Literature DB >> 24129362

Assessment of hydration biomarkers including salivary osmolality during passive and active dehydration.

C X Muñoz1, E C Johnson, J K Demartini, R A Huggins, A L McKenzie, D J Casa, C M Maresh, L E Armstrong.   

Abstract

BACKGROUND/
OBJECTIVES: Hydration state can be assessed via body mass change (BMΔ), serum and urine osmolality (Sosm, Uosm), urine-specific gravity (Usg) and urine volume (Uvol). As no hydration index has been shown to be valid in all circumstances, value exists in exploring novel biomarkers such as salivary osmolality (Vosm). Utilizing acute BMΔ as the reference standard, this research examined the efficacy of Sosm, Vosm, Uosm, Uvol and Usg, during passive (PAS) and active (ACT) heat exposure. SUBJECTS/
METHODS: Twenty-three healthy men (age, 22±3 years; mass, 77.3±12.8 kg; height, 179.9±8.8cm; body fat, 10.6±4.5%) completed two randomized 5-h dehydration trials (36±1 °C). During PAS, subjects sat quietly, and during ACT, participants cycled at 68±6% maximal heart rate. Investigators measured all biomarkers at each 1% BMΔ.
RESULTS: Average mass loss during PAS was 1.4±0.3%, and 4.1±0.7% during ACT. Significant between-treatment differences at -1% BMΔ were observed for Sosm (PAS, 296±4; ACT, 301±4 mOsm/kg) and Uosm (PAS, 895±207; ACT, 661±192 mOsm/kg). During PAS, only Uosm, Uvol and Usg increased significantly (-1 and -2% BMΔ versus baseline). During ACT, Vosm most effectively diagnosed dehydration 2% (sensitivity=86%; specificity=91%), followed by Sosm (sensitivity=83%; specificity=83%). Reference change values were validated for Sosm, Usg and BMΔ.
CONCLUSIONS: The efficacy of indices to detect dehydration 2% differed across treatments. At rest (PAS), only urinary indices increased in concert with body water loss. During exercise (ACT), Sosm and Vosm exhibited the highest sensitivity and specificity. Sosm, Usg and BMΔ exhibited validity in serial measurements. These findings indicate hydration biomarkers should be selected by considering daily activities.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24129362     DOI: 10.1038/ejcn.2013.195

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  22 in total

1.  Reliability of 24-h void frequency as an index of hydration status when euhydrated and hypohydrated.

Authors:  M A Tucker; M A Gonzalez; J D Adams; J M Burchfield; N E Moyen; F B Robinson; B A Schreiber; M S Ganio
Journal:  Eur J Clin Nutr       Date:  2016-02-10       Impact factor: 4.016

2.  Monkeys choose as if maximizing utility compatible with basic principles of revealed preference theory.

Authors:  Alexandre Pastor-Bernier; Charles R Plott; Wolfram Schultz
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-15       Impact factor: 11.205

3.  National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active.

Authors:  Brendon P McDermott; Scott A Anderson; Lawrence E Armstrong; Douglas J Casa; Samuel N Cheuvront; Larry Cooper; W Larry Kenney; Francis G O'Connor; William O Roberts
Journal:  J Athl Train       Date:  2017-09       Impact factor: 2.860

4.  Accuracy of Urine Color to Detect Equal to or Greater Than 2% Body Mass Loss in Men.

Authors:  Amy L McKenzie; Colleen X Muñoz; Lawrence E Armstrong
Journal:  J Athl Train       Date:  2015-12-07       Impact factor: 2.860

5.  Characterization of the effects of the vasopressin V2 receptor on sweating, fluid balance, and performance during exercise.

Authors:  Tamara Hew-Butler; Jed Hummel; Brian C Rider; Joseph G Verbalis
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2014-06-18       Impact factor: 3.619

6.  Reliability of Three Urine Specific Gravity Meters Measuring Brix and Urine Solutions at Different Temperatures.

Authors:  Floris Wardenaar; Carmen P Ortega-Santos; Kaila Vento; Stephanie Olzinski; Jason Olig; Stavros Kavouras; Carol Johnston
Journal:  J Athl Train       Date:  2021-03-31       Impact factor: 2.860

7.  Validation of a urine color scale for assessment of urine osmolality in healthy children.

Authors:  Stavros A Kavouras; Evan C Johnson; Dimitris Bougatsas; Giannis Arnaoutis; Demosthenes B Panagiotakos; Erica Perrier; Alexis Klein
Journal:  Eur J Nutr       Date:  2015-04-24       Impact factor: 5.614

8.  Intraocular Pressure Is a Poor Predictor of Hydration Status following Intermittent Exercise in the Heat.

Authors:  Ian B Stewart; Brittany Dias; David N Borg; Aaron J E Bach; Beatrix Feigl; Joseph T Costello
Journal:  Front Physiol       Date:  2017-02-01       Impact factor: 4.566

9.  COVID-19 and dysnatremia: A comparison between COVID-19 and non-COVID-19 respiratory illness.

Authors:  Philip Jgm Voets; Sophie C Frölke; Nils Pj Vogtländer; Karin Ah Kaasjager
Journal:  SAGE Open Med       Date:  2021-06-30

Review 10.  Molecular and physical technologies for monitoring fluid and electrolyte imbalance: A focus on cancer population.

Authors:  Devasier Bennet; Yasaman Khorsandian; Jody Pelusi; Amy Mirabella; Patrick Pirrotte; Frederic Zenhausern
Journal:  Clin Transl Med       Date:  2021-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.