Study on the Correlation among Sleep Quality, Cognitive Function, and Self-Management Ability in Hospitalized Elderly Patients with Coronary Heart Disease

Author:

Shen Zhoumin1,Chen Huali1,Cai Yimin1ORCID,Zhou Bifang1,Chen Hongjiao2,Xie Nian2

Affiliation:

1. Nursing Department, Hunan Provincial People’s Hospital, Changsha, Hunan 410013, China

2. Department of Nursing, Hunan Normal University School, Changsha, Hunan 410013, China

Abstract

Background. Coronary heart disease (CHD) is the leading cause of death worldwide. The incidence of cardiovascular disease is especially common in low-level and middle-income countries. With the increase in the number of patients with CHD and the complexity of treatment on patients with CHD, many hospitals are devoted to developing new models of care and management for patients with CHD. Understanding the unique characteristics of the patient’s condition, including factors related to self-management, cognitive function, and sleep quality, will lead to a substantial reduction in cardiovascular disease and related mortality. Objective. To investigate the correlation among sleep quality, cognitive function, and self-management ability in hospitalized elderly patients with coronary heart disease (CHD). Methods. 120 hospitalized elderly patients with coronary heart disease (CHD) were investigated by using a self-designed general data questionnaire, Pittsburgh Sleep Quality Index (PSQI), Montreal Cognitive Function Assessment (MoCA) scale, and Coronary Heart Disease Self-management Behavior Scale (CSMS). Results. The Spearman analysis showed that sleep quality was positively correlated with cognitive function in hospitalized elderly CHD patients ( P < 0.05 ). Sleep quality was positively correlated with self-management ability in CHD patients ( P < 0.05 ). Conclusion. Improving the cognitive function and self-management ability of elderly patients with coronary heart disease can improve their sleep quality.

Funder

Natural Science Foundation of Hunan Province

Publisher

Hindawi Limited

Subject

General Materials Science

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