慢性疾病与睡眠障碍在预测韩裔美国老年人抑郁症状中的交互作用。
The interactive role of chronic medical conditions and sleep disturbance in predicting depressive symptoms among Korean American older adults.
机构信息
Department of Aging and Mental Health Disparities, University of South Florida, Tampa, FL, USA.
出版信息
Aging Ment Health. 2011 Mar;15(2):198-203. doi: 10.1080/13607860903493366. Epub 2010 Dec 6.
OBJECTIVES
This study examined the independent and interactive effects of chronic medical conditions and sleep disturbance on depressive symptomatology. The sample (N = 675) consisted of community-dwelling Korean American older adults, a group that has been found to be particularly high in depressive symptomatology.
METHODS
A hierarchical regression model of depressive symptoms was estimated with an array of predictors: (a) demographic variables, including immigration history, (b) chronic medical conditions, (c) sleep disturbance, and (d) an interaction between chronic medical conditions and sleep disturbance.
RESULTS
After controlling for the effects of demographic variables, both chronic medical conditions and sleep disturbance were identified as independent risk factors for depressive symptoms. Moreover, their interaction was significant, indicating that the coexistence of chronic medical conditions and sleep disturbance was significantly associated with higher levels of depressive symptoms (β = 0.15, p < 0.01).
CONCLUSION
Our findings call attention to sleep hygiene among older individuals with chronic medical conditions and recommend that sleep quality should be closely monitored and assessed by healthcare professionals.
目的
本研究考察了慢性疾病和睡眠障碍对抑郁症状的独立和交互影响。该样本（N=675）由居住在社区的美国韩裔老年人组成，该群体的抑郁症状发生率特别高。
方法
使用一系列预测因子对抑郁症状进行分层回归模型估计：（a）人口统计学变量，包括移民历史，（b）慢性疾病，（c）睡眠障碍，以及（d）慢性疾病和睡眠障碍之间的相互作用。
结果
在控制人口统计学变量的影响后，慢性疾病和睡眠障碍均被确定为抑郁症状的独立风险因素。此外，它们的相互作用具有统计学意义，表明慢性疾病和睡眠障碍的共存与更高水平的抑郁症状显著相关（β=0.15，p<0.01）。
结论
我们的研究结果引起了对患有慢性疾病的老年人的睡眠卫生的关注，并建议医疗保健专业人员应密切监测和评估睡眠质量。
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