Resumen
Visit-to-visit blood pressure (BP) variability (BPV) is an independent risk factor of cardiovascular disease (CVD). Sleep architecture characterizes the distribution of different stages of sleep and may be important in CVD development. We examined the association between visit-to-visit BPV and sleep architecture using in-lab polysomnographic data from 3,565 patients referred to an academic sleep center. BPV was calculated using the intra-individual coefficient of variation of BP measures collected 12 months before the sleep study. We conducted multiple linear regression analyses to assess the association of systolic and diastolic BPV with sleep architecture—rapid eye movement (REM) and non-rapid eye movement (NREM) sleep duration. Our results show that systolic BPV was inversely associated with REM sleep duration (p =.058). When patients were divided into tertile groups based on their BPV, those in the third tertile (highest variability) spent 2.7 fewer minutes in REM sleep than those in the first tertile (lowest variability, p =.032), after adjusting for covariates. We did not find an association of systolic BPV with other measures of sleep architecture. Diastolic BPV was not associated with sleep architecture either. In summary, our study showed that greater systolic BPV was associated with lower REM sleep duration. Future investigation is warranted to clarify the directionality, mechanism, and therapeutic implications.
| Idioma original | English |
|---|---|
| Páginas (desde-hasta) | 323-330 |
| Número de páginas | 8 |
| Publicación | Journal of Clinical Hypertension |
| Volumen | 23 |
| N.º | 2 |
| DOI | |
| Estado | Published - feb 2021 |
Nota bibliográfica
Publisher Copyright:© 2021 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals LLC.
Financiación
This work was supported by Center for Engineering in Medicine Seed Grant Program at the University of Virginia. We gratefully acknowledge funding support from the Center for Engineering in Medicine at the University of Virginia. The Center and the University were not involved in any way in the design, execution, analysis, and writing of this paper. We gratefully acknowledge funding support from the Center for Engineering in Medicine at the University of Virginia. The Center and the University were not involved in any way in the design, execution, analysis, and writing of this paper.
| Financiadores |
|---|
| Center for Engineering in Medicine at the University of Virginia |
| Virginia Agricultural Experiment Station, Virginia Polytechnic Institute and State University |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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Good health and well being
ASJC Scopus subject areas
- Internal Medicine
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
Huella
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