Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based Approach

Previous work focusing on understanding nutrient intake and its association with total body water homeostasis neglects to consider the collinearity of types of nutrients consumed and subsequent associations with hydration biomarkers. Therefore, the purpose of this study was to analyze consumption pa...

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Main Authors: William M. Adams, Michael Wininger, Mitchell E. Zaplatosch, Derek J. Hevel, Jaclyn P. Maher, Jared T. McGuirt
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/12/10/2933
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spelling doaj-e8dc103a58674382b492ccd88f0728582020-11-25T03:27:53ZengMDPI AGNutrients2072-66432020-09-01122933293310.3390/nu12102933Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based ApproachWilliam M. Adams0Michael Wininger1Mitchell E. Zaplatosch2Derek J. Hevel3Jaclyn P. Maher4Jared T. McGuirt5Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC 27412, USACooperative Studies Program, Department of Veterans Affairs, West Haven, CT 06516, USADepartment of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC 27412, USADepartment of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC 27412, USADepartment of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC 27412, USADepartment of Nutrition, University of North Carolina at Greensboro, Greensboro, NC 27412, USAPrevious work focusing on understanding nutrient intake and its association with total body water homeostasis neglects to consider the collinearity of types of nutrients consumed and subsequent associations with hydration biomarkers. Therefore, the purpose of this study was to analyze consumption patterns of 23 a priori selected nutrients involved in osmotic homeostasis, as well as their association with 24 h urinary hydration markers among fifty African–American first-year college students through a repeated measures observation in a daily living setting. Through application of hierarchical clustering, we were able to identity four clusters of nutrients based on 24 h dietary recalls: (1) alcohol + pinitol, (2) water + calcium + magnesium + erythritol + inositol + sorbitol + xylitol, (3) total calories + total fat + total protein + potassium + sodium + zinc + phosphorous + arginine, and (4) total carbohydrates + total fiber + soluble fiber + insoluble fiber + mannitol + betaine. Furthermore, we found that consumption of nutrients in Cluster #2 was significantly predictive of urine osmolality (<i>p</i> = 0.004); no other clusters showed statistically significant associations with 24 h urinary hydration biomarkers. We conclude that there may be some nutrients that are commonly consumed concomitantly (at the day level), across a variety of settings and populations, and that a limited subset of the clustering of these nutrients may associate with body water status.https://www.mdpi.com/2072-6643/12/10/2933urine osmolalityfluid homeostasiswatermacronutrientsurine volumemicronutrients
collection DOAJ
language English
format Article
sources DOAJ
author William M. Adams
Michael Wininger
Mitchell E. Zaplatosch
Derek J. Hevel
Jaclyn P. Maher
Jared T. McGuirt
spellingShingle William M. Adams
Michael Wininger
Mitchell E. Zaplatosch
Derek J. Hevel
Jaclyn P. Maher
Jared T. McGuirt
Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based Approach
Nutrients
urine osmolality
fluid homeostasis
water
macronutrients
urine volume
micronutrients
author_facet William M. Adams
Michael Wininger
Mitchell E. Zaplatosch
Derek J. Hevel
Jaclyn P. Maher
Jared T. McGuirt
author_sort William M. Adams
title Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based Approach
title_short Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based Approach
title_full Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based Approach
title_fullStr Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based Approach
title_full_unstemmed Influence of Nutrient Intake on 24 Hour Urinary Hydration Biomarkers Using a Clustering-Based Approach
title_sort influence of nutrient intake on 24 hour urinary hydration biomarkers using a clustering-based approach
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2020-09-01
description Previous work focusing on understanding nutrient intake and its association with total body water homeostasis neglects to consider the collinearity of types of nutrients consumed and subsequent associations with hydration biomarkers. Therefore, the purpose of this study was to analyze consumption patterns of 23 a priori selected nutrients involved in osmotic homeostasis, as well as their association with 24 h urinary hydration markers among fifty African–American first-year college students through a repeated measures observation in a daily living setting. Through application of hierarchical clustering, we were able to identity four clusters of nutrients based on 24 h dietary recalls: (1) alcohol + pinitol, (2) water + calcium + magnesium + erythritol + inositol + sorbitol + xylitol, (3) total calories + total fat + total protein + potassium + sodium + zinc + phosphorous + arginine, and (4) total carbohydrates + total fiber + soluble fiber + insoluble fiber + mannitol + betaine. Furthermore, we found that consumption of nutrients in Cluster #2 was significantly predictive of urine osmolality (<i>p</i> = 0.004); no other clusters showed statistically significant associations with 24 h urinary hydration biomarkers. We conclude that there may be some nutrients that are commonly consumed concomitantly (at the day level), across a variety of settings and populations, and that a limited subset of the clustering of these nutrients may associate with body water status.
topic urine osmolality
fluid homeostasis
water
macronutrients
urine volume
micronutrients
url https://www.mdpi.com/2072-6643/12/10/2933
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