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 (Preprint)
Authors: 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 
Published: November 2021

BACKGROUND

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.

OBJECTIVE

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.

METHODS

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<i>,</i> 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 (<i>P</i>&lt;.05) in univariable associations at once and then removing one variable at a time through backward selection until the optimal model was obtained.

RESULTS

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 (<i>P</i>=.52). Our analyses revealed significant associations of COVID-19 positivity with the use of marijuana and alcohol (<i>P</i>=.02 and <i>P</i>=.046, respectively) and with lower belief in public health measures (<i>P</i>=.003). In addition, graduate students were less likely and those with ≥20 roommates were more likely to report a COVID-19 diagnosis (<i>P</i>=.009).

CONCLUSIONS

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.

CLINICALTRIAL

ClinicalTrials.gov NCT04766788; https://clinicaltrials.gov/ct2/show/NCT04766788

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/29561