The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Human Hydration Indices: Acute and Longitudinal Reference Values
Abstract
It is difficult to describe hydration status and hydration extremes because fluid intakes and excretion patterns of free-living individuals are poorly documented and regulation of human water balance is complex and dynamic. This investigation provided reference values for euhydration (i.e., body mass, daily fluid intake, serum osmolality; M ± SD); it also compared urinary indices in initial morning samples and 24-hr collections. Five observations of 59 healthy, active men (age 22 ± 3 yr, body mass 75.1 ± 7.9 kg) occurred during a 12-d period. Participants maintained detailed records of daily food and fluid intake and exercise. Results indicated that the mean total fluid intake in beverages, pure water, and solid foods was >2.1 L/24 hr (range 1.382–3.261, 95% confidence interval 0.970–3.778 L/24 hr); mean urine volume was >1.3 L/24 hr (0.875–2.250 and 0.675–3.000 L/24 hr); mean urine specific gravity was >1.018 (1.011–1.027 and 1.009–1.030); and mean urine color was ≥4 (4–6 and 2–7). However, these men rarely (0–2% of measurements) achieved a urine specific gravity below 1.010 or color of 1. The first morning urine sample was more concentrated than the 24-h urine collection, likely because fluids were not consumed overnight. Furthermore, urine specific gravity and osmolality were strongly correlated (r 2 = .81–.91, p < .001) in both morning and 24-hr collections. These findings provide euhydration reference values and hydration extremes for 7 commonly used indices in free-living, healthy, active men who were not exercising in a hot environment or training strenuously.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Individual variability exists in each of these cues, but all can provide useful information regarding hydration levels.”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [41]
In the citing paper
“The urine color chart (available at www.hydrationcheck.com) demonstrated good sensitivity and specificity compared with USG and osmolality measures. 41,135,136”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [41]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Functional significance of cell volume regulatory mechanisms
LANG, F., BUSCH, G. L., RITTER, M., VÖLKL, H., WALDEGGER, S., GULBINS, E., & HÄUSSINGER, D. (1998) · Physiological Reviews · doi:10.1152/physrev.1998.78.1.247 · Cited by 1,891
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-citationCollins, J., Maughan, R. J., Gleeson, M., Bilsborough, J., Jeukendrup, A., Morton, J. P., Phillips, S. M., Armstrong, L., Burke, L. M., Close, G. L., et al. (2021) · British Journal of Sports Medicine · doi:10.1136/bjsports-2019-101961 · Cited by 303
Self-citationIron considerations for the athlete: a narrative review
Sim, M., Garvican-Lewis, L. A., Cox, G. R., Govus, A., McKay, A. K. A., Stellingwerff, T., & Peeling, P. (2019) · European Journal of Applied Physiology · doi:10.1007/s00421-019-04157-y · Cited by 274
Assessment of hydration status in a large population
Baron, S., Courbebaisse, M., Lepicard, E. M., & Friedlander, G. (2015) · British Journal of Nutrition · doi:10.1017/s0007114514003213 · Cited by 166
Somatotype and Bioimpedance Vector Analysis: A New Target Zone for Male Athletes
Campa, F., Silva, A. M., Talluri, J., Matias, C. N., Badicu, G., & Toselli, S. (2020) · Sustainability · doi:10.3390/su12114365 · Cited by 39
Campa, F., Silva, A. M., Matias, C. N., Monteiro, C. P., Paoli, A., Nunes, J. P., Talluri, J., Lukaski, H., & Toselli, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186604 · Cited by 33
Tattoos do not affect exercise-induced localised sweat rate or sodium concentration
Rogers, E., Irwin, C., McCartney, D., Cox, G. R., & Desbrow, B. (2019) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2019.06.004 · Cited by 12
Metadata
- Authors
- Armstrong, L. E., Pumerantz, A. C., Fiala, K. A., Roti, M. W., Kavouras, S. A., Casa, D. J., & Maresh, C. M.
- Venue
- International Journal of Sport Nutrition and Exercise Metabolism
- Publisher
- Human Kinetics
- Published
- 2010-04
- Volume
- 20
- Issue
- 2
- Pages
- 145-153
- ISSN
- 1526-484X
- 1543-2742
- Cited by
- 261
- References
- 1
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.