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抑郁症综合认知模型及其在流动人口中的特异性评估。

Evaluation of the integrated cognitive model of depression and its specificity in a migrant population.

作者信息

Oei Tian P S, Kwon Seok-Man

机构信息

School of Psychology, University of Queensland, Brisbane, Australia.

出版信息

Depress Anxiety. 2007;24(2):112-23. doi: 10.1002/da.20225.

Abstract

This study empirically tested the specificity of the integrated cognitive model (ICM) of depression, which postulates that negative life events interact with dysfunctional attitudes to increase the frequency and severity of automatic thoughts, subsequently affecting depressive symptoms. We also examined the three competing models: the linear mediation model, the alternative etiologies model, and the symptom model. We anticipated that we might examine these models more appropriately using data from a population at an increased risk of developing depressive symptoms. As such, two-wave panel data were obtained from a group of 107 Korean migrants who had been in Australia less than 1 year. Structural equation modeling revealed that the ICM provided an adequate and much better fit than the three competing models. The ICM was also found to support the cognitive specificity theory of depression and anxiety. These findings suggest that dysfunctional attitudes can be a common cognitive moderator of depression and anxiety, whereas automatic thoughts and anxious self-statements can be specific cognitive mediators of anxiety and depression, respectively.

摘要

本研究对抑郁症综合认知模型(ICM)的特异性进行了实证检验,该模型假定负性生活事件与功能失调性态度相互作用,以增加自动思维的频率和严重程度,进而影响抑郁症状。我们还检验了三种竞争模型:线性中介模型、替代病因模型和症状模型。我们预计,使用来自抑郁症状发生风险增加人群的数据,可能会更恰当地检验这些模型。因此,从一组107名在澳大利亚居住不到1年的韩国移民中获取了两波面板数据。结构方程模型显示,与三种竞争模型相比,ICM提供了充分且更好的拟合。还发现ICM支持抑郁和焦虑的认知特异性理论。这些发现表明,功能失调性态度可能是抑郁和焦虑的共同认知调节因素,而自动思维和焦虑的自我陈述可能分别是焦虑和抑郁的特异性认知中介因素。

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