Self-reported Sleep Disturbance of Patients With Heart Failure in Taiwan
Self-reported Sleep Disturbance of Patients With Heart Failure in Taiwan
复制标题
DOI：
10.1097/nnr.0b013e31818c3ea0
复制
发表时间：
2009-01-01
期刊：
影响因子：
2.5
通讯作者：
Chao, Yann-Fen C.
中科院分区：
文献类型：
--
作者：
Chen, Hsing-Mei;Clark, Angela P.;Chao, Yann-Fen C.
背景。，西方的研究发现，睡眠障碍降低生活质量和心脏衰竭患者的日常功能，然而，有关睡眠障碍的信息是缺乏在台湾人heartfault.Objectives：本研究的目的是调查预测自我报告的睡眠障碍在台湾人的心脏衰竭。假设是，健康相关的生活质量（HRQOL）可以有显着的影响睡眠障碍，控制人口统计学，心力衰竭的特点，和健康相关的characteristics.Methods：采用横断面，描述性，相关性设计。本研究采立意取样，以台湾南部两所医院门诊部为研究对象，共125名受试者。参与者分别接受采访，完成匹兹堡睡眠质量指数堪萨斯城心肌病问卷，Charlson Comorbidity指数，和自觉健康量表instruments.Results：自我报告的睡眠障碍是普遍存在的（74%），在台湾的心脏衰竭的人。五个预测因素，确定了使用分层多元回归分析与前瞻性方法，占26.9%的方差睡眠障碍。他们是教育，纽约心脏协会功能分类，自觉健康，HRQOL社会功能和身体症状。控制人口统计学，心力衰竭的特点，和健康相关的特征后，分析表明，两个变量的HRQOL占9.8%的方差在sleep disturbances.Discussion：正在进行的筛查睡眠障碍的重要性，在心力衰竭的人突出的基础上，研究结果的患病率睡眠障碍的参与者在这项研究中。医疗保健提供者必须了解睡眠障碍的多因素性质，以实现更好，更有效的管理。
Background., Western research studies have found that sleep disturbances reduced quality of life and daily functioning of patients with heart failure; however, information about sleep disturbance is lacking in Taiwanese people with heart failure.Objectives: The objective of this study was to investigate predictors of self-reported sleep disturbances in Taiwanese people with heart failure. The hypothesis was that health-related quality of life (HRQOL) could have significant effect on sleep disturbances, after controlling for demographics, heart failure characteristics, and health-related characteristics.Methods: A cross-sectional, descriptive, correlational design was used. A purposive sample of 125 participants was recruited from the outpatient departments of two hospitals located in southern Taiwan. Participants were interviewed individually to complete the Pittsburgh Sleep Quality Index Kansas City Cardiomyopathy Questionnaire, Charlson Comorbidity Index, and Perceived Health Scale instruments.Results: Self-reported sleep disturbances were prevalent (74%) among people with heart failure in Taiwan. Five predictors were identified using hierarchical multiple regression analyses with forward methods, accounting for 26.9% of variance in sleep disturbances. They were education, New York Heart Association functional classification, perceived health, HRQOL social functioning, and physical symptoms. After controlling for demographics, heart failure characteristics, and health-related characteristics, the analysis showed that two variables of HRQOL accounted for 9.8% of the variance in sleep disturbances.Discussion: The importance of ongoing screening for sleep disturbances in people with heart failure is highlighted based on the study findings about the prevalence of sleep disturbances among the participants in this study. Healthcare providers must understand the often multifactorial nature of sleep disturbances to achieve a better and more effective management.