Multilevel Factors and Indicators of Atypical Neurodevelopment During Early Infancy in Japan: Prospective,...

Area of Science:

• Neurodevelopmental research
• Child psychology
• Maternal health

Background:

• Early identification of neurodevelopmental conditions relies on understanding individual differences.
• Longitudinal studies on child and maternal factors influencing early development are limited.

Purpose of the Study:

• Identify perinatal and infant factors linked to early developmental characteristics.
• Develop a method for evaluating individual differences in neurodevelopmental trajectories.
• Detect early signs preceding formal diagnoses of neurodevelopmental conditions.

Main Methods:

• Prospective longitudinal observational study of 147 mother-child pairs from gestation to 12 months postpartum.
• Utilized prenatal questionnaires, blood collection, cord blood, and postpartum assessments.
• Employed the Modified Checklist for Autism in Toddlers (M-CHAT) for developmental evaluation.
• Applied correlation coefficients, L2-regularized logistic regression, and Shapley Additive Explanations for analysis.

Main Results:

• Twenty-one factors (prenatal, birth, postnatal) significantly associated with M-CHAT scores (adjusted P < .05).
• Achieved reasonable predictive accuracy for M-CHAT scores (AUC = 0.79).
• Key predictors included infant sleep patterns (duration, bedtime, difficulties), maternal psychological distress, and mother-infant bonding scores.

Conclusions:

• Maternal psychological distress, mother-infant bonding, and infant sleep patterns are significant predictors of early developmental characteristics.
• This study provides a novel approach to identifying and evaluating early indicators of atypical neurodevelopment.
• Advances understanding of early developmental assessment for emerging concerns.