Association between sleep variability and time in range of glucose levels in patients with type 1 diabetes: Cross-sectional study

• Published in: Sleep health Vol. 9; no. 6; pp. 968 - 976
• Main Authors: Reutrakul, Sirimon, Irsheed, Ghada Abu, Park, Minsun, Steffen, Alana D., Burke, Larisa, Pratuangtham, Sarida, Baron, Kelly Glazer, Duffecy, Jennifer, Perez, Rose, Quinn, Laurie, Withington, Margaret H. Clark, Saleh, Adam Hussain, Loiacono, Bernardo, Mihailescu, Dan, Martyn-Nemeth, Pamela
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.12.2023
• Subjects: Adult; Blood Glucose - metabolism; Blood Glucose Self-Monitoring; Continuous glucose monitor; Cross-Sectional Studies; Diabetes Mellitus, Type 1 - complications; Diabetes Mellitus, Type 2; Female; Glucose; Glycated Hemoglobin; Glycemic control; Hemoglobin A1C; Humans; Male; Sleep; Sleep variability; Surveys and Questionnaires; Time-in-range; Type 1 diabetes; Glycemic control; Sleep; Continuous glucose monitor; Type 1 diabetes; Sleep variability; Hemoglobin A1C; Time-in-range
• DOI: 10.1016/j.sleh.2023.07.007
• ISSN: 2352-7218; 2352-7226

Sleep and circadian disturbances emerge as novel factors influencing glycemic control in type 1 diabetes (T1D). We aimed to explore the associations among sleep, behavioral circadian parameters, self-care, and glycemic parameters in T1D. Seventy-six non–shift-working adult T1D patients participated. Blinded 7-day continuous glucose monitoring (CGM) and hemoglobin A1C (A1C) were collected. Percentages of time-in-range (glucose levels 70-180 mg/dL) and glycemic variability (measured by the coefficient of variation [%CV]) were calculated from CGM. Sleep (duration and efficiency) was recorded using 7-day actigraphy. Variability (standard deviation) of midsleep time was used to represent sleep variability. Nonparametric behavioral circadian variables were derived from actigraphy activity recordings. Self-care was measured by diabetes self-management questionnaire-revised. Multiple regression analyses were performed to identify independent predictors of glycemic parameters. Median (interquartile range) age was 34.0 (27.2, 43.1) years, 48 (63.2%) were female, and median (interquartile range) A1C was 6.8% (6.2, 7.4). Sleep duration, efficiency, and nonparametric behavioral circadian variables were not associated with glycemic parameters. After adjusting for age, sex, insulin delivery mode/CGM use, and ethnicity, each hour increase in sleep variability was associated with 9.64% less time-in-range (B = −9.64, 95% confidence interval [−16.29, −2.99], p ≤ .001). A higher diabetes self-management questionnaire score was an independent predictor of lower A1C (B = −0.18, 95% confidence interval [−0.32, −0.04]). Greater sleep timing variability is independently associated with less time spent in the desirable glucose range in this T1D cohort. Reducing sleep timing variability could potentially lead to improved metabolic control and should be explored in future research. Data are available upon a reasonable request to the corresponding author.