内科学
医学
内分泌学
2型糖尿病
糖尿病
连续血糖监测
睡眠(系统调用)
1型糖尿病
计算机科学
操作系统
作者
Stephanie Griggs,Margaret Grey,Kingman P. Strohl,Sybil L. Crawford,Seunghee Margevicius,Sangeeta R. Kashyap,Chiang‐Shan R. Li,Sanjay Rajagopalan,Ronald L. Hickman
标识
DOI:10.1210/clinem/dgab771
摘要
Abstract Context Short sleep duration and sleep disruptions are associated with impaired glucoregulation in type 1 diabetes (T1D). However, the mechanistic pathways between sleep and glucose variability remain unclear. Objective To determine within- and between-person associations between objective sleep-wake characteristics and glucose variability indices. Methods Multilevel models were used to analyze concurrent sleep and glucose patterns over 7 days in 42 young adults with T1D in their natural home environment. Young adults with T1D (mean age 22.2 ± 3.0 years, HbA1c 7.2%, 32.6% male) for at least 6 months with no other medical or major psychiatric comorbidity were included. Sleep-wake characteristics were measured via wrist actigraphy and glucose variability indices via a continuous glucose monitor (CGM). Results Lower sleep efficiency predicted higher glucose variability (less time in range β = 0.011 and more time in hyperglycemia β = −0.011) within-person. A longer wake after sleep onset and more sleep disruptions were associated with higher glucose variability between persons (β = 0.28 and 0.31). Higher glucose variability predicted poorer sleep within-person (delayed bedtime, waketime, mid-sleep time, and lower sleep efficiency), while higher glucose variability was associated with poorer sleep and more sleep disruptions between persons (lower sleep efficiency, longer wake after sleep onset, and a higher sleep fragmentation index). Conclusion Clinicians can address the reciprocal nature of the sleep-glucose relationship by optimizing sleep and targeting efforts toward a euglycemic range overnight. Sleep habits are a modifiable personal target in diabetes care.
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