2 , CO, benzene, and O 3 ) which had been measured on a 1 km 2 grid, to the home and school address of each study subject.After adjusting for potential confounding factors an increase in the exposure to benzene of 1 mg . m 3 air was associated with an increased prevalence of morning cough (adjusted odds ratio (aOR)): 1.15; 1.04±1.27) and bronchitis (aOR: 1.11; 1.03±1.19). Similar associations were observed for NO 2 and CO. In turn, the prevalences of atopic sensitization, symptoms of atopic diseases and bronchial hyperresponsiveness were not positively associated with exposure to any of these pollutants.It is concluded that in this study a moderate increase in exposure to traffic-related air pollution was associated with an increased prevalence of cough and bronchitis, but not with atopic conditions in children. Eur Respir J 1999; 14: 669±677. [3,4,6] and the occurrence of respiratory tract illnesses. Not all reports attempted to discriminate between the different phenotypes of these conditions. Reports that provide detailed information suggest an effect on the prevalence of cough and bronchitis, but not on asthma and atopy [2,7,8].Other epidemiological studies found an association between automobile [9,10] or truck traffic frequency [11± 13] and wheeze. Higher exposure to truck traffic and black smoke was also associated with impaired forced expiratory volume in one second (FEV1) [14]. Some studies also reported an association between truck traffic frequency [12,13] or black smoke exposure [11] and symptoms of allergic rhinitis. A large Italian study on 39,275 children [15] found a significant association between truck traffic exposure and wheeze, but the associations with other respiratory symptoms (cough and phlegm) were more pronounced. No positive associations were seen between traffic exposure and doctor-diagnosed asthma [9, 11], atopy [11] or bronchial hyperrespon-siveness (BHR) [9]. In contrast to these findings data from in vitro studies and laboratory experiments suggest that particles from diesel exhaust, one of the major contributors to particulate matter pollution in urban areas, specifically promote allergic reactions and BHR [16].Limitations of study design and exposure assessment have hampered the interpretation ...

show abstract

Chronic respiratory symptoms in children and adults living along streets with high traffic density.

Cited by 228 publications

References 16 publications

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

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

Traffic density in California: Socioeconomic and ethnic differences among potentially exposed children

Inner city air pollution and respiratory health and atopy in children

Contact Info

Product

Resources

About