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Record W4411320620 · doi:10.1111/jsr.70122

Is Objective Short Sleep a Proxy for Frequent Insomnia?

2025· article· en· W4411320620 on OpenAlexaff
Hannah Scott, Janet M. Y. Cheung, Alexandria Muench, Hans Ivers, Charles M. Morin, Michael L. Perlis

Bibliographic record

VenueJournal of Sleep Research · 2025
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité Laval
FundersFlinders University
KeywordsInsomniaSleep onsetSleep onset latencySleep (system call)Primary InsomniaPsychologyAudiologyMedicinePsychiatrySleep disorder

Abstract

fetched live from OpenAlex

This study investigated the relationship between insomnia frequency and objective short sleep, a phenotype of insomnia. The hypothesis is that individuals with objective short sleep simply have more nights of insomnia per week. Data from a randomised controlled trial of Cognitive Behavioural Therapy for Insomnia combined with zolpidem and/or additional maintenance sessions were analysed. Insomnia frequency was derived from pre-treatment sleep diaries, using two definitions: nights with self-reported sleep latency (SL) or wake after sleep onset (WASO) > 30 min, and nights with self-reported sleep duration < 6 h. Objective short sleep was assessed via PSG sleep study, using < 6 h as the threshold. Results showed that objective short sleep was associated with more frequent insomnia when defined as nights with sleep duration < 6 h (8.1 ± 4.2 vs. 5.9 ± 3.7 nights/fortnight for short sleepers vs. normal sleepers, respectively), but not for nights with SL or WASO > 30 min. While insomnia frequency may partially explain objective short sleep, other factors likely influence this phenotype. Further studies are needed to explore the mechanisms underlying objective short sleep insomnia.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
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 head0.065
GPT teacher head0.445
Teacher spread0.380 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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