从事件分割透镜看ADHD和焦虑症状的共病

IF 1 4区 医学 Q4 PSYCHIATRY
Julia Ryan, Zoey Burr, Maria A. Rogers, Robert J. Coplan
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引用次数: 0

摘要

ADHD和焦虑表现出很高的合并症,包括症状重叠和相关的诊断和治疗挑战。目前的研究旨在通过调查ADHD和焦虑症状患者的事件分割模式来扩展这一研究领域。事件分割是将连续的信息流解析为有意义的事件的过程,提供了检查这些群体如何组织他们对日常经历的感知的异同的机会。参与者完成了一项事件分割任务,包括观看四部短片并识别大小事件。我们在多变量分析中使用了按钮按下的总次数和分割一致性评分,结果表明,高度ADHD组在大条件下识别的事件明显多于高度焦虑组,且一致性评分明显高于共病组。这项研究进一步加深了我们对多动症和焦虑症状的认知重叠的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ADHD and anxiety symptom comorbidity from an event segmentation lens
ADHD and anxiety present high comorbidity, including symptom overlap and related diagnostic and treatment challenges. The current study aimed to extend this area of research by investigating the event segmentation patterns of those with ADHD and anxiety symptoms. Event segmentation is the process of parsing a continuous flow of information into meaningful events, providing the opportunity to examine similarities and differences in how these groups organize their perception of daily experiences. Participants performed an event segmentation task consisting of watching four short movies and identifying large and small events. We used the total number of button presses and segmentation agreement scores in a multivariate analysis, and results indicated that the High ADHD group identified significantly more events in the large condition than the High Anxiety group and had significantly higher agreement scores than the Comorbid group. This study furthers our understanding of the cognitive overlap of ADHD and anxiety symptoms.
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来源期刊
Journal of Experimental Psychopathology
Journal of Experimental Psychopathology Medicine-Psychiatry and Mental Health
CiteScore
2.00
自引率
0.00%
发文量
19
审稿时长
11 weeks
期刊介绍: The Journal of Experimental Psychopathology (EPP) is an open access, peer reviewed, journal focused on publishing cutting-edge original contributions to scientific knowledge in the general area of psychopathology. Although there will be an emphasis on publishing research which has adopted an experimental approach to describing and understanding psychopathology, the journal will also welcome submissions that make significant contributions to knowledge using other empirical methods such as correlational designs, meta-analyses, epidemiological and prospective approaches, and single-case experiments.
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