Predictors of asthma in young children: does reporting source affect our conclusions?

Area of Science:

• Pediatric Health
• Epidemiology
• Biostatistics

Background:

• Sociodemographic and early health factors influence childhood asthma risk.
• Discrepancies exist in identifying these risk factors due to varying data sources (parental reports vs. medical records).

Purpose of the Study:

• To compare childhood asthma predictors using maternal reports versus medical records within the same cohort.
• To assess the impact of data source on the estimated prevalence and distribution of asthma risk factors.

Main Methods:

• Utilized data from the 1988 National Maternal and Infant Health Survey and 1991 Longitudinal Follow-up.
• Compared asthma prediction models using maternal self-reports and official medical records for a nationally representative sample of US children.
• Assessed concordance between data sources using kappa statistic.

Main Results:

• Moderate agreement (kappa = 0.48) between maternal reports and medical records for asthma diagnosis.
• Significant discrepancies found in asthma prevalence and associated risk factors based on data source.
• Black race, male gender, and preterm birth identified as consistent asthma risk factors across both data sources.
• Poverty, large family size, urban residence, maternal smoking, and breastfeeding were associated with asthma only in maternal reports, not medical records.

Conclusions:

• The choice of data source (maternal reports vs. medical records) critically influences the identification of childhood asthma risk factors.
• Lower healthcare utilization in certain populations may contribute to data discrepancies.
• Future research must carefully consider data source implications for accurate childhood asthma prediction and prevention strategies.