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Physiological changes over the course of cognitive bias modification for social anxiety

机译:社会焦虑认知偏见修改过程中的生理变化

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Social anxiety disorder affects approximately 7% of the adult population in the U.S., yet a vast majority of these individuals do not seek treatment. Thus, it is critical to examine models that deliver treatment to them. Computerized Cognitive Bias Modification (CBM) training programs can be effective in targeting interpretation bias, a key cognitive mechanism underlying social anxiety, and have potential for widespread dissemination, especially if they can be delivered via smart phones, which are becoming ubiquitous. However, the efficacy of CBM interpretation training paradigms that are adapted to and delivered via smart phones remains unknown. We present a pilot study to investigate if physiologic data can be used to track the changes over a smartphone-based CBM intervention for social anxiety. In a 3-week open trial, pilot study involving 20 high socially anxious participants, self-report affect ratings, heart rate and accelerometer data were collected using a smartphone and smartwatch before, after, and during the CBM intervention. The study focused on the relationship between accelerometer and heart rate to track change following the intervention. Results provide preliminary evidence for the viability of using physiological data to identify the change in mental state influenced by CBM interventions.
机译:社交焦虑症大约影响美国的成年人群体7 %,但这些人的绝大多数都不寻求治疗。因此,检查向它们提供治疗的模型至关重要。计算机化认知偏置修改(CBM)培训计划可以有效地瞄准解释偏见,是社会焦虑的关键认知机制,并具有广泛传播的潜力,特别是如果他们可以通过智能手机提供,这是无处不在的。然而,通过智能手机调整和交付的CBM解释培训范式的疗效仍然未知。我们提出了一个试验研究来调查生理数据是否可以用于跟踪基于智能手机的CBM干预的变化进行社交焦虑。在3周的开放式试验中,使用智能手机和Smartwatch在CBM干预之前,在CBM干预之前,在CBM干预之前,在涉及20名高位社交焦虑的参与者,自我报告影响评级,心率和加速度计数据的试验研究。该研究专注于加速度计与心率与追踪干预后的关系。结果为使用生理数据来确定受CBM干预措施影响的精神状态变化的可行性提供了初步证据。

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