Unexplained Variance in Hydration Study.
NHANES
big data
chronic disease
database
hydration
modeling
obesity
water intake
Journal
Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595
Informations de publication
Date de publication:
07 Aug 2019
07 Aug 2019
Historique:
received:
04
06
2019
revised:
23
07
2019
accepted:
30
07
2019
entrez:
10
8
2019
pubmed:
10
8
2019
medline:
23
1
2020
Statut:
epublish
Résumé
With the collection of water-intake data, the National Health and Nutrition Examination Survey (NHANES) is becoming an increasingly popular resource for large-scale inquiry into human hydration. However, are we leveraging this resource properly? We sought to identify the opportunities and limitations inherent in hydration-related inquiry within a commonly studied database of hydration and nutrition. We also sought to critically review models published from this dataset. We reproduced two models published from the NHANES dataset, assessing the goodness of fit through conventional means (proportion of variance, R
Identifiants
pubmed: 31394869
pii: nu11081828
doi: 10.3390/nu11081828
pmc: PMC6722508
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Déclaration de conflit d'intérêts
The authors have no personal, professional, or financial relationships that might influence this work.
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