Implementing psychophysiology in clinical assessments of adolescent social anxiety: use of rater judgments based on graphical representations of psychophysiology.
Implementing psychophysiology in clinical assessments of adolescent social anxiety: use of rater judgments based on graphical representations of psychophysiology.
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DOI：
10.1080/15374416.2013.859080
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Regan T
中科院分区：
文献类型：
--
作者：
De Los Reyes A;Augenstein TM;Aldao A;Thomas SA;Daruwala S;Kline K;Regan T
根据低成本的心理生理学方法，社会应激源任务会诱发青少年的社会苦恼。未知的是如何将这些方法纳入临床评估。让评估员判断心理生理数据的图形描述可能有助于检测使用关于心理生理数据的数字描述的判断可能难以识别的数据模式。具体地说，Chernoff人脸方法涉及使用人脸上的特征(眼睛、鼻子、嘴巴和脸型)以图形表示数据。这种方法利用了人类辨别面部特征细微变化的能力。使用青少年心率标准和切尔诺夫面孔，我们说明了一种在青少年社交焦虑的临床评估中实施心理生理学的方法。22名被转诊的青少年完成了社交焦虑自我报告，并在社交应激源任务中使用无线心率监测器提供了心理生理学数据。我们用图形表示参与者的心理生理学数据和标准的青少年心率。对于每个参与者，两名本科生程序员对两张切尔诺夫面孔的尺寸(眼睛、鼻子、嘴巴和脸型)进行了比较判断。一张切尔诺夫脸代表参与者在特定背景下的心率(基线、演讲准备或演讲)。第二张切尔诺夫脸代表了与参与者年龄匹配的标准心率数据。通过使用Chernoff面孔，程序员可靠而准确地识别了参与者对社会压力的心率反应的背景变化。此外，青少年自我报告的社交焦虑症状可以预测切尔诺夫的面孔判断，而判断可以通过社会压力背景来区分。我们的发现对将心理生理学应用于青少年社交焦虑的临床评估具有重要意义。
Social stressor tasks induce adolescents’ social distress as indexed by low-cost psychophysiological methods. Unknown is how to incorporate these methods within clinical assessments. Having assessors judge graphical depictions of psychophysiological data may facilitate detections of data patterns that may be difficult to identify using judgments about numerical depictions of psychophysiological data. Specifically, the Chernoff Face method involves graphically representing data using features on the human face (eyes, nose, mouth, and face shape). This method capitalizes on humans’ abilities to discern subtle variations in facial features. Using adolescent heart rate norms and Chernoff Faces, we illustrated a method for implementing psychophysiology within clinical assessments of adolescent social anxiety. Twenty-two clinic-referred adolescents completed a social anxiety self-report and provided psychophysiological data using wireless heart rate monitors during a social stressor task. We graphically represented participants’ psychophysiological data and normative adolescent heart rates. For each participant, two undergraduate coders made comparative judgments between the dimensions (eyes, nose, mouth, and face shape) of two Chernoff Faces. One Chernoff Face represented a participant’s heart rate within a context (baseline, speech preparation, or speech-giving). The second Chernoff Face represented normative heart rate data matched to the participant’s age. Using Chernoff faces, coders reliably and accurately identified contextual variation in participants’ heart rate responses to social stress. Further, adolescents’ self-reported social anxiety symptoms predicted Chernoff Face judgments, and judgments could be differentiated by social stress context. Our findings have important implications for implementing psychophysiology within clinical assessments of adolescent social anxiety.