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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
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 s...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834863/ https://www.ncbi.nlm.nih.gov/pubmed/34992051 http://dx.doi.org/10.2196/34645 |
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author | 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 |
author_facet | 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 |
author_sort | Gilley, Kristen N |
collection | PubMed |
description | 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, 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. 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 (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). 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. TRIAL REGISTRATION: ClinicalTrials.gov NCT04766788; https://clinicaltrials.gov/ct2/show/NCT04766788 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/29561 |
format | Online Article Text |
id | pubmed-8834863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-88348632022-03-10 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 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 JMIR Ment Health Original Paper 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, 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. 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 (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). 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. TRIAL REGISTRATION: ClinicalTrials.gov NCT04766788; https://clinicaltrials.gov/ct2/show/NCT04766788 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/29561 JMIR Publications 2022-02-10 /pmc/articles/PMC8834863/ /pubmed/34992051 http://dx.doi.org/10.2196/34645 Text en ©Kristen N Gilley, Loubna Baroudi, Miao Yu, Izzy Gainsburg, Niyanth Reddy, Christina Bradley, Christine Cislo, Michelle Lois Rozwadowski, Caroline Ashley Clingan, Matthew Stephen DeMoss, Tracey Churay, Kira Birditt, Natalie Colabianchi, Mosharaf Chowdhury, Daniel Forger, Joel Gagnier, Ronald F Zernicke, Julia Lee Cunningham, Stephen M Cain, Muneesh Tewari, Sung Won Choi. Originally published in JMIR Mental Health (https://mental.jmir.org), 10.02.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper 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 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834863/ https://www.ncbi.nlm.nih.gov/pubmed/34992051 http://dx.doi.org/10.2196/34645 |
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