Investigation of the Sleep Quality Among Hospitalized Cardiovascular Patients Using Regression Models and Qualitative Comparative Analysis. (March 2023)

• Record Type: Journal Article
• Authors: Guo, Xinmeng; Qin, Zeying; Meng, Cuicui; Lv, Jianping; Hu, Yueyang; Fei, Junsong; Liang, Leilei; Li, Jingyang; Yuan, Tongshuang; Mei, Songli; Tong, Qian
• Is Part Of: Clinical nursing research. Volume 32:Number 3(2023)
• Page Start: 580
• Page End: 588
• Publication Date: 2023-03
• Subjects: cardiovascular disease -- sleep quality -- mental health -- qualitative comparative analysis -- hierarchical regression model; Nursing -- Research -- Periodicals; Nursing -- Periodicals; Clinical medicine -- Research -- Periodicals; 610.73
• DOI: 10.1177/10547738221148150
• Languages: English
• ISSNs: 1054-7738

Abstract

This study aimed to explore the relationships between modifiable and non-modifiable factors that influence sleep quality in hospitalized patients with cardiovascular disease in China. This study design was cross-sectional and descriptive. This study involved a convenience sample of 242 patients hospitalized for cardiovascular issues. Hierarchical regression model and qualitative comparative analysis model were performed. Regression revealed that age and depression both had statistically significant effects on sleep quality. The combination of conditions with strongest predictive effect on sleep quality was male of younger age, high level of depression, high level of anxiety, and low level of social support. Other combinations with predictive power on sleep quality are as follows: (1) younger male patients (aged 47–63 years) with high level of anxiety, high level of social support, and low level of depression; (2) older male patients (aged 63–79 years) with high level of depression, high level of social support, and low levels of anxiety; and (3) older male patients with high level of anxiety and low level of social support. Nurses may promote primary and secondary prevention of cardiovascular health prior to hospitalization, through routine screening for depressive and anxious symptoms and assessment of the patient's social support network. It is unknown whether these findings are unique to hospitalized patients. Therefore, future work should assess the fit of the model to other more diverse groups of hospitalized patients.