Probabilistic Monte Carlo estimation for quantitative exposure assessment of lotion transfer via baby wipes usage

Area of Science:

• Environmental Health
• Toxicology
• Pediatric Health

Background:

• Childhood exposure to consumer products requires specific data.
• Assessing exposure in infants and toddlers presents unique challenges.
• Accurate exposure data is crucial for pediatric risk assessment.

Purpose of the Study:

• To develop a probabilistic exposure model for lotion transfer from baby wipes to diapered skin in children up to 48 months.
• To quantify exposure levels considering normal use patterns and age-related factors.
• To provide a robust tool for exposure-based risk assessment in pediatric populations.

Main Methods:

• Utilized Monte Carlo simulations incorporating baby wipe diary data (US, Germany, UK), body weight data (US), and experimental lotion transfer data.
• Adjusted for single and multiple wipes, considering separate diaper changes and overlapping use.
• Modeled lotion deposition reduction with sequential wipes on overlapping areas.

Main Results:

• Predicted declining daily wipe usage and lotion transfer with increasing age and body weight.
• Experimental data showed a 23.9% reduction in lotion deposition after the first wipe on an overlapping area.
• Population-averaged exposure estimates (0-36 months) ranged from 130-310 mg/kg/day across percentiles and overlap scenarios.

Conclusions:

• The developed statistical model effectively estimates baby wipe lotion exposure in young children.
• Findings support exposure-based risk assessments for products used on infants and toddlers.
• The model accounts for key variables like age, body weight, and usage patterns for accurate exposure quantification.