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Associations Between Sleep and Personality Factors Among Patients Living With Coronary Artery Disease
Research and Development Centre, Skaraborg Hospital, Skövde, Sweden.ORCID-id: 0000-0002-7861-7735
Department of Medical and Health Sciences, Division of Nursing Sciences, Faculty of Health Sciences, Linköping University, Sweden.
Research & Development Unit, and Department of Medicine and Health Sciences, Linköping University, Sweden.
2020 (engelsk)Inngår i: Journal of Cardiovascular Nursing, ISSN 0889-4655, E-ISSN 1550-5049, Vol. 35, nr 6, s. 568-575Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

BACKGROUND: Insomnia symptoms have become increasingly common in patients with coronary artery disease (CAD). Increasing evidence suggests comorbidity between personality traits and health status. Considering personality traits may act as a predisposition for future illness; this state may influence sleep quality and it appears to precipitate cardiac events in high-risk patients.

OBJECTIVE: The aim of this study was to investigate self-reported sleep deficiency in relation to vicious cycle of sleeplessness (VCS) behavior, hyperarousal behavioral trait (H-personality), and type D personality traits in patients with CAD and in a population-based group. Furthermore, our aim was to explore the association of VCS behavior with H-personality trait and type D personality. Finally, we investigated to what extent type D personality can explain self-reported too little sleep in patients with CAD.

METHODS: An observational case-control design was applied comprising 859 patients in cardiac outpatient care and 859 participants from a population-based group. Questionnaires assessing VCS behavior, H-personality, type D personality, and perceptions of too little sleep were used.

RESULTS: Statistically significant higher scores of a hyperarousal and sleeplessness behavior were revealed for those with too little sleep compared with those with sufficient sleep in both the patient and the population-based group. Age, female gender, or sleeplessness behavior significantly predicted too little sleep (P < .001).

CONCLUSIONS: The current study highlights the advantage of studying heterogeneity in patients with CAD from a person-centered perspective with focus to identify distressed individuals in order to prevent or treat sleep deficiency. A cluster of factors may be a more accurate predictor of patient-reported outcomes than a single psychosocial factor.

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Wolters Kluwer, 2020. Vol. 35, nr 6, s. 568-575
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URN: urn:nbn:se:his:diva-19405DOI: 10.1097/JCN.0000000000000691PubMedID: 32398499Scopus ID: 2-s2.0-85092945742OAI: oai:DiVA.org:his-19405DiVA, id: diva2:1518794
Merknad

Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved. Correspondence Anna Kjellsdotter, PhD, RN, Research and Development Centre, Skaraborg Hospital Skövde, SE-541 85 Skövde, Sweden (anna.kjellsdotter@vgregion.se)

Tilgjengelig fra: 2021-01-17 Laget: 2021-01-17 Sist oppdatert: 2025-02-10bibliografisk kontrollert

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