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Record W2162961752 · doi:10.1177/070674370304800507

A Case—Control Study on Psychological Symptoms in Sleep Apnea-Hypopnea Syndrome

2003· article· en· W2162961752 on OpenAlexvenueno aff
Weihua Yue, Wei Hao, Pozi Liu, Tieqiao Liu, Ming Ni, Qi Guo

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2003
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsNon-rapid eye movement sleepEpworth Sleepiness ScaleHypopneaSleep apneaPsychologyExcessive daytime sleepinessMedicineSleep StagesAnxietyPolysomnographyApneaAnesthesiaSleep disorderPhysical therapyPsychiatryInsomniaElectroencephalography

Abstract

fetched live from OpenAlex

OBJECTIVES: To investigate the psychological status of patients with sleep apnea-hypopnea syndrome (SAHS) and to evaluate the association of SAHS with psychological symptoms, using the Symptom Checklist-90 (SCL-90) scale. METHODS: The study comprised 30 SAHS patients (25 men, 5 women) and 30 matched, healthy control subjects. They all completed the SCL-90 and the Epworth Sleep Scale (ESS) and underwent a whole-night polysomnographic (PSG) examination. We used t-tests for group comparisons of nocturnal PSG characteristics, daytime sleepiness, and psychological symptoms. We employed Spearman's rank correlation analysis to indicate the effects of several nocturnal PSG variables (for example, total sleep time, percentage of wake at sleep, Apnea and Hypopnea Index [AHI], and oxygen desaturation) or subjective daytime sleepiness on psychological symptoms in SAHS. RESULTS: SAHS patients suffered from fragmented sleep and decreased arterial oxygen saturations, compared with healthy control subjects. The General Severity Index (GSI) of SCL-90 was significantly higher in SAHS patients than in healthy control subjects, as were measures of somatization, obsession-compulsion, depression, anxiety, and hostility (P < 0.05). The severity of psychological symptoms in SAHS patients was negatively related to total sleep time and percentage of stage 2 nonrapid eye movement (NREM) sleep; it was positively related to percentage of wake time after sleep onset, percentage of stage 1 NREM sleep, and ESS scores. CONCLUSION: In our study population, SAHS patients had decreased psychological well-being, which could be explained by fragmented sleep or excessive daytime sleepiness.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.104
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.305
Teacher spread0.281 · 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.

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".

Quick stats

Citations73
Published2003
Admission routes1
Has abstractyes

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