Digital phenotyping and the COVID-19 pandemic: Capturing behavioral change in patients with psychiatric disorders
Digital phenotyping and the COVID-19 pandemic: Capturing behavioral change in patients with psychiatric disorders
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DOI：
10.1016/j.euroneuro.2020.11.012
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发表时间：
2021-01-01
影响因子：
5.6
通讯作者：
Vorstman, Jacob A. S.
中科院分区：
文献类型：
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作者：
Jagesar, Raj R.;Roozen, Mila C.;Vorstman, Jacob A. S.
COVID-19大流行导致前所未有的社会变化，限制了我们的流动性以及我们与他人面对面联系的能力。这些不寻常但广泛的变化为使用数字表型分析工具进行研究提供了独特的机会。数字表型分析工具，如移动的被动监测平台（MPM），为人类行为提供了一个新的视角，并有望改善人类行为研究。然而，目前几乎没有证据表明这些工具可以可靠地检测行为的变化。考虑到COVID-19大流行是一个高影响的常见环境因素，我们使用我们的移动的被动监测平台BEHAPP研究了对参与者行为的潜在影响，该平台在COVID-19大流行期间动态跟踪他们。我们汇总了三项MPM研究的数据，涉及精神分裂症（SZ）、重度抑郁症（MDD）和双相情感障碍（BD）患者（N = 12）。我们比较了隔离检疫开始前三周和隔离检疫开始后三周的工作日收集的数据。我们假设沟通增加，流动性减少。我们观察到花费在通信应用程序上的总时间显著增加（平均每周分别为179和243分钟，p = 0.005），以及访问的独特地点数量显著减少（平均每周分别为6次和3次访视，p = 0.007），而在家的总时间没有显著变化（每周中位数分别为64和77小时，p = 0.594）。这些数据提供了一个原则证明，即数字表型分析工具可以识别由共同的外部环境因素引起的人类行为变化。(c)2020由Elsevier B. V.出版
The COVID-19 pandemic has led to unprecedented societal changes limiting us in our mobility and our ability to connect with others in person. These unusual but widespread changes provide a unique opportunity for studies using digital phenotyping tools. Digital phenotyping tools, such as mobile passive monitoring platforms (MPM), provide a new perspective on human behavior and hold promise to improve human behavioral research. However, there is currently little evidence that these tools can reliably detect changes in behavior. Considering the Considering the COVID-19 pandemic as a high impact common environmental factor we studied potential impact on behavior of participants using our mobile passive monitoring platform BEHAPP that was ambulatory tracking them during the COVID-19 pandemic. We pooled data from three MPM studies involving Schizophrenia (SZ), Major Depressive Disorder (MDD) and Bipolar Disorder (BD) patients (N = 12). We compared the data collected on weekdays during three weeks prior and three weeks subsequent to the start of the quarantine. We hypothesized an increase in communication and a decrease in mobility. We observed a significant increase in the total time spent on communication applications (median 179 and 243 min per week respectively, p = 0.005), and a significant decrease in the number of unique places visited (median 6 and 3 visits per week respectively, p = 0.007), while the total time spent at home did not change significantly (median 64 and 77 h per week, respectively, p = 0.594). The data provides a proof of principle that digital phenotyping tools can identify changes in human behavior incited by a common external environmental factor. (c) 2020 Published by Elsevier B.V.