Actigraphic multi-night home-recorded sleep estimates reveal three types of sleep misperception in Insomnia Disorder and good sleepers

Bart H.W. te Lindert*, Tessa F. Blanken, Wisse P. van der Meijden, Kim Dekker, Rick Wassing, Ysbrand D. van der Werf, Jennifer R. Ramautar, Eus J.W. Van Someren

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

People with Insomnia Disorder tend to underestimate their sleep compared with polysomnography or actigraphy, a phenomenon known as paradoxical insomnia or sleep-state misperception. Previous studies suggested that night-to-night variability could be an important feature differentiating subtypes of misperception. This study aimed for a data-driven definition of misperception subtypes revealed by multiple sleep features including night-to-night variability. We assessed features describing the mean and dispersion of misperception and objective and subjective sleep duration from 7-night diary and actigraphy recordings of 181 people with Insomnia Disorder and 55 people without sleep complaints. A minimally collinear subset of features was submitted to latent class analysis for data-driven subtyping. Analysis revealed three subtypes, best discriminated by three of five selected features: an individual’s shortest reported subjective sleep duration; and the mean and standard deviation of misperception. These features were on average 5.4, −0.0 and 0.5 hr in one subtype accommodating the majority of good sleepers; 4.1, −1.4 and 1.0 hr in a second subtype representing the majority of people with Insomnia Disorder; and 1.7, −2.2 and 1.5 hr in a third subtype representing a quarter of people with Insomnia Disorder and hardly any good sleepers. Subtypes did not differ on an individual’s objective sleep duration mean (6.9, 7.2 and 6.9 hr) and standard deviation (0.8, 0.8 and 0.9 hr). Data-driven analysis of naturalistic sleep revealed three subtypes that markedly differed in misperception features. Future studies may include misperception subtype to investigate whether it contributes to the unexplained considerable individual variability in treatment response.

Original languageEnglish
Article numbere12937
Pages (from-to)1-9
Number of pages9
JournalJournal of Sleep Research
Volume29
Issue number1
Early online date31 Oct 2019
DOIs
Publication statusPublished - Feb 2020

Funding

This work was supported by Project NeuroSIPE 10738, of the Dutch Technology Foundation STW, which is part of the Netherlands Organization for Scientific Research (NWO) and partly funded by the Ministry of Economic Affairs, Agriculture and Innovation; by the Bial Foundation grants 190/16 and 252/12; and by the European Research Council (ERC) grants ERC‐2014‐AdG‐671084 INSOMNIA and ERC‐2016‐PoC‐737634‐INSOMNIA BEAT IT.

FundersFunder number
ERC-2014-AdG-671084 INSOMNIA
ERC-2016-PoC-737634-INSOMNIA BEAT
Ministry of Economic Affairs, Agriculture and Innovation
Netherlands Organization for Scientific Research
Horizon 2020 Framework Programme671084, 737634
European Research Council
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Stichting voor de Technische Wetenschappen
Fundação Bial252/12, 190/16
Ministerie van Economische Zaken, Landbouw en Innovatie

    Keywords

    • clustering analysis
    • objective insomnia
    • subjective insomnia
    • subjective−objective sleep discrepancy

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