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.
| Original language | English |
|---|---|
| Pages (from-to) | 71-81 |
| Number of pages | 11 |
| Journal | Sleep Medicine Reviews |
| Volume | 36 |
| DOIs | |
| Publication status | Published - Dec 2017 |
Funding
This work was supported by the Netherlands Organization for Scientific Research (NWO), The Hague, The Netherlands (VICI innovation grant number 453-07-001 ); the Dutch Technology Foundation STW , which is the applied science division of NWO, and the Technology Programme of the Ministry of Economic Affairs (Perspective Programs NeuroSIPE, project 10738 and OnTime, project 12188); the FP7-PEOPLE-ITN-2008 Marie Curie Actions Networks for Initial Training (ITN) funding scheme, grant number 238665 , project Neuroendocrine Immune Networks in Ageing (NINA); and by the European Research Council (ERC-ADG-2014-671084 INSOMNIA). We would like to express our gratitude to Nico Veenman for advice, brainstorm sessions, and generally sharing knowledge on a myriad of information technology topics along the whole process of building the Sleep registry. Moreover, we are very thankful and appreciate all (continued) efforts taken by international colleagues Iuliana Hartescu, Jacob Itzhacki, Corrado Garbazza, Michał Jarkiewicz, Teresa Rebelo Pinto, Joy Perrier, Noemi Tesler, Tina Sundelin, Kai Spiegelhalder, Lyudmila Korostovtseva, Marija Bakotic, Laura Palagini, and Katerina Nikalopoulou in translating the Sleep registry to English, Spanish, Italian, Polish, Portugese, French, German, Swedish, Russian, Croatian and Greek to be able to facilitate cross-cultural comparison and cooperation. The study was performed at the Department of Sleep and Cognition, Netherlands Institute for Neuroscience. This work was supported by the Netherlands Organization for Scientific Research (NWO), The Hague, The Netherlands (VICI innovation grant number 453-07-001); the Dutch Technology Foundation STW, which is the applied science division of NWO, and the Technology Programme of the Ministry of Economic Affairs (Perspective Programs NeuroSIPE, project 10738 and OnTime, project 12188); the FP7-PEOPLE-ITN-2008 Marie Curie Actions Networks for Initial Training (ITN) funding scheme, grant number 238665, project Neuroendocrine Immune Networks in Ageing (NINA); and by the European Research Council (ERC-ADG-2014-671084 INSOMNIA). We would like to express our gratitude to Nico Veenman for advice, brainstorm sessions, and generally sharing knowledge on a myriad of information technology topics along the whole process of building the Sleep registry. Moreover, we are very thankful and appreciate all (continued) efforts taken by international colleagues Iuliana Hartescu, Jacob Itzhacki, Corrado Garbazza, Michał Jarkiewicz, Teresa Rebelo Pinto, Joy Perrier, Noemi Tesler, Tina Sundelin, Kai Spiegelhalder, Lyudmila Korostovtseva, Marija Bakotic, Laura Palagini, and Katerina Nikalopoulou in translating the Sleep registry to English, Spanish, Italian, Polish, Portugese, French, German, Swedish, Russian, Croatian and Greek to be able to facilitate cross-cultural comparison and cooperation. The study was performed at the Department of Sleep and Cognition, Netherlands Institute for Neuroscience.
| Funders | Funder number |
|---|---|
| FP7-PEOPLE-ITN-2008 Marie Curie Actions | |
| Neuroendocrine Immune Networks in Ageing | |
| Horizon 2020 Framework Programme | 238665, 671084, 737634 |
| European Research Council | ERC-ADG-2014-671084 INSOMNIA |
| Ministerie van Economische Zaken | 10738, 12188 |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | 453-07-001 |
| Stichting voor de Technische Wetenschappen | |
| Norsk institutt for naturforskning | |
| Nederlands Herseninstituut |
Keywords
- Journal Article
- Review