Unscrambling the Dynamics of Danger: Scientific Foundations and Evidence for the Looming Vulnerability Model and Looming Cognitive Style in Anxiety

Author:

Riskind John H.ORCID

Abstract

Abstract Background A revised looming vulnerability model is described that updates the original conceptual model and synthesizes new findings and evidence. The revised model extends the notion of dynamic threat by describing the role of cognitive-perceptual distortions. Moreover, it suggests that dynamic threat perceptions, particularly that threats are approaching, serve as warning signals that lower the threshold for appraising threat, influencing negative emotional responses (primarily but not only anxiety and fear), cognitive-affective processing, behavior, and maladaptive coping. Individual differences in “looming cognitive style” can lead to transdiagnostic vulnerability to anxiety (and less so, to depression), maladaptive defensive reactions, cognitive-affective (experiential) avoidance, and stress generation. Methods This article reviews the conceptualization proposed by the revised looming vulnerability model, and comprehensively reviews its scientific foundation, and current supporting evidence that has accrued for the model across diverse research domains. Results The revised conceptualization of the looming vulnerability model is amply supported by the accumulated research, which highlights the importance of dynamic stimuli for attention, memory, emotional, and neurological response. Likewise, the looming cognitive style is supported by a substantial number of studies, linking it to cognitive vulnerability to anxiety, biased threat processing, maladaptive coping and cognitive-affective avoidance, and developmental antecedents. Conclusions The review of evidence supports the revised looming vulnerability model's tenets about the importance of dynamic stimulusi features, which previous models have neglected, and of the looming cognitive style, which is proposed as a distinct cognitive vulnerability Clinical implications and future research directions are discussed.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3