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Record W2981813641 · doi:10.29173/aar103

The Correlates of Sleep Disturbance in Symptomatic Youth

2019· article· en· W2981813641 on OpenAlexaffvenueabout
Dominique Bonneville, Jacqueline Stowkowy, Kali Brummitt, Benjamin A. Goldstein, Glenda MacQueen, Jean Addington

Bibliographic record

VenueAlberta Academic Review · 2019
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreHealth Sciences CentreHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsPsychiatryAnxietyPsychologySleep disorderClinical psychologyDistressSchizophrenia (object-oriented programming)Depression (economics)Pittsburgh Sleep Quality IndexPsychosisMental healthMental illnessInsomnia

Abstract

fetched live from OpenAlex

Background: Sleep disturbances are common across many mental health disorders, with evidence suggesting a bidirectional relationship. Furthermore, there is evidence of a significant association between sleep disruption and worse symptomology in disorders such as anxiety, depression, and psychosis. Additionally, research has demonstrated the negative impact of stress and stressful life events on psychiatric illness progression. However, little is known about possible links between sleep disturbance and these psychiatric symptoms, ongoing stress, stressful life events and functioning, especially in adolescence and early adulthood, a time when many mental illnesses first begin. Exploring these relationships may allow for a better understanding of the role sleep disruption plays in the early stages of illness. Objective: The objective of this study is to investigate potential correlates of sleep disturbance in youth experiencing subthreshold psychiatric symptoms. Methods: This study included 160 youth, ages 12 to 25 who were help seeking due to experiencing distress, mild symptoms of anxiety or depression, and/or attenuated syndromes such as clinical high risk for psychosis. Youth meeting criteria for full psychiatric diagnoses were excluded. The Pittsburgh Sleep Quality Index was used to assess sleep disruption. A range of clinical symptoms were assessed using the Scale for Assessment of Psychosis-Risk Symptoms, The Calgary Depression Scale for Schizophrenia and the Generalized Anxiety Disorder 7-Item Scale. Current stress was assessed with the Daily Stress Inventory, and the K10 Distress Scale. Past history of major stress was measured with a Childhood Trauma and Abuse Scale, and the Life Events scale. Fourthly, functioning was assessed with the Global Functioning Scale: Social and Role. Results: Global sleep quality was most highly realted to subthreshold symptoms of anxiety (r=0.425, p<0.01), depression (r=0.420, p<0.01), and disorganized symptoms of psychosis (r=0.232, p<0.05). Additionally, global sleep was related to total distress (r=0.356, p<0.01), daily stress (r=0.268, p<0.01), and stressful life events (r=0.291, p<0.01). Social functioning did not reveal any significant correlations with sleep, however, role functioning (r=0.170, p<0.05) did exhibit a relationship with global sleep quality. Finally, bullying (r=0.196, p<0.05) and trauma (r=0.266, p<0.01) were significantly correlated with global sleep quality scores. Conclusion: This study provides early evidence for the interaction that sleep disruption may have with stress, trauma, bullying, and subthreshold psychiatric symptomology in youth. Further research is required to increase the understanding of these relationships early on in youth psychiatric illness progression.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.508
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.012
GPT teacher head0.287
Teacher spread0.275 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2019
Admission routes3
Has abstractyes

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