Key result
Age, female gender, and sleeplessness behavior significantly predicted self-reported too little sleep in both patients with coronary artery disease and a population-based group (P < .001).
Why the study?
Insomnia symptoms are increasingly common in CAD, and personality traits may influence sleep quality and precipitate cardiac events.
Are personality traits (hyperarousal, type D) and sleeplessness behavior associated with self-reported sleep deficiency in patients with CAD compared to a population-based group?
Case-Control (n=1,718)
Are personality traits (hyperarousal, type D) and sleeplessness behavior associated with self-reported sleep deficiency in patients with CAD compared to a population-based group?
Sleeplessness behavior, hyperarousal, age, and female gender are significant predictors of self-reported sleep deficiency in patients with CAD, highlighting the need for person-centered assessment of psychosocial factors.
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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Kjellsdotter et al. (2020) conducted a case-control in Coronary artery disease (CAD) (n=1,718). Sleeplessness behavior, hyperarousal trait, and type D personality vs. Absence of traits / sufficient sleep was evaluated on Self-reported too little sleep (p=<.001). Age, female gender, and sleeplessness behavior significantly predicted self-reported too little sleep in both patients with coronary artery disease and a population-based group (P < .001).
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