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

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 h...

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Veröffentlicht in:JMIR mental health 2022-02, Vol.9 (2), p.e34645-e34645
Hauptverfasser: Gilley, Kristen N, Baroudi, Loubna, Yu, Miao, Gainsburg, Izzy, Reddy, Niyanth, Bradley, Christina, Cislo, Christine, Rozwadowski, Michelle Lois, Clingan, Caroline Ashley, DeMoss, Matthew Stephen, Churay, Tracey, Birditt, Kira, Colabianchi, Natalie, Chowdhury, Mosharaf, Forger, Daniel, Gagnier, Joel, Zernicke, Ronald F, Cunningham, Julia Lee, Cain, Stephen M, Tewari, Muneesh, Choi, Sung Won
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Sprache:eng
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Zusammenfassung: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
ISSN:2368-7959
2368-7959
DOI:10.2196/34645