Prediction of function from infancy to early childhood: implications for pediatric psychology

Area of Science:

• Developmental Pediatrics
• Neurodevelopmental Screening
• Infant Assessment

Background:

• The Bayley Infant Neurodevelopmental Screener (BINS) is a tool used to assess infant development.
• Understanding the stability and predictive validity of BINS subdomains is crucial for early identification of developmental trajectories.

Purpose of the Study:

• To evaluate the stability of item groupings derived from the BINS across different infant ages.
• To determine if these BINS-derived factors predict cognitive and motor outcomes at 36 months of age.

Main Methods:

• The BINS was administered to infants at 6, 12, and 24 months.
• Factor analysis was performed on BINS data to identify underlying functional domains.
• These factors, along with biomedical and environmental variables, were correlated with 36-month cognitive and motor assessments (Bayley-II or McCarthy scales).

Main Results:

• Three stable factors were consistently identified at each assessment age, explaining 52% to 64% of the variance.
• Continuity of these functional factors was observed throughout infancy.
• Higher factor scores (>= 75th percentile) were associated with a significantly increased likelihood of normal cognitive or motor development at 36 months (Odds Ratios 2.14-7.94).

Conclusions:

• Specific subdomains of function measured by the BINS demonstrate stability and continuity during infancy.
• The identified BINS factors possess predictive utility for later neurodevelopmental outcomes.