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Record W4394977897 · doi:10.1093/sleep/zsae067.0020

0020 Heart Rate Variability Changes During Sleep in Postmenopausal Women

2024· article· en· W4394977897 on OpenAlexaffabout
Rafael Pérez‐Medina‐Carballo, Anastasi Kosmadopoulos, Philippe Boudreau, Diane B. Boivin

Bibliographic record

VenueSLEEP · 2024
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsMcGill University
Fundersnot available
KeywordsHeart rate variabilitySleep (system call)Heart rateMedicinePolysomnographyCardiologyInternal medicineAudiologyBlood pressureComputer scienceApnea

Abstract

fetched live from OpenAlex

Abstract Introduction Young women present a lower risk of cardiovascular disease (CVD) than age-matched men, but this risk steeply increases at menopause. Heart rate variability (HRV) has been proposed as a marker of cardiovascular health, which changes with circadian phase and menopause. We aim to understand the changes in the circadian variation of HRV that occurs in postmenopausal women. Methods Eight healthy PMW (54.8±3.4 years, one taking hormones) and 12 healthy young women (YW; 25.8±3.4 years) in their mid-follicular phase were enrolled. Participants were healthy sleepers. After a regular 8-h sleep schedule at home for ≥2 weeks, participants entered the laboratory. After a baseline nocturnal sleep period, they underwent a 48-h (PMW) or 72-h (YW) ultradian sleep-wake cycle procedure (USW) consisting of alternating 60-min wake and nap opportunities. Sleep was polysomnographically recorded. EKG recordings were used to calculate HRV parameters: heart rate (HR), SDNN, RMSSD, HF. Circadian parameters (mesor, amplitude, phase) were calculated by fitting a cosinor to HRV parameters during the first 24 naps of the USW. Linear mixed-effects models were used for between-group comparisons. Results During the hourly analysis of the baseline sleep period, PMW presented lower SDNN, RMSSD and HF compared to YW (p≤0.025), with no differences in HR. PMW also had lower SDNN, RMSSD, and HF throughout N2, N3, REM sleep, and wake epochs (p≤0.013). During the USW procedure, YW showed a significant circadian variation of HR during NREM sleep and wake, and HF during NREM sleep (p≤0.010), whereas these variations were not significant in PMW. Both groups presented a significant circadian variation of SDNN in NREM sleep and wake (p≤0.037), with no differences in amplitude or phase. PMW also presented a lower mesor of SDNN, RMSSD and HF (p≤0.024). Conclusion The lower HRV (SDNN) and parasympathetic activity (RMSSD and HF) during the sleep of PMW is consistent with the increased risk of developing CVD after menopause. Furthermore, the dampened circadian variation of HR and HF in PMW suggest a weakened circadian regulation of the cardiovascular system. This could be a mechanism involved in the increased CV risk after menopause, although this would require further investigation. Support (if any) Canadian Institutes of Health Research.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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.

Study designBench or experimental
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 routes2
Has abstractyes

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