Accuracy of a smart bottle in measuring fluid intake by American football players during pre-season training.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
14 07 2023
Historique:
received: 29 03 2023
accepted: 11 07 2023
medline: 17 7 2023
pubmed: 15 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

Rehydration is important for athlete performance and recovery. However, it can be challenging to follow appropriate fluid replacement practices due in part to difficulties in tracking fluid intake in real time. The purpose of this study was to determine the accuracy of a smart bottle in measuring fluid intake during exercise. Thirty male American football athletes drank from bottles equipped with a smart cap during outdoor pre-season practices (110 ± 30 min; 29.3 ± 3.0 °C; 75 ± 11% rh). The cap technology included optical sensors, microprocessors, batteries, and wireless connectivity that transmitted fluid volume data to a smartphone application in real-time. Reference measurements of fluid intake from the smart bottle were determined by gravimetry followed by conversion to volume using the density of the fluid consumed. There was no significant mean difference in fluid intake between the smart bottle and reference method (1220 ± 371 ml vs. 1236 ± 389 ml, p = 0.39 paired t test). Bland-Altman 95% limits of agreement between methods was - 212 to 180 ml. The smart bottle provided accurate measurements of fluid intake during exercise in real-world field conditions on a group level and within limits of agreement of - 212 to 180 ml (or approximately ± 15% of overall fluid intake) on an individual level.

Identifiants

pubmed: 37452208
doi: 10.1038/s41598-023-38613-9
pii: 10.1038/s41598-023-38613-9
pmc: PMC10349061
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

11383

Informations de copyright

© 2023. The Author(s).

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Auteurs

Lindsay B Baker (LB)

Gatorade Sports Science Institute, PepsiCo R&D Life Sciences, 50 E. Stevens Ave., Valhalla, NY, 10595, USA. Lindsay.Baker@pepsico.com.

Shelby Alfred (S)

Gatorade Sports Science Institute, PepsiCo R&D Life Sciences, 50 E. Stevens Ave., Valhalla, NY, 10595, USA.

Khalil A Lee (KA)

Gatorade Sports Science Institute, PepsiCo R&D Life Sciences, Bradenton, FL, USA.

Justina L Bonsignore (JL)

Gatorade Sports Science Institute, PepsiCo R&D Life Sciences, Bradenton, FL, USA.

Kristin L Osterberg (KL)

Gatorade Sports Science Institute, PepsiCo R&D Life Sciences, Bradenton, FL, USA.

Brandon Shepherd (B)

Gatorade Sports Science Institute, PepsiCo R&D Life Sciences, Bradenton, FL, USA.

Peter John D De Chavez (PJD)

Data Science and Analytics, PepsiCo R&D, Plano, TX, USA.

Kobi Bentkovski (K)

ImpacX.io Ltd, Rehovot, Israel.

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Classifications MeSH