情感(语言学)
经验抽样法
心理学
萧条(经济学)
动力学(音乐)
抑郁症状
临床心理学
发展心理学
结构方程建模
精神科
认知
社会心理学
统计
宏观经济学
经济
沟通
数学
教育学
作者
Peter Koval,Madeline Pe,Kristof Meers,Peter Kuppens
出处
期刊:Emotion
[American Psychological Association]
日期:2013-08-05
卷期号:13 (6): 1132-1141
被引量:243
摘要
Depression not only involves disturbances in prevailing affect, but also in how affect fluctuates over time. Yet, precisely which patterns of affect dynamics are associated with depressive symptoms remains unclear; depression has been linked with increased affective variability and instability, but also with greater resistance to affective change (inertia). In this paper, we argue that these paradoxical findings stem from a number of neglected methodological/analytical factors, which we address using a novel paradigm and analytic approach. Participants (N = 99), preselected to represent a wide range of depressive symptoms, watched a series of emotional film clips and rated their affect at baseline and following each film clip. We also assessed participants' affect in daily life over 1 week using experience sampling. When controlling for overlap between different measures of affect dynamics, depressive symptoms were independently associated with higher inertia of negative affect in the lab, and with greater negative affect variability both in the lab and in daily life. In contrast, depressive symptoms were not independently related to higher affective instability either in daily life or in the lab.
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