A systematic review of the validity of non-invasive sleep-measuring devices in mid-to-late life adults: Future utility for Alzheimer's disease research.


Journal

Sleep medicine reviews
ISSN: 1532-2955
Titre abrégé: Sleep Med Rev
Pays: England
ID NLM: 9804678

Informations de publication

Date de publication:
10 2022
Historique:
received: 14 01 2022
revised: 21 06 2022
accepted: 23 06 2022
pubmed: 9 10 2022
medline: 19 10 2022
entrez: 8 10 2022
Statut: ppublish

Résumé

Changes in sleep during mid-to-late life are associated with risk for Alzheimer's disease (AD). Mechanistic understanding of this association necessitates measurement tools able to quantify these sleep changes longitudinally and accurately. We conducted a systematic review with meta-analysis of validity studies of non-invasive sleep-measuring devices published since 2015 that record sleep metrics associated with AD in adults over 40 (mean 52.9, SD 6.1 years). We reviewed 52 studies, including 32 wearable and ten non-wearable single or multi-sensor devices validated against polysomnography (minimum one night). The apnoea hypopnoea index and oxygen desaturation index were accurately measured across devices. Total sleep time and sleep efficiency were significantly overestimated (p < 0.001) by mean 33.2 minutes and 7.6%, respectively. Slow wave sleep duration was inaccurately measured except by a headband device with electroencephalography. There was no significant difference in accuracy between participants with and without sleep disorders. Studies were undermined by high risk of bias from closed-access algorithms and classification thresholds, and incomplete reporting of accuracy data. Only one study investigated slow wave activity, and none investigated sleep spindles. Nonetheless, we have identified devices that could be used in future studies of sleep and AD risk and discuss some of the limitations of available research.

Identifiants

pubmed: 36208588
pii: S1087-0792(22)00078-8
doi: 10.1016/j.smrv.2022.101665
pii:
doi:

Substances chimiques

Oxygen S88TT14065

Types de publication

Journal Article Meta-Analysis Review Systematic Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101665

Subventions

Organisme : Department of Health
Pays : United Kingdom
Organisme : Medical Research Council
Pays : United Kingdom

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None declared.

Auteurs

Sebastian Francis Green (SF)

Bristol Medical School, University of Bristol, Bristol, UK; Department of Neurology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK; Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, USA. Electronic address: sg1743@bristol.ac.uk.

Tory Frame (T)

Department of Computer Science, University of Bath, Bath, UK.

Luke Vikram Banerjee (LV)

Bristol Medical School, University of Bristol, Bristol, UK.

Amy Gimson (A)

Department of Neurology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK.

Jonathan Blackman (J)

Bristol Medical School, University of Bristol, Bristol, UK; Department of Neurology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK.

Hamish Morrison (H)

Bristol Medical School, University of Bristol, Bristol, UK; Department of Neurology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK.

Katie Lloyd (K)

Bristol Medical School, University of Bristol, Bristol, UK; Department of Neurology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK.

Sarah Rudd (S)

Library and Knowledge Service, Southmead Hospital, North Bristol NHS Trust, Bristol, UK.

William George Frederick Fotherby (WG)

Manchester Metropolitan University, Manchester, UK.

Ullrich Bartsch (U)

UK Dementia Research Institute, Care Research & Technology Centre, Imperial College London and University of Surrey, Guildford, UK; Surrey Sleep Research Centre, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.

Shaun Purcell (S)

Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Harvard University, USA.

Matt Jones (M)

School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK.

Liz Coulthard (L)

Bristol Medical School, University of Bristol, Bristol, UK; Department of Neurology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK. Electronic address: Elizabeth.coulthard@bristol.ac.uk.

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Classifications MeSH