Morgan J Schaeffer, Himanthri Weerawardhena, Sara Becker, Brandy L Callahan
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引用次数: 0
Abstract
Objective: Standardized executive functioning (EF) measures do not reliably capture EF-related difficulties reported in daily life. We aim to determine if an ecologically relevant neuropsychological battery is more strongly associated with self-reported everyday EF impairments than classically used tests.
Method: Fifty-nine adults aged 18-49 self-rated their EF abilities using the Barkley Deficits in EF Scale (BDEFS) and were randomly assigned to complete either a test battery composed of EF measures with hypothesized ecological relevance (Six Elements, Zoo Map, Hayling Sentence Completion, Iowa Gambling, and Auditory Startle Tasks) or one composed of traditional EF tasks (Card Sorting, Trail Making, Color-Word Interference, and Verbal Fluency). Associations were examined using linear regression.
Results: There were no strong associations between BDEFS subscales and performance on either test battery. Only the regression model predicting Emotional Regulation from ecological tasks was significant. Iowa Gambling Task performance and corrugator muscle contraction in the Auditory Startle Task individually contributed significantly to the model, with small and moderate effect sizes respectively.
Conclusion: Results align with evidence that self-reported EF difficulties are not adequately captured by formal neuropsychological measures, even for performance-based measures which directly tap everyday constructs. Findings are interpreted cautiously in the context of a small, high-functioning sample.
目的:标准化的执行功能(EF)测量并不能可靠地反映日常生活中报告的与EF相关的困难。我们的目的是确定与经典测试相比,与生态相关的神经心理测试是否与自我报告的日常EF障碍有更强的关联:59名年龄在18-49岁之间的成年人使用巴克利情商缺陷量表(Barkley Deficits in EF Scale,BDEFS)对自己的情商能力进行了自我评价,并被随机分配完成由假定的生态相关性情商测量(六要素、动物园地图、海林句子完成、爱荷华州赌博和听觉惊吓任务)组成的测试电池,或由传统的情商任务(卡片分类、路径制作、颜色-单词干扰和言语流畅性)组成的测试电池。研究采用线性回归法对两者之间的关联进行检验:结果:BDEFS 的子量表与这两种测试的成绩之间没有很强的关联。只有通过生态任务预测情绪调节的回归模型具有显著性。爱荷华州赌博任务的成绩和听觉惊吓任务中的皱纹肌收缩分别以较小和中等的效应大小对模型做出了显著贡献:结果与证据一致,即正规的神经心理学测量并不能充分反映自我报告的EF困难,即使是基于表现的测量,也不能直接反映日常结构。在小规模、高功能样本的背景下,对研究结果的解释需要谨慎。