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Insomnia is Associated with an Increased Carotid‐Femoral Pulse Wave Velocity in Healthy Young Adults during Awake Hours

2020· article· en· W3017716295 on OpenAlexaffabout
Madison K. Gagnon, Kylie S. Dempster, Terrance J. Wade, Deborah D. O’Leary

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsBrock University
Fundersnot available
KeywordsPulse wave velocityMedicineBlood pressureInsomniaHeart rateCardiologyInternal medicineArterial stiffnessPopulationDiastoleBaroreflexPulse pressure

Abstract

fetched live from OpenAlex

Current literature indicates that those living with insomnia have an increased risk of developing and dying from cardiovascular disease (CVD). Previous studies have investigated cardiovascular measures such as baroreflex sensitivity (cvBRS), heart rate (HR), blood pressure (BP) and serum lipid levels in those with insomnia, however these studies focus on older adults and do not investigate early cardiovascular changes occurring in a young population. The purpose of this study was to examine differences across multiple cardiovascular measures that may be associated with insomnia in a young, healthy adult population. This cross‐sectional analysis of the midpoint sample of the Niagara Longitudinal Heart Study used data from 156 participants aged 19–25 years. Insomnia was classified using the SLEEP‐50 questionnaire and was compared across measures of BP, HR, cvBRS, and carotid‐femoral pulse wave velocity (cfPWV). HR and BP were measured using an automatic oscillometric device, cvBRS was measured using a beat‐by‐beat systolic BP and RR intervals, and cfPWV was measured using a hand‐held tonometer which measured pressure waveforms. Significantly higher cfPWV was found in those with insomnia (M=6.00± 0.89) versus those without (M=5.57 ±0.88) (p=0.013). There were no significant differences between those with and without insomnia for BP, HR or cvBRS (p>0.05), however, a non‐significant trend in HR was found between those with insomnia (M=79.93± 11.92) and those without (M=75.91± 11.18) (p=0.058). Literature suggests that insomnia may lead to CVD through mechanisms including changes in autonomic activity, systemic inflammation, and hormonal dysregulation. Previous insomnia studies have not investigated cfPWV, therefore these findings suggest that arterial stiffness may be an early indicator of CVD risk in those with insomnia. These results are especially novel since they are being detected in a young, otherwise healthy population suggesting that CVD risk may begin to develop early in those suffering with insomnia. The identification of these differences at a young age suggests that significant cardiovascular change occurs earlier than previously expected in those living with insomnia, thus prompting early intervention to help reduce the physiological burden of this sleeping disorder. Support or Funding Information Funding source: The NLHS is funded by the Canadian Institutes of Health Research (CIHR #s 363774, 399332). KSD is funded by a CIHR Doctoral Research Award – Frederick Banting and Charles Best Canada Graduate Scholarship (RFN#167014)

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)0.000
metaresearch head score (Gemma)0.001
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 score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.020
GPT teacher head0.257
Teacher spread0.237 · 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
Published2020
Admission routes2
Has abstractyes

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