Eysenck Michael W, Fajkowska Małgorzata
a Department of Psychology , University of Roehampton, Whitelands College , London , UK.
b Institute of Psychology, Polish Academy of Sciences , Warsaw , Poland.
Cogn Emot. 2018 Nov;32(7):1391-1400. doi: 10.1080/02699931.2017.1330255. Epub 2017 Jun 13.
This Special Issue of Cognition and Emotion addresses one of the cardinal concerns of affective science, which is overlapping and distinctive features of anxiety and depression. A central finding in the study of anxiety and depression is that they are moderately highly correlated with each other. This leads us to the question: What is behind this co-occurrence? Possible explanations relate to poor discriminant validity of measures; both emotional states are associated with negative affect; stressful life events; impaired cognitive processes; they share a common biological/genetic diathesis. However, despite a set of common (nonspecific) features, anxiety and depression are clearly not identical emotional states. Differences between them might be best viewed, for example, through their heterogeneous and multi-layered nature, adaptive functions and relations with regulatory processes, positive affect, and motivation or complex cognitive processes. In this introduction we consider several approaches (e.g. functional approach; tripartite model and content-specificity hypothesis) to which most research in this Special Issue is relevant. In addition, we have asked contributors to this Special Issue to indicate how their own studies on comparisons between anxiety and depression and models on anxiety and depression move this area of research to more mature science with applicability.
《认知与情感》的这一特刊探讨了情感科学的一个核心问题,即焦虑与抑郁的重叠特征和独特特征。焦虑与抑郁研究中的一个主要发现是,它们彼此之间存在中度高度相关性。这就引出了一个问题:这种共现现象背后是什么?可能的解释包括测量的区分效度不佳;两种情绪状态都与消极情绪有关;应激性生活事件;认知过程受损;它们具有共同的生物学/遗传素质。然而,尽管存在一系列共同(非特异性)特征,但焦虑和抑郁显然不是相同的情绪状态。例如,它们之间的差异或许最好通过其异质性和多层次性质、适应功能以及与调节过程、积极情绪、动机或复杂认知过程的关系来观察。在本引言中,我们考虑了几种方法(如功能方法;三方模型和内容特异性假说),本期特刊中的大多数研究都与这些方法相关。此外,我们还请本期特刊的撰稿人说明他们自己关于焦虑与抑郁比较的研究以及焦虑与抑郁模型是如何将这一研究领域推向更成熟且具有适用性的科学的。