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A comparison of proximity and land use regression traffic exposure models and wheezing in infants.

A comparison of proximity and land use regression traffic exposure models and wheezing in infants. Research Abstract Details 

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  • A comparison of proximity and land use regression traffic exposure models and wheezing in infants. Abstract Text:

    patrick h ryanPatrick H Ryan,grace k lemastersGrace K Lemasters,pratim biswasPratim Biswas,linda levinLinda Levin,shaohua huShaohua Hu,mark lindseyMark Lindsey,david i bernsteinDavid I Bernstein,james lockeyJames Lockey,manuel villarealManuel Villareal,gurjit k khurana hersheyGurjit K Khurana Hershey,sergey a grinshpunSergey A Grinshpun,

    BACKGROUND: We previously reported an association between infant wheezing and residence < 100 m from stop-and-go bus and truck traffic. The use of a proximity model, however, may lead to exposure misclassification. OBJECTIVE: Results obtained from a land use regression (LUR) model of exposure to truck and bus traffic are compared with those obtained with a proximity model. The estimates derived from the LUR model were then related to infant wheezing. METHODS: We derived a marker of diesel combustion--elemental carbon attributable to traffic sources (ECAT)--from ambient monitoring results of particulate matter with aerodynamic diameter < 2.5 microm. We developed a multiple regression model with ECAT as the outcome variable. Variables included in the model were locations of major roads, bus routes, truck traffic count, and elevation. Model parameter estimates were applied to estimate individual ECAT levels at infants' homes. RESULTS: The levels of estimated ECAT at the monitoring stations ranged from 0.20 to 1.02 microg/m(3). A LUR model of exposure with a coefficient of determination (R(2)) of 0.75 was applied to infants' homes. The mean (+/- SD) ambient exposure of ECAT for infants previously categorized as unexposed, exposed to stop-and-go traffic, or exposed to moving traffic was 0.32 +/- 0.06, 0.42 +/- 0.14, and 0.49 +/- 0.14 microg/m(3), respectively. Levels of ECAT from 0.30 to 0.90 mug/m(3) were significantly associated with infant wheezing. CONCLUSIONS: The LUR model resulted in a range of ECAT individually derived for all infants' homes that may reduce the exposure misclassification that can arise from a proximity model.

    A comparison of proximity and land use regression traffic exposure models and wheezing in infants. Publishing Authors By Initials

    ph ryanPH Ryan,gk lemastersGK Lemasters,p biswasP Biswas,l levinL Levin,s huS Hu,m lindseyM Lindsey,di bernsteinDI Bernstein,j lockeyJ Lockey,m villarealM Villareal,gk khurana hersheyGK Khurana Hershey,sa grinshpunSA Grinshpun,

    For similar complex mixtures: vehicle emissions research abstracts see: complex mixtures: vehicle emissions research

    PUBMED ID PMID:

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    A comparison of proximity and land use regression traffic exposure models and wheezing in infants. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Environmental health perspectives

    VOLUME: 115

    Page Numbers: 278-84

    Journal Abbreviation: Environ. Health Perspect.

    ISSN: 0091-6765

    DAY: 30

    MONTH: 10

    YEAR: 2006

    A comparison of proximity and land use regression traffic exposure models and wheezing in infants. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 330411

    A comparison of proximity and land use regression traffic exposure models and wheezing in infants. Keywords Mesh Terms:

    KEYWORDS: Vehicle Emissions

    MESH TERMS: analysis

    Chemical & Substance for Abstract: A comparison of proximity and land use regression traffic exposure models and wheezing in infants. Information

    Substance Name: Carbon

    Registry Number: 7440-44-0

    Grant and Affiliation Information for A comparison of proximity and land use regression traffic exposure models and wheezing in infants.

    AFFILIATION: Department of Environmental Health, University of Cincinnati Medical Center, Cincinnati, Ohio 45267, USA. patrick.ryan@uc.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIEHS

    GRANT: ES11170

    ACRONYM: ES

    MEDLINETA: Environ Health Perspect

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