Daily sleep quality and type 1 diabetes management in emerging adults: a dynamical systems examination

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Publication Type dissertation
School or College College of Social & Behavioral Science
Department Psychology
Author Turner, Sara L.
Title Daily sleep quality and type 1 diabetes management in emerging adults: a dynamical systems examination
Date 2019
Description Daily sleep quality contributes to self-regulation and is key to successful management of type 1 diabetes (T1D). Emerging adulthood is a high-risk time for diabetes management and sleep quality. As daily diabetes management is dynamic and changes across time, it may benefit from a dynamical systems examination that captures how individuals move around a set point in diabetes management and the speed of return to that set point (stability) after daily fluctuations in sleep quality and diabetes management. The purpose of the study was to examine whether emerging adults' subjective sleep quality related to set points of diabetes management (self-regulatory failures, adherence, and blood glucose levels) and stability around those set points via a 14-day daily diary. As part of a larger longitudinal study, for 14 days, 212 emergingadults with T1D (M age=18.75 years, 65% female) completed measures of sleep quality, self-regulatory failures around diabetes, and adherence, and recorded daily BG values and number of BG checks from their glucometers. Dynamical systems models (regression equations within multilevel models) characterized patterns of stability and change between subjective sleep quality and diabetes management across the daily diary. Higher sleep quality predicted a lower set point of mean blood glucose and decreased stability around this set point. Higher sleep quality predicted increased stability around the set point of self-regulatory failures. Higher sleep quality may relate to decreased set points in BG mean as well as to increased stability of self-regulatory failures. Diabetes clinical iv practice should incorporate the assessment of emerging adults' sleep characteristics. Future studies should utilize sleep quality interventions (e.g., CBT-i) as a way to target diabetes management.
Type Text
Publisher University of Utah
Dissertation Name Doctor of Philosophy
Language eng
Rights Management (c) Sara L. Turner
Format Medium application/pdf
ARK ark:/87278/s6tx9grb
Setname ir_etd
ID 1714359
Reference URL https://collections.lib.utah.edu/ark:/87278/s6tx9grb
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