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Insomnia heterogeneity: Characteristics to consider for data-driven multivariate subtyping.
Benjamins, Jeroen S; Migliorati, Filippo; Dekker, Kim; Wassing, Rick; Moens, Sarah; Blanken, Tessa F; Te Lindert, Bart H W; Sjauw Mook, Jeffrey; Van Someren, Eus J W.
Afiliação
  • Benjamins JS; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands; Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, The Netherlands; Department of Experimen
  • Migliorati F; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands; Social Brain Lab, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Ams
  • Dekker K; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.
  • Wassing R; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.
  • Moens S; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.
  • Blanken TF; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.
  • Te Lindert BHW; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.
  • Sjauw Mook J; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.
  • Van Someren EJW; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience Amsterdam, VU University
Sleep Med Rev ; 36: 71-81, 2017 12.
Article em En | MEDLINE | ID: mdl-29066053
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Personalidade / Inquéritos e Questionários / Fadiga / Distúrbios do Início e da Manutenção do Sono / Estilo de Vida Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Sleep Med Rev Assunto da revista: MEDICINA Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Personalidade / Inquéritos e Questionários / Fadiga / Distúrbios do Início e da Manutenção do Sono / Estilo de Vida Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Sleep Med Rev Assunto da revista: MEDICINA Ano de publicação: 2017 Tipo de documento: Article