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:	Thai Duy Nguyen, Sébastien Baillieul, Michel Guinot, Stéphane Doutreleau, Véronique-Aurélie Bricout
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	physical activity sleep Down syndrome cluster analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/38cd88f15ecf4a339b398a882bab306d
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spelling	oai:doaj.org-article:38cd88f15ecf4a339b398a882bab306d2021-11-25T16:58:33ZClassification of Factors Effect on Sleep in Individuals with Down Syndrome10.3390/brainsci111115002076-3425https://doaj.org/article/38cd88f15ecf4a339b398a882bab306d2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3425/11/11/1500https://doaj.org/toc/2076-3425Background: 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.Thai Duy NguyenSébastien BaillieulMichel GuinotStéphane DoutreleauVéronique-Aurélie BricoutMDPI AGarticlephysical activitysleepDown syndromecluster analysisNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Sciences, Vol 11, Iss 1500, p 1500 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	physical activity sleep Down syndrome cluster analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	physical activity sleep Down syndrome cluster analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Thai Duy Nguyen Sébastien Baillieul Michel Guinot Stéphane Doutreleau Véronique-Aurélie Bricout Classification of Factors Effect on Sleep in Individuals with Down Syndrome
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.
format	article
author	Thai Duy Nguyen Sébastien Baillieul Michel Guinot Stéphane Doutreleau Véronique-Aurélie Bricout
author_facet	Thai Duy Nguyen Sébastien Baillieul Michel Guinot Stéphane Doutreleau Véronique-Aurélie Bricout
author_sort	Thai Duy Nguyen
title	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_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_sort	classification of factors effect on sleep in individuals with down syndrome
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/38cd88f15ecf4a339b398a882bab306d
work_keys_str_mv	AT thaiduynguyen classificationoffactorseffectonsleepinindividualswithdownsyndrome AT sebastienbaillieul classificationoffactorseffectonsleepinindividualswithdownsyndrome AT michelguinot classificationoffactorseffectonsleepinindividualswithdownsyndrome AT stephanedoutreleau classificationoffactorseffectonsleepinindividualswithdownsyndrome AT veroniqueaureliebricout classificationoffactorseffectonsleepinindividualswithdownsyndrome
_version_	1718412831069569024

Classification of Factors Effect on Sleep in Individuals with Down Syndrome

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