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Record W4281610609 · doi:10.1093/sleep/zsac079.252

0254 Association of Slow Wave Activity and Odds Ratio Product with Internalizing and Externalizing Problems in Children and Adolescents

2022· article· en· W4281610609 on OpenAlexaff
Julio Fernández‐Mendoza, Anna Ricci, Fan He, Susan L. Calhoun, Jidong Fang, Magdy Younes, Alexandros N. Vgontzas, Duanping Liao, Edward O. Bixler

Bibliographic record

VenueSLEEP · 2022
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of Manitoba
FundersNational Institutes of Health
KeywordsNon-rapid eye movement sleepChild Behavior ChecklistPsychologyPolysomnographyAudiologyDevelopmental psychologyElectroencephalographyPsychiatryMedicine

Abstract

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Abstract Introduction The association of metrics of sleep microstructure with internalizing and externalizing problems in youth has remained elusive. While one study found increased frontal slow wave activity (SWA) in depressed adolescents, there is lack of evidence for a relationship between dimensional measures of behavior and metrics of sleep depth/intensity. We examined the association between two measures of sleep depth/intensity, slow wave activity (SWA) and odds ratio product (ORP), with internalizing and externalizing problems in children and adolescents. Methods We calculated SWA and ORP during non-rapid eye movement (NREM) sleep at central, frontal and fronto-occipital derivations in 639 children (5-12y, median 9y) and 418 adolescents (12-23y, median 16y) from the Penn State Child Cohort via in-lab polysomnography. ORP provides a standardized measure of NREM sleep depth, while ORP-9 (average ORP in the 9-seconds following NREM arousals) provides a metric of arousability. SWA (0.4-4Hz) absolute power (µV2) was determined during NREM sleep. Internalizing and externalizing problems were assessed on Achenbach’s Behavior Checklist by parent (subjects≤17y) or self-report (subjects≥18y). For each scale, T-scores with a mean of 50 and standard deviation of 10 were obtained following standardized scoring. Multivariable-adjusted linear regression models examined the association between SWA/ORP and clinical outcomes. Results At ages 5-12, fronto-occipital SWA was negatively associated with externalizing behaviors (p=0.05), while fronto-occipital and frontal ORP, and frontal ORP-9 were positively associated with internalizing symptoms (all p<0.01). At ages 12-23, central SWA was negatively associated with internalizing symptoms (p=0.05), while central (p=0.05) and frontal (p=0.03) ORP and central ORP-9 (p=0.03) were positively associated with externalizing behaviors. Conclusion Reductions in SWA in childhood or adolescence are associated with developmentally appropriate behavioral problems, as depression/anxiety are more prevalent in adolescence. In contrast to SWA, increased ORP (lighter sleep) and ORP-9 (greater arousability) are associated with more anxiety/depression in childhood, yet more externalizing behaviors in adolescence. These distinct associations, such as SWA with externalizing behaviors and ORP with internalizing symptoms during childhood, may reflect how SWA captures local/synaptic control, while ORP global/state control, of sleep depth, making both sleep EEG biomarkers important from a developmental standpoint. Support (If Any) National Institutes of Health (R01MH118308, UL1TR000127)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.007
GPT teacher head0.230
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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