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针对威胁认知的认知偏差矫正:利用被动式移动传感技术检测日常生活中的干预效果。

Cognitive bias modification for threat interpretations: using passive Mobile Sensing to detect intervention effects in daily life.

作者信息

Daniel Katharine E, Mendu Sanjana, Baglione Anna, Cai Lihua, Teachman Bethany A, Barnes Laura E, Boukhechba Mehdi

机构信息

Department of Psychology, University of Virginia, Charlottesville, VA, USA.

Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA.

出版信息

Anxiety Stress Coping. 2022 May;35(3):298-312. doi: 10.1080/10615806.2021.1959916. Epub 2021 Jul 31.

DOI:10.1080/10615806.2021.1959916
PMID:34338086
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8801546/
Abstract

BACKGROUND

Social anxiety disorder is associated with distinct mobility patterns (e.g., increased time spent at home compared to non-anxious individuals), but we know little about if these patterns change following interventions. The ubiquity of GPS-enabled smartphones offers new opportunities to assess the benefits of mental health interventions beyond self-reported data.

OBJECTIVES

This pre-registered study (https://osf.io/em4vn/?view_only=b97da9ef22df41189f1302870fdc9dfe) assesses the impact of a brief, online cognitive training intervention for threat interpretations using passively-collected mobile sensing data.

DESIGN

Ninety-eight participants scoring high on a measure of trait social anxiety completed five weeks of mobile phone monitoring, with 49 participants randomly assigned to receive the intervention halfway through the monitoring period.

RESULTS

The brief intervention was not reliably associated with changes to participant mobility patterns.

CONCLUSIONS

Despite the lack of significant findings, this paper offers a framework within which to test future intervention effects using GPS data. We present a template for combining clinical theory and empirical GPS findings to derive testable hypotheses, outline data processing steps, and provide human-readable data processing scripts to guide future research. This manuscript illustrates how data processing steps common in engineering can be harnessed to extend our understanding of the impact of mental health interventions in daily life.

摘要

背景

社交焦虑障碍与独特的活动模式相关(例如,与非焦虑个体相比,在家中花费的时间增加),但我们对这些模式在干预后是否会改变知之甚少。具备全球定位系统(GPS)功能的智能手机的普及为评估心理健康干预的益处提供了新机会,超越了自我报告的数据。

目的

这项预先注册的研究(https://osf.io/em4vn/?view_only=b97da9ef22df41189f1302870fdc9dfe)使用被动收集的移动传感数据评估了一种简短的在线认知训练干预对威胁解读的影响。

设计

98名在特质社交焦虑测量中得分较高的参与者完成了为期五周的手机监测,49名参与者在监测期过半时被随机分配接受干预。

结果

简短干预与参与者活动模式的变化没有可靠关联。

结论

尽管缺乏显著结果,但本文提供了一个框架,可用于使用GPS数据测试未来的干预效果。我们提供了一个模板,用于结合临床理论和GPS实证结果以得出可检验的假设,概述数据处理步骤,并提供易于理解的数据处理脚本以指导未来研究。本文阐述了如何利用工程中常见的数据处理步骤来扩展我们对心理健康干预在日常生活中影响的理解。