University of Virginia School of Nursing, 225 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA.
University of Virginia School of Nursing, 5012 McLeod Hall, 202 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA.
Heart Lung. 2024 Nov-Dec;68:323-336. doi: 10.1016/j.hrtlng.2024.08.016. Epub 2024 Aug 31.
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.
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.
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.
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.
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.
血压变异性(BPV)是心血管疾病(CVD)的预后标志物。睡眠被认为是 CVD 的一个重要危险因素;然而,睡眠特征与 BPV 之间的关系知之甚少。
在本次系统评价中,我们旨在(1)描述用于测量 BPV 和睡眠的方法,以及(2)描述文献中关于睡眠与 BPV 之间关联的现有证据。
使用“睡眠”和(“血压变异性”或“动态血压监测仪”)这两个检索词,在 CINAHL、PubMed、Web of Science 和 PsycINFO 数据库中进行了系统检索。
本次系统评价共纳入 22 项研究。睡眠的测量方法包括多导睡眠图、活动记录仪、睡眠日记和问卷,而 BPV 的测量时间间隔从几分钟到 24 小时不等,使用的监测设备包括逐搏血压(BP)监测仪、24 小时动态血压监测仪或自动上臂 BP 监测仪。这些研究结果显示,睡眠参数(睡眠质量、结构和持续时间)与 BPV 增加之间的关联结果不一致。
尽管解释睡眠与 BPV 之间关系的机制尚不清楚,但越来越多的证据表明,BPV 增加与睡眠质量差和睡眠时间长之间存在潜在关联。鉴于睡眠和 BP 监测技术的最新发展,有必要进一步研究在自由生活条件下的睡眠和 BPV。这些研究将有助于我们更好地理解睡眠与 CVD 风险之间的复杂相互作用。