Profiling of sleep models based on voluntary and involuntary sleep in adults with type 2 diabetes
Profiling of sleep models based on voluntary and involuntary sleep in adults with type 2 diabetes
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基于 2 型糖尿病成人自愿和非自愿睡眠的睡眠模型分析
DOI：
10.1007/s41782-022-00218-z
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发表时间：
2022
影响因子：
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通讯作者：
Chinatsu Kato
中科院分区：
文献类型：
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作者：
Azusa Oda;Miho Katayama;Ritsuko Aijo;Chinatsu Kato
PurposeThe本研究的目的是产生自愿睡眠（V）和非自愿睡眠（IV）在睡眠中的概念，建立睡眠模型，使用它们，并配置糖尿病控制在成人2型diabetes.MethodsWe获得了595个夜晚的睡眠数据从50名参与者。参与者使用睡眠仪HSL-101（Omron Healthcare，京都）测量睡眠并回答匹兹堡睡眠质量指数（PSQI）。结果“V1：睡眠自主”和“V2：有意识睡眠量”由自主睡眠产生，“IV 1：持续深睡眠”和“IV 2：实际睡眠量”由非自主睡眠产生。使用聚类分析，他们被分为三个模型，“CL 1：睡眠满意模型”，“CL 2：短睡眠模型”，和“CL 3：睡眠不满意模型”。当通过ANOVA和Bonferroni检验比较每个聚类中的糖尿病对照时，HbA 1c以CL 1、CL 2和CL 3的顺序较高，并且CL 1和CL 3之间存在显著差异（p= 0.029）。同样，年龄低，在同一顺序和BMI高，在同一顺序，与CL 1和CL 3之间的显着差异（p= 0.030，0.037）。结论睡眠在成人2型糖尿病患者可以聚类成三个模型的基础上V和IV，每一个都可以通过一个显着特征的糖尿病控制指数。将有可能从糖尿病控制中识别患者的睡眠模式，并适当地接近自愿睡眠和非自愿睡眠。
PurposeThe purpose of this study is to generate the concept of voluntary sleep (V) and involuntary sleep (IV) in sleep, to build sleep models using them, and to profile by diabetes control in adults with type 2 diabetes.MethodsWe obtained 595 nights of sleep data from 50 participants. Participants measured sleep with the sleep meter HSL-101 (Omron Healthcare, Kyoto) and answered the Pittsburgh Sleep Quality Index (PSQI). They were operationally defined as V and IV.Results"V1: sleep self-determination" and "V2: conscious sleep quantity" were generated from voluntary sleep, and "IV1: continuous deep sleep" and "IV2: actual sleep quantity" were generated from involuntary sleep. Using cluster analysis, they were classified into three models, "CL1: sleep satisfaction model", "CL2: short sleep model", and "CL3: dissatisfaction sleep model". When the diabetes controls in each cluster were compared by ANOVA and Bonferroni's test, HbA1c was higher in the order of CL1, CL2, and CL3, and there was a significant difference between CL1 and CL3 (p= 0.029). Similarly, age was low in the same order and BMI was high in the same order, with a significant difference between CL1 and CL3 (p= 0.030, 0.037).ConclusionsSleep in adults with type 2 diabetes could be clustered into three models based on V and IV, each of which could be profiled by a significantly characteristic diabetes control index. It will be possible to identify the patient's sleep model from the diabetes control and appropriately approach voluntary sleep and involuntary sleep.