Asthma phenotypes, risk factors, and measures of severity in a national sample of US children
Related Experiment Video
Updated: Aug 19, 2026

Murine Model of Allergen Induced Asthma
Published on: May 14, 2012
Colleen F Kelley1, David M Mannino, David M Homa
1Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Insights
Asthma risk factors and severity differ across childhood asthma phenotypes. Identifying these distinct groups is key to understanding varied health outcomes in children.
Area of Science:
- Pediatric pulmonology
- Epidemiology
- Allergy and immunology
Background:
- Asthma is a common chronic respiratory disease in children.
- Understanding distinct asthma phenotypes is crucial for targeted management.
- Previous research has not fully elucidated phenotype-specific risk factors and severity in a national sample.
Purpose of the Study:
- To investigate differences in risk factors and severity measures among distinct asthma phenotypes in US children.
- To analyze a nationally representative sample of children aged 6 to 16 years.
Main Methods:
- Utilized data from the Third National Health and Nutrition Examination Survey (NHANES).
- Categorized children into mutually exclusive groups: atopic asthma, nonatopic asthma, resolved asthma, frequent respiratory symptoms (no asthma diagnosis), and normal controls.
- Employed multivariate regression to identify phenotype-specific demographic and risk factors, and to compare measures of asthma severity.
Main Results:
- Identified prevalence rates: 4.8% atopic asthma, 1.9% nonatopic asthma, 3.4% resolved asthma, 4.3% frequent respiratory symptoms.
- Found varying risk factors: higher BMI in nonatopic asthma, prenatal maternal smoking linked to resolved asthma, childcare attendance associated with frequent respiratory symptoms.
- Atopic and nonatopic asthma showed similar severity (medication use, health status, lung function).
- Resolved asthma had fewer symptoms but similar lung function impairment to current asthma.
- Children with frequent respiratory symptoms (no asthma) had normal lung function.
Conclusions:
- Asthma risk factors and severity measures are demonstrably different across distinct childhood asthma phenotypes.
- These findings highlight the importance of phenotyping for personalized pediatric asthma care.
Objective:
To examine a nationally representative sample of US children aged 6 to 16 years old and determine whether there are differences in risk factors and measures of severity between children with different asthma phenotypes.
Methods:
We analyzed data from the Third National Health and Nutrition Examination Survey. We used questionnaire and skin-prick testing data to separate children into the following mutually exclusive categories: atopic asthma, nonatopic asthma, resolved asthma, frequent respiratory symptoms with no asthma diagnosis, and normal. We used multivariate regression to determine whether demographic or potential risk factors varied between phenotypes and whether measures of severity varied by phenotype.
Results:
We found that 4.8% of children had atopic asthma, 1.9% had nonatopic asthma, 3.4% had resolved asthma, and 4.3% had frequent respiratory symptoms. Risk factors varied by phenotype, for example, the mean BMI was higher among children with nonatopic asthma, prenatal maternal smoking was a risk factor for resolved asthma, and child care attendance was a risk factor for frequent respiratory symptoms with no asthma diagnosis. Patients with atopic and nonatopic asthma were similar for most measures of asthma severity (medication use, health status, and lung function impairment). In contrast, patients with resolved asthma had fewer symptoms but a similar level of lung function impairment to that seen in patients with current asthma, whereas children with frequent respiratory symptoms but no asthma diagnosis had normal lung function.
Conclusions:
Asthma risk factors and measures of severity vary between children with different asthma phenotypes.
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