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Validity of combined hydration self-assessment measurements to estimate a low vs. high urine concentration in a small sample of (tactical) athletes.

Authors :
Wardenaar FC
Whitenack L
Vento KA
Seltzer RGN
Siegler J
Kavouras SA
Source :
European journal of nutrition [Eur J Nutr] 2024 Feb; Vol. 63 (1), pp. 185-193. Date of Electronic Publication: 2023 Oct 05.
Publication Year :
2024

Abstract

Purpose: Relationships between body weight, urine color (Uc), and thirst level (WUT) have been proposed as a simple and inexpensive self-assessment method to predict dehydration. This study aimed to determine if this method also allowed us to accurately identify a low vs. high urine concentration in (tactical) athletes.<br />Methods: A total of n = 19 Army Reserve Officer Training Corps cadets and club sports athletes (22.7 ± 3.8 years old, of which 13 male) were included in the analysis, providing morning body weight, thirst sensation, and Uc for five consecutive days. Each item received a score 0 or 1, resulting in a WUT score ranging from 0 (likely hydrated) to 3 (very likely dehydrated). WUT model and individual item outcomes were then compared with a ≥ 1.020 urine specific gravity (USG) cut-off indicating a high urine concentration, using descriptive comparisons, generalized linear mixed models, and logistic regression (to calculate the area under the curve (AUC)).<br />Results: WUT score was not significantly predictive of urine concentration, z = 1.59, p = 0.11. The AUC ranged from 0.54 to 0.77 for test days, suggesting a fair AUC on most days. Only Uc was significantly related to urine concentration, z = 2.49, p = 0.01. The accuracy of the WUT model for correctly classifying urine samples with a high concentration was 68% vs. 51% of samples with a low concentration, resulting in an average accuracy of 61%.<br />Conclusion: This study shows that WUT scores were not predictive of urine concentration, and the method did not substantially outperform the accuracy of Uc scoring alone.<br /> (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

Details

Language :
English
ISSN :
1436-6215
Volume :
63
Issue :
1
Database :
MEDLINE
Journal :
European journal of nutrition
Publication Type :
Academic Journal
Accession number :
37794214
Full Text :
https://doi.org/10.1007/s00394-023-03254-1