Risk Factors for COVID-19 in College Students Identified by Physical, Mental, and Social Health Reported During the Fall 2020 Semester: Observational Study Using the Roadmap App and Fitbit Wearable Sensors.
Risk Factors for COVID-19 in College Students Identified by Physical, Mental, and Social Health Reported During the Fall 2020 Semester: Observational Study Using the Roadmap App and Fitbit Wearable Sensors.
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DOI：
10.2196/34645
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发表时间：
2022-02-10
影响因子：
5.2
通讯作者：
Choi SW
中科院分区：
文献类型：
--
作者：
Gilley KN;Baroudi L;Yu M;Gainsburg I;Reddy N;Bradley C;Cislo C;Rozwadowski ML;Clingan CA;DeMoss MS;Churay T;Birditt K;Colabianchi N;Chowdhury M;Forger D;Gagnier J;Zernicke RF;Cunningham JL;Cain SM;Tewari M;Choi SW
COVID-19 大流行引发了教育向网络学习的巨大转变。美国各地有近2000万学生在大学就读，大学生长期存在的心理健康危机可能会因疫情而进一步加剧。本研究利用移动健康 (mHealth) 技术，并试图 (1) 按 COVID-19 状态描述自我报告的身体、心理和社会健康结果； (2) 通过消费级可穿戴传感器（Fitbit）评估身体活动； (3) 在疫苗发布之前确定大学生人群中与 COVID-19 阳性相关的风险因素。通过 Roadmap 2.0 应用程序完成人口统计、心理和社会健康结构的基线评估（即在时间 0 [T0]）后，参与者被指示自由使用该应用程序、佩戴 Fitbit，并在 T1、T2 和 T3 完成后续评估，然后对历史记录和 COVID-19 测试和诊断时间进行 COVID-19 评估（T4：T3 后约 14 天）。连续测量使用平均值 (SD) 值进行描述，而分类测量则总结为 n (%) 值。根据 COVID-19 状况进行正式比较。多变量模型的确定方法是一次性输入单变量关联中的所有统计显着变量（P<.05），然后通过向后选择一次删除一个变量，直到获得最佳模型。在 2020 年秋季学期，1997 名参与者同意、注册并符合数据分析标准。根据国家特质焦虑指数评估，焦虑患病率很高，分别有 465 名（24%）和 970 名（49%）学生处于中度和重度焦虑水平。大约三分之一的学生报告患有精神健康障碍（n=656，33%）。该学生群体记录的平均每日步数约为 6500 步（平均值 6474，标准差 3371）。根据 COVID-19 状态，报告的心理健康状况和步数均不显着 (P=.52)。我们的分析显示，COVID-19 阳性与使用大麻和饮酒（分别为 P=.02 和 P=.046）以及对公共卫生措施的信任度较低（P=.003）之间存在显着关联。此外，研究生报告 COVID-19 诊断的可能性较小，而室友超过 20 名的学生则更有可能报告 COVID-19 诊断 (P=.009)。心理健康问题在这个学生群体中很常见。包括物质使用在内的多种因素与 COVID-19 风险相关。这些数据突出了需要进一步关注的重要领域，例如考虑到 COVID-19 对大学生的潜在长期影响，优先考虑解决健康和福祉的创新策略。 ClinicalTrials.gov NCT04766788； https://clinicaltrials.gov/ct2/show/NCT04766788 RR2-10.2196/29561
The COVID-19 pandemic triggered a seismic shift in education to web-based learning. With nearly 20 million students enrolled in colleges across the United States, the long-simmering mental health crisis in college students was likely further exacerbated by the pandemic. This study leveraged mobile health (mHealth) technology and sought to (1) characterize self-reported outcomes of physical, mental, and social health by COVID-19 status; (2) assess physical activity through consumer-grade wearable sensors (Fitbit); and (3) identify risk factors associated with COVID-19 positivity in a population of college students prior to release of the vaccine. After completing a baseline assessment (ie, at Time 0 [T0]) of demographics, mental, and social health constructs through the Roadmap 2.0 app, participants were instructed to use the app freely, wear the Fitbit, and complete subsequent assessments at T1, T2, and T3, followed by a COVID-19 assessment of history and timing of COVID-19 testing and diagnosis (T4: ~14 days after T3). Continuous measures were described using mean (SD) values, while categorical measures were summarized as n (%) values. Formal comparisons were made on the basis of COVID-19 status. The multivariate model was determined by entering all statistically significant variables (P<.05) in univariable associations at once and then removing one variable at a time through backward selection until the optimal model was obtained. During the fall 2020 semester, 1997 participants consented, enrolled, and met criteria for data analyses. There was a high prevalence of anxiety, as assessed by the State Trait Anxiety Index, with moderate and severe levels in 465 (24%) and 970 (49%) students, respectively. Approximately one-third of students reported having a mental health disorder (n=656, 33%). The average daily steps recorded in this student population was approximately 6500 (mean 6474, SD 3371). Neither reported mental health nor step count were significant based on COVID-19 status (P=.52). Our analyses revealed significant associations of COVID-19 positivity with the use of marijuana and alcohol (P=.02 and P=.046, respectively) and with lower belief in public health measures (P=.003). In addition, graduate students were less likely and those with ≥20 roommates were more likely to report a COVID-19 diagnosis (P=.009). Mental health problems were common in this student population. Several factors, including substance use, were associated with the risk of COVID-19. These data highlight important areas for further attention, such as prioritizing innovative strategies that address health and well-being, considering the potential long-term effects of COVID-19 on college students. ClinicalTrials.gov NCT04766788; https://clinicaltrials.gov/ct2/show/NCT04766788 RR2-10.2196/29561
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影响因子：
3.1
作者：
Fauer, Alex J.;Hoodin, Flora;Choi, Sung Won
通讯作者：
Choi, Sung Won
DOI：
10.1080/07448481.2020.1803882
发表时间：
2022-07
期刊：
Journal of American college health : J of ACH
影响因子：
--
作者：
Liu CH;Pinder-Amaker S;Hahm HC;Chen JA
通讯作者：
Chen JA
影响因子：
1.7
作者：
Rozwadowski M;Dittakavi M;Mazzoli A;Hassett AL;Braun T;Barton DL;Carlozzi N;Sen S;Tewari M;Hanauer DA;Choi SW
通讯作者：
Choi SW
影响因子：
7.4
作者：
NeCamp, Timothy;Sen, Srijan;Wu, Zhenke
通讯作者：
Wu, Zhenke
影响因子：
2.2
作者：
Kedroske, Jacob;Koblick, Sarah;Choi, Sung Won
通讯作者：
Choi, Sung Won