Sleep latency was significantly associated with higher HbA1c (β=0.38; 95% CI 0.01-0.03) and lower diabetes self-management behavior in adolescents with Type 1 Diabetes.
Cross-Sectional (n=75)
Are sleep characteristics (duration, variability, latency) associated with glycemic outcomes and diabetes self-management in adolescents with T1D?
In adolescents with T1D, sleep latency and variability, rather than sleep duration, are associated with worse glycemic outcomes and reduced diabetes self-management behavior.
Effect estimate: β 0.38 (95% CI 0.01-0.03)
Introduction and Objective: Most adolescents with T1D obtain insufficient sleep, which is known to negatively impact glycemic outcomes. However, the relationship between other sleep characteristics, glycemic outcomes, and diabetes self-management remains unclear in adolescents with T1D. This study aims to determine which sleep characteristics are associated with diabetes outcomes. Methods: Adolescents with T1D, ages 11-17 yrs, who reported insufficient sleep completed sleep diaries over a 7-day period to record sleep duration and variability and the Pittsburgh Sleep Quality Index to measure sleep latency. Clinical data were obtained from participants' medical records. A cross-sectional analysis of preliminary data was conducted to evaluate associations between sleep characteristics (duration, variability, and latency) and HbA1c, % Time in Range, and % Time CGM Active, adjusting for adolescent age, sex, and family income. Results: In our sample of 75 adolescents with T1D (mean age= 15.1 yrs, 48% female, 80% non-Hispanic White, mean HbA1c = 8.8%), sleep latency (minutes to fall asleep) was significantly associated with higher HbA1c in both unadjusted (β=.43, 95% CI: .01, .04) and adjusted models (β=.38, 95% CI: .01, .03). Sleep latency was also significantly associated with lower % time in range in the unadjusted model (β=-.29, 95% CI: -.31, -.03) but not the adjusted model. In addition, sleep latency was associated with diabetes self-management behavior (% time CGM was active) in both the unadjusted (β =-.49, 95% CI: -.42, -.15) and adjusted models (β=-.45, 95% CI: -.39, -.14). Sleep variability was significantly associated with HbA1c (β=.25, 95% CI: .03, .73) and % time CGM was active (β=-.26, 95% CI: -8.7, -.27) in unadjusted models but not adjusted models. Sleep duration was not significantly associated with any of the diabetes outcomes. Conclusion: Our findings suggest that sleep timing, rather than sleep duration, may be an important target in improving glycemic outcomes and diabetes self-management behavior among adolescents with T1D. Disclosure L.G. Burgess: None. L. LeStourgeon: None. C. Davis: None. T. McCarty: None. L. Jordan: None. S. Jaser: Speaker's Bureau; Ended; Sanofi. Funding National Institutes of Health (R01DK136695)
BURGESS et al. (Fri,) conducted a cross-sectional in Type 1 Diabetes (n=75). Sleep latency and variability was evaluated on HbA1c (β 0.38, 95% CI 0.01-0.03). Sleep latency was significantly associated with higher HbA1c (β=0.38; 95% CI 0.01-0.03) and lower diabetes self-management behavior in adolescents with Type 1 Diabetes.