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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.
Abstract:
Rationale: There are limited tools to identify which children are at greatest risk for developing sleep-disordered breathing (SDB)-associated behavioral morbidity.Objectives: To examine associations between age of onset and duration of parent-reported symptoms of SDB and behavioral problems at the age of 5 years.Methods: Data were collected and analyses were completed for participants in the CHILD (Canadian Healthy Infant Longitudinal Development) cohort at the Edmonton and Toronto sites. We generated an SDBeasy score on the basis of the age of onset and duration of SDB symptoms as reported by parents completing the Pediatric Sleep Questionnaire. Using CHILD-Edmonton data, we completed multivariate linear regression to determine whether the SDBeasy score was associated with behavioral problems at the age 5 years of age as assessed by using the Child Behavior Checklist (CBCL). We then validated the SDBeasy score using CHILD-Toronto data.Measurements and Main Results: At the 5-year visit, 581 of 716 (81%) CHILD-Edmonton participants still enrolled had CBCL data. Of the 581 children with data, 77% (446 of 581) had an SDBeasy score of 0 (never had SDB symptoms), whereas 20 of 581 children (3.4%) had persistent SDB symptoms from infancy through 5 years of age (SDBeasy score of 24). Children had a 0.35-point-higher CBCL total behavioral score at 5 years for each 1-point increase in their SDBeasy score (95% confidence interval, 0.24-0. 5; P < 0.01). We found consistent results among CHILD-Toronto participants; children had a 0.26-point-higher CBCL total behavioral score at 5 years for each 1-point increase in their SDBeasy score (95% confidence interval, 0.08-0.44; P = 0.005).Conclusions: The SDBeasy score, based on the Pediatric Sleep Questionnaire, enables identification of children with higher behavioral-problem scores.
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