Richard E Zinbarg, Alexander L Williams, Susan Mineka
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引用次数: 11
Abstract
The authors describe how contemporary learning theory and research provide the basis for models of the etiology and maintenance of anxiety and related disorders. They argue that contemporary learning theory accounts for much of the complexity associated with individual differences in the development and course of these disorders. These insights from modern research on learning overcome the limitations of earlier behavioral approaches, which were overly simplistic and have been justifiably criticized. The authors show how considerations of early learning histories and temperamental vulnerabilities affect the short- and long-term likelihood that experiences with stressful events will lead to the development of anxiety disorders. They also discuss how contextual variables during and after stressful learning experiences influence the maintenance of anxiety disorder symptoms. Thus, contemporary learning models provide a rich and nuanced understanding of the etiology and course of anxiety and related disorders.
期刊介绍:
The Annual Review of Clinical Psychology is a publication that has been available since 2005. It offers comprehensive reviews on significant developments in the field of clinical psychology and psychiatry. The journal covers various aspects including research, theory, and the application of psychological principles to address recognized disorders such as schizophrenia, mood, anxiety, childhood, substance use, cognitive, and personality disorders. Additionally, the articles also touch upon broader issues that cut across the field, such as diagnosis, treatment, social policy, and cross-cultural and legal issues.
Recently, the current volume of this journal has transitioned from a gated access model to an open access format through the Annual Reviews' Subscribe to Open program. All articles published in this volume are now available under a Creative Commons Attribution License (CC BY), allowing for widespread distribution and use. The journal is also abstracted and indexed in various databases including Scopus, Science Citation Index Expanded, MEDLINE, EMBASE, CINAHL, PsycINFO, and Academic Search, among others.