Literature DB >> 29066053

Insomnia heterogeneity: Characteristics to consider for data-driven multivariate subtyping.

Jeroen S Benjamins1, Filippo Migliorati2, Kim Dekker3, Rick Wassing3, Sarah Moens3, Tessa F Blanken3, Bart H W Te Lindert3, Jeffrey Sjauw Mook3, Eus J W Van Someren4.   

Abstract

Meta-analyses and systematic reviews have reported surprisingly few consistent insomnia-characteristics with respect to cognitions, mood, traits, history of life events and family history. One interpretation of this limited consistency is that different subtypes of insomnia exist, each with its own specific multivariate profile of characteristics. Because previously unrecognized subtypes will be differentially represented in individual studies and dilute effect sizes of subtype-dependent characteristics of importance, they are unlikely to be reported consistently in individual studies, let alone in meta-analyses. This review therefore aims to complement meta-analyses by listing previously reported psychometric characteristics of insomnia, irrespective of the degree of consistency over studies. The review clearly indicates that characteristics of insomnia may not be limited to sleep. Reports suggest that at least some individuals with insomnia may deviate from people without sleep complaints with respect to demographics, mental and physical health, childhood trauma, life events, fatigue, sleepiness, hyperarousal, hyperactivity, other sleep disorders, lifetime sleep history, chronotype, depression, anxiety, mood, quality of life, personality, happiness, worry, rumination, self-consciousness, sensitivity, dysfunctional beliefs, self-conscious emotion regulation, coping, nocturnal mentation, wake resting-state mentation, physical activity, food intake, temperature perception and hedonic evaluation. The value of this list of characteristics is that 1) internet has now made it feasible to asses them all in a large sample of people suffering from insomnia, and 2) statistical methods like latent class analysis and community detection can utilize them for a truly bottom-up data-driven search for subtypes. The supplement to this review provides a blueprint of this multivariate approach as implemented in the Sleep registry platform (www.sleepregistry.nl), that allows for bottom-up subtyping and fosters cross-cultural comparison and worldwide collaboration on insomnia subtype finding - and beyond.
Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Disease history; Insomnia; Internet; Latent class analysis; Life events; Multivariate methodology; Phenotype; Questionnaires; Subtype; Traits

Mesh:

Year:  2016        PMID: 29066053     DOI: 10.1016/j.smrv.2016.10.005

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  33 in total

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Authors:  Carla Vanti; Federico Banchelli; Claudia Marino; Andrea Puccetti; Andrew A Guccione; Paolo Pillastrini
Journal:  Phys Ther       Date:  2019-09-01

Review 2.  The impact of stress on sleep: Pathogenic sleep reactivity as a vulnerability to insomnia and circadian disorders.

Authors:  David A Kalmbach; Jason R Anderson; Christopher L Drake
Journal:  J Sleep Res       Date:  2018-05-24       Impact factor: 3.981

3.  Sustained effects of prior red light on pupil diameter and vigilance during subsequent darkness.

Authors:  Wisse P van der Meijden; Bart H W Te Lindert; Jennifer R Ramautar; Yishul Wei; Joris E Coppens; Maarten Kamermans; Christian Cajochen; Patrice Bourgin; Eus J W Van Someren
Journal:  Proc Biol Sci       Date:  2018-07-18       Impact factor: 5.349

4.  Is behavioral insomnia "purely behavioral"?

Authors:  Oliviero Bruni; Lourdes DelRosso; Maria P Mogavero; Raffaele Ferri
Journal:  J Clin Sleep Med       Date:  2022-05-01       Impact factor: 4.324

5.  Profiles of Subjective Daytime Sleepiness through Cluster Analysis.

Authors:  Daniel Ruivo Marques; Ana Allen Gomes; Maria Helena Pinto de Azevedo
Journal:  Psychiatr Q       Date:  2020-03

6.  Blocking nocturnal blue light for insomnia: A randomized controlled trial.

Authors:  Ari Shechter; Elijah Wookhyun Kim; Marie-Pierre St-Onge; Andrew J Westwood
Journal:  J Psychiatr Res       Date:  2017-10-21       Impact factor: 4.791

7.  Reply to Hua Liu, HaiCun Shi and PingLei Pan: Coordinate based meta-analyses in a medium sized literature: Considerations, limitations and road ahead.

Authors:  Masoud Tahmasian; Mojtaba Zarei; Khadijeh Noori; Habibolah Khazaie; Fateme Samea; Kai Spiegelhalder; Simon B Eickhoff; Eus Van Someren; Claudia R Eickhoff
Journal:  Sleep Med Rev       Date:  2018-08-26       Impact factor: 11.609

8.  Data-Driven Forecasting of Agitation for Persons with Dementia: A Deep Learning-Based Approach.

Authors:  SeyyedPooya HekmatiAthar; Hilda Goins; Raymond Samuel; Grace Byfield; Mohd Anwar
Journal:  SN Comput Sci       Date:  2021-06-05

9.  Sleep difficulties, incident dementia and all-cause mortality among older adults across 8 years: Findings from the National Health and Aging Trends Study.

Authors:  Rebecca Robbins; Matthew D Weaver; Laura K Barger; Wei Wang; Stuart F Quan; Charles A Czeisler
Journal:  J Sleep Res       Date:  2021-06-02       Impact factor: 5.296

10.  The Different Faces of Insomnia.

Authors:  Ingo Fietze; Naima Laharnar; Volker Koellner; Thomas Penzel
Journal:  Front Psychiatry       Date:  2021-06-29       Impact factor: 4.157

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