Literature DB >> 14762971

Asthmatic disease among urban preschoolers: an observational study.

Gisela J Fritz1, Olf Herbarth.   

Abstract

Asthma is of increasing concern especially in industrialized countries. This cross-sectional study was to assess the influence of spatial and temporal variations in the urban air pollution profile on asthmatic disease. The prevalences presented are based on physician-diagnosed asthmatic and allergic disease data, collected between 1993 and 1995. Seven hundred and thirty-six preschool children (age 2 to 7, mean 5.7 years) of 37 daycare centres in the City of Leipzig participated in the study. Variations were observed in the lifetime prevalences of asthma and allergy with differences in a residential area's ambient pollution profile. Depending on the level of traffic (high or low), children residing in areas with a dominant coal-heating emission profile had more frequently a diagnosis of asthma, 17.5% and 8.8% (95% confidence intervals [CI]: 10.8...23.5 and 5.8...11.6, respectively), as compared to those, living in centrally heated areas 13.4% and 5.8% (CI: 6.6...19.3 and 1.2...9.6, respectively). Allergic disorders occurred more often in areas with a predominantly traffic-associated pollution profile, 14.3% and 9.6% vs. 5.8% and 3.7% (CI: 7.4...20.3 and 6.4...12.5; 1.2...9.6 and 0.2...6.5, respectively). Interestingly, asthmatic disease was not necessarily associated with a clinical history of allergies. Of the children with physician-diagnosed asthma, 83.7% were not reported to have a concurrent diagnosis of allergies nor to show clinical symptoms. This suggests that environmental exposures (i.e., complex pollution mixtures associated with residential coal-heating and/or traffic) may have differentially influenced the phenotypic expression of asthma. A qualitative discussion is presented on the occurrence of "asthma without reported allergies" in Leipzig.

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Year:  2004        PMID: 14762971     DOI: 10.1078/1438-4639-00264

Source DB:  PubMed          Journal:  Int J Hyg Environ Health        ISSN: 1438-4639            Impact factor:   5.840


  1 in total

1.  An empirical approach to sufficient similarity: combining exposure data and mixtures toxicology data.

Authors:  Scott Marshall; Chris Gennings; Linda K Teuschler; Leanna G Stork; Rogelio Tornero-Velez; Kevin M Crofton; Glenn E Rice
Journal:  Risk Anal       Date:  2013-02-11       Impact factor: 4.000

  1 in total

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