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 Experimental Psychology, Utrecht University, Utrecht, The Netherlands.
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, Amsterdam, The Netherlands.
Sleep Med Rev. 2017 Dec;36:71-81. doi: 10.1016/j.smrv.2016.10.005. Epub 2016 Nov 9.
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.
元分析和系统评价报告称,认知、情绪、特质、生活事件史和家族史方面的失眠特征一致性令人惊讶地很少。对这种一致性有限的一种解释是,存在不同的失眠亚型,每个亚型都有其特定的多维特征谱。由于以前未被识别的亚型在个体研究中会有不同的表现,并且会稀释重要的亚型依赖性特征的效应大小,因此它们不太可能在个体研究中一致报告,更不用说在荟萃分析中了。因此,本综述旨在通过列出以前报告的失眠症的心理测量特征来补充荟萃分析,而不论研究之间的一致性程度如何。该综述清楚地表明,失眠症的特征可能不仅限于睡眠。报告表明,至少一些失眠症患者在人口统计学、心理健康和身体健康、儿童创伤、生活事件、疲劳、嗜睡、过度警觉、多动、其他睡眠障碍、终身睡眠史、昼夜节律、抑郁、焦虑、情绪、生活质量、个性、幸福感、担忧、沉思、自我意识、敏感性、功能失调信念、自我意识情绪调节、应对、夜间心理活动、觉醒静息状态心理活动、身体活动、食物摄入、温度感知和愉悦评估方面可能与无睡眠抱怨的人不同。这些特征列表的价值在于:1)互联网现在已经可以在大量患有失眠症的人群中评估所有这些特征;2)像潜在类别分析和社区检测这样的统计方法可以利用它们来真正进行基于数据的、自下而上的亚型搜索。本综述的补充内容提供了这种多元方法的蓝图,该方法在睡眠登记平台(www.sleepregistry.nl)中实施,允许进行自下而上的亚型划分,并促进跨文化比较和全球合作,以发现失眠症亚型——以及超越这些。