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Associations Between Sleep and Personality Factors Among Patients Living With Coronary Artery Disease
Skaraborg Hosp Skovde, Sweden.
Linköping University, Department of Medical and Health Sciences, Division of Nursing Science. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Nursing Sciences and Reproductive Health. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Regionledningskontoret, Forskningsstrategiska enheten.
2020 (English)In: Journal of Cardiovascular Nursing, ISSN 0889-4655, E-ISSN 1550-5049, Vol. 35, no 6, p. 568-575Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
LIPPINCOTT WILLIAMS & WILKINS , 2020. Vol. 35, no 6, p. 568-575
Keywords [en]
coronary artery disease; sleep; stress; type D personality
National Category
Cardiology and Cardiovascular Disease
Identifiers
URN: urn:nbn:se:liu:diva-173677DOI: 10.1097/JCN.0000000000000691ISI: 000614146400035PubMedID: 32398499OAI: oai:DiVA.org:liu-173677DiVA, id: diva2:1532543
Note

Funding Agencies|Swedish Research CouncilSwedish Research CouncilEuropean Commission [VR 2001-504-338-37]; Ostergotland County Council [F2002-218]

Available from: 2021-03-02 Created: 2021-03-02 Last updated: 2025-02-10

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