The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Hydration Biomarkers and Dietary Fluid Consumption of Women
Overview
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In the citing paper
“The physical characteristics of a rehydration beverage can dramatically influence fluid replacement. Salinity, color, sweetness, temperature, flavor, carbonation, and viscosity all affect how much an individual drinks. 51,91,140”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [140]
In the citing paper
“The physical characteristics of a rehydration beverage can dramatically influence fluid replacement. Salinity, color, sweetness, temperature, flavor, carbonation, and viscosity all affect how much an individual drinks. 51,91,140”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [140]
In the citing paper
“Individuals exercising in the heat will voluntarily ingest more fluid if it is chilled. 51,140”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [140]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
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Citations
Cites
Biological variation and diagnostic accuracy of dehydration assessment markers
Cheuvront, S. N., Ely, B. R., Kenefick, R. W., & Sawka, M. N. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29490 · Cited by 367
Use of a Urine Color Chart to Monitor Hydration Status in Nursing Home Residents
Mentes, J. C., Wakefield, B., & Culp, K. (2006) · Biological Research For Nursing · doi:10.1177/1099800405281607 · Cited by 94
Research works printed but not linked: 10
- Shore, 1988, Endocrine and renal response to water loading and water restriction in normal man, Clin Sci, 75, 171, 10.1042/cs0750171 · DOI
- Armstrong, 2007, Assessing hydration status: The elusive gold standard, J Am Coll Nutr, 26, 575S, 10.1080/07315724.2007.10719661 · DOI · Paper page
- Armstrong, 1994, Urinary indices of hydration status, Int J Sport Nutr, 4, 265, 10.1123/ijsn.4.3.265 · DOI · Paper page
- Armstrong, 2010, Human hydration indices: Acute and longitudinal reference values, Int J Sport Nutr Exerc Metab, 20, 145, 10.1123/ijsnem.20.2.145 · DOI · Paper page
- Dill, 1974, Calculation of percentage changes in volumes of blood, plasma, and red cells in dehydration, J Appl Physiol, 37, 247, 10.1152/jappl.1974.37.2.247 · DOI · Paper page
- Hew, 2005, Women hydrate more than men during a marathon race, Clin J Sports Med, 15, 148, 10.1097/01.jsm.0000157652.47572.56 · DOI
- Casa, 2000, National Athletic Training Association position statement: Fluid replacement for Athletes, J Athl Train, 35, 212
- Oppliger, 2002, Hydration testing of athletes, Sports Med, 32, 959, 10.2165/00007256-200232150-00001 · DOI
- 2010, Scientific Opinion on Dietary Reference Values for water, EFSA J, 8, 1459, 10.2903/j.efsa.2010.1459 · DOI · Paper page
- Heller, 1999, Water consumption in the United States in 1994-96 and implications for water fluoridation policy, J Public Health Dent, 59, 3, 10.1111/j.1752-7325.1999.tb03228.x · DOI
Cited by
McDermott, B. P., Anderson, S. A., Armstrong, L. E., Casa, D. J., Cheuvront, S. N., Cooper, L., Kenney, W. L., O'Connor, F. G., & Roberts, W. O. (2017) · Journal of Athletic Training · doi:10.4085/1062-6050-52.9.02 · Cited by 438
Self-citation
Metadata
- Authors
- Armstrong, L. E., Johnson, E. C., Munoz, C. X., Swokla, B., Le Bellego, L., Jimenez, L., Casa, D. J., & Maresh, C. M.
- Venue
- Journal of the Academy of Nutrition and Dietetics
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 112
- Issue
- 7
- Pages
- 1056-1061
- ISSN
- 2212-2672
- Cited by
- 72
- References
- 2
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
