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Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile

Some individuals are able to successfully reach very old ages, reflecting higher adaptation against age-associated effects. Sleep is one of the processes deeply affected by aging; however few studies evaluating sleep in long-lived individuals (aged over 85) have been reported to date. The aim of thi...

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Autores principales: Mazzotti, Diego Robles, Guindalini, Camila, Moraes, Walter André dos Santos, Andersen, Monica Levy, Cendoroglo, Maysa Seabra, Ramos, Luiz Roberto, Tufik, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067693/
https://www.ncbi.nlm.nih.gov/pubmed/25009494
http://dx.doi.org/10.3389/fnagi.2014.00134
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author Mazzotti, Diego Robles
Guindalini, Camila
Moraes, Walter André dos Santos
Andersen, Monica Levy
Cendoroglo, Maysa Seabra
Ramos, Luiz Roberto
Tufik, Sergio
author_facet Mazzotti, Diego Robles
Guindalini, Camila
Moraes, Walter André dos Santos
Andersen, Monica Levy
Cendoroglo, Maysa Seabra
Ramos, Luiz Roberto
Tufik, Sergio
author_sort Mazzotti, Diego Robles
collection PubMed
description Some individuals are able to successfully reach very old ages, reflecting higher adaptation against age-associated effects. Sleep is one of the processes deeply affected by aging; however few studies evaluating sleep in long-lived individuals (aged over 85) have been reported to date. The aim of this study was to characterize the sleep patterns and biochemical profile of oldest old individuals (N = 10, age 85–105 years old) and compare them to young adults (N = 15, age 20–30 years old) and older adults (N = 13, age 60–70 years old). All subjects underwent full-night polysomnography, 1-week of actigraphic recording and peripheral blood collection. Sleep electroencephalogram spectral analysis was also performed. The oldest old individuals showed lower sleep efficiency and REM sleep when compared to the older adults, while stage N3 percentage and delta power were similar across the groups. Oldest old individuals maintained strictly regular sleep-wake schedules and also presented higher HDL-cholesterol and lower triglyceride levels than older adults. The present study revealed novel data regarding specific sleep patterns and maintenance of slow wave sleep in the oldest old group. Taken together with the favorable lipid profile, these results contribute with evidence to the importance of sleep and lipid metabolism regulation in the maintenance of longevity in humans.
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spelling pubmed-40676932014-07-09 Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile Mazzotti, Diego Robles Guindalini, Camila Moraes, Walter André dos Santos Andersen, Monica Levy Cendoroglo, Maysa Seabra Ramos, Luiz Roberto Tufik, Sergio Front Aging Neurosci Neuroscience Some individuals are able to successfully reach very old ages, reflecting higher adaptation against age-associated effects. Sleep is one of the processes deeply affected by aging; however few studies evaluating sleep in long-lived individuals (aged over 85) have been reported to date. The aim of this study was to characterize the sleep patterns and biochemical profile of oldest old individuals (N = 10, age 85–105 years old) and compare them to young adults (N = 15, age 20–30 years old) and older adults (N = 13, age 60–70 years old). All subjects underwent full-night polysomnography, 1-week of actigraphic recording and peripheral blood collection. Sleep electroencephalogram spectral analysis was also performed. The oldest old individuals showed lower sleep efficiency and REM sleep when compared to the older adults, while stage N3 percentage and delta power were similar across the groups. Oldest old individuals maintained strictly regular sleep-wake schedules and also presented higher HDL-cholesterol and lower triglyceride levels than older adults. The present study revealed novel data regarding specific sleep patterns and maintenance of slow wave sleep in the oldest old group. Taken together with the favorable lipid profile, these results contribute with evidence to the importance of sleep and lipid metabolism regulation in the maintenance of longevity in humans. Frontiers Media S.A. 2014-06-24 /pmc/articles/PMC4067693/ /pubmed/25009494 http://dx.doi.org/10.3389/fnagi.2014.00134 Text en Copyright © 2014 Mazzotti, Guindalini, Moraes, Andersen, Cendoroglo, Ramos and Tufik. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Mazzotti, Diego Robles
Guindalini, Camila
Moraes, Walter André dos Santos
Andersen, Monica Levy
Cendoroglo, Maysa Seabra
Ramos, Luiz Roberto
Tufik, Sergio
Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile
title Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile
title_full Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile
title_fullStr Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile
title_full_unstemmed Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile
title_short Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile
title_sort human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067693/
https://www.ncbi.nlm.nih.gov/pubmed/25009494
http://dx.doi.org/10.3389/fnagi.2014.00134
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