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Content analysis of insomnia questionnaires: a step to better evaluate the complex and multifaceted construct of insomnia disorder

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dc.contributor.authorCoelho, Julien
dc.contributor.authorSánchez Ortuño, María Montserrat
dc.contributor.authorMartin, Vicent P.
dc.contributor.authorGauld, Christophe
dc.contributor.authorRichaud, Alexandre
dc.contributor.authorLopez, Régis
dc.contributor.authorPelou, Marie
dc.contributor.authorAbi Saab, Poeiti
dc.contributor.authorPhilip, Pierre
dc.contributor.authorGeoffroy, Pierre Alexis
dc.contributor.authorPalagini, Laura
dc.contributor.authorMicoulaud Franchi, Jean Arthur
dc.contributor.departmentEnfermería
dc.date.accessioned2025-01-14T09:28:18Z
dc.date.available2025-01-14T09:28:18Z
dc.date.issued2023-12
dc.description© 2023 Elsevier B.V. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This document is the Published version of a Published Work that appeared in final form in Psychiatry Research. To access the final edited and published work see https://doi.org/10.1016/j.psychres.2023.115584es
dc.description.abstractInsomnia disorder is a mental disorder that includes various types of symptoms (e.g., insomnia initiating, worries, mood disturbances) and impairments (e.g., distress related to sleep alterations). Self-report questionnaires are the most common method for assessing insomnia but no systematic quantified analysis of their content and overlap has been carried out. We used content analysis and a visualization method to better identify the different types of clinical manifestations that are investigated by nine commonly used insomnia questionnaires for adults and the Jaccard index to quantify the degree to which they overlap. Content analysis found and visualized 16 different clinical manifestations classified into five dimensions (“Insomnia symptoms”, “Insomnia-related symptoms”, “Daytime symptoms”, “Insomnia-related impairments”, “Sleep behaviors”). The average Jaccard Index was 0.409 (moderate overlap in content). There is a lack of distinction between symptoms and impairments, and the assessment of sleep duration and hyperarousal symptoms remains overlooked. This preliminary analysis makes it possible to visualize the content of each of the nine questionnaires and to select the most appropriate questionnaire based on the issue to be addressed. Suggestions are made regarding the development of future questionnaires to better distinguish symptoms and impairments, and the different phenotypes of insomnia disorder.es
dc.formatapplication/pdfes
dc.format.extent13es
dc.identifier.citationPsychiatry Research, 2023, Vol. 330 : 115584
dc.identifier.doihttps://doi.org/10.1016/j.psychres.2023.115584
dc.identifier.issnElectronic: 2399-5300
dc.identifier.urihttp://hdl.handle.net/10201/148393
dc.languageenges
dc.publisherOxford University Presses
dc.relationMMSO was supported by an award from the European Union, Next Generation EU, for the re-training of university professors.es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0165178123005346?via%3Dihubes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectInsomniaes
dc.subjectMental disorderses
dc.subjectSelf-report questionnaireses
dc.subjectContent analysises
dc.subjectSymptom overlapes
dc.titleContent analysis of insomnia questionnaires: a step to better evaluate the complex and multifaceted construct of insomnia disorderes
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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