The Relationships between Water Intake and Hydration Biomarkers and the Applications for Assessing Adequate Total Water Intake among Young Adults in Hebei, China
Zhang J, Ma G, Du S, Zhang N
Nutrients · 8 citations
How it was studied
- Design
- Cross-sectional study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- Government
- National Natural Science Foundation of China
- Grants
- National Natural Science Foundation of China (81673146)
Based on 1 listed funder(s).
Publication
- Published
- 2021-10-26 · Nutrients · vol. 13 · issue 11 · p. 3805
- Publisher
- Multidisciplinary Digital Publishing Institute
- Cited
- 17 citations · more than 85% of similar papers · 1.7× the field average
- References
- 41 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Thermoregulation and physiological responses · Dietary Effects on Health · Body Composition Measurement Techniques
- Keywords
- Urine, Dehydration, Logistic regression, Receiver operating characteristic, Urinary system, Medicine, Cutoff, Fluid intake, Urine osmolality, Young adult, Animal science, Internal medicine, Chemistry, Biology, Biochemistry
- MeSH
- urine, humans, dehydration, logistic models, least-squares analysis, cross-sectional studies, roc curve, water-electrolyte balance, drinking, osmolar concentration, adolescent, china, female, male, young adult, urine specimen collection, biomarkers, organism hydration status
4 authors
From CN
- Jianfen ZhangPeking University
- Guansheng MaPeking University
- Songming DuChinese Nutrition Society
- Na Zhang · correspondingPeking University
Abstract
Water is an essential nutrient for humans. A cross-sectional study was conducted among 159 young adults aged 18-23 years in Hebei, China. The total drinking fluids and water from food were obtained by 7-day 24 h fluid intake questionnaires and the duplicate portion method, respectively. Pearson's correlation coefficients were performed to determine the relationship between fluid intake and 24 h urinary biomarkers and plasma biomarkers. A multivariable partial least squares (PLS) model was used to identify the key predictors in modeling the total water intake (TWI) with 24 h urine biomarkers. Logistic regressions of the TWI against binary variables were performed, and the receiver operating characteristic curve (ROC) was analyzed to determine the cutoff value of the TWI for the optimal hydration status and dehydration without adjustments to favor either the sensitivity or specificity. In total, 156 participants (80 males and 76 females) completed the study. Strong relationships were found between the total drinking fluids, TWI, and 24 h urine biomarkers among young adults, especially for the 24 h urine volume (r = 0.784, p r = 0.747, p r = -0.589, p r = -0.477, p < 0.001), respectively. As for the FMU and plasma biomarkers, no strong relationships were found. The percentages of the variance in TWI explained by the PLS model with 13 urinary biomarkers were 66.9%. The optimal TWI values for assessing the optimal hydration and dehydration were 2892 mL and 2482 mL for young males, respectively, and 2139 mL and 1507 mL for young females, respectively. Strong relationships were found between the TWI, total drinking fluids, and 24 h urine biomarkers, but not with the FMU and plasma biomarkers, among young adults, including males and females. The 24 h urine biomarkers were more sensitive than the first morning urinary biomarkers in reflecting the fluid intake. The TWI was a reliable index for assessing the hydration statuses for young adults in free-living conditions.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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