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Sweat rate prediction equations for outdoor exercise with transient solar radiation
Abstract
We investigated the validity of employing a fuzzy piecewise prediction equation (PW) [Gonzalez et al. J Appl Physiol 107: 379–388, 2009] defined by sweat rate (m sw, g·m−2·h−1) = 147 + 1.527·(E req) − 0.87·(E max), which integrates evaporation required (E req) and the maximum evaporative capacity of the environment (E max). Heat exchange and physiological responses were determined throughout the trials. Environmental conditions were ambient temperature (T a) = 16–26°C, relative humidity (RH) = 51–55%, and wind speed ( V) = 0.5–1.5 m/s. Volunteers wore military fatigues [clothing evaporative potential (i m/clo) = 0.33] and carried loads (15–31 kg) while marching 14–37 km over variable terrains either at night ( N = 77, trials 1–5) or night with increasing daylight ( N = 33, trials 6 and 7). PW was modified ( Ṗw,sol) for transient solar radiation (R sol, W) determined from measured solar loads and verified in trials 6 and 7. PW provided a valid m sw prediction during night trials ( 1–5) matching previous laboratory values and verified by bootstrap correlation (r bs of 0.81, SE ± 0.014, SEE = ± 69.2 g·m−2·h−1). For trials 6 and 7, E req and E max components included R sol applying a modified equation Ṗw,sol, in which m sw = 147 + 1.527·(E req,sol) − 0.87·(E max). Linear prediction of m sw = 0.72· Ṗw,sol + 135 ( N = 33) was validated ( R 2 = 0.92; SEE = ±33.8 g·m−2·h−1) with PW β-coefficients unaltered during field marches between 16°C and 26°C T a for m sw ≤ 700 g·m−2·h−1. PW was additionally derived for cool laboratory/night conditions (T a < 20°C) in which E req is low but E max is high, as: PW,cool (g·m−2·h−1) = 350 + 1.527·E req − 0.87·E max. These sweat prediction equations allow valid tools for civilian, sports, and military medicine communities to predict water needs during a variety of heat stress/exercise conditions.
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“Hydration safety for physically active individuals can be influenced by body fluid status, but significant variability exists in factors such as habitual daily water intake, 1,40 sweat rate, 32,53,201 and gastrointestinal tolerance of consuming a large fluid volume during exercise, 202 which makes universal recommendations impossible.”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [32]
In the citing paper
“Reliable estimates of sweat losses based on some of these variables exist 32 ; however, they are not valid for every person and should only be used as an estimate when specific calculations cannot be conducted.”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [32]
In the citing paper
“Reliable estimates of sweat losses based on some of these variables exist 32 ; however, they are not valid for every person and should only be used as an estimate when specific calculations cannot be conducted.”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [32]
In the citing paper
“Sweat rates for adults ( . 18 years old) during exercise can range from 0.5 to 4.0 L/h, 32,43,53,201,207,208 and measured sodium losses during exercise range between 0.2 and 7.3 g/h. 34,209 212”
From National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active (2017) · cites this paper as [32]
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Cited by
Physiology of sweat gland function: The roles of sweating and sweat composition in human health
Baker, L. B. (2019) · Temperature · doi:10.1080/23328940.2019.1632145 · Cited by 732
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
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Thermal Indices and Thermophysiological Modeling for Heat Stress
Havenith, G., & Fiala, D. (2015) · Comprehensive Physiology · doi:10.1002/cphy.c140051 · Cited by 262
Hypohydration and human performance: Impact of environment and physiological mechanisms
Sawka, M. N., Cheuvront, S. N., & Kenefick, R. W. (2015) · Sports Medicine · doi:10.1007/s40279-015-0395-7 · Cited by 236
Self-citation
Metadata
- Authors
- Gonzalez, R. R., Cheuvront, S. N., Ely, B. R., Moran, D. S., Hadid, A., Endrusick, T. L., & Sawka, M. N.
- Affiliations
- Biology Department, New Mexico State University, Las Cruces, New Mexico;
- U.S. Army Research Institute of Environmental Medicine, Natick, Massachusetts; and
- Heller Institute of Medical Research, Sheba Medical Center, Tel Hashomer;
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2012-04-15
- Volume
- 112
- Issue
- 8
- Pages
- 1300-1310
- ISSN
- 8750-7587
- 1522-1601
- Cited by
- 41
- References
- 4
- Language
- en
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