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Sleep and blood pressure variability: A systematic literature review.
Kim, Yeonsu; Mattos, Meghan Kathleen; Esquivel, Jill Howie; Davis, Eric M; Logan, Jeongok.
Afiliación
  • Kim Y; University of Virginia School of Nursing, 225 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA. Electronic address: yk2rw@virginia.edu.
  • Mattos MK; University of Virginia School of Nursing, 5012 McLeod Hall, 202 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA.
  • Esquivel JH; University of California San Francisco School of Nursing, 2 Koret Way, San Francisco, CA, 94143, USA.
  • Davis EM; Department of Medicine, University of Virginia, 1222 Jefferson Park Ave, Charlottesville, VA, 22903, USA.
  • Logan J; University of Virginia School of Nursing, 4011 McLeod Hall, 202 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA.
Heart Lung ; 68: 323-336, 2024.
Article en En | MEDLINE | ID: mdl-39217647
ABSTRACT

BACKGROUND:

Blood pressure variability (BPV) is a prognostic marker of cardiovascular disease (CVD). Sleep is recognized as a significant risk factor for CVD; however, little is known about the relationship between sleep characteristics and BPV.

OBJECTIVE:

In this systematic review, we aimed to (1) describe methods used to measure BPV and sleep and (2) describe the current evidence in the literature on the association between sleep and BPV.

METHODS:

A systematic search was conducted using the search terms "sleep" AND ("blood pressure variability" OR "ambulatory blood pressure monitor") in CINAHL, PubMed, Web of Science, and PsycINFO databases.

RESULTS:

Twenty-two studies were included in this systematic review. Sleep was measured using various methods, including polysomnography, actigraphy, sleep diaries, and questionnaires, while BPV was measured over various time intervals using different monitoring devices such as a beat-to-beat blood pressure (BP) monitoring device, a 24-h ambulatory BP monitor, or an automatic upper arm BP monitor. The studies demonstrated mixed results on the associations between sleep parameters (sleep quality, architecture, and duration) and increased BPV.

CONCLUSIONS:

Although the mechanisms that explain the relationship between sleep and BPV are still unclear, accumulating evidence suggests potential associations between increased BPV with poor sleep quality and longer sleep duration. Given the recent development of sleep and BP monitoring technologies, further research is warranted to assess sleep and BPV under free-living conditions. Such studies will advance our understanding of complex interactions between sleep and CVD risk.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sueño / Presión Sanguínea Límite: Humans Idioma: En Revista: Heart Lung Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sueño / Presión Sanguínea Límite: Humans Idioma: En Revista: Heart Lung Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos