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Classification of Factors Effect on Sleep in Individuals with Down Syndrome

Background: Sleep disordered breathing (SDB) is a frequent disorder with serious adverse health consequences in people with Down syndrome (DS). This study aims to evaluate and classify sleep and physical activity (PA) characteristics in adults with DS. Methods: Forty participants with DS wore an acc...

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Autores principales: Nguyen, Thai Duy, Baillieul, Sébastien, Guinot, Michel, Doutreleau, Stéphane, Bricout, Véronique-Aurélie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615686/
https://www.ncbi.nlm.nih.gov/pubmed/34827499
http://dx.doi.org/10.3390/brainsci11111500
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author Nguyen, Thai Duy
Baillieul, Sébastien
Guinot, Michel
Doutreleau, Stéphane
Bricout, Véronique-Aurélie
author_facet Nguyen, Thai Duy
Baillieul, Sébastien
Guinot, Michel
Doutreleau, Stéphane
Bricout, Véronique-Aurélie
author_sort Nguyen, Thai Duy
collection PubMed
description Background: Sleep disordered breathing (SDB) is a frequent disorder with serious adverse health consequences in people with Down syndrome (DS). This study aims to evaluate and classify sleep and physical activity (PA) characteristics in adults with DS. Methods: Forty participants with DS wore an accelerometer for seven consecutive days to measure physical activity and sleep–wake patterns. The corresponding data were also obtained by survey and polysomnography. The apnea-hypopnea index (AHI) is calculated from the number of apneas and hypopneas per hour of sleep according to international guidelines. Results: Polysomnography showed SDB based on AHI in 95% of adults: 50% had severe SDB, 22.5% presented moderate and 22.5% mild SDB, predominantly in males. They had poor sleep quality (80.1%) and low PA levels. Using statistical classification methods, we observed three clusters with two opposite profiles. Clusters 2 and 3 showed low PA indices (daily steps: 5719 and 5310, respectively) and severe SDB (AHI = 33.6 and 55.5 events/h), high age and high gonial angle. Cluster 1 showed high PA (mean count of daily steps: 6908) and mild to moderate SDB (AHI = 16.8 events/h), low age and low gonial angle. Conclusions: Our findings suggest that there are different profiles (age, gender, obesity, gonial angle) that are associated with SDB in adults with DS. These results suggest that this may represent important factors to consider when planning health promotion and prevention.
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spelling pubmed-86156862021-11-26 Classification of Factors Effect on Sleep in Individuals with Down Syndrome Nguyen, Thai Duy Baillieul, Sébastien Guinot, Michel Doutreleau, Stéphane Bricout, Véronique-Aurélie Brain Sci Article Background: Sleep disordered breathing (SDB) is a frequent disorder with serious adverse health consequences in people with Down syndrome (DS). This study aims to evaluate and classify sleep and physical activity (PA) characteristics in adults with DS. Methods: Forty participants with DS wore an accelerometer for seven consecutive days to measure physical activity and sleep–wake patterns. The corresponding data were also obtained by survey and polysomnography. The apnea-hypopnea index (AHI) is calculated from the number of apneas and hypopneas per hour of sleep according to international guidelines. Results: Polysomnography showed SDB based on AHI in 95% of adults: 50% had severe SDB, 22.5% presented moderate and 22.5% mild SDB, predominantly in males. They had poor sleep quality (80.1%) and low PA levels. Using statistical classification methods, we observed three clusters with two opposite profiles. Clusters 2 and 3 showed low PA indices (daily steps: 5719 and 5310, respectively) and severe SDB (AHI = 33.6 and 55.5 events/h), high age and high gonial angle. Cluster 1 showed high PA (mean count of daily steps: 6908) and mild to moderate SDB (AHI = 16.8 events/h), low age and low gonial angle. Conclusions: Our findings suggest that there are different profiles (age, gender, obesity, gonial angle) that are associated with SDB in adults with DS. These results suggest that this may represent important factors to consider when planning health promotion and prevention. MDPI 2021-11-12 /pmc/articles/PMC8615686/ /pubmed/34827499 http://dx.doi.org/10.3390/brainsci11111500 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nguyen, Thai Duy
Baillieul, Sébastien
Guinot, Michel
Doutreleau, Stéphane
Bricout, Véronique-Aurélie
Classification of Factors Effect on Sleep in Individuals with Down Syndrome
title Classification of Factors Effect on Sleep in Individuals with Down Syndrome
title_full Classification of Factors Effect on Sleep in Individuals with Down Syndrome
title_fullStr Classification of Factors Effect on Sleep in Individuals with Down Syndrome
title_full_unstemmed Classification of Factors Effect on Sleep in Individuals with Down Syndrome
title_short Classification of Factors Effect on Sleep in Individuals with Down Syndrome
title_sort classification of factors effect on sleep in individuals with down syndrome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615686/
https://www.ncbi.nlm.nih.gov/pubmed/34827499
http://dx.doi.org/10.3390/brainsci11111500
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