PDF(Pubmed)
Abstract：
UNASSIGNED: Associations between subjective sleep quality and stage-specific heart rate (HR) may have important clinical relevance when aiming to optimize sleep and overall health. The majority of previously studies have been performed during short periods under laboratory-based conditions. The aim of this study was to investigate the associations of subjective sleep quality with heart rate during REM sleep (HR REMS) and non-REM sleep (HR NREMS) using a wearable device (Fitbit Versa).
UNASSIGNED: This is a secondary analysis of data from the intervention group of a randomized controlled trial (RCT) performed between December 3, 2018, and March 2, 2019, in Tokyo, Japan. The intervention group consisted of 179 Japanese office workers with metabolic syndrome (MetS), Pre-MetS or a high risk of developing MetS. HR was collected with a wearable device and sleep quality was assessed with a mobile application where participants answered The St. Mary\'s Hospital Sleep Questionnaire. Both HR and sleep quality was collected daily for a period of 90 days. Associations of between-individual and within-individual sleep quality with HR REMS and HR NREMS were analyzed with multi-level model regression in 3 multivariate models.
UNASSIGNED: The cohort consisted of 92.6% men (n=151) with a mean age (± standard deviation) of 44.1 (±7.5) years. A non-significant inverse between-individual association was observed for sleep quality with HR REMS (HR REMS -0.18; 95% CI -0.61, 0.24) and HR NREMS (HR NREMS -0.23; 95% CI -0.66, 0.21), in the final multivariable adjusted models; a statistically significant inverse within-individual association was observed for sleep quality with HR REMS (HR REMS -0.21 95% CI -0.27, -0.15) and HR NREMS (HR NREMS -0.21 95% CI -0.27, -0.14) after final adjustments for covariates.
UNASSIGNED: The present study shows a statistically significant within-individual association of subjective sleep quality with HR REMS and HR NREMS. These findings emphasize the importance of considering sleep quality on the individual level. The results may contribute to early detection and prevention of diseases associated with sleep quality which may have important implications on public health given the high prevalence of sleep disturbances in the population.
UNASSIGNED: This is a secondary analysis of data from the intervention group of a randomized controlled trial (RCT) performed between December 3, 2018, and March 2, 2019, in Tokyo, Japan. The intervention group consisted of 179 Japanese office workers with metabolic syndrome (MetS), Pre-MetS or a high risk of developing MetS. HR was collected with a wearable device and sleep quality was assessed with a mobile application where participants answered The St. Mary\'s Hospital Sleep Questionnaire. Both HR and sleep quality was collected daily for a period of 90 days. Associations of between-individual and within-individual sleep quality with HR REMS and HR NREMS were analyzed with multi-level model regression in 3 multivariate models.
UNASSIGNED: The cohort consisted of 92.6% men (n=151) with a mean age (± standard deviation) of 44.1 (±7.5) years. A non-significant inverse between-individual association was observed for sleep quality with HR REMS (HR REMS -0.18; 95% CI -0.61, 0.24) and HR NREMS (HR NREMS -0.23; 95% CI -0.66, 0.21), in the final multivariable adjusted models; a statistically significant inverse within-individual association was observed for sleep quality with HR REMS (HR REMS -0.21 95% CI -0.27, -0.15) and HR NREMS (HR NREMS -0.21 95% CI -0.27, -0.14) after final adjustments for covariates.
UNASSIGNED: The present study shows a statistically significant within-individual association of subjective sleep quality with HR REMS and HR NREMS. These findings emphasize the importance of considering sleep quality on the individual level. The results may contribute to early detection and prevention of diseases associated with sleep quality which may have important implications on public health given the high prevalence of sleep disturbances in the population.
摘要：
■当旨在优化睡眠和整体健康时，主观睡眠质量和特定阶段心率（HR）之间的关联可能具有重要的临床相关性。大多数先前的研究都是在基于实验室的条件下在短时间内进行的。这项研究的目的是使用可穿戴设备（FitbitVersa）研究REM睡眠（HRREMS）和非REM睡眠（HRNREMS）期间主观睡眠质量与心率的关系。
■这是对2018年12月3日至2019年3月2日在东京进行的随机对照试验（RCT）干预组数据的二次分析。日本。干预组包括179名患有代谢综合征（MetS）的日本上班族，Pre-MetS或开发MetS的高风险。使用可穿戴设备收集HR，并使用移动应用程序评估睡眠质量，参与者回答圣玛丽医院睡眠问卷。每天收集HR和睡眠质量，持续90天。在3个多变量模型中，采用多水平模型回归分析了个体间和个体内睡眠质量与HRREMS和HRNREMS的关系。
■该队列由92.6％的男性（n=151）组成，平均年龄（±标准偏差）为44.1（±7.5）岁。在睡眠质量与HRREMS（HRREMS-0.18;95％CI-0.61，0.24）和HRNREMS（HRNREMS-0.23;95％CI-0.66，0.21）之间观察到无显著负相关，在最终的多变量校正模型中;在对协变量进行最终校正后,睡眠质量与HRREMS(HRREMS-0.2195%CI-0.27,-0.15)和HRNREMS(HRNREMS-0.2195%CI-0.27,-0.14)存在统计学显著的个体内部负相关.
■本研究显示主观睡眠质量与HRREMS和HRNREMS的个体内统计学显著关联。这些发现强调了在个人水平上考虑睡眠质量的重要性。该结果可能有助于早期发现和预防与睡眠质量相关的疾病，鉴于人群中睡眠障碍的患病率很高，这些疾病可能对公共卫生具有重要意义。
■这是对2018年12月3日至2019年3月2日在东京进行的随机对照试验（RCT）干预组数据的二次分析。日本。干预组包括179名患有代谢综合征（MetS）的日本上班族，Pre-MetS或开发MetS的高风险。使用可穿戴设备收集HR，并使用移动应用程序评估睡眠质量，参与者回答圣玛丽医院睡眠问卷。每天收集HR和睡眠质量，持续90天。在3个多变量模型中，采用多水平模型回归分析了个体间和个体内睡眠质量与HRREMS和HRNREMS的关系。
■该队列由92.6％的男性（n=151）组成，平均年龄（±标准偏差）为44.1（±7.5）岁。在睡眠质量与HRREMS（HRREMS-0.18;95％CI-0.61，0.24）和HRNREMS（HRNREMS-0.23;95％CI-0.66，0.21）之间观察到无显著负相关，在最终的多变量校正模型中;在对协变量进行最终校正后,睡眠质量与HRREMS(HRREMS-0.2195%CI-0.27,-0.15)和HRNREMS(HRNREMS-0.2195%CI-0.27,-0.14)存在统计学显著的个体内部负相关.
■本研究显示主观睡眠质量与HRREMS和HRNREMS的个体内统计学显著关联。这些发现强调了在个人水平上考虑睡眠质量的重要性。该结果可能有助于早期发现和预防与睡眠质量相关的疾病，鉴于人群中睡眠障碍的患病率很高，这些疾病可能对公共卫生具有重要意义。
