Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL, USA.
Department of Psychiatry, College of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Trials. 2022 Aug 19;23(1):686. doi: 10.1186/s13063-022-06565-6.
Despite improvements in treatment regimens and technology, less than 20% of adults with type 1 diabetes (T1D) achieve glycemic targets. Sleep is increasingly recognized as a potentially modifiable target for improving glycemic control. Diabetes distress, poor self-management behaviors, and reduced quality of life have also been linked to sleep variability and insufficient sleep duration. A significant gap of knowledge exists regarding interventions to improve sleep and the effects of sleep optimization on glycemic control in T1D. The purpose of this study is to determine the efficacy of a T1D-specific sleep optimization intervention (Sleep-Opt) on the primary outcomes of sleep variability, sleep duration, and glycemic control (A1C); other glycemic parameters (glycemic variability, time-in-range [TIR]); diabetes distress; self-management behaviors; quality of life; and other patient-reported outcomes in adults with T1D and habitual increased sleep variability or short sleep duration.
A randomized controlled parallel-arm study will be employed in 120 adults (aged 18 to 65 years) with T1D. Participants will be screened for habitual sleep variability (> 1 h/week) or insufficient sleep duration (< 6.5 h per night). Eligible subjects will be randomized to the Sleep-Opt intervention group or healthy living attention control group for 12 weeks. A 1-week run-in period is planned, with baseline measures of sleep by actigraphy (sleep variability and duration), glycemia (A1C and related glycemic measures: glycemic variability and TIR using continuous glucose monitoring), and other secondary outcomes: diabetes distress, self-management behaviors, quality of life, and additional patient-reported outcomes. Sleep-Opt is a technology-assisted behavioral sleep intervention that we recently developed that leverages the rapidly increasing public interest in sleep tracking. Our behavioral intervention employs four elements: a wearable sleep tracker, didactic content, an interactive smartphone application, and brief telephone counseling. The attention control group will participate in a healthy living information program. Baseline measures will be repeated at midpoint, program completion, and post-program (weeks 6, 12, and 24, respectively) to determine differences between the two groups and sustainability of the intervention.
A better understanding of strategies to improve sleep in persons with T1D has the potential to be an important component of diabetes.
Clinical Trial Registration: NCT04506151 .
尽管治疗方案和技术有所改进,但仍有不到 20%的 1 型糖尿病 (T1D) 患者达到血糖目标。睡眠越来越被认为是改善血糖控制的一个潜在可调节目标。糖尿病困扰、自我管理行为差和生活质量下降也与睡眠变异性和睡眠时间不足有关。目前,关于改善睡眠的干预措施以及睡眠优化对 T1D 患者血糖控制的影响,知识差距仍然很大。本研究旨在确定 T1D 特异性睡眠优化干预 (Sleep-Opt) 对睡眠变异性、睡眠时间和血糖控制 (A1C) 的主要结果的疗效;其他血糖参数 (血糖变异性、时间在范围内 [TIR]);糖尿病困扰;自我管理行为;生活质量;以及 T1D 患者的其他患者报告结果,这些患者习惯性睡眠变异性增加或睡眠时间不足。
将采用随机对照平行臂研究招募 120 名(年龄 18 至 65 岁)T1D 成人。参与者将接受习惯性睡眠变异性(> 1 小时/周)或睡眠时间不足(每晚< 6.5 小时)的筛查。合格的受试者将随机分配到睡眠优化干预组或健康生活关注对照组,进行 12 周的治疗。计划进行为期 1 周的导入期,使用活动记录仪测量睡眠(睡眠变异性和持续时间)、血糖(A1C 和相关血糖指标:使用连续血糖监测的血糖变异性和 TIR)以及其他次要结果:糖尿病困扰、自我管理行为、生活质量和其他患者报告的结果。Sleep-Opt 是我们最近开发的一种技术辅助行为睡眠干预措施,利用公众对睡眠跟踪的兴趣迅速增加。我们的行为干预采用四个要素:可穿戴睡眠追踪器、教学内容、互动智能手机应用程序和简短的电话咨询。对照组将参加健康生活信息计划。在中点、项目完成和项目后(分别为第 6、12 和 24 周)重复基线测量,以确定两组之间的差异和干预措施的可持续性。
更好地了解改善 T1D 患者睡眠的策略有可能成为糖尿病的重要组成部分。
临床试验注册:NCT04506151 。