Monitoring beliefs and physiological measures in students at risk for COVID-19 using wearable sensors and smartphone technology: Protocol for a mobile health study.

Autor:	Cislo C; Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan, 1500 E. Medical Center DrD4118 Medical Professional Building, Ann Arbor, US., Clingan C; Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan, 1500 E. Medical Center DrD4118 Medical Professional Building, Ann Arbor, US., Gilley K; Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan, 1500 E. Medical Center DrD4118 Medical Professional Building, Ann Arbor, US., Rozwadowski M; Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan, 1500 E. Medical Center DrD4118 Medical Professional Building, Ann Arbor, US.; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, US., Gainsburg I; Management and Organizations Area, Ross School of Business, University of Michigan, Ann Arbor, US., Bradley C; Management and Organizations Area, Ross School of Business, University of Michigan, Ann Arbor, US., Barabas J; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, US., Sandford E; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, US., Olesnavich M; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, US., Tyler J; Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan, 1500 E. Medical Center DrD4118 Medical Professional Building, Ann Arbor, US.; Department of Mathematics, University of Michigan, Ann Arbor, US., Mayer C; Department of Mathematics, University of Michigan, Ann Arbor, US., DeMoss M; Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan, 1500 E. Medical Center DrD4118 Medical Professional Building, Ann Arbor, US.; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, US., Flora C; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, US., Forger DB; Department of Mathematics, University of Michigan, Ann Arbor, US., Cunningham JL; Management and Organizations Area, Ross School of Business, University of Michigan, Ann Arbor, US., Tewari M; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, US.; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, US.; Department of Biomedical Engineering, University of Michigan, Ann Arbor, US., Choi SW; Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan, 1500 E. Medical Center DrD4118 Medical Professional Building, Ann Arbor, US.; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, US.
Jazyk:	angličtina
Zdroj:	JMIR research protocols [JMIR Res Protoc] 2021 Jun 04. Date of Electronic Publication: 2021 Jun 04.
DOI:	10.2196/29561
Abstrakt:	Background: The COVID-19 pandemic has impacted lives significantly and greatly affected an already vulnerable population, college students, in relation to mental health and public safety. Social distancing and isolation have brought about challenges to student's mental health. Mobile health apps and wearable sensors may help to monitor students at risk for COVID-19 and support their mental well-being. Objective: Through the use of a wearable sensor and smartphone-based survey completion, this study aimed to monitor students at risk for COVID-19. Methods: We conducted a prospective study of students, undergraduate and graduate, at a public university in the Midwest. Students were instructed to download the Fitbit, Social Rhythms, and Roadmap 2.0 apps onto their personal mobile devices (Android or iOS). Subjects consented to provide up to 10 saliva samples during the study period. Surveys were administered through the Roadmap 2.0 app at five timepoints - at baseline, 1-month later, 2-months later, 3-months later, and at study completion. The surveys gathered information regarding demographics, COVID-19 diagnoses and symptoms, and mental health resilience, with the aim of documenting the impact of COVID-19 on the college student population. Results: This study enrolled 2,158 college students between September 2020 and January 2021. Subjects are currently being followed on-study for one academic year. Data collection and analysis are ongoing. Conclusions: This study examined student health and well-being during the COVID-19 pandemic. It also assessed the feasibility of wearable sensor use and survey completion in a college student population, which may inform the role of our mobile health tools on student health and well-being. Finally, using wearable sensor data, biospecimen collection, and self-reported COVID-19 diagnosis, our results may provide key data towards the development of a model for the early prediction and detection of COVID-19. Clinicaltrial: ClinicalTrials.gov NCT04766788.
Databáze:	MEDLINE
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