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DOES A HYDRATION KNOWLEDGE AND BEHAVIOR SURVEY PREDICT PHYSIOLOGICAL HYDRATION STATUS

Abstract

Xiujing Zhao, Abigail Morris and Brendon McDermott

University of Arkansas, Fayetteville, AR

Euhydration fosters acute and chronic health while hypohydration is associated with many physiological consequences. Previous hydration surveys have been inadequate in criterion validity reflecting hydration status. PURPOSE: Investigate the association of hydration knowledge and behavior with hydration status and determine the ability of our hydration survey to predict physiological hydration status. METHODS: Ninety-five participants (59 females; 36 males, 27 ± 10y, 72.2 ± 14.4 kg) completed the previously content validated electronic hydration survey. Following survey administration, participants recorded fluid consumed, collected all urine, and tracked void frequency for 24-h. Total fluids consumed (TFC), including dry food consumption, was quantified via nutrition software (Nutritionist Pro, Attaxya Systems). Hydration status was assessed via 24-h urine specific gravity (USG), 24-h osmolality (Uosm), and void frequency. Pearson r correlations were run with SPSS (v. 28, IBM) and significance was set a priori at p< .05. Predictive analyses were conducted using standard crosstab analysis with likelihood ratio calculations. RESULTS: Urine volume for 24-h was 1933 +/- 990mL, Uosm was 436 +/- 210mosm/L and void frequency was 7 +/- 3. TFC was significantly correlated with 24-h Uosm (r = -.334; p=.002), 24-h urine volume (r = .487; p<.001), and 24-h void frequency (r = .409; p<.001). TFC was not significantly correlated with 24-h USG (r = -.132; p=.220). Hydration knowledge was not significantly correlated with 24-h Uosm (r = .082; p=.445), 24-h USG (r = .032; p=.757), 24-h urine total volume (r = .022; p=.830), or 24-h void frequency (r = .047; p=.650). Self-predicted fluid intake was not significantly correlated with 24-h Uosm (r = -.206; p=.053), 24-h USG (r = -.126; p=.230), 24-h urine volume (r = .196; p=.057), or 24-h void frequency (r = .120; p=.248). Hydration knowledge did not predict 24-h Uosm (LR+ = .664; LR- = .852) or USG (LR+ = .958; LR- = 1.018). FBI was unable to predict 24-h Uosm (LR+ = 1.345; LR- = .598) or USG (LR+ = .970; LR- = 1.070). CONCLUSION: In accordance with previous data, our hydration variables reflected similar values. Our hydration survey results were not association with, or predictive of physiological hydration status. Future studies should investigate criterion validity for hydration surveys.

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