Chen I-Ming, Chen Yi-Ying, Liao Shih-Cheng, Lin Yu-Hsuan
Department of Psychiatry, National Taiwan University Hospital, Taipei 100, Taiwan.
Department of Psychiatry, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
J Pers Med. 2022 Jun 6;12(6):936. doi: 10.3390/jpm12060936.
The development of precision psychiatry is largely based on multi-module measurements from the molecular, cellular, and behavioral levels, which are integrated to assess neurocognitive performances and clinically observed psychopathology. Nevertheless, quantifying mental activities and functions accurately and continuously has been a major difficulty within this field. This article reviews the latest efforts that utilize mobile apps to collect human-smartphone interaction data and contribute towards digital biomarkers of mental illnesses. The fundamental principles underlying a behavioral analysis with mobile apps were introduced, such as ways to monitor smartphone use under different circumstances and construct long-term patterns and trend changes. Examples were also provided to illustrate the potential applications of mobile apps that gain further insights into traditional research topics in occupational health and sleep medicine. We suggest that, with an optimized study design and analytical approach that accounts for technical challenges and ethical considerations, mobile apps will enhance the systemic understanding of mental illnesses.
精准精神病学的发展很大程度上基于从分子、细胞和行为水平进行的多模块测量，这些测量被整合起来以评估神经认知表现和临床观察到的精神病理学。然而，准确且持续地量化心理活动和功能一直是该领域的一个主要难题。本文回顾了利用移动应用程序收集人类与智能手机交互数据并为精神疾病数字生物标志物做出贡献的最新努力。介绍了使用移动应用程序进行行为分析的基本原理，例如在不同情况下监测智能手机使用情况以及构建长期模式和趋势变化的方法。还提供了一些示例，以说明移动应用程序在深入了解职业健康和睡眠医学等传统研究主题方面的潜在应用。我们建议，通过优化的研究设计和分析方法，同时考虑技术挑战和伦理考量，移动应用程序将增强对精神疾病的系统理解。
