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Air pollution and diseases of the respiratory tracts in pre-school children: A transfer function model
U Helfenstein1, U Ackermann-Liebrich, C Braun-Fahrländer
1Biostatistisches Zentrum, medizinische Fakultät, Universität Zürich, Plattenstrasse 54, CH-8032, Zurich, Switzerland.
Insights
This study analyzed air pollution and weather data against respiratory illness in preschool children. Sulfur dioxide (SO2) showed an immediate link to respiratory symptoms during winter, but not other seasons.
Area of Science:
- Environmental Health
- Pediatric Respiratory Medicine
- Biostatistics
Background:
- Respiratory diseases are a significant health concern in preschool children.
- Environmental factors, including air pollutants and climate, are suspected contributors to respiratory illnesses.
- Understanding these relationships is crucial for public health interventions.
Purpose of the Study:
- To assess the statistical relationship between time series of environmental factors and respiratory disease frequencies in preschool children.
- To analyze the connection between daily air pollutant and climatic variable measurements and respiratory health outcomes.
- To investigate the temporal dynamics of these associations.
Main Methods:
- Collected daily measurements of air pollutants (e.g., SO2, NO2) and climatic variables over one year.
- Gathered medical data on preschool children's respiratory diseases (ENTRIES) and symptoms (SYMPTOMS).
- Employed transfer function models and time series analysis, including prewhitening techniques, to analyze relationships.
Main Results:
- Transfer function models revealed associations between environmental factors and respiratory outcomes.
- The cross-correlation function between sulfur dioxide (SO2) and respiratory symptoms (SYMPTOMS) varied seasonally.
- An instantaneous relationship between SO2 and SYMPTOMS was observed during winter, with a similar, though weaker, link for NO2.
Conclusions:
- Environmental factors, particularly air pollutants like SO2, are linked to respiratory symptoms in preschool children.
- The identified relationship between SO2 and respiratory symptoms is time-dependent, being significant only during the winter period.
- These findings highlight the seasonal impact of air quality on pediatric respiratory health.
Abstract:
The purpose of the present statistical analysis was the assessment of the relation between time series of environmental factors and of frequencies of diseases of the respiratory system in pre-school children. During about one year, daily measurements of air pollutants and climatic variables were taken. During the same period of time two series of medical data were collected: (i) The daily relative number of pre-school children, exhibiting diseases of the respiratory tracts who either came to the outpatients' clinic of the children's hospital or were reported by paediatricians in Basle (ENTRIES). (ii) The daily relative frequency of symptoms of the respiratory tracts observed in a group of randomly selected pre-school children (SYMPTOMS).By means of transfer function models the relation between the two target variables and the 'explaining' variables was analysed. Several practical problems did arise: Choice of the appropriate transformation of the different series, interpretation of the crosscorrelation function using different methods of 'prewhitening', time splitting and nonstationarity of the crosscorrelation structure. In particular, it was found that after prewhitening the crosscorrelation function between the explanatory series SO2 and the response series SYMPTOMS changes with time. While during the 'winter period' an instantaneous relation between these two series (and to a lesser extent between NO2 and SYMPTOMS) was identified, no such relation was found for the other seasons.
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