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Record W4394977699 · doi:10.1093/sleep/zsae067.0367

0367 The Independent and Interactive Effects of Insomnia Symptoms and Short Sleep on Sleep Physiology

2024· article· en· W4394977699 on OpenAlexaff
Olivia Larson, Ruda Lee, Magdy Younes, Bethany Gerardy, Allan I Pack, Brendan T Keenan, Philip Gehrman

Bibliographic record

VenueSLEEP · 2024
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInsomniaSleep (system call)PsychologyMedicineRestless legs syndromeNeurosciencePsychiatryComputer science

Abstract

fetched live from OpenAlex

Abstract Introduction The presence of subjective insomnia complaints with objective short sleep duration (total sleep time [TST] < 6 hours/night) has been associated with more severe health outcomes compared to insomnia or shortened sleep alone. The differential and possibly interacting effects of insomnia and shortened sleep on sleep physiology have not yet been comprehensively characterized. Methods 1,014 participants from the Sleep Apnea Global Interdisciplinary Consortium (SAGIC) without sleep apnea (apnea-hypopnea index < 5 events/hour) were included. Participants were categorized as having insomnia or good sleepers based on self-reported symptoms and as short (< 6 hours/night) or normal (≥6 hours/night) sleepers based on in-laboratory TST. Analysis of variance models adjusted for age and sex assessed the effects of insomnia, shortened sleep, and their interaction on traditional sleep architecture (percent of TST in each sleep stage), EEG power metrics, and novel odds ratio product (ORP; indexes sleep depth ranging from 0 [deep sleep] to 2.5 [full wakefulness]) metrics (average ORP in each sleep stage and ORP-9 [speed with which sleep deepens following arousal]). Results Neither insomnia status, sleep duration, nor their interaction had significant effects on the percent of TST spent in any sleep stage. The interaction between insomnia status and sleep duration was not significant for any ORP or EEG metrics. However, individuals with insomnia demonstrated lighter sleep (higher NREM ORP [p=0.02, η2=0.01], REM ORP [p =0.002, η2=0.02], and ORP-9 [p=0.0002, η2=0.03]), cortical hyperarousal (higher beta power in 14-20 Hz [p=0.0003, η2=0.03] and 20-35 Hz [p=0.001, η2=0.02]), and higher sigma power (12-16 Hz [p=0.04, η2=0.01]) compared to good sleepers. Short sleepers also demonstrated lighter REM sleep (higher ORP [p=0.0004, η2=0.03]) and cortical hyperarousal (higher beta power in 14-20 Hz [p< 0.0001, η2=0.04] and 20-35 Hz [p< 0.0001, η2=0.04]) as well as lower delta power (1-4 Hz [p=0.0009, η2=0.02]) and theta power (4-7 Hz [p< 0.0001, η2=0.05]) relative to normal sleepers. Conclusion While insomnia and shortened sleep did not influence traditional sleep architecture, they were differentially associated with alterations in sleep physiology. These more granular metrics may be useful in future investigations of potentially separable mechanisms that underlie adverse health consequences in insomnia versus shortened sleep. Support (if any)

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.005
GPT teacher head0.265
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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