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Geographic Modeling of Traffic and Asthma Rates

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00041834
Enrollment
Unknown
Registered
2002-07-22
Start date
2000-09-30
Completion date
2003-08-31
Last updated
2005-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Asthma

Keywords

childhood asthma, traffic

Brief summary

This study surveys the parents/guardians about symptoms and diagnosis of asthma in kindergarten and first-grade students in 13 schools around the city of Anchorage, Alaska. Traffic information is also measured and entered in geographical information mapping system with student's home and school locations. The study will assess whether students living in high traffic areas have greater risk of diagnosis of asthma.

Detailed description

Survey was distributed through the schools. Parents/guardians were asked about indoor exposures such as environmental tobacco smoke, insects, mold, woodstoves, as well as demographic information about the child and housing type, income,also biologic information about parental asthma. Questions included symptoms of respiratory illness as well as wheezing and medication use. Civil engineering department measured traffic on local roadways and gathered traffic information from state and municipal sources regarding traffic on arterioles and major traffic arteries. All information was entered into geographical information system (GIS) including the closest cross-streets to the child's home and the school location. Traffic exposure variables are being developed for each child and will be added to the database on indoor exposures. A regression model will be used to determine the significance of traffic exposure in receiving a diagnosis of asthma for children five to seven years of age.

Interventions

None listed

Sponsors

National Institute of Environmental Health Sciences (NIEHS)
Lead SponsorNIH

Study design

Observational model
DEFINED_POPULATION
Time perspective
OTHER

Eligibility

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026