BACKGROUND Studies have shown that sleep disorders are closely related to anxiety and depression,and the quality of life(QoL)of patients with sleep disorders is generally poor.AIM To examine the occurrence of sleep di...BACKGROUND Studies have shown that sleep disorders are closely related to anxiety and depression,and the quality of life(QoL)of patients with sleep disorders is generally poor.AIM To examine the occurrence of sleep disorders in people with coronary heart disease(CHD)and their relationships with QoL,depression,and anxiety.METHODS As per the sleep condition,240 CHD individuals were separated into two groups:non-sleep disorder group(n=128)and sleep disorder group(n=112).The selfrating anxiety scale(SAS),self-rating depression scale(SDS),and World Health Organization criteria for the Quality of Life Brief scale(WHOQOL-BREF)scores of the two groups were compared.Logistic regression method was used to analyze the independent risk factors of CHD patients with sleep disorders.Multivariate logistic regression analysis was employed to develop the risk prediction model.The association among the Pittsburgh Sleep Quality Index,SAS,and SDS was examined using Spearman’s correlation analysis.RESULTS The incidence of sleep disorder was 46.67%in 240 patients.The scores of SAS and SDS in the sleep disorder group were higher than those in the non-sleep disorder group,and the WHOQOL-BREF scores were lower than those in the non-sleep disorder group(P<0.05).The risk prediction model of sleep disturbances in CHD patients was constructed using the outcomes of multivariate logistic regression analysis,P=1/[1+e(-2.160+0.989×(female)+0.001×(new rural cooperative medical insurance)+2.219×(anxiety)+2.157×depression)].The results of a Spearman’s correlation study revealed that sleep quality was strongly adversely connected with the physiological field,psychological field,and social relation scores in QoL,and was considerably positively correlated with SAS and SDS(P<0.05).CONCLUSION A multivariate logistic regression model can better predict the occurrence of sleep disorders in CHD patients.Sleep disorders in CHD patients are significantly correlated with QoL,depression,and anxiety.展开更多
基金Supported by Scientific Research Program on Chinese Medicine,No.2023460.
文摘BACKGROUND Studies have shown that sleep disorders are closely related to anxiety and depression,and the quality of life(QoL)of patients with sleep disorders is generally poor.AIM To examine the occurrence of sleep disorders in people with coronary heart disease(CHD)and their relationships with QoL,depression,and anxiety.METHODS As per the sleep condition,240 CHD individuals were separated into two groups:non-sleep disorder group(n=128)and sleep disorder group(n=112).The selfrating anxiety scale(SAS),self-rating depression scale(SDS),and World Health Organization criteria for the Quality of Life Brief scale(WHOQOL-BREF)scores of the two groups were compared.Logistic regression method was used to analyze the independent risk factors of CHD patients with sleep disorders.Multivariate logistic regression analysis was employed to develop the risk prediction model.The association among the Pittsburgh Sleep Quality Index,SAS,and SDS was examined using Spearman’s correlation analysis.RESULTS The incidence of sleep disorder was 46.67%in 240 patients.The scores of SAS and SDS in the sleep disorder group were higher than those in the non-sleep disorder group,and the WHOQOL-BREF scores were lower than those in the non-sleep disorder group(P<0.05).The risk prediction model of sleep disturbances in CHD patients was constructed using the outcomes of multivariate logistic regression analysis,P=1/[1+e(-2.160+0.989×(female)+0.001×(new rural cooperative medical insurance)+2.219×(anxiety)+2.157×depression)].The results of a Spearman’s correlation study revealed that sleep quality was strongly adversely connected with the physiological field,psychological field,and social relation scores in QoL,and was considerably positively correlated with SAS and SDS(P<0.05).CONCLUSION A multivariate logistic regression model can better predict the occurrence of sleep disorders in CHD patients.Sleep disorders in CHD patients are significantly correlated with QoL,depression,and anxiety.
