2008
DOI: 10.1016/j.scitotenv.2008.05.051
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A land-use regression model for estimating microenvironmental diesel exposure given multiple addresses from birth through childhood

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Cited by 85 publications
(87 citation statements)
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“…We also assessed salivary cotinine; exposure to carbon attributable to traffic (ECAT), which was used as a marker of traffic-related air pollution (32,33); asthma and atopic history; and season of admission. Patient race was defined according to caregiver report: white/ Caucasian; black/African American; Asian/ Oriental; or Pacific Islander, American Indian, or Alaskan Native; or other.…”
Section: Outcome and Predictorsmentioning
confidence: 99%
See 1 more Smart Citation
“…We also assessed salivary cotinine; exposure to carbon attributable to traffic (ECAT), which was used as a marker of traffic-related air pollution (32,33); asthma and atopic history; and season of admission. Patient race was defined according to caregiver report: white/ Caucasian; black/African American; Asian/ Oriental; or Pacific Islander, American Indian, or Alaskan Native; or other.…”
Section: Outcome and Predictorsmentioning
confidence: 99%
“…Cotinine levels were collected via salivary sampling during the admission and defined as above or below the level of detection (34). ECAT was estimated with a land-use regression model using the home address at the time of admission (32,33). It was dichotomized at the sample median.…”
Section: Outcome and Predictorsmentioning
confidence: 99%
“…Each participating child's average daily exposure to traffic-related particles was calculated using a land-use regression model as described in Ryan and colleagues (38). Ambient air sampling was conducted at a total of 27 sampling sites in the greater Cincinnati area from December 2001 through December 2006.…”
Section: Traffic-related Particle Exposurementioning
confidence: 99%
“…Regression models were developed to relate this marker of traffic-related particles measured at the 27 sampling sites with land-use and traffic variables. The final land-use regression model had an R 2 equal to 0.73 and contained independent variables related to elevation, truck intensity within 300 m, length of bus routes within 300 m, and wind direction (38).…”
Section: Traffic-related Particle Exposurementioning
confidence: 99%
“…1) (Ryan et al, 2008;Sparks et al, 2013). The wind index is a rescaling of the angle between two vectors: from the nearest major traffic source to the site and predominant wind direction to a scale of zero to one.…”
Section: Wind Indexmentioning
confidence: 99%