Sleep and Dementia

Vaou, Okeanis; Lin, Shih Hao; Branson, Chantale; Auerbach, S. H.

doi:10.1007/s40675-018-0112-9

Cited by 14 publications

(9 citation statements)

References 66 publications

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“…Recent attempts to establish sleep as a novel biomarker and treatment target for Alzheimer's disease have instantly evoked a massive rise in research on sleep and aging (Ju et al, ; Mander et al, ; Noble & Spires‐Jones, ; Vaou et al, ). Methodological considerations, though, call for a clarification of what we want to measure and how we can best assess the respective phenomena.…”

Section: Resultsmentioning

confidence: 99%

“…In search of novel biomarkers and treatment targets for age‐related pathologies, sleep has recently attracted much attention. Disrupted sleep represents one of the earliest symptoms of Alzheimer's disease (Lim, Kowgier, Yu, Buchman, & Bennett, ; Lucey et al, ), but might also potentiate, accelerate, or even cause cognitive pathology in old age (Shokri‐Kojori et al, ; Vaou, Lin, Branson, & Auerbach, ). Because of the assumed bidirectional relationship between sleep and Alzheimer's pathology (Ju, Lucey, & Holtzman, ; Mander, Winer, Jagust, & Walker, ; Noble & Spires‐Jones, ; Vaou et al, ; Winer et al, ), studying the interrelations between sleep and neurocognitive aging has become increasingly popular.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the interplay of sleep and aging: Methodological challenges

Muehlroth

Werkle‐Bergner

2020

Psychophysiology

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This is an open access article under the terms of the Creat ive Commo ns Attri butio n-NonCo mmerc ial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. AbstractIn quest of new avenues to explain, predict, and treat pathophysiological conditions during aging, research on sleep and aging has flourished. Despite the great scientific potential to pinpoint mechanistic pathways between sleep, aging, and pathology, only little attention has been paid to the suitability of analytic procedures applied to study these interrelations. On the basis of electrophysiological sleep and structural brain data of healthy younger and older adults, we identify, illustrate, and resolve methodological core challenges in the study of sleep and aging. We demonstrate potential biases in common analytic approaches when applied to older populations.We argue that uncovering age-dependent alterations in the physiology of sleep requires the development of adjusted and individualized analytic procedures that filter out age-independent interindividual differences. Age-adapted methodological approaches are thus required to foster the development of valid and reliable biomarkers of age-associated cognitive pathologies. K E Y W O R D Saging, Alzheimer, automated event detection, polysomnography, sleep, slow oscillations, spindles Note: Z and p values were derived from nonparametric Mann-Whitney U tests comparing sleep parameters between younger and older adults. Sleep stage percentages are calculated as proportions of TST.Abbreviations: CI, confidence interval; qrt, quartile; REM, rapid eye movement sleep; SWS, slow-wave sleep; TST, total sleep time; WASO, wake after sleep onset (i.e., time awake between sleep onset and final morning awakening).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding the interplay of sleep and aging: Methodological challenges

Muehlroth

Werkle‐Bergner

2020

Psychophysiology

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“…Recent attempts to establish sleep as a novel biomarker and treatment target for Alzheimer's disease have instantly evoked a massive rise in research on sleep and aging (Ju et al, 2014;Mander et al, 2016;Noble and Spires-Jones, 2019;Vaou et al, 2018). Methodological considerations, though, call for a clarification of what we want to measure and how we can best assess the respective phenomena.…”

Section: Resultsmentioning

confidence: 99%

“…In search of novel biomarkers and treatment targets for age-related pathologies, sleep has recently attracted much attention. Disrupted sleep represents one of the earliest symptoms of Alzheimer's disease (Lim et al, 2013;Lucey et al, 2019), but might also potentiate, accelerate, or even cause cognitive pathology in old age (Shokri-Kojori et al, 2018;Vaou et al, 2018). Because of the assumed bidirectional relationship between sleep and Alzheimer's pathology (Ju et al, 2014;Mander et al, 2016;Noble and Spires-Jones, 2019;Vaou et al, 2018;Winer et al, 2019), studying the interrelations between sleep and neurocognitive aging has become increasingly popular.…”

Section: Introductionmentioning

confidence: 99%

Understanding the interplay of sleep and aging: Methodological challenges

Muehlroth

Werkle‐Bergner

2019

Preprint

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In quest of new avenues to explain, predict, and treat pathophysiological conditions during aging, research on sleep and aging has flourished. Despite the great scientific potential to pinpoint mechanistic pathways between sleep, aging, and pathology, only little attention has been paid to the suitability of analytic procedures applied to study these interrelations. On the basis of electrophysiological sleep and structural brain data of healthy younger and older adults, we identify, illustrate, and resolve methodological core challenges in the study of sleep and aging. We demonstrate potential biases in common analytic approaches when applied to older populations. We argue that uncovering age‐dependent alterations in the physiology of sleep requires the development of adjusted and individualized analytic procedures that filter out age‐independent interindividual differences. Age‐adapted methodological approaches are thus required to foster the development of valid and reliable biomarkers of age‐associated cognitive pathologies.

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“…For example, in the elderly with normal cognition, amyloid deposits measured by positron emission tomography (PET) and Aβ42 levels in cerebrospinal fluid increased with self-reported decreasing sleep duration, 41 excessive daytime sleep, 42 longer sleep latency, 43 , 44 and poorer sleep quality. 45 , 46 On the other hand, sleep deprivation increases the production of amyloid-β and reduces its clearance, 47 which leads to a higher risk of cognitive impairment. 48–51 …”

Section: Introductionmentioning

confidence: 99%

Sleep Quality Partially Mediate the Relationship Between Depressive Symptoms and Cognitive Function in Older Chinese: A Longitudinal Study Across 10 Years

Guo

Zhang

Wang

et al. 2022

PRBM

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Objective This study aimed to examine the relationship between cognitive function and depressive symptoms and to explore the mediating role of sleep quality in the cognition-depression relationship in Chinese older adults (OAs). Methods Data came from a nationally representative sample of 16,209 Chinese OAs (aged 65+) from 2008, 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A random intercept cross-lagged panel model (RI-CLPM) combined with mediation analysis was adopted to determine the relationship between cognitive function and depressive symptoms and the mediating effect of sleep quality on the ascertained cognition–depression relationship. Results Poorer cognitive function at prior assessment points were significantly associated with severe depressive symptoms at subsequent assessments, and vice versa. Sleep quality partially mediated the prospective relationship of cognition on depressive symptoms, which accounted for 3.92% of the total effect of cognition on depression. Discussion Cognitive decline may predict subsequent depressive symptoms, and vice versa. The impact of cognition on depression is partially explained by its influence on sleep quality. Multidisciplinary interventions aimed at reducing depression and cognitive decline per se as well as improving sleep quality would be beneficial for emotional well-being and cognitive health in OAs.

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Sleep and Dementia

Cited by 14 publications

References 66 publications

Understanding the interplay of sleep and aging: Methodological challenges

Understanding the interplay of sleep and aging: Methodological challenges

Understanding the interplay of sleep and aging: Methodological challenges

Sleep Quality Partially Mediate the Relationship Between Depressive Symptoms and Cognitive Function in Older Chinese: A Longitudinal Study Across 10 Years

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