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Record W2607652922 · doi:10.1093/sleepj/zsx050.288

0289 CARDIOVASCULAR AUTONOMIC DYSFUNCTION IN PATIENTS WITH INSOMNIA AND OBJECTIVE SHORT SLEEP DURATION

2017· article· en· W2607652922 on OpenAlexaffabout
DC Jarrin, Hans Ivers, Manon Lamy, IY Chen, A. G. Harvey, CM Morin

Bibliographic record

VenueSLEEP · 2017
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInsomniaPolysomnographyHeart rate variabilityMedicineSleep (system call)Internal medicineCardiologyPrimary InsomniaSleep disorderHeart rateBlood pressurePsychiatryApnea

Abstract

fetched live from OpenAlex

Objective sleep duration has been proposed as a biological marker of insomnia severity. Based on this conceptualization, two phenotypes have emerged. Insomnia with near-normal sleep duration (NNSD) appears to be related to increased psychological symptoms. Conversely, insomnia with short sleep duration (SSD) is associated with an increased risk of future cardiovascular morbidity. Reduced heart rate variability (HRV) has also been implicated in the pathophysiology of cardiac conditions; however, there is little data on whether this physiological marker of cardiovascular function differs based on sleep duration in chronic insomnia patients. Participants were 189 adults (Mage = 49.8 years, SD = 11.8; 63.5% female) who met diagnostic criteria for insomnia. Objective sleep duration was based on total sleep time averaged across two consecutive nights of polysomnography (PSG). The sample was divided into two groups based on sleep duration - shorter (n = 48) or longer (n = 141) than 6 hours. Electrocardiogram data (2-min epochs) derived from PSG were edited and analyzed to obtain HRV during N2, N3, and rapid-eye movement (REM) sleep. HRV measures included high frequency (HF), an index of parasympathetic activation, and the ratio of low to high frequency (LF/HF ratio), an index of sympathovagal balance. Compared to insomnia patients with NNSD, those with SSD had significantly reduced HF-HRV during N2 (45.2 vs. 40.8, p<.001) and REM sleep (34.1 vs. 32.2, p=.007). Additionally, insomnia patients with SSD had significantly greater LF/HF ratio during N2 (1.12 vs. 1.06, p=.002) and REM sleep (1.26 vs. 1.21, p=.009) compared to insomnia patients with NNSD. No significant differences in N3 were found between phenotypes. Overall, insomnia patients with objective SSD showed significantly dampened parasympathetic activation and elevated sympathovagal imbalance relative to their counterparts with NNSD. It is posited that the pathophysiological responses related to short sleep may exacerbate a nocturnal stress response, expediting the progression of cardiovascular morbidity. These findings highlight the importance of treating insomnia, as treatment may reduce risk of cardiovascular disease. Supported by National Institute of Mental Health Grant (RO1MH079188 & R01MH60413) and by the Fonds de recherche du Québec - Santé (32207).

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 score0.167
Threshold uncertainty score0.537

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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