Is Objective Short Sleep a Proxy for Frequent Insomnia?
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".