Development and Validation of SDBeasy Score as a Predictor of Behavioral Outcomes in Childhood

Charmaine van Eeden1, Sukhpreet K Tamana1, Indra Narang2

  • 1Department of Pediatrics and.

Insights

A new SDBeasy score helps identify children with sleep-disordered breathing (SDB) symptoms, predicting higher behavioral problems by age five. This tool aids early intervention for at-risk youth.

Area of Science:

  • Pediatric sleep medicine
  • Child psychology
  • Developmental pediatrics

Background:

  • Limited tools exist to identify children at high risk for behavioral issues linked to sleep-disordered breathing (SDB).
  • Early identification of SDB-associated behavioral morbidity is crucial for timely intervention.
  • Parent-reported symptoms are a key source of information in pediatric health assessments.

Purpose of the Study:

  • To assess the association between the onset and duration of parent-reported SDB symptoms and behavioral problems at age five.
  • To develop and validate a tool for predicting behavioral risks in children with SDB.
  • To investigate the predictive value of the SDBeasy score for behavioral outcomes.

Main Methods:

  • Utilized data from the Canadian Healthy Infant Longitudinal Development (CHILD) cohort.
  • Developed the SDBeasy score based on parent-reported SDB symptom onset and duration via the Pediatric Sleep Questionnaire.
  • Employed multivariate linear regression and validated the score using Child Behavior Checklist (CBCL) data.

Main Results:

  • A significant positive association was found between the SDBeasy score and total behavioral scores on the CBCL at age five.
  • Each 1-point increase in the SDBeasy score correlated with a 0.35-point increase in CBCL total behavioral score in Edmonton (p < 0.01).
  • Validation in the Toronto cohort confirmed this association, with a 0.26-point increase per SDBeasy point (p = 0.005).

Conclusions:

  • The SDBeasy score effectively identifies children with a higher likelihood of behavioral problems.
  • This score, derived from the Pediatric Sleep Questionnaire, offers a practical tool for risk stratification.
  • Findings support the use of the SDBeasy score in clinical settings for early identification of at-risk children.