0789 Sleepwalking and Sleeptalking in Children: Associations with Emotional/Behavioral Problems and Sleep Quality
Bibliographic record
Abstract
Sleepwalking (SW) is a parasomnia involving unusual and complex behaviors initiated during sleep, such as walking, sitting or eating. It has been proposed that sleeptalking (ST) shares similar underlying mechanism with SW. A few studies found associations between these parasomnias and: separation anxiety, hyperactivity-inattention symptoms, as well as environmental factor such as parental divorce. However, the association between ST-SW and psychological symptoms assessed with validated measures in childhood remains to clarify. The aim of this project is to compare emotional/behavioral problems, as well as sleep patterns, in children with and without SW/ST. This project is part of the study, Maternal Adversity Vulnerability and Neurodevelopment (MAVAN)(n=277). Presence of SW,ST, sleep duration, number and duration of night awakenings were assessed with the Children Sleep Habits Questionnaire, and Emotional/behavioral problems were assessed with the Child Behavior Checklist (CBCL) at 4 and 5 years old. Independent sample T-tests were used to assess differences between children with and without SW/ST. At 4 years old, 2.7% of children presented SW and 27.4% ST. At 5 years old, 4.4% of children were sleepwalking and 20.5% sleeptalking. Five-year-old children with SW or ST (or both), had more depressive problems (2.68 ± 2.41 vs 1.67 ± 1.81, p=.001), anxiety problems (9.984 ± 3.36 vs 2.16±=2.18, p<.001), pervasive developmental problems (3.84 ± 2.67 vs 2.68 ± 2.41, p=.001), and oppositional/defiant problems (3.33 ± 2.49 vs 2.60 ± 2.53, p=.04) than children without SW/ST. Similar results were observed at 4 years old. Although children with SW or ST (or both) had more night awakenings (4.45 ± 1.53 vs 3.92 ± 1.36, p=.01) than children without SW/ST, no differences were found in sleep duration and duration of awakenings (p>.05). Children who experienced SW and∕or ST also had more depressive, anxious, pervasive developmental and oppositional/defiant problems than children without SW/ST. While they also showed more nocturnal awakenings, other sleep characteristics were not affected. A better understanding of the mechanisms linking parasomnias and psychological problems could eventually represent a new therapeutic avenue to the treatment of both psychological and sleep problems. Canadian Institute of Health Research, Ludmer Centre for Neuroinformatics and Mental Health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".