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情绪调节与抑郁症状的社会情感动态:一种针对个体的网络方法。

Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach.

作者信息

Yang Xiao, Ram Nilam, Gest Scott D, Lydon-Staley David M, Conroy David E, Pincus Aaron L, Molenaar Peter C M

机构信息

Pennsylvania State University.

German Institute for Economic Research (DIW), Berlin.

出版信息

Complexity. 2018;2018. doi: 10.1155/2018/5094179. Epub 2018 Nov 12.

Abstract

Socioemotional processes engaged in daily life may afford and/or constrain individuals' emotion regulation in ways that affect psychological health. Recent findings from experience sampling studies suggest that persistence of negative emotions (emotion inertia), the strength of relations among an individual's negative emotions (density of the emotion network), and cycles of negative/aggressive interpersonal transactions are related to psychological health. Using multiple bursts of intensive experience sampling data obtained from 150 persons over one year, person-specific analysis, and impulse response analysis, this study quantifies the complex and interconnected socioemotional processes that surround individuals' daily social interactions and on-going regulation of negative emotion in terms of recovery time. We also examine how this measure of regulatory inefficiency is related to interindividual differences and intraindividual change in level of depressive symptoms. Individuals with longer recovery times had higher overall level of depressive symptoms. As well, during periods where recovery time of sadness was longer than usual, individuals' depressive symptoms were also higher than usual, particularly among individuals who experienced higher overall level of stressful life events. The findings and analysis highlight the utility of a person-specific network approach to study emotion regulation, how regulatory processes change over time, and potentially how planned changes in the configuration of individuals' systems may contribute to psychological health.

摘要

日常生活中涉及的社会情感过程可能以影响心理健康的方式促进和/或限制个体的情绪调节。经验抽样研究的最新发现表明,负面情绪的持续性(情绪惯性)、个体负面情绪之间关系的强度(情绪网络的密度)以及负面/攻击性人际互动的循环与心理健康有关。本研究使用从150人在一年时间内获得的多组密集经验抽样数据、个体特异性分析和冲动反应分析,从恢复时间的角度量化了围绕个体日常社交互动和持续负面情绪调节的复杂且相互关联的社会情感过程。我们还研究了这种调节效率低下的衡量指标如何与个体间差异以及抑郁症状水平的个体内变化相关。恢复时间较长的个体总体抑郁症状水平较高。同样,在悲伤恢复时间比平常更长的时期,个体的抑郁症状也比平常更高,尤其是在经历了总体压力性生活事件水平较高的个体中。这些发现和分析突出了个体特异性网络方法在研究情绪调节、调节过程如何随时间变化以及个体系统配置的计划变化可能如何促进心理健康方面的效用。

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本文引用的文献

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Emotion-Network Density in Major Depressive Disorder.重度抑郁症中的情感网络密度
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