Studying Students at Risk for COVID-19

Conditions

Covid19

Keywords

Wearable Sensors, students

Brief summary

The goal of this longitudinal observational study is to learn about how the COVID-19 has impacted and continues to impact students at the University of Michigan. We hope to determine whether a combination of (1) continuous heart rate obtained from wearable devices, (2) self-reported data from surveys and symptom logs, and (3) saliva samples can be used to help students self-monitor for infection and eventually be able to create a predictive model to detect illness early.

Detailed description

The study was originally intended to last one year, however, it was expanded to follow the study participants over several years. During this study, participants will be asked to: * Provide a baseline self-collected saliva sample * Download and use a suite of mobile apps (e.g., Fitbit, Social Rhythms, Roadmap 2.0) * Complete surveys online * Wear non-invasive Fitbit smartwatch * Grant the study team access to their university academic records (optional) The study will use these tools to monitor participants' physical activity and mental health over the course of at least three years. The study will also examine whether there is a connection between mental health and academic performance.

Gautham Jayaraj, Xiao Cao, Adam G. Horwitz, Michelle Rozwadowski, Steve Shea et al. (10 authors)

Journal of Medical Internet Research2024-12-104 citations

10.2196/67627

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

Kristen N. Gilley, Loubna Baroudi, Miao Yu, Izzy Gainsburg, Niyanth Reddy et al. (21 authors)

JMIR Mental Health2022-01-0616 citations

10.2196/34645

Monitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study

Christine Cislo, Caroline Clingan, Kristen N. Gilley, Michelle Rozwadowski, Izzy Gainsburg et al. (17 authors)

JMIR Research Protocols2021-06-0413 citations

10.2196/29561

Interventions

OTHERWearable devices, saliva samples, survey measures

Provide a self-collected saliva sample, download and use the suite of apps (e.g., Fitbit, Social Rhythms, Roadmap 2.0), and answer online surveys.

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* Students at the University of Michigan who have moved back to Ann Arbor or who are completing schooling completely online. * For those completing school online, must be able to provide a mailing address within the United States where they can receive study tools * Possession of a smartphone (Apple or Andriod) * Ability to understand and demonstrate willingness to sign a written informed consent.

Exclusion criteria

* Unwilling or unable to comply with the study procedures.

Design outcomes

Primary

Measure	Time frame	Description
Feasibility of wearing Fitbit device	4 months	Feasibility will will be defined as wearing the Fitbit watch at least 8 hours per day up to at least 5 days of the week

Secondary

Measure	Time frame	Description
Survey completion	Up to 9 months	Completion will be measured by the number of participants who complete the study surveys
Saliva sample	Up to 4 months	Analyze samples to determine a possible early prediction/detection model for COVID-19
Continuous heart rate	Up to 8 months	Analyze heart rate data to determine a possible early prediction/detection model for COVID-19
Mental well-being	Up to 9 months	Assess participant mental well-being during the COVID-19 pandemic and if the use of health and well-being applications impacts self-rated well-being

Countries

United States

Outcome results

None listed