A SLEEP INTERVENTION TO IMPROVE GLYCEMIC CONTROL IN WORKING ADULTS WITH TYPE 1 DIABETES

Session Name
TRIALS IN PROGRESS
Session Type
E-POSTER VIEWING (EXHIBITION HOURS)
Date
20.02.2020, Thursday
Session Time
09:30 - 15:30
Channel
E-Poster Area
Lecture Time
09:35 - 09:36
Presenter
  • Pamela Martyn-nemeth, United States of America
Authors
  • Pamela Martyn-nemeth, United States of America
  • Sirimon Reutrakul, United States of America
  • Jennifer Duffecy, United States of America
  • Kelly Baron, United States of America
  • Lauretta Quinn, United States of America
  • Alana Steffen, United States of America
  • Shems Al-taie, United States of America
  • Minsun Park, United States of America
  • Glorieuse Uwizeye, United States of America
  • Swaty Chapagai, United States of America

Abstract

Background and Aims

Sleep variability (variability in day-to-day sleep schedule) and insufficient sleep duration are increasingly recognized as important contributors to glycemic control in T1D. The purpose of this pilot trial was to evaluate the effects of a T1D-specific sleep optimization intervention (Sleep-Opt-In) on the outcomes of objectively measured sleep variability and duration; and glycemic parameters (glycemic control and variability) in working-age adults with T1D.

Methods

Six adults with T1D completed an 8-week T1D-Sleep-Opt-In intervention. A one-week run-in period was conducted to obtain baseline measures of sleep (actigraphy-derived duration, variability [sleep duration SD]), glycemic control (A1C, Quest®), and glucose variability (CGM-derived CV%, Abbott Libre®). T1D-Sleep-Opt-In entails a novel technology-assisted behavioral sleep intervention employing a wearable sleep tracker, didactic content, an interactive smartphone application, and brief telephone counseling. At completion (Week 8), baseline measures were repeated to determine post-intervention differences.

Results

After the 8-week program there was a reduction in sleep variability, wakefulness after sleep onset and glycemic variability. Those with higher sleep variability (>60 min) responded better: mean sleep variability decreased 17 minutes; mean A1C decreased 0.26%, mean CV% decreased 5.7%.

Conclusions

This pilot study demonstrates proof of concept that those with high sleep variability may benefit from a sleep optimization intervention.

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