An investigation of the association between traffic exposure and the diagnosis of asthma in children

J Expo Sci Environ Epidemiol. 2006 Jan;16(1):49-55. doi: 10.1038/sj.jea.7500436.

Abstract

This study investigated whether proximity to traffic at residence location is associated with being diagnosed with asthma as a young child. A survey of parents of children (aged 5-7) in kindergarten and first-grade in 13 schools was completed in Anchorage, Alaska, and Geographical Information System (GIS) mapping was used to obtain an exposure measure based on traffic density within 100 m of the cross streets closest to the child's residence. Using the range of observed exposure values, a score of low, medium or high traffic exposure was assigned to each child. After controlling for individual level confounders, relative to the low referent group, relative risks (95% confidence intervals) of 1.40 (0.77, 2.55) and 2.83 (1.23,6.51) were obtained in the medium and high exposure groups, respectively. For the null hypothesis of no difference in risk, a significance level of 0.056 was obtained, which suggests that further investigation would be worthwhile. Children without a family history of asthma were more likely to have an asthma diagnosis if they resided in a high traffic area than children who had one or more parents with asthma. The relative risk for children without a family history of asthma is 2.43 (1.12, 5.28) for medium exposure and 5.43 (2.08, 13.74) for high exposure. For children with a family history of asthma, the relative risk is 0.66 (0.25, 1.74) for medium exposure and 0.67 (0.12, 3.69) for high exposure. The P-value for the overall "exposure-effect" (i.e. both main effects AND interaction terms) is 0.0097.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Alaska / epidemiology
  • Asthma / diagnosis
  • Asthma / epidemiology*
  • Asthma / etiology*
  • Child
  • Child, Preschool
  • Environmental Exposure*
  • Female
  • Geographic Information Systems
  • Health Surveys
  • Humans
  • Male
  • Prevalence
  • Risk Factors
  • Vehicle Emissions / analysis
  • Vehicle Emissions / toxicity*

Substances

  • Vehicle Emissions