The aim of this study was to determine the effect of six traffic-related air pollution metrics (nitrogen dioxide, nitrogen oxides, particulate matter with an aerodynamic diameter
Land-use regression models were developed for each study area and used to estimate outdoor air pollution exposure at the home address of each child. Information on asthma and current wheeze prevalence at the ages of 4-5 and 8-10 years was collected using validated questionnaires. Multiple logistic regression was used to analyse the association between pollutant exposure and asthma within each cohort. Random-effects meta-analyses were used to combine effect estimates from individual cohorts.
The meta-analyses showed no significant association between asthma prevalence and air pollution exposure (e.g. adjusted OR (95%CI) for asthma at age 8-10 years and exposure at the birth address (n=10377): 1.10 (0.81-1.49) per 10 mu g.m(-3) nitrogen dioxide; 0.88 (0.63-1.24) per 10 mu g.m(-3) PM10; 1.23 (0.78-1.95) per 5 mu g.m(-3) PM2.5). This result was consistently found in initial crude models, adjusted models and further sensitivity analyses.
This study found no significant association between air pollution exposure and childhood asthma prevalence in five European birth cohorts.
- USE REGRESSION-MODELS
- CHILDRENS RESPIRATORY SYMPTOMS
- LONG-TERM EXPOSURE
- BIRTH COHORT
- PARTICULATE MATTER
- PM2.5 ABSORBENCY