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Record W2023109729 · doi:10.1097/jom.0b013e3181c99505

Impaired Health Status, Daily Functioning, and Work Productivity in Adults With Excessive Sleepiness

2010· article· en· W2023109729 on OpenAlexaffabout
Bonnie B. Dean, Daniel Aguilar, Colin M. Shapiro, William C. Orr, Joshua A. Isserman, Brian Calimlim, Gregory A. Rippon

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2010
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsAlertnessNarcolepsyObstructive sleep apneaAbsenteeismDepression (economics)MedicineEpworth Sleepiness ScalePresenteeismPhysical therapyExcessive daytime sleepinessCognitionPsychologySleep disorderPsychiatryNeurologyPolysomnographyApneaInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study evaluated the effects of excessive sleepiness (ES) on health status, daily functioning, and work productivity. METHODS: From a survey performed in June to July 2006, people with or without ES in two groups (1758 with obstructive sleep apnea, depression, narcolepsy, multiple sclerosis, or shift work; 1977 without these conditions) were assessed on the Work Productivity and the Activity Impairment Scale, Short Form-12, Medical Outcomes study 6-item Cognitive Function Scale, and the Toronto Hospital Alertness Test. RESULTS: ES in both groups was associated with highly significant impairments in health status, daily activities, and work productivity for all measures (P < 0.0001), except for absenteeism (P = 0.0400 for group A, P = 0.8360 for group B). CONCLUSIONS: ES may have an incremental negative impact measurable above that of obstructive sleep apnea, multiple sclerosis, narcolepsy, depression, or shift work.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.387

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 science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.267
Teacher spread0.257 · 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

Citations79
Published2010
Admission routes2
Has abstractyes

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