Actigraphic predictors of depressed mood in a cohort of non-psychiatric adults.
Actigraphic predictors of depressed mood in a cohort of non-psychiatric adults.
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一组非精神病成年人抑郁情绪的活动记录预测因子。
DOI：
10.1080/j.1440-1614.1999.00585.x
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Nunes,J
中科院分区：
文献类型：
--
作者：
Mendlowicz,MV;Jean-Louis,G;vonGizycki,H;Zizi,F;Nunes,J
目的：抑郁情绪是诊断抑郁症的基本特征之一。来自三个地点的流行病学集水区研究（EcA、巴尔的摩、达勒姆和洛杉矶）的证据表明，社区中抑郁症状的患病率为4.4%。在这项研究中，我们研究是否抑郁的情绪，编码在阿尔茨海默氏病评估量表，将与活动记录衍生的白天活动和睡眠/觉醒参数在非精神sample.Method：在家里监测5天的手腕活动记录志愿者。在记录的最后一天，他们被赋予了神经心理电池，包括阿尔茨海默氏病评估Scale.Results：日间活动水平是最好的预测抑郁情绪的Logistic回归分析表明。回归模型进一步表明，睡眠开始潜伏期，总睡眠时间，在床上的时间也显着预测抑郁mood.Conclusion：这项调查表明，白天活动水平可以作为抑郁情绪的指标，即使在非精神病样本。此外，研究结果支持这样一种观点，即抑郁症应更多地被视为一个连续体，而不是一组严格的类别。
Objective:Depressed mood is one of the essential features for the diagnosis of major depression. Evidence from the three-site Epidemiologic Catchment Area study (EcA, Baltimore, Durham and Los Angeles) suggests a prevalence of 4.4% of depressive symptoms in the community. In this study, we examined whether depressed mood, as coded in the Alzheimer's Disease Assessment Scale, would be correlated with actigraphic-derived daytime activity and sleep/wake parameters in a non-psychiatric sample.Method:Consenting volunteers were monitored at home for 5 days with a wrist actigraph. On the last day of the recording, they were given a neuropsychological battery including the Alzheimer's Disease Assessment Scale.Results:Daytime activity level was the best predictor of depressed mood as indicated by a logistic regression analysis. The regression model further suggested that sleep onset latency, total time asleep, and time in bed were also significant predictors of depressed mood.Conclusion:This investigation demonstrates that daytime activity level could be used as an index of depressed mood even in a non-psychiatric sample. Further, the results support the notion that depression should be considered more as a continuum rather than as a set of rigid categories.