Insomnia and Personality-A Network Approach

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Studies on personality traits and insomnia have remained inconclusive about which traits show the most direct associations with insomnia severity. It has moreover hardly been explored how traits relate to specific characteristics of insomnia. We here used network analysis in a large sample (N= 2089) to obtain an integrated view on the associations of personality traits with both overall insomnia severity and different insomnia characteristics, while distinguishing direct from indirect associations. We first estimated a network describing the associations among the five factor model personality traits and overall insomnia severity. Overall insomnia severity was associated with neuroticism, agreeableness, and openness. Subsequently, we estimated a separate network describing the associations among the personality traits and each of the seven individual items of the Insomnia Severity Index. This revealed relatively separate clusters of daytime and nocturnal insomnia complaints, that both contributed to dissatisfaction with sleep, and were both most directly associated with neuroticism and conscientiousness. The approach revealed the strongest direct associations between personality traits and the severity of different insomnia characteristics and overall insomnia severity. Differentiating them from indirect associations identified the targets for improving Cognitive Behavioral Therapy for insomnia with the highest probability of effectively changing the network of associated complaints.

Original languageEnglish
Article number28
JournalBrain sciences
Volume7
Issue number3
DOIs
Publication statusPublished - 2 Mar 2017

Funding

Support was provided 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 Program of the Ministry of Economic Affairs (Perspective Program OnTime, project 12188; and by the European Research Council (ERC-ADG-2014-671084 INSOMNIA).

FundersFunder number
Ministerie van Economische Zaken
Stichting voor de Technische Wetenschappen
Nederlandse Organisatie voor Wetenschappelijk Onderzoek12188, 453-07-001
European Research CouncilERC-ADG-2014-671084 INSOMNIA
Horizon 2020 Framework Programme671084

    Keywords

    • Journal Article

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