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Updated: Jul 17, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
Published on: August 8, 2019
Sleep patterns and glycemia in adults with cystic fibrosis-related diabetes: a remote pilot study
Anushka Sharma1, Evangelos Vassilakis1, Hao Deng1
1Department of Anesthesiology, Massachusetts General Hospital, Boston, MA, USA.
Background:
Cystic fibrosis-related diabetes (CFRD) is a common and serious complication of cystic fibrosis (CF) that leads to worse clinical outcomes. Sleep disturbance is prevalent in CF and may represent a modifiable contributor to dysglycemia in CFRD, however concurrent real-world assessments of sleep and glycemia are limited.
Methods:
This was a fully remote, 10-day observational study to evaluate the feasibility of at-home phenotyping of sleep and glycemia in adults with CFRD. Participants were recruited nationwide and completed continuous glucose monitoring, wrist actigraphy, validated surveys, and at-home fingerstick hemoglobin A1c collection. Feasibility was assessed with study completion and enrollment rates. Descriptive analyses characterized sleep and glycemic measures, and exploratory analyses assessed their relationship.
Results:
Thirty patients (43.7 ± 12.3 years; 83.3% female; 93.3% White) were enrolled, yielding 100% completion and 96.8% enrollment. Broadly, 76.7% of participants reported poor overall sleep quality; in terms of sleep disorders, 46.7% endorsed clinically significant insomnia symptoms, 30% were at high risk for obstructive sleep apnea, and 16.7% met criteria for definite restless legs syndrome. Time in range (TIR) did not differ across sleep categories. Actigraphy estimates indicated median (Q1, Q3) sleep duration of 7.5 h (6.5, 8.1) and sleep efficiency of 87.5% (83.9, 89.3). Among the actigraphy measures, longer sleep onset latency was significantly correlated with lower TIR.
Conclusions:
This study demonstrates the feasibility of fully remote physiological phenotyping in CF research and highlights sleep patterns as a potential contributor to metabolic health in CFRD.
