Impact of Nutrient Intake on Hydration Biomarkers Following Exercise and Rehydration Using a Clustering-Based Approach

被引：3

作者：

Munoz, Colleen X. ^{[1
]}

Johnson, Evan C. ^{[2
]}

Kunces, Laura J. ^{[3
]}

McKenzie, Amy L. ^{[4
]}

Wininger, Michael ^{[1
,5
,6
]}

Butts, Cory L. ^{[7
]}

Caldwell, Aaron ^{[7
]}

Seal, Adam ^{[7
,8
]}

McDermott, Brendon P. ^{[7
]}

Vingren, Jakob ^{[9
]}

Colburn, Abigail T. ^{[10
]}

Wright, Skylar S. ^{[10
]}

Lopez, Virgilio, III ^{[10
]}

Armstrong, Lawrence E. ^{[10
]}

Lee, Elaine C. ^{[10
]}

机构：

[1] Univ Hartford, Dept Hlth Sci, Hartford, CT 06117 USA

[2] Univ Wyoming, Div Kinesiol & Hlth, Laramie, WY 82071 USA

[3] Onegev Hlth, New York, NY 10019 USA

[4] Virta Hlth, San Francisco, CA 94105 USA

[5] Yale Sch Publ Hlth, New Haven, CT 06511 USA

[6] Dept Vet Affairs, West Haven, CT 06516 USA

[7] Univ Arkansas, Dept Hlth Promot & Human Performance, Weber State Univ, Fayetteville, AR 72701 USA

[8] Calif Polytech State Univ San Luis Obispo, San Luis Obispo, CA 93407 USA

[9] Univ North Texas, Dept Biol Sci, Denton, TX 76203 USA

[10] Univ Connecticut, Dept Kinesiol, Human Performance Lab, Storrs, CT 06269 USA

来源：

NUTRIENTS | 2020年 / 12卷 / 05期

关键词：

hydration; nutrition; sport nutrition; exercise; copeptin; collinearity; clustering; POSTEXERCISE REHYDRATION; FLUID REPLACEMENT; RANDOMIZED-TRIAL; BODY-WATER; ELECTROLYTE; SODIUM; CAFFEINE; VOLUME; RETENTION; INGESTION;

D O I：

10.3390/nu12051276

中图分类号：

R15 [营养卫生、食品卫生]; TS201 [基础科学];

学科分类号：

100403 ;

摘要：

We investigated the impact of nutrient intake on hydration biomarkers in cyclists before and after a 161 km ride, including one hour after a 650 mL water bolus consumed post-ride. To control for multicollinearity, we chose a clustering-based, machine learning statistical approach. Five hydration biomarkers (urine color, urine specific gravity, plasma osmolality, plasma copeptin, and body mass change) were configured as raw- and percent change. Linear regressions were used to test for associations between hydration markers and eight predictor terms derived from 19 nutrients merged into a reduced-dimensionality dataset through serial k-means clustering. Most predictor groups showed significant association with at least one hydration biomarker: (1) Glycemic Load + Carbohydrates + Sodium, (2) Protein + Fat + Zinc, (3) Magnesium + Calcium, (4) Pinitol, (5) Caffeine, (6) Fiber + Betaine, and (7) Water; potassium + three polyols, and mannitol + sorbitol showed no significant associations with any hydration biomarker. All five hydration biomarkers were associated with at least one nutrient predictor in at least one configuration. We conclude that in a real-life scenario, some nutrients may serve as mediators of body water, and urine-specific hydration biomarkers may be more responsive to nutrient intake than measures derived from plasma or body mass.

引用

页数：17

共 14 条

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