Royal Hallamshire Hospital, Sheffield, UK.
Sleep Center, Emory University School of Medicine, Atlanta, GA, USA.
Int J Clin Pract. 2020 Jul;74(7):e13495. doi: 10.1111/ijcp.13495. Epub 2020 Mar 13.
Nocturia is a highly prevalent and bothersome medical condition characterised mainly by the need to wake up to pass urine during the main sleep period. Using data from wearable devices, it is possible to examine the sleep of large cohorts in natural settings. This study seeks to use data from connected smartwatches combined with a one-time survey to explore the presence of nocturia and associated level of bother and sleep characteristics in a non-patient cohort of wearable device users representing a broad age range.
The data used come from a retrospective dataset containing sleep data from Withings watches of 250 000 users and a prospective dataset containing answers to a 10-item questionnaire completed by a subset of users in the retrospective dataset.
The prospective dataset contained 6230 users. Overall, 6.0%, 15.3% and 38.9% of users in the age groups 18-44 years, 45-64 years and 65-90 years, respectively, reported 2 or more nocturnal voids as their customary voiding pattern, corresponding to levels of nocturia consistent with previous literature. The level of bother associated with nocturia was higher among younger users with 27.8% of users aged 18-44 years reporting that their daytime activity was highly affected versus just 14.1% among those aged 65-90 years. A higher number of reported voids per night was associated with watch-derived measures of a lower sleep efficiency, a longer awake duration at night and a shorter first uninterrupted sleep period.
This study suggests not only that nocturia is present among the younger population but also that the younger are more bothered by this medical condition. Using data from wearables it was possible to establish that there is an association between the number of nocturnal voids and sleep characteristics.
夜尿症是一种普遍存在且令人困扰的医学病症,主要表现为在主要睡眠时间需要醒来排尿。利用可穿戴设备的数据,可以在自然环境中对大量队列的睡眠情况进行检查。本研究旨在利用来自联网智能手表的数据和一次性调查,探索在具有广泛年龄范围的可穿戴设备用户非患者队列中,夜尿症的存在及其相关困扰程度和睡眠特征。
所使用的数据来自一个包含 25 万用户睡眠数据的回顾性数据集和一个包含前瞻性数据集的回顾性数据集,其中部分用户完成了包含 10 个问题的问卷。
前瞻性数据集包含 6230 名用户。总体而言,18-44 岁、45-64 岁和 65-90 岁年龄组的用户中,分别有 6.0%、15.3%和 38.9%的用户报告 2 次或以上夜间排尿作为其常规排尿模式,与以往文献中的夜尿症发生率相符。夜尿症相关困扰程度在年轻用户中较高,18-44 岁的用户中有 27.8%报告称他们的日间活动受到高度影响,而 65-90 岁的用户中仅有 14.1%。夜间报告的排尿次数越多,与手表测量的睡眠效率越低、夜间清醒时间延长和第一不间断睡眠周期缩短有关。
本研究表明,夜尿症不仅存在于年轻人群中,而且年轻人对此病症的困扰程度更高。通过使用可穿戴设备的数据,我们可以确定夜间排尿次数与睡眠特征之间存在关联。