Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk.
Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk.
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DOI：
10.3389/fpsyt.2021.618442
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发表时间：
2021
影响因子：
4.7
通讯作者：
Crowell SE
中科院分区：
文献类型：
--
作者：
Vlisides-Henry RD;Gao M;Thomas L;Kaliush PR;Conradt E;Crowell SE
通过智能手机活动（即被动行为监测）进行道德和双方同意的数字表型分析，可以测量与以往不同的时间风险轨迹。这种数据收集方式可能特别适合于捕捉情绪失调，这是一种跨生命周期过渡的精神病理学的跨诊断风险因素。青春期、成年初显期和围产期过渡期是特别敏感的发育时期，通常以痛苦增加为特征。这些参与者群体通常使用基于实验室的方法进行评估，这些方法可能成本高昂且负担沉重。被动监测提供了一种相对具有成本效益和不引人注目的方式来收集有关情绪失调和风险行为的丰富客观信息。我们首先讨论与情绪失调和被动监测有关的关键理论驱动概念。然后，我们确定了可以被动测量的变量，并有望更好地理解情绪失调。例如，情绪失调的两个强烈标志是睡眠障碍和有问题地使用互联网/社交媒体（即，使用会引发负面情绪/结果）。与移动性相关的变量也可能是有用的标记，尽管这些变量应该根据每个发育阶段的独特特征进行调整。最后，我们提供了我们对候选数字变量的看法，这些变量可能对每个发展转变有用。基于智能手机的被动监测是一种严谨的方法，可以阐明人类发展过程中的精神病理风险。尽管如此，它的使用需要研究人员权衡独特的伦理考虑，检查相关理论，并考虑可能影响实施的发育特定的寿命特征。
Ethical and consensual digital phenotyping through smartphone activity (i. e., passive behavior monitoring) permits measurement of temporal risk trajectories unlike ever before. This data collection modality may be particularly well-suited for capturing emotion dysregulation, a transdiagnostic risk factor for psychopathology, across lifespan transitions. Adolescence, emerging adulthood, and perinatal transitions are particularly sensitive developmental periods, often marked by increased distress. These participant groups are typically assessed with laboratory-based methods that can be costly and burdensome. Passive monitoring presents a relatively cost-effective and unobtrusive way to gather rich and objective information about emotion dysregulation and risk behaviors. We first discuss key theoretically-driven concepts pertaining to emotion dysregulation and passive monitoring. We then identify variables that can be measured passively and hold promise for better understanding emotion dysregulation. For example, two strong markers of emotion dysregulation are sleep disturbance and problematic use of Internet/social media (i.e., use that prompts negative emotions/outcomes). Variables related to mobility are also potentially useful markers, though these variables should be tailored to fit unique features of each developmental stage. Finally, we offer our perspective on candidate digital variables that may prove useful for each developmental transition. Smartphone-based passive monitoring is a rigorous method that can elucidate psychopathology risk across human development. Nonetheless, its use requires researchers to weigh unique ethical considerations, examine relevant theory, and consider developmentally-specific lifespan features that may affect implementation.
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作者：
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DOI：
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