Perlis M L, Giles D E, Buysse D J, Thase M E, Tu X, Kupfer D J
University of Rochester Medical Center, New York, USA.
Biol Psychiatry. 1997 Nov 15;42(10):904-13. doi: 10.1016/S0006-3223(96)00439-8.
Sleep complaints and electroencephalographic (EEG) sleep abnormalities are associated with risk for new onset depression, illness severity, treatment outcome, and vulnerability for recurrence of depression. The aim of this study was to evaluate the strength of association between EEG sleep measures and depression symptoms, and to identify the variables that account for the majority of the association. Depression ratings from the Hamilton Rating Scale for Depression and the Beck Depression Inventory and polysomnographic measures were examined in 361 adult outpatients with major depressive disorder. Canonical correlation and serial multiple regression analyses were used to determine the associations between depressive symptoms and sleep measures. Canonical correlation showed a unidimensional relationship between depressive symptoms and sleep measures (R = .55, p < .05). Fifteen depression items and nine sleep measures accounted for 95% of the correlation. Depression variables encompassed a core set of mood, neurovegetative, and cognitive symptoms. Sleep variables were primarily related to delta EEG activity, and this may be reflective of impaired sleep "drive" or heightened arousal during sleep.
睡眠问题主诉和脑电图(EEG)睡眠异常与新发抑郁症的风险、疾病严重程度、治疗结果以及抑郁症复发的易感性相关。本研究的目的是评估EEG睡眠指标与抑郁症状之间的关联强度,并确定占该关联大部分比例的变量。对361名患有重度抑郁症的成年门诊患者进行了汉密尔顿抑郁量表和贝克抑郁量表的抑郁评分以及多导睡眠图测量。采用典型相关分析和系列多元回归分析来确定抑郁症状与睡眠指标之间的关联。典型相关分析显示抑郁症状与睡眠指标之间存在单维关系(R = 0.55,p < 0.05)。15项抑郁条目和9项睡眠指标占该相关性的95%。抑郁变量包括一组核心的情绪、神经植物神经和认知症状。睡眠变量主要与EEG慢波活动有关,这可能反映了睡眠“驱动力”受损或睡眠期间觉醒增强。