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Jodi D. Stookey

Researcher at Children's Hospital Oakland Research Institute

Publications -  47
Citations -  1733

Jodi D. Stookey is an academic researcher from Children's Hospital Oakland Research Institute. The author has contributed to research in topics: Urine & Urine osmolality. The author has an hindex of 20, co-authored 45 publications receiving 1531 citations. Previous affiliations of Jodi D. Stookey include Arizona State University & Stanford University.

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Hydration biomarkers in free-living adults with different levels of habitual fluid consumption

TL;DR: Bi biomarkers implicated in the assessment of hydration status, the regulation of total body water and the risk of kidney pathologies were compared, suggesting physiological adaptations to preserve plasma osmolality despite low fluid intake.
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Drinking water is associated with weight loss in overweight dieting women independent of diet and activity.

TL;DR: Data from short‐term experiments suggest that drinking water may promote weight loss by lowering total energy intake and/or altering metabolism, and the long‐term effects of drinking water on change in body weight and composition are unknown.
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Replacing sweetened caloric beverages with drinking water is associated with lower energy intake.

TL;DR: Replacing SCBs with non‐caloric diet beverages does not automatically lower energy intake, however, and compensatory increases in other food or beverages reportedly negate benefits of diet beverages.
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High prevalence of plasma hypertonicity among community-dwelling older adults: results from NHANES III.

TL;DR: Hypertonicity was positively associated with older age, Hispanic and African-American race, impaired glucose tolerance, diabetes, and hemoconcentration, and inversely associated with bioelectrical impedance analysis parameters.
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Relation between urinary hydration biomarkers and total fluid intake in healthy adults

TL;DR: Hydration biomarkers in 24hU are strongly correlated with daily total fluid intake volume in sedentary adults in free-living conditions; however, the margin of error in the present models limits the applicability of estimating fluid intake from urinary biomarkers.