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Record W2609441143 · doi:10.1093/sleepj/zsx050.711

0712 SUBJECTIVE SLEEPINESS IN SHIFT WORK DISORDER

2017· article· en· W2609441143 on OpenAlexaff
Annie Vallières, Chantal Mérette, Sd Garnier, Célyne Bastien

Bibliographic record

VenueSLEEP · 2017
Typearticle
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEpworth Sleepiness ScaleSSS*SomnolenceShift workPsychologyWork scheduleMedicineAudiologyPhysical therapyPsychiatryPolysomnographyInternal medicineWork (physics)ElectroencephalographyAdverse effect

Abstract

fetched live from OpenAlex

Excessive sleepiness is a main symptom of shift work disorder (SWD). However, shift worker’s perception and clinical evaluation sometimes offer different views of excessive sleepiness. Time course of sleepiness over a 24-hour period according to different work schedules remains understudied. The present study aims at identifying sleepiness specific to shift workers with SWD working under two different work schedules. 80 night-shift workers of whom 43 met SWD criteria were recruited. They worked 6 to 10 nights out of 14. Night shifts were either consecutive (CNS) or fragmented (FNS), for which nights were intervened with free days. Participants without SWD and satisfied with sleep were identified as good sleepers (GS). Four groups were created: CNS-SWD; CNS-GS; FNS-SWD; and FNS-GS. Sleepiness was assessed with three methods: 1) during a clinical interview with a dichotomous question (yes/no); 2) Stanford sleepiness scale (SSS) on 7 points in time (Pre and post day sleep and night sleep as well as before, during, and after night work); 3) Epworth sleepiness scale. SWD sufferers presented a significant higher total score on the SSS than GS (p= .01). Point-in-time on the SSS revealed specificity for each work schedule: CNS-SWD reported significantly greater sleepiness when they woke up after day sleep (p = .03) while FNS-SWD, compared to FNS-GS, did so during night work (p = .03). There was no significant difference between workers with SWD and GS on the Epworth or the proportion of “yes”. Excessive sleepiness is higher for shift workers with SWD. However, the moment sleepiness is excessive varies according to the work schedule. Indeed, high sleepiness after day sleep appears specific to CNS-SWD. When the work schedule is fragmented, the sleepiness seems more problematic during night work. Results highlight that neither a dichotomous question nor scores on the Epworth sleepiness scale allow the proper identification of excessive sleepiness for shift workers. A thorough evaluation of sleepiness in shift workers is warranted while paying attention to work schedule and the presence or not of SWD. The study was supported by a CIHR funding 191771 awarded to the first author.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.019
GPT teacher head0.310
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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