Utility of Body Weight, Urine Color, and Thirst Perception (WUT) in Determining Hydration in Young Adults
Adams WM, Anderson T, Zaplatosch ME, Cheuvront SN, Kenefick RW, Yates BA, Morrissey-Basler MC, Casa DJ, Wideman L
Medicine and science in sports and exercise · 4 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Randomized controlled trial (indexed by PubMed)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Funding not disclosed
Publication
- Published
- 2024-07-04 · Med Sci Sports Exerc · vol. 56 · issue 12 · pp. 2404–2412
- Publisher
- Lippincott Williams & Wilkins
- Cited
- 4 citations · more than 73% of similar papers · 0.9× the field average
- References
- 34 works
- Access
- Paywalled
- Research areas
- Thermoregulation and physiological responses · Body Composition Measurement Techniques · Electrolyte and hormonal disorders
- Keywords
- Thirst, Body weight, Urine, Psychology, Perception, Medicine, Internal medicine, Neuroscience
- MeSH
- body water, urine, humans, dehydration, body weight, thirst, perception, osmolar concentration, specific gravity, color, adolescent, adult, female, male, young adult, organism hydration status
9 authors
From GB, US
- William M. AdamsLoughborough University; English Institute of Sport; University of North Carolina at Greensboro; Loughborough College; United States Olympic & Paralympic Committee
- Travis AndersonUniversity of North Carolina at Greensboro; United States Olympic & Paralympic Committee
- Mitchell E. ZaplatoschUniversity of North Carolina at Greensboro; Kennesaw State University
- Samuel N. Cheuvront
- Robert William Kenefick
- Brandon A. YatesHarvard University
Abstract
Objective
The primary aim of this study was to assess the efficacy of the weight, urine, and thirst (WUT) framework in predicting dehydration after a body water manipulation protocol, while concurrently determining the individual and interactive contributions of the model components.
Methods
The total study sample was 93 participants (female, n = 47), recruited from two institutions. Phase 1 involved collecting daily hydration measures from free-living participants (study 1, 58 participants for 3 d; study 2, 35 participants for 7 d). Phase 2 entailed a 2-h passive heating protocol, where participants from study 2 were randomly assigned to one of three groups that manipulated total body water over 24 h using passive heating and fluid restriction. During each phase, participants provided urine samples, underwent body mass measurements, and completed questionnaires pertaining to thirst perception. Morning and 24-h urine samples were assessed for color, osmolality, and specific gravity. Differences between intervention groups, based on the probability of hydration status, were examined (ANOVA), and ridge regression analysis assessed the relative importance of variables within the WUT model.
Results
The study revealed significant differences among the intervention groups for predicted probability of dehydration, as determined by changes in body mass ( P = 0.001), urine color ( P = 0.044), and thirst perception ( P < 0.001). Binomial ridge regression indicated that changes in body mass (58%) and thirst perception (26%) were the most influential predictors of dehydration.
Conclusions
These data support use of an enhanced version of the WUT model, underscoring the significance of changes in body mass and thirst perception in the assessment of hydration status.
Abstract via Europe PMC. Copyright remains with the authors or publisher.
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