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Published on: December 10, 2013
The clustering of respiratory diseases in early childhood
B G Kolnaar1, W J van den Bosch, H J van den Hoogen
1Department of General Practice/Family Medicine, University of Nijmegen, The Netherlands.
Insights
Early childhood respiratory illnesses are unevenly distributed and cluster together. Asthma, bronchitis, and pneumonia form one group, while tonsillitis, ear infections, and colds form another.
Area of Science:
- Pediatric respiratory health
- Epidemiology of childhood diseases
Background:
- Early childhood respiratory morbidity may predict later-life asthma and chronic bronchitis.
- Understanding the distribution and clustering of early respiratory diseases is crucial.
Purpose of the Study:
- To analyze the distribution, interrelations, and clustering of respiratory morbidity in early childhood.
- To identify patterns in respiratory illness occurrence.
Main Methods:
- Prospective data collection on respiratory illness episodes in 1140 children (first five years).
- Comparison of illness frequency to random Poisson distribution.
- Factor analysis to identify illness clusters.
Main Results:
- 53% of children experienced at least six respiratory illness episodes.
- Respiratory illnesses were not randomly distributed and showed associations.
- Factor analysis revealed two main clusters: (1) asthma, acute bronchitis, pneumonia; (2) tonsillitis, otitis media, common cold.
Conclusions:
- Early childhood respiratory morbidity is unevenly distributed.
- Distinct clusters of upper and lower respiratory tract illnesses were identified.
- These identified clusters may be useful for research on long-term respiratory prognosis.
Background:
It has been suggested that early childhood respiratory morbidity is related to asthma and chronic bronchitis in later life. To understand these relations, it is necessary to know how early childhood respiratory diseases are distributed, interrelated, and clustered. This study analyzed the distribution, interrelations, and the clustering of early childhood respiratory morbidity.
Methods:
We prospectively collected data of episodes of respiratory illness among 1140 children in the first five years of life, in family practice. To determine if the occurrence of respiratory illness was randomly distributed, we compared the frequency of respiratory illness to random Poisson distribution. We used factor analysis to determine if respiratory illnesses occurred in clusters or patterns according to type of illness.
Results:
Five percent of subjects never presented a respiratory disease, and 53% presented at least six episodes. The episodes of each illness were not randomly distributed, and most conditions were associated with each other. Factor analysis showed that asthma, acute bronchitis, and pneumonia formed one cluster, and tonsillitis, otitis media, and common cold another cluster.
Conclusions:
Early childhood respiratory morbidity is unevenly distributed, but a clear-cut group of children with a much higher rate of more severe respiratory morbidity than other children could not be distinguished. Both upper and lower respiratory tract illnesses show clustering. In research on the long-term prognosis of early childhood respiratory morbidity, this morbidity may best be grouped into the categories identified in this research.
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