Yunusova Asal, Lai Jocelyn, Rivera Alexander P, Hu Sirui, Labbaf Sina, Rahmani Amir M, Dutt Nikil, Jain Ramesh C, Borelli Jessica L
Department of Psychological Science, University of California, Irvine, Irvine, CA, United States.
Department of Economics, University of California, Irvine, Irvine, CA, United States.
JMIR Res Protoc. 2021 Mar 2;10(3):e25775. doi: 10.2196/25775.
Individuals can experience different manifestations of the same psychological disorder. This underscores the need for a personalized model approach in the study of psychopathology. Emerging adulthood is a developmental phase wherein individuals are especially vulnerable to psychopathology. Given their exposure to repeated stressors and disruptions in routine, the emerging adult population is worthy of investigation.
In our prospective study, we aim to conduct multimodal assessments to determine the feasibility of an individualized approach for understanding the contextual factors of changes in daily affect, sleep, physiology, and activity. In other words, we aim to use event mining to predict changes in mental health.
We expect to have a final sample size of 20 participants. Recruited participants will be monitored for a period of time (ie, between 3 and 12 months). Participants will download the Personicle app on their smartphone to track their activities (eg, home events and cycling). They will also be given wearable sensor devices (ie, devices that monitor sleep, physiology, and physical activity), which are to be worn continuously. Participants will be asked to report on their daily moods and provide open-ended text responses on a weekly basis. Participants will be given a battery of questionnaires every 3 months.
Our study has been approved by an institutional review board. The study is currently in the data collection phase. Due to the COVID-19 pandemic, the study was adjusted to allow for remote data collection and COVID-19-related stress assessments.
Our study will help advance research on individualized approaches to understanding health and well-being through multimodal systems. Our study will also demonstrate the benefit of using individualized approaches to study interrelations among stress, social relationships, technology, and mental health.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/25775.
个体可能经历同一心理障碍的不同表现形式。这凸显了在精神病理学研究中采用个性化模型方法的必要性。青年期是一个个体特别容易患精神病理学疾病的发育阶段。鉴于他们暴露于反复的压力源和日常活动的干扰中，青年人群值得研究。
在我们的前瞻性研究中，我们旨在进行多模式评估，以确定采用个性化方法理解日常情绪、睡眠、生理和活动变化的背景因素的可行性。换句话说，我们旨在使用事件挖掘来预测心理健康的变化。
我们预计最终样本量为20名参与者。招募的参与者将被监测一段时间（即3至12个月）。参与者将在其智能手机上下载Personicle应用程序以跟踪他们的活动（例如，家庭活动和骑自行车）。他们还将获得可穿戴传感器设备（即监测睡眠、生理和身体活动的设备），并需持续佩戴。参与者将被要求报告他们的日常情绪，并每周提供开放式文本回复。每3个月会给参与者发放一系列问卷。
我们的研究已获得机构审查委员会的批准。该研究目前处于数据收集阶段。由于新冠疫情，该研究进行了调整，以允许进行远程数据收集和与新冠相关的压力评估。
我们的研究将有助于推进通过多模式系统理解健康和幸福的个性化方法的研究。我们的研究还将证明使用个性化方法研究压力、社会关系、技术和心理健康之间相互关系的益处。
国际注册报告识别号（IRRID）：DERR1-10.2196/25775
