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Pathways from uncertainty to anxiety: An evaluation of a hierarchical model of trait and disorder-specific intolerance of uncertainty on anxiety disorder symptoms

机译:来自不确定性对焦虑的途径:对焦虑症症状不确定性的特质特异性分层模型的评价

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Uncertainty is central to anxiety-related pathology and intolerance of uncertainty (IU) appears to be a transdiagnostic risk and maintaining factor. The aim of the present study was to evaluate a hierarchical model to identify the unique contributions of trait and disorder-specific IU (i.e., uncertainty specific to generalised anxiety disorder, social anxiety, obsessive compulsive disorder, and panic disorder) to disorder-specific symptoms, beyond other disorder-specific cognitive vulnerabilities (i.e., negative metacognitive beliefs, fear of negative evaluation, inflated responsibility, and agoraphobic cognitions, respectively). Participants (N=506) completed a battery of online questionnaires. Structural equation modelling was used to evaluate model fit, as well as direct and indirect pathways. Trait and disorder specific IU were significantly associated with multiple cognitive vulnerability factors and disorder symptoms. Indirect effects between trait IU and symptoms were observed through disorder-specific IU and cognitive vulnerabilities. The relative contribution of trait IU and disorder-specific IU to symptoms varied and theoretical and clinical implications are highlighted. Limitations include the cross-sectional design and reliance on self-report. Avenues for further research include a need for replication and extension of the model in different samples and using experimental and multi-method research methods. (C) 2016 Elsevier Ltd. All rights reserved.
机译:不确定性是焦虑相关的病理学和不确定性的不确定性(IU)似乎是一个跨诊断风险和维持因素。本研究的目的是评估分层模型,以确定特定性和疾病特异性IU的独特贡献(即,针对广泛性焦虑症,社交焦虑,强迫症和恐慌障碍和恐慌障碍)的特异性特异性症状超越其他特异性疾病特异性认知漏洞(即负面的元认知信念,分别担心负面评估,夸大责任和恐怖症认知)。参与者(n = 506)完成了电池的在线问卷。结构方程建模用于评估型号合适,以及直接和间接途径。特异性和障碍特异性IU与多重认知漏洞因素和疾病症状显着相关。通过特定于无序的IU和认知漏洞观察特质IU和症状之间的间接影响。特质IU和特定无序IU对症状的相对贡献变化变化,理论和临床意义是突出的。限制包括横截面设计和对自我报告的依赖。进一步研究的途径包括在不同样本中的模型复制和扩展,并使用实验和多方法研究方法。 (c)2016 Elsevier Ltd.保留所有权利。

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