Early Detection of COVID-19 in Female Athletes Using Wearable Technology
Rattachement africain : us, fr, Afrique du Sud. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Background: Heart rate variability (HRV), respiratory rate (RR), and resting heart rate (RHR) are common variables measured by wrist-worn activity trackers to monitor health, fitness, and recovery in athletes. Variations in RR are observed in lower-respiratory infections, and preliminary data suggest changes in HRV and RR are linked to early detection of COVID-19 infection in nonathletes. Hypothesis: Wearable technology measuring HRV, RR, RHR, and recovery will be successful for early detection of COVID-19 in NCAA Division I female athletes. Study Design: Cohort study. Level of Evidence: Level 2. Methods: Female athletes wore WHOOP, Inc. bands through the 2020 to 2021 competitive season. Of the athletes who tested positive for COVID (n = 33), 14 had enough data to be assessed (N = 14; 20.0 ± 1.3 years; 69.8 ± 7.2 kg; 172.0 ± 8.3 cm). Roughly 2 weeks of noninfected days were used to set baseline levels of HRV, RR, recovery, and RHR to compare with -3, -2, and -1 days before a positive COVID-19 result. Results: Increases in RR ( P = 0.02) were detected on day -3. RHR ( P < 0.01) and RR increased ( P < 0.01), while HRV decreased ( P < 0.05) on day -1, compared with baseline. Differences were noted in all variables on the day of the positive COVID-19 result: decreased HRV ( P < 0.05) and recovery scores ( P < 0.01), and increased RHR ( P < 0.01) and RR ( P < 0.01). Conclusion: In female athletes, wearable technology was successful in predicting COVID-19 infection through changes in RR 3 days before a positive test, and also HRV and RHR the day before a positive test. Clinical Relevance: Wearable technology may be used, as part of a multifaceted approach, for the early detection of COVID-19 in elite athletes through monitoring of HRV, RR, and RHR for overall team health.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Early Detection of COVID-19 in Female Athletes Using Wearable Technology
- Date Crossref
- 04/07/2023
- Éditeur
- SAGE Publications
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
Florida State University Institute of Sports Science and Medicine University of KwaZulu-Natal, Afrique du Sud (pays nommé en fin d’affiliation)Université ou école supérieure
-
University of Arkansas for Medical Sciences pays non établi dans la noticeUniversité ou école supérieure
-
Université Clermont Auvergne pays non établi dans la noticeUniversité ou école supérieure
-
Adaptations Métaboliques à l'Exercice en conditions Physiologiques et Pathologiques pays non établi dans la noticeStructure de recherche
-
University of Nebraska–Lincoln pays non établi dans la noticeUniversité ou école supérieure
-
University of KwaZulu-Natal University of KwaZulu-Natal, Afrique du Sud (code pays fourni par la source)Université ou école supérieure
-
University of Nebraska-Lincoln pays non établi dans la noticeUniversité ou école supérieure
Institute of Sports Science and Medicine — Florida State University (University of KwaZulu-Natal, Afrique du Sud), University of Arkansas for Medical Sciences et Université Clermont Auvergne, avec 4 autres affiliations. Pays d’affiliation : Afrique du Sud.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.