Characterising the relationship between sleep stages and associated spectral power in diabetes

Sleep disturbances are prevalent in the UK and globally, with sleep data from across 13 countries suggesting that only 55% of adults are satisfied with their sleep. Disturbed sleep is found in diabetes which is one of the most serious diseases worldwide. Specifically, relationships have been found b...

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Main Authors: Jennifer M. Johnson, Ffion Curtis, Simon J. Durrant
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Sleep Epidemiology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667343622000294
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author Jennifer M. Johnson
Ffion Curtis
Simon J. Durrant
author_facet Jennifer M. Johnson
Ffion Curtis
Simon J. Durrant
author_sort Jennifer M. Johnson
collection DOAJ
description Sleep disturbances are prevalent in the UK and globally, with sleep data from across 13 countries suggesting that only 55% of adults are satisfied with their sleep. Disturbed sleep is found in diabetes which is one of the most serious diseases worldwide. Specifically, relationships have been found between glycaemic control and sleep duration and quality. It is currently unclear how diabetes specifically affects sleep stages, and their associated spectral power. This study aims to characterise the relationship between polysomnography-measured specific sleep stages and associated spectral power in adults with diabetes and control participants. This study involved a secondary data analysis of multi-cohort Sleep Heart Health (SHH) data using a matched-pairs design. The sample included 414 participants (211 males, 203 females, mean age (years) 70.0, 95% CI [69.1, 70.9]) 207 with diabetes and 207 matched controls. The results suggest an increase in light sleep in diabetes, specifically NREM stage 2 sleep duration (p = 0.05) and percentage (p = 0.04), with an increase in slow-wave activity (p = 0.03) and delta power (p = 0.04) during NREM stage 1 sleep. Slow-wave sleep duration marginally reduced in diabetes, (p = 0.09), whilst delta power (p < 0.01), slow-wave activity (p = 0.02) and theta power (p < 0.01) in slow-wave sleep also significantly reduced in diabetes compared to control participants. No other changes to sleep stages or associated spectral power were observed. These results suggest a potential homoeostatic influence of sleep on glycaemic control, which should be further explored in future research.
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spelling doaj.art-efe4f15e99014828b1296f90b6c1382a2022-12-22T03:52:12ZengElsevierSleep Epidemiology2667-34362022-12-012100048Characterising the relationship between sleep stages and associated spectral power in diabetesJennifer M. Johnson0Ffion Curtis1Simon J. Durrant2Lincoln Sleep Research Centre, University of Lincoln, United Kingdom; School of Health and Social Care, University of Lincoln, United Kingdom; Corresponding author at: University of Lincoln, Brayford Pool, Lincoln LN6 7TS, United Kingdom.Lincoln Sleep Research Centre, University of Lincoln, United Kingdom; Diabetes Research Centre, College of Medicine, Biological Sciences and Psychology, Leicester General Hospital, Leicester, United KingdomLincoln Sleep Research Centre, University of Lincoln, United Kingdom; School of Psychology, University of Lincoln, United KingdomSleep disturbances are prevalent in the UK and globally, with sleep data from across 13 countries suggesting that only 55% of adults are satisfied with their sleep. Disturbed sleep is found in diabetes which is one of the most serious diseases worldwide. Specifically, relationships have been found between glycaemic control and sleep duration and quality. It is currently unclear how diabetes specifically affects sleep stages, and their associated spectral power. This study aims to characterise the relationship between polysomnography-measured specific sleep stages and associated spectral power in adults with diabetes and control participants. This study involved a secondary data analysis of multi-cohort Sleep Heart Health (SHH) data using a matched-pairs design. The sample included 414 participants (211 males, 203 females, mean age (years) 70.0, 95% CI [69.1, 70.9]) 207 with diabetes and 207 matched controls. The results suggest an increase in light sleep in diabetes, specifically NREM stage 2 sleep duration (p = 0.05) and percentage (p = 0.04), with an increase in slow-wave activity (p = 0.03) and delta power (p = 0.04) during NREM stage 1 sleep. Slow-wave sleep duration marginally reduced in diabetes, (p = 0.09), whilst delta power (p < 0.01), slow-wave activity (p = 0.02) and theta power (p < 0.01) in slow-wave sleep also significantly reduced in diabetes compared to control participants. No other changes to sleep stages or associated spectral power were observed. These results suggest a potential homoeostatic influence of sleep on glycaemic control, which should be further explored in future research.http://www.sciencedirect.com/science/article/pii/S2667343622000294DiabetesSleep stagesSpectral powerSlow-wave sleepTheta powerDelta power
spellingShingle Jennifer M. Johnson
Ffion Curtis
Simon J. Durrant
Characterising the relationship between sleep stages and associated spectral power in diabetes
Sleep Epidemiology
Diabetes
Sleep stages
Spectral power
Slow-wave sleep
Theta power
Delta power
title Characterising the relationship between sleep stages and associated spectral power in diabetes
title_full Characterising the relationship between sleep stages and associated spectral power in diabetes
title_fullStr Characterising the relationship between sleep stages and associated spectral power in diabetes
title_full_unstemmed Characterising the relationship between sleep stages and associated spectral power in diabetes
title_short Characterising the relationship between sleep stages and associated spectral power in diabetes
title_sort characterising the relationship between sleep stages and associated spectral power in diabetes
topic Diabetes
Sleep stages
Spectral power
Slow-wave sleep
Theta power
Delta power
url http://www.sciencedirect.com/science/article/pii/S2667343622000294
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