Suppr超能文献

慢性阻塞性肺疾病患者的抑郁和睡眠障碍。

Depression and sleep disturbance in patients with chronic obstructive pulmonary disease.

机构信息

School of Nursing, Pusan National University, Korea.

出版信息

Geriatr Nurs. 2011 Nov-Dec;32(6):408-17. doi: 10.1016/j.gerinurse.2011.08.002. Epub 2011 Nov 4.

Abstract

The goal of this study was to examine the unique contributions of sleep disturbance to depression in patients with chronic obstructive pulmonary disease (COPD) after controlling for other contributing variables, including patient characteristics, self-efficacy, and physical activity. One hundred thirty-one outpatients diagnosed with COPD from 3 hospitals in South Korea participated in the study. Data were collected from March to June 2010 and analyzed with descriptive statistics, Pearson correlation, and hierarchical multiple regression using the SPSS WIN program. The level of depression reported in this study was 13.84. Sleep disturbance, not living with a spouse, and self-efficacy were all predictors of depression and accounted for 45% of the variance. These findings show the need to screen routinely for sleep disturbance in patients with COPD and support potential benefits of interventions to enhance self-efficacy and quality of sleep in reducing depression in COPD patients.

摘要

本研究的目的是在控制其他相关变量(包括患者特征、自我效能和身体活动)的情况下,考察睡眠障碍对慢性阻塞性肺疾病(COPD)患者抑郁的独特贡献。131 名来自韩国 3 家医院的 COPD 门诊患者参与了这项研究。数据于 2010 年 3 月至 6 月收集,并使用 SPSS WIN 程序进行描述性统计、皮尔逊相关分析和分层多元回归分析。本研究报告的抑郁水平为 13.84。睡眠障碍、与配偶不同住和自我效能均为抑郁的预测因子,共解释了 45%的方差。这些发现表明,有必要在 COPD 患者中常规筛查睡眠障碍,并支持通过干预措施提高自我效能和改善睡眠质量,从而降低 COPD 患者的抑郁水平。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验