Abstract

Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each participant attended a virtual visit to complete a series of gold-standard mental health assessments, and then used a mobile app for 28 days to complete mood assessments and allow for passive collection of GPS, accelerometer, phone call, and screen time data. Students completed another virtual visit at the end of the study to collect a second round of mental health assessments. Results: In-app daily mood assessments were strongly correlated with their corresponding gold standard clinical assessment. Sleep variance among students was correlated to depression scores (ρ = .28) and stress scores (ρ = .27). Conclusions: Digital Phenotyping among college students is feasible on both an individual and a sample level. Studies with larger sample sizes are necessary to understand population trends, but there are practical applications of the data today.

摘要

目标：本研究评估了在 COVID-19 大流行期间捕获大学生基于智能手机的数字表型数据的可行性，目的是了解行为的数字生物标志物如何与心理健康相关。参与者：参与者是 100 名就读于 4 年制大学的学生。方法：每个参与者都参加了一次虚拟访问以完成一系列黄金标准的心理健康评估，然后使用移动应用程序 28 天来完成情绪评估并允许被动收集 GPS、加速度计、电话和屏幕时间数据. 学生在研究结束时完成了另一次虚拟访问，以收集第二轮心理健康评估。结果：应用内日常情绪评估与其相应的黄金标准临床评估密切相关。学生之间的睡眠差异与抑郁评分 (ρ = .28) 和压力评分 (ρ = .27) 相关。结论：大学生数字表型分析在个体和样本水平上都是可行的。有必要进行更大样本量的研究以了解人口趋势，但如今这些数据有实际应用。