Decomposing depression: on the prospective and reciprocal dynamics of mood and sleep disturbances.
Decomposing depression: on the prospective and reciprocal dynamics of mood and sleep disturbances.
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DOI：
10.1037/a0014375
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发表时间：
2009-02
影响因子：
4.6
通讯作者：
D. Sbarra;John J. B. Allen
中科院分区：
文献类型：
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作者：
D. Sbarra;John J. B. Allen
睡眠障碍是重度抑郁症最常见且最令人衰弱的方面之一。在当前抑郁发作的未接受药物治疗的成年人样本中（N 个参与者 = 99，N 个数据点 = 428），作者使用潜在差异评分结构方程模型检查了为期 17 周的针灸治疗研究中睡眠障碍和情绪症状的纵向动态。结果表明，睡眠和情绪障碍的变化可以表征为单一双变量系统，其中低水平的情绪症状导致睡眠障碍的增加，而高水平的睡眠障碍对情绪症状产生抑制作用。双变量系统走向或远离更好结果的运动取决于睡眠情绪症状的精确组合；在不知道这两个变量的状态和轨迹的情况下，预测睡眠或情绪症状的变化是有限的。这些结果对于更好地理解睡眠-情绪关联的复杂性和相互作用，以及抑郁治疗反应的动态、基于时间的预测因素具有重要意义。
Sleep disturbances are among the most common and debilitating aspects of major depressive disorder. In a sample of unmedicated adults experiencing a current depressive episode (N participants = 99, N data points = 428), the authors examined the longitudinal dynamics of sleep disturbances and mood symptoms across a 17-week acupuncture treatment study using latent difference score structural equation modeling. Results indicated that changes in sleep and mood disturbances could be characterized as a single bivariate system where low levels of mood symptoms lead to increases in sleep disturbances, whereas high levels of sleep disturbance exert a dampening effect on mood symptoms. Movement of the bivariate system toward or away from better outcomes depended on the precise combination of sleep-mood symptoms; without knowing the state and trajectory of both variables, predicting change in either sleep or mood symptoms was limited. The results have implications for better understanding the complexity and reciprocity of sleep-mood associations, as well as the dynamic, time-based predictors of depressive treatment response.