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dc.contributor.authorPorcheret, Kate Louise
dc.contributor.authorHopstock, Laila Arnesdatter
dc.contributor.authorNilsen, Kristian Bernhard
dc.date.accessioned2024-10-07T12:46:59Z
dc.date.available2024-10-07T12:46:59Z
dc.date.issued2024-05-03
dc.description.abstractInsomnia disorder is a subjective complaint of sleep dissatisfaction including both night-time and daytime symptoms. Currently there are three commonly used diagnostic manuals each with their own set of criteria, which is often credited for the wide range in insomnia prevalence reported by population-based studies, especially those with self-reported insomnia. However, there are limited studies directly comparing different criteria and little is known about associations with health outcomes. Thus, the aim of this study was to compare the most commonly used diagnostic criteria for insomnia from the literature and to explore the associations with a range of physical and mental health outcomes. We used data from 21,083 women and men from the seventh survey of the population-based Tromsø Study which included adults aged 40–99 years. A revised version of the Bergen Insomnia Scale was used to define insomnia based on the 4th (revised) and 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR and DSM5), the 10th edition of the International Classification of Diseases (ICD-10), and the 3rd edition of the International Classification of Sleep Disorders (ICSD-3). We found the following prevalence of insomnia: DSM-IV-TR 23.6 %, DSM5 8.5 %, ICD-10 9.9 % and ICSD-3 20.0 %. When looking at each symptom, we found over half the participants classified as having insomnia using the DSM-IV-TR and ICSD-3 criteria did not report having impaired daytime functioning at least three days per week. Overall, participants with DSM5 and ICD-10 insomnia appeared to have worse health profiles, based on a higher percentage meeting the cut-off for possible anxiety or depression, reporting a psychological problem or chronic pain, and using antidepressants, painkillers or sleeping pills. However logistic regression models showed largely the same health factors had the same association with the odds for being classified as having insomnia disorder from each set of criteria. Overall, this study suggests that insomnia prevalence may be overestimated if daytime symptoms are not adequately included in accordance with current guidelines.en_US
dc.identifier.citationPorcheret, Hopstock, Nilsen. Prevalence of insomnia in a general adult population cohort using different diagnostic criteria: The seventh survey of the Tromsø study 2015–2016. Sleep Medicine. 2024;119:289-295en_US
dc.identifier.cristinIDFRIDAID 2269667
dc.identifier.doi10.1016/j.sleep.2024.05.002
dc.identifier.issn1389-9457
dc.identifier.issn1878-5506
dc.identifier.urihttps://hdl.handle.net/10037/35090
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalSleep Medicine
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/801133/Norway/SCIENTIA-FELLOWS II: International Postdoctoral Fellowship Programme/SCIENTIA-FELLOWSII/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titlePrevalence of insomnia in a general adult population cohort using different diagnostic criteria: The seventh survey of the Tromsø study 2015–2016en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
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