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Published on: November 4, 2010
Patterns of response to childhood asthma
1Rhode Island Hospital, Providence 02903.
Parental ratings of childhood asthma symptoms showed modest agreement with children's reports. Parents' symptom scores correlated with functional morbidity, but children's did not.
Area of Science:
- Pediatric Pulmonology
- Child Psychology
- Asthma Research
Background:
- Asthma symptom assessment in children relies on subjective reports, often involving both the child and their parents.
- Understanding the concordance between these perspectives is crucial for accurate diagnosis and treatment monitoring.
- Previous research has explored symptom patterns, but direct comparison of parent-child ratings and their link to objective morbidity is less explored.
Purpose of the Study:
- To evaluate the agreement between parental and child self-ratings of asthma symptoms.
- To determine the relationship between these symptom ratings and objective measures of asthma morbidity.
- To identify distinct symptom patterns in pediatric asthma.
Main Methods:
- A modified Asthma Symptom Checklist (CASCL) was administered independently to 162 children with asthma and their 105 parents.
- Factor analysis was used to identify symptom patterns from the CASCL data.
- Functional morbidity was assessed using medication levels, emergency room visits, and hospitalizations.
Main Results:
- Factor analysis identified three symptom clusters: General Physical Symptoms, Panic/Fear, and Hyperventilation/Irritability.
- Correlations between parent and child item ratings ranged from 0.00 to 0.35, indicating low to modest agreement.
- Parental factor scores showed significant correlations with functional morbidity indices, while children's factor scores did not.
Conclusions:
- Parental reports of asthma symptoms offer a more reliable indicator of functional morbidity in children than child self-reports.
- Discrepancies in symptom perception highlight the importance of considering both perspectives in clinical practice.
- Further research is needed to understand the reasons behind the differing correlations with morbidity.
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