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Record W2373040288

Relationship between health-related quality of life and mood in patients with obstructive sleep apnea

2004· article· en· W2373040288 on OpenAlexaboutno aff
Liu Chun-ta

Bibliographic record

VenueZhongguo huxi yu weizhong jianhu zazhi · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEpworth Sleepiness ScaleStepwise regressionObstructive sleep apneaQuality of life (healthcare)MoodDepression (economics)Internal medicineExcessive daytime sleepinessPhysical therapyAffect (linguistics)Linear regressionSleep disorderInsomniaApneaPolysomnographyClinical psychologyPsychiatryPsychology
DOInot available

Abstract

fetched live from OpenAlex

Objective To assess the association of health-related quality of life (HRQoL) with severity of obstructive sleep apnea syndrome (OSAS),excessive daytime sleepiness (EDS),and mood in patients with OSAS.Methods 108 patients with OSAS were assessed for HRQoL using the Calgary quality of life index (SAQLI),for EDS using the Epworth sleepiness scale (ESS),and for mood using the Zung self-rated depression scale (SDS).The association between each domain and the total score on SAQLI and the polysommographic parameters,person factors,ESS score,SDS score were examined by Person linear correlation and stepwise multiple regression analysis.Results There was no relationship between SAQLI and the severity of OSAS.Four domains and the total score on SAQLI were significantly correlated with the SDS and ESS score.Stepwise multiple regression analysis selected two variables,the SDS score and ESS score,as independent factors for predicting the total score of SAQLI which accounted for the 28.3% of the total variance in the total score on SAQLI (R 2 =0.283,P0.001).Conclusions The HRQoL of patients with OSAS was strongly correlated with the depression scale and ESS score.Mood is the most important factor to affect the HRQoL of patients with OSAS.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.071
GPT teacher head0.398
Teacher spread0.327 · 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
Published2004
Admission routes1
Has abstractyes

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