What question did this study set out to answer?

This research aims to explore the individual associations between specific sleep problems and various behavioural and emotional symptoms in children.

March 10, 2026JCPP AdvancesOpen Access

Sleep disturbance as a transdiagnostic marker of children's mental health difficulties: A network analysis of item‐level associations between different types of sleep problems and different behavioural and emotional symptoms

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Network analysis maps associations between sleep problems and emotional-behavioral symptoms in children, suggesting targeted interventions.

This research aims to explore the individual associations between specific sleep problems and various behavioural and emotional symptoms in children.
Analyzed data from the Development of Emotional Resilience cohort with 876 children aged 8-12 years.
Utilized network analysis to assess relationships between self-reported sleep issues and reported behavioural and emotional symptoms.
Identified symptom clusters and node centrality to determine central features of the network.
Seven distinct symptom clusters reflecting different behavioural and mixed sleep-emotional symptoms were identified.
Anxiety and sleep anxiety emerged as the most central nodes in the network analysis.
Key bridge nodes included appetite issues, trouble sleeping, daytime sleepiness, and anticipatory worry about bedtime.

Marinca et al. (2026) studied this question.

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March 10, 2026JCPP AdvancesOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Network analysis maps associations between sleep problems and emotional-behavioral symptoms in children, suggesting targeted interventions.

This research aims to explore the individual associations between specific sleep problems and various behavioural and emotional symptoms in children.
Analyzed data from the Development of Emotional Resilience cohort with 876 children aged 8-12 years.
Utilized network analysis to assess relationships between self-reported sleep issues and reported behavioural and emotional symptoms.
Identified symptom clusters and node centrality to determine central features of the network.
Seven distinct symptom clusters reflecting different behavioural and mixed sleep-emotional symptoms were identified.
Anxiety and sleep anxiety emerged as the most central nodes in the network analysis.
Key bridge nodes included appetite issues, trouble sleeping, daytime sleepiness, and anticipatory worry about bedtime.

Marinca et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark