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Sweat Rate and Electrolyte Concentration in Swimmers, Runners, and Nonathletes

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Abstract

Because swimmers train in an aquatic environment, they probably do not need to sweat as much as runners who train on land and, therefore, should not develop the same magnitude of sweating adaptations. To compare sweat rate and electrolyte concentration in swimmers, runners and nonathletes. Ten swimmers (22.9 ± 3.1 years old), 10 runners (25 ± 2.9 y) and 10 nonathletes (26.5 ± 2.2 y) cycled in the heat (32 degrees Celsius and 40% relative humidity) for 30 min at similar intensity relative to their maximal cycle test. Sweat volume was calculated from the difference of their body mass before and after cycling, since they were not allowed to drink. Sweat was collected from the scapula using absorbent patch placed on the skin that was cleaned with distilled water. After cycling, the patch was transferred to syringe and the sample was obtained when squeezing it to a tube. Concentration of sodium ([Na+]), chloride ([Cl-]) and potassium ([K+]) were analyzed using an ion selector analyzer. The sweat volume, in liters, of swimmers (0.9 ± 0.3) was lower (P < .05) than that of runners (1.5 ± 0.2) and similar to that of nonathletes (0.6 ± 0.2). [Na+] and [Cl-], in mmol x L(-1), of swimmers (65.4 ± 5.5 and 61.2 ± 81), and nonathletes (67.3 ± 8.5 and 58.3 ± 9.6) were higher (P < .05) than those of runners (45.2 ± 7.5 and 38.9 ± 8.3). [K+] was similar among groups. The lower sweat volume and higher sweat [Na+] and [Cl-] of swimmers, as compared with runners, indicate that training in the water does not cause the same magnitude of sweating adaptations.
  359
International Journal of Sports Physiology and Performance, 2010, 5, 359-366
© Human Kinetics, Inc.
The authors are with Escola de Educação Física, Universidade Federal do Rio Grande do Sul, Porto
Alegre, RS, Brasil.
Sweat Rate and Electrolyte Concentration
in Swimmers, Runners, and Nonathletes
Simone D. Henkin, Paulo L. Sehl, and Flavia Meyer
Because swimmers train in an aquatic environment, they probably do not need
to sweat as much as runners who train on land and, therefore, should not develop
the same magnitude of sweating adaptations. Purpose: To compare sweat rate
and electrolyte concentration in swimmers, runners and nonathletes. Methods:
Ten swimmers (22.9 ± 3.1 years old), 10 runners (25 ± 2.9 y) and 10 nonathletes
(26.5 ± 2.2 y) cycled in the heat (32°C and 40% relative humidity) for 30 min at
similar intensity relative to their maximal cycle test. Sweat volume was calculated
from the difference of their body mass before and after cycling, since they were
not allowed to drink. Sweat was collected from the scapula using absorbent patch
placed on the skin that was cleaned with distilled water. After cycling, the patch
was transferred to syringe and the sample was obtained when squeezing it to a
tube. Concentration of sodium ([Na+]), chloride ([Cl]) and potassium ([K+]) were
analyzed using an ion selector analyzer. Results: The sweat volume, in liters, of
swimmers (0.9 ± 0.3) was lower (P < .05) than that of runners (1.5 ± 0.2) and similar
to that of nonathletes (0.6 ± 0.2). [Na+] and [Cl], in mmolL−1, of swimmers (65.4
± 5.5 and 61.2 ± 81), and nonathletes (67.3 ± 8.5 and 58.3 ± 9.6) were higher (P
< .05) than those of runners (45.2 ± 7.5 and 38.9 ± 8.3). [K+] was similar among
groups. Conclusions: The lower sweat volume and higher sweat [Na+] and [Cl]
of swimmers, as compared with runners, indicate that training in the water does
not cause the same magnitude of sweating adaptations.
Keywords: sweat glands, sweat ion concentration, acclimatization, exercise in
the heat
Aerobic training may change sweating responses as it was shown that overall
trained men have a greater sweat rate compared with untrained men.1 The heat
acclimatization process due to repeated heat exposure while living under heat stress2
also indicates increase in sweat rate and change in sweat electrolyte concentration,
mainly a decrease in sweat [Na+].3,4 Thus, the combination of aerobic training and
heat acclimatization could probably optimize these sweat adaptations of runners.
There are few studies on sweating responses of swimmers, and they all took
place in the swimming pool.5–8 Swimmer athletes, even training aerobically, may
not develop the same degree of sweat adaptations as runners. This is because swim-
360 Henkin, Sehl, and Meyer
mers exercise in the water, which helps dissipate the body heat production through
convection and conduction.9,10 The facilitated body heat removal may reduce the
need to sweat during swimming and thus attenuate those sweat adaptations that were
shown in runners. Such differences in sweating responses could be demonstrated
by using a study design in which swimmers and runners exercise outside the water,
under similar environmental and exercise conditions.
We are unaware of any study that examined sweat rate and sweat electrolyte
concentrations of swimmers in comparison with other athletes outside the water.
We hypothesized that, as untrained individuals, swimmers present a lower sweat
rate and a higher sweat [Na+] than runners when they exercise out of water under
similar environmental and exercise conditions. If indeed the aquatic training spare
sweating adaptations, swimmers may be at thermoregulatory disadvantages if they
occasionally exercise out of water for a long time in the heat. Knowledge of such
responses may have another practical implication regarding hydration needs. There-
fore, the purpose of this study was to compare the sweat rate and sweat electrolyte
concentration in swimmers, runners and nonathletes.
Methods
Subjects
Ten endurance runners, 10 endurance swimmers and 10 nonathletes, all males,
gave written informed consent to participate in this study which was approved by
the Ethical Committee of the Universidade Federal do Rio Grande do Sul. At the
time of the experiment, runners and swimmers had been training in their respective
sports for at least 5 y until the month before testing. For the swimmers, we chose
those who competed distances of 400 and 800 m, and trained in the pool about 35
km per week. The runners competed 10 and 20 km and trained outdoors, about 92
km per week. Basically, runners and swimmers were training in their respective
dry-land and aquatic environments for about 2 h, 5 d per week, and at the time of
the experiment using their routine exercise intensity for a noncompetitive period.
The nonathlete group was active, practicing weight training three times a week
but had not been participating in any kind of competitive or systematic training for
the last 6 mo before the experiment. None of the subjects were taking medications
or were smokers.
All subjects were living in similar environmental conditions (South Brazil)
and experiments took place during late winter, when the air temperature ranged
from 16°C to 24°C. Athletes were therefore at similar training seasons, and run-
ners wore shorts and T-shirts while training. Subjects came rst for the screening
session and later for the experimental session.
Screening Session
Subjects came to the laboratory to evaluate physical characteristics (age, height,
weight and sum of skinfolds) and maximal oxygen uptake (VO2max) to standardize
exercise intensity for the experimental session. VO2max was measured using online,
breath-by-breath, open-circuit spirometry (O2 and CO2 analyzer Medgraphics model
CPX/D) on a cycle ergometer (Cybex, The Bike) using a progressive protocol.11
Sweat Responses in Swimmers    361
Subjects cycled for 3 min at a self-selected pace at an initial load of 50 W, and
then the load was increased by 25 W each minute. During the test, subjects were
instructed to cycle at a rate 60 rpm. Heart rate (HR; Polar, S610, Polar Electro
Oy, Finland) was monitored continuously. Subjects were given verbal encourage-
ment throughout the test, which ended when they were unable to maintain the
rhythm or when HR exceeded 200 bpm. The second ventilatory threshold was set
using increases of O2 and CO2 ventilatory equivalent (VEVO2
–1 and VEVCO2
–1).
Subjects were instructed to drink 500 mL of water 2 h before the next session
(experimental)12 and to refrain from caffeine and alcoholic beverages as well as
physical activities the prior 24 h.
Experimental Session
On arrival at the laboratory, we conrmed that subjects had followed the instruc-
tions, and we then assumed they were euhydrated. Afterward, subjects emptied
their bladder, and their body weight was assessed (Fillizola) wearing only shorts.
At the site of sweat collection, the skin was cleaned with distilled water. A
gauze patch (Tegaderm 3582, 3M) was attached to the right side of the scapula
(approx. 7 cm lateral from the vertebral column) to absorb the local sweat as
described by Patterson et al.13 Before attaching the patch, the site was washed with
distilled water and dried with sterilized gauze to avoid contamination. Following
cycling, as described bellow, the patch was removed with tweezers (cleansed with
distilled water) and placed into a disposable syringe that was squeezed into a tube
(Eppendorf) to obtain the sweat sample for later analysis.
Wearing only shorts, subjects cycled on a friction-braked ergometer (Ergo Fit
167, Spain, 5 W). They cycled for 30 min and the power output was calculated to
be approximately 10% below the second ventilatory threshold from their individual
VO2max measured in the screening session, The corresponding means ± SD (in
watts) were 125 ± 26.8 for swimmers, 171 ± 10.3 for runners and 91.7 ± 14.4 for
nonathletes. Heart rate (Polar, S610, Polar Electro Oy, Finland) was monitored
throughout the exercise session, corresponding to 65 to 75% of maximal HR. Sub-
jects cycled in the heat of an environmental chamber (Russels, 3.63 m wide × 2.39 m
high × 3.81 m deep) with an air temperature of 32°C and relative humidity of 40%.
After cycling, each subject toweled dry, voided, and the body mass was recorded
again with subjects wearing a dry short.
Sweat Analyses and Calculations
Sweat was analyzed for [Na+], [Cl], and [K+] using an ion selector analyzer (AVL,
9180, Roche), in duplicate. We considered the mean value since results were similar
within samples.
Body mass loss was determined by change in body mass. This difference
between pre- and postexercise body mass represented the 30-min sweat volume,
since subjects did not drink any uid during cycling. We corrected to 1 h (by mul-
tiplying by 2) and also divided by the body mass and minutes to express the sweat
rate in mLkg−1min−1.
The amount of sodium loss was calculated by multiplying the sweat electrolyte
concentration obtaining from sample of the scapula by the total sweat volume.
362 Henkin, Sehl, and Meyer
Statistical Analysis
Data were tested for normality of distribution and are presented as mean ± SD. To
compare the variables among groups, analysis of variance (ANOVA) with Tukey
post hoc test were used. Differences were considered signicant when P < .05.
Data were analyzed using SPSS 13.0.
Results
As shown in Table 1, the three groups were similar in height, body mass, and sum
of skinfolds, but they were different in VO2max. Runners had the highest VO2max.
Mean (± SD) HR over the 30-min cycling session was lower in nonathletes
(127 ± 3 bpm) than in runners (154 ± 11 bpm) and swimmers (162 ± 8 bpm). Swim-
mers’ sweat rates (absolute and relative body mass) were lower than runners’ and
similar to nonathletes’ (Table 2). As a result, runners lost signicantly more body
mass than swimmers and nonathletes. Considering the body mass measured just
before exercise, the loss in kilograms and the respective percentage dehydration
were 0.46 ± 0.1 and 0.61 ± 0.17 in swimmers, 0.73 ± 0.1 and 0.98 ± 0.17 in run-
ners, and 0.27± 0.1 and 0.33 ± 0.12 in nonathletes.
As shown in Table 2, sweat [Na+] and [Cl] in swimmers and nonathletes were
higher than in runners. Sweat [K+] was similar across the three groups. Estimated
Table 1 Physical and physiological characteristics of runners,
swimmers, and nonathletes
Age
(years)
Height
(cm)
Body mass
(kg)
of nine
skinfolds* (mm)
VO
2
max
(mL
·
kg
−1·
min
−1
)
Swimmers 22.9 ± 3.1 178 ± 5.8 75 ± 10.0 116 ± 44.8 54.2 ± 5.7 b
Runners 25.4 ± 2.9 178 ± 5.8 74 ± 7.8 106 ± 19.8 60.5 ± 5.8 a
Nonathletes 26.5 ± 2.4 176 ± 5.6 80 ± 11.8 131 ± 39.5 45.2 ± 2.9 c
* Triceps, biceps, chest, axilla, iliac crest, subscapular, abdominal, front thigh, and medial calf. Data
are mean ± SD.
a Greater than in swimmers and nonathletes, P < .001. b Greater than in nonathletes, lower than in run-
ners, P < .001. c Lower than in swimmers and runners.
Table 2 Sweat rate (L·h–1 and mL·kg−1·min−1) and electrolyte
concentration (mmol·L−1) in swimmers, runners, and nonathletes
Sweat rate Electrolyte concentration
L
·
h
−1
mL
·
kg
−1·
min
−1
Na
+
Cl
K
+
Swimmers 0.9 ± 0.3 0.20 ± 0.57 65.4 ± 5.5 b61.2 ± 8.1 b3.7 ± 0.3
Runners 1.5 ± 0.2 a0.33 ± 0.06 a45.2 ± 7.5 38.9 ± 8.3 3.8 ± 0.4
Nonathletes 0.6 ± 0.2 0.11 ± 0.04 67.3 ± 8.5 b58.3 ± 9.6 b4.4 ±1.1
Data are mean ± SD. a Greater than in swimmers and nonathletes (P < .05). b Greater than in runners
(P < .05).
Sweat Responses in Swimmers    363
sweat sodium loss (in mmolkg–1h–1) of swimmers (0.79 ± 0.24) was similar to
that of runners (0.88 ± 0.18), and higher than that of nonathletes (0.44 ± 0.14).
Discussion
The main ndings of the current study were that, when exercising out of water,
swimmers and nonathletes did not sweat as much as runners; and their sweat [Na+]
and [Cl] were higher than those of runners, conrming our hypothesis. These
ndings indicate that sweat responses are dependent on the training environment
(land vs water). The aquatic environment may facilitate body heat transfer through
conduction and convection, limiting sweating. We purposely used an environmental
condition to stimulate swimmers to sweat out of their usual training environment
(on land). Further, this design enabled us to compare sweating responses among
swimmers, runners and nonathletes under similar exercise conditions. On the other
hand, more studies are necessary to explain the mechanisms of the observed ndings.
Some studies5–8 have investigated the thermoregulatory responses of swimmers
and runners in the water, making it impossible to compare these with the responses
of our study. Swimmers’ sweat rate in the current study (0.9 Lh–1) was greater than
that previously reported for swimmers in the literature (0.4 Lh–1 and 0.7 Lh–1).5,8
The estimated mean sweat volume per hour (1.5 Lh–1) in runners in the current
study was similar to previously reported values for runners under similar exercise
conditions.14,15
In agreement with the current study, swimmers showed a lower sweating
rate during heat stress. It has been reported that swimmers have a reduced sweat
rate.5–7 This lower sweating rate in water-trained individuals may be explained by
the fact that swimmers do not experience marked daily increases in core or skin
temperature because of the increased heat transfer characteristics of the water envi-
ronment (increases that have been reported to be necessary to initiate sweating).16
The lower sweat rate in swimmers has also been attributed to an inhibition in the
sweat gland activity due to training in the water.17 This may cause a depression in
sweat response which was named as chronic hidromeiosis.18
Sweat rate in athletes is markedly higher than in sedentary subjects.19–21 In this
study, however, the sweat rate in swimmers was not higher than in nonathletes,
which is in disagreement with earlier studies.22 The similar sweat rates found in
swimmers and nonathletes might be due to the relative low degree of thermal stress
that induces sweating. At low levels of thermal stress, it may be difcult to nd
a difference in sweat rate between groups due to the lower sweating rate of the
limbs.7 Such differences could become clearer with an increase in the stimulus to
sweat at higher levels of thermal stress and sweating.
Aerobic conditioning and heat acclimatization are factors that affect sweat rate
induced by exercise.1,3,4 They could explain a higher sweat rate in runners as they
presented a greater VO2max. A high level of cardiorespiratory tness is associated
with an improved exercise-heat tolerance including increases in sweat rate.20 It is
known that endurance training in high air temperate conditions with signicant
increases of VO2max contributes to heat acclimatization.22 For example, Piwonka
et al19 reported that trained distance runners showed a decreased physiological
strain compared with untrained individuals during exercise-heat stress. In addition,
because runners train in conditions that facilitate heat gain, they develop a greater
364 Henkin, Sehl, and Meyer
evaporative heat capacity that is more efcient than convection in an air environ-
ment. In the current study, although all athletes were competitive, relative VO2max
was about 10% higher in runners than in swimmers. In this case, we do not know
how much the VO2max affected the results; but it could explain them only partially,
since the relative sweat rate was about 40% higher in runners than in swimmers.
VO2 was not measured during exercise; but subjects’ workload was individually
estimated at the same relative intensity from their maximal.
Body size also affects the sweat rate during exercise;15 however, the three
groups assessed here were similar in height, weight, and sum of skinfolds. Thus,
differences in body mass could not account for the greater sweat rate in runners.
The density of heat-activated sweat glands is also associated with a greater
sweat rate.20,23,24 Ogawa et al25 observed that the number of heat-activated sweat
glands, which may be indicative of sudomotor neural activity, increased after heat
acclimatization, suggesting that heat acclimatization may alter central modulation of
the sweating response. In the current study, to avoid variations of heat acclimatiza-
tion, all subjects were tested at the same time of the year (late winter). Nevertheless,
we cannot guarantee that all subjects were equally acclimatized.
Another factor is that the sweating threshold at a given core temperature may
be decreased by training and acclimatization.26 We did not measure this relation to
determine how much it affected the sweat rate among groups. It is possible that a
delayed onset of sweating in swimmers and nonathletes could have underestimated
their sweat rate over the 30 min cycling. We used a relatively short exercise in the
heat protocol (30 min at 32°C, 40% relative humidity), but it was sufcient to show
some differences in sweating volumes and to obtain samples for electrolyte analyses.
The novel data of the current study concern the sweat electrolyte concentration
in swimmers. Sweat [Na+] and [Cl] were higher in swimmers and nonathletes.
Sweat [Na+] and [Cl] have decreased with heat acclimatization even for a given
increase in sweating rate.4,27 Thus, although heat-acclimatized individuals sweat
more—as observed in the greater sweat rate in runners—there is lower [Na+] and
[Cl] in that sweat.23 Another signicant nding was that sweat Na+ loss was higher
in swimmers and runners than in nonathletes. This was due to the somewhat higher
sweat [Na+] in swimmers despite their lower sweat rate as compared with runners.
One limitation of the current study was that sweat was collected from one region
only (scapula). The sweat electrolyte concentration may vary at different sites, and
sweating distribution across the limbs and trunk changes with acclimatization.28
Future studies should evaluate sweat electrolyte loss using an estimation of dif-
ferent body areas.
Conclusions and Practical Applications
Swimmers as well as the nonathletic group did not sweat as much as runners; neither
did they have a lower NaCl sweat concentration. These sweating responses induced
by a 30-min cycling in the heat, out of the water, suggest that sweating adaptations
may be inuenced by the sport training environment. This lower sweat rate of
swimmers, in relation to runners, may represent a thermoregulatory disadvantage
and they, just like nonathletes, may need special care to avoid hyperthermia and
other heat-related disorders if they start running or training in a warm environment
out of the water. More experimental studies, including measurements such as core
Sweat Responses in Swimmers    365
temperature, sweating threshold and heat-activated sweat glands could clarify such
ndings. Another practical implication is related to the uid intake needs. The usual
volume, but not the amount of sodium, recommended for a swimmer to maintain
euhydration may be lower than that of a runner athlete.
Acknowledgments
The authors are grateful to the subjects who participated in this study and the technical
assistance of Marcio M. Silveira.
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... However, the authors also reported hidromeiosis in the trained group, which could explain in part their lower sweat [Cl − ] (Araki et al. 1981). In another study, Henkin et al. (2010) measured sweat [Na + ] and [Cl − ] from the scapula of swimmers (VO 2max = 54.2 ± 5.7 ml/kg/min), runners (60.5 ± 5.8 ml/kg/ min), and non-athletes (45.2 ± 2.9 ml/kg/min) during 30 min cycling in the heat at a fixed relative intensity of 65-75% maximal heart rate. Despite the significantly higher aerobic capacity and 50% higher sweating rate of the swimmers compared with the non-athletes there were no differences in sweat [Na + ] or [Cl − ]. ...
... Despite the significantly higher aerobic capacity and 50% higher sweating rate of the swimmers compared with the non-athletes there were no differences in sweat [Na + ] or [Cl − ]. By contrast, sweat [Na + ] and [Cl − ] were significantly lower in the runners than swimmers and non-athletes (Henkin et al. 2010). This may suggest potential NaCl conservation by the sweat glands with training, but the confounding effect of partial heat acclimation cannot be ruled out in this study since it was conducted in Brazil in the later winter where outdoor temperature reached 24 °C (Henkin et al. 2010). ...
... By contrast, sweat [Na + ] and [Cl − ] were significantly lower in the runners than swimmers and non-athletes (Henkin et al. 2010). This may suggest potential NaCl conservation by the sweat glands with training, but the confounding effect of partial heat acclimation cannot be ruled out in this study since it was conducted in Brazil in the later winter where outdoor temperature reached 24 °C (Henkin et al. 2010). Hamouti et al. (2011) measured sweat [Na + ] from the lower back of trained (VO 2peak = 4.0 ± 0.8 L/min) and untrained (VO 2peak = 3.4 ± 0.7 L/min) participants during three bouts (40, 60, and 80% VO 2peak ) of cycling in the heat. ...
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PurposeThe purpose of this paper is to review the physiological mechanisms determining eccrine sweat composition to assess the utility of sweat as a proxy for blood or as a potential biomarker of human health or nutritional/physiological status.Methods This narrative review includes the major sweat electrolytes (sodium, chloride, and potassium), other micronutrients (e.g., calcium, magnesium, iron, copper, zinc, vitamins), metabolites (e.g., glucose, lactate, ammonia, urea, bicarbonate, amino acids, ethanol), and other compounds (e.g., cytokines and cortisol).ResultsIon membrane transport mechanisms for sodium and chloride are well established, but the mechanisms of secretion and/or reabsorption for most other sweat solutes are still equivocal. Correlations between sweat and blood have not been established for most constituents, with perhaps the exception of ethanol. With respect to sweat diagnostics, it is well accepted that elevated sweat sodium and chloride is a useful screening tool for cystic fibrosis. However, sweat electrolyte concentrations are not predictive of hydration status or sweating rate. Sweat metabolite concentrations are not a reliable biomarker for exercise intensity or other physiological stressors. To date, glucose, cytokine, and cortisol research is too limited to suggest that sweat is a useful surrogate for blood.Conclusion Final sweat composition is not only influenced by extracellular solute concentrations, but also mechanisms of secretion and/or reabsorption, sweat flow rate, byproducts of sweat gland metabolism, skin surface contamination, and sebum secretions, among other factors related to methodology. Future research that accounts for these confounding factors is needed to address the existing gaps in the literature.
... Previous cross-sectional studies have produced mixed results when comparing sweat [Na + ] among groups of various aerobic fitness levels. Some reported that trained individuals have higher regional ion reabsorption rates (Amano et al., 2017) and lower sweat [Na + ] (Araki, Matsushita, Umeno, Tsujino, & Toda, 1981;Henkin, Sehl, & Meyer, 2010), while others have found no differences (Hamouti, Del Coso, Ortega, & Mora-Rodriguez, 2011;Henkin et al., 2010). In addition, limited research suggests there are minimal inherent ethnic/racial differences in sweat electrolyte concentrations (Kawahata & Sakamoto, 1951;Ladell, 1948;McLean, Brown, & Black, 2016;Robinson & Robinson, 1954). ...
... Previous cross-sectional studies have produced mixed results when comparing sweat [Na + ] among groups of various aerobic fitness levels. Some reported that trained individuals have higher regional ion reabsorption rates (Amano et al., 2017) and lower sweat [Na + ] (Araki, Matsushita, Umeno, Tsujino, & Toda, 1981;Henkin, Sehl, & Meyer, 2010), while others have found no differences (Hamouti, Del Coso, Ortega, & Mora-Rodriguez, 2011;Henkin et al., 2010). In addition, limited research suggests there are minimal inherent ethnic/racial differences in sweat electrolyte concentrations (Kawahata & Sakamoto, 1951;Ladell, 1948;McLean, Brown, & Black, 2016;Robinson & Robinson, 1954). ...
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We have previously published equations to estimate whole‐body (WB) sweat sodium concentration ([Na+]) from regional (REG) measures; however, a cross‐validation is needed to corroborate the applicability of these prediction equations between studies. The purpose of this study was to determine the validity of published equations in predicting WB sweat [Na+] from REG measures when applied to a new data set. Forty‐nine participants (34 men, 15 women; 75 ± 12 kg) cycled for 90 min while WB sweat [Na+] was measured using the washdown technique. REG sweat [Na+] was measured from seven regions using absorbent patches (3M Tegaderm + Pad). Published equations were applied to REG sweat [Na+] to determine predicted WB sweat [Na+]. Bland–Altman analysis of mean bias (raw and predicted minus measured) and 95% limits of agreement (LOA) were used to compare raw (uncorrected) REG sweat [Na+] and predicted WB sweat [Na+] to measured WB sweat [Na+]. Mean bias (±95% LOA) between raw REG sweat [Na+] and measured WB sweat [Na+] was 10(±20), 0(±19), 9(±20), 22(±25), 23(±24), 0(±15), −4(±18) mmol/L for the dorsal forearm, ventral forearm, upper arm, chest, upper back, thigh, and calf, respectively. The mean bias (±95% LOA) between predicted WB sweat [Na+] and measured WB sweat [Na+] was 3(±14), 4(±12), 0(±14), 2(±17), −2(±16), 5(±13), 4(±15) mmol/L for the dorsal forearm, ventral forearm, upper arm, chest, upper back, thigh, and calf, respectively. Prediction equations improve the accuracy of estimating WB sweat [Na+] from REG and are therefore recommended for use when determining individualized sweat electrolyte losses. Published prediction equations improve the accuracy of estimating whole‐body sweat [Na+] from regional measures, especially for the dorsal forearm, upper arm, chest, and upper back. Therefore, it is recommended that appropriate regression equations are applied when using the regional absorbent patch method to determine individualized sweat electrolyte losses.
... This is problematic when the variations in adhesion to human skin outweigh the effects of formulation adjustments. Parameters like skin roughness, surface energy, sweat rate, as well as sweat composition not only differ between individuals but also depend on the environmental conditions and it is thus difficult to evaluate the effect of perspiration on the adhesive performance [11,[21][22][23][24][25][26][27][28]. This might be the reason Roy et al. failed to reach statistical significance when comparing adhesion before and after exercise, even though the individual test samples showed up to a 65% decrease in peel force [29]. ...
... A good agreement between the pump and perspiration rate with a steady flow of liquid was observed. In vivo, a large variability in perspiration rates is seen depending on the individual, the amount of exercise, the environmental conditions, and the body part [26,27,40]. Furthermore, not only the perspiration rates are different but also the electrolyte concentrations in the sweat [28]. ...
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To bridge the gap between current in vitro and in vivo testing, we present the use of a perspiration simulator to evaluate the performance of skin adhesives during sweating. The perspiration simulator mimics human skin in key aspects such as roughness, water contact angle, sweat pore size, sweat pore density, and can be operated at different perspiration rates. In contrast to in vivo testing, a well-defined experimental setup with minimal variation is therefore successfully achieved. To demonstrate the capabilities of the reported perspiration simulator, two model adhesives with different water absorption capabilities are assessed. The peel forces as a function of time are thereby measured during perspiration of a 0.154 M NaCl solution. The peel force decreases immediately when the perspiration rate exceeds the water uptake as determined by an immersion test. However, when the water absorption capabilities are sufficiently high, a delay in the decrease in peel force is observed. Through the use of a fluorescent dye, we can further correlate the loss of adhesion with a spreading of liquid at the skin-adhesive interface.
... Studies concentrate on vast physiological matters such as the prevalence of urinary incontinence within a population of female recreational runners during a marathon (Abitteboul et al. 2015), sweat rate and electrolyte concentration in runners (Henkin et al. 2010) and the link between mucus and dehydration in marathon runners (McGarvey et al. 2010). Yet, these studies focused on bodily secretions as stands alone -"pure" physiological reactions with very little consideration given concerning sociocultural matters such as social constraints, social boundaries, and social hierarchy. ...
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Bodily secretions such as urinating, expectorating, defecating and flatulating during distance running often play an integral part in the distance runner's routine, but to a large degree remain undiscussed in public. The aim of this study is to deconstruct this taboo topic by shedding light on the nexus between secretions and their sociocultural meanings and implications in the confines of running groups. Drawing on Douglas's (1970) conceptual framework of the physical and social body-system, the paper provides a novel examination of bodily secretions and their dictated norms and assigned symbolic meanings. The contribution of this paper is to address the lacuna of research that focuses on the runner's (lived) body in times of secretion and the way it is navigated in the process of being in and belonging to a running group. An ethnographic research design of three years was implemented in two running groups, using participant observation and semi-structured interviews. The data presented suggest that while the running social body often restricts the novice runner's corporeal body in times of secretion, veteran runners seem to be looser and more unauthorized in the social system, treating their bodies and their secretions with less restraint and less feeling the need to hide or to be embarrassed by their secretions. Moreover, it is evident that bodily secretions are highly gendered. In this context, in contrast to male runners in the study, female runners are drastically more vigilant regarding the way they might be perceived, both to themselves and to others.
... 然而, 开发 这些应用的体上测试需要大量的时间和成本, 并且在 这些测试中, 出汗速率(0.1~10 μL min −1 cm −2 )和汗液 的化学成分在不同测试批次间均存在很大差异 [26] . 目 前, 有很多体外的人工设备可用于血液、唾液等其他 体液的测试 [27] , 但对能够精确模拟人体出汗设备的研 究很少 [28,29] . ...
... The integumentary system helps regulate body temperature through its close interaction with the nervous system. During continuous running, if body temperature increases, sweat glands are stimulated and as much as 1.5 litres (Henkin et al., 2010) of sweat is produced per hour for an active person. As the sweat evaporates from the skin surface, the body is cooled and body heat dissipated. ...
... Application times ranged from ∼15 min at the forehead to ∼48 min at the calf, and they removed the patches before saturation (Baker et al 2009(Baker et al , 2014(Baker et al , 2016(Baker et al , 2019. During sweat testing in the field, longer sampling periods up to 60 min were reported due to practical reasons (Alvear-Ordenes et al 2005, Stofan et al 2005, Henkin et al 2010. In laboratory settings, absorbent patches were left on the skin for ∼15-30 min (Schwartz and Thaysen 1956, Lobeck and Huebner 1962, Verde et al 1982, Goulet et al 2017, Baker et al 2018, Klous et al 2020a, 2020b. ...
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... Garcia-Cordero et al. [38] differentiates sweat rates between those obtained during exercise (1.5 µL/min·cm 2 , which corresponds to 7.5 nL/min·gland, assuming 200 glands per cm 2 ) or during resting conditions (20 nL/min·cm 2 corresponding to 0.1 nL/min·gland). Henkin et al. [39] provide a value of 6.25 nL/min·gland for runners. Therefore, the majority of works typically use units of nL/min·gland to predict the volume of sample available in sweat. ...
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Skin models offer an in vitro alternative to human trials without their high costs, variability, and ethical issues. Perspiration models, in particular, have gained relevance lately due to the rise of sweat analysis and wearable technology. The predominant approach to replicate the key features of perspiration (sweat gland dimensions, sweat rates, and skin surface characteristics) is to use laser-machined membranes. Although they work effectively, they present some limitations at the time of replicating sweat gland dimensions. Alternative strategies in terms of fabrication and materials have also showed similar challenges. Additional research is necessary to implement a standardized, simple, and accurate model representing sweating for wearable sensors testing.
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Heat acclimatisation/acclimation involves a complex of adaptations which includes decreased heart rate, rectal temperature, perceived exertion as well as increased plasma volume and sweat rate. These adaptations serve to reduce physiological strain, improve an athlete's ability to exercise in a hot environment, and reduce the incidence of some forms of heat illness. Few differences exist in the ability of men and women to acclimatise to heat. Typically, older runners do not perform in the heat as well as younger runners, but physical training can negate differences between these groups. Hormonal adaptations (e.g. aldosterone, vasopressin) during heat acclimatisation encourage fluid-electrolyte retention and cardiovascular stability. Athletes with high maximal aerobic power (VO2max) acclimatise to heat faster (and lose adaptations slower when they are inactive in a cool environment) than athletes with low VO2max values. Physical training in a cool environment improves physiological responses to exercise at high ambient temperatures. In attempting to optimise heat acclimatisation, athletes should maintain fluid-electrolyte balance, exercise at intensities greater than 50% VO2max for 10 to 14 days, and avoid factors (e.g. sleep loss, infectious disease) which are known to reduce heat tolerance. Once acclimatisation has been achieved, inactivity results in a decay of favourable adaptations, after only a few days or weeks.
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The purpose of this study was to determine the in vivo secretory activity of sweat glands from sedentary and trained subjects. Peripheral sweat production was determined using pilocarpine iontophoresis in 40 volunteers (10 sedentary men, 10 endurance-trained men, 10 sedentary women, 10 endurance-trained women). Peripheral sweat rate was significantly (P less than 0.05) greater in trained men [6.9 +/- 0.6 (SE) g.m2.min-1] and women (6.1 +/- 0.7) compared with sedentary men (3.1 +/- 0.5) and women (2.5 +/- 0.4). Furthermore, peripheral sweat rate was significantly correlated (r = 0.73) with maximal O2 uptake. The above two findings would suggest that physical training improves the secretory activity of the human sweat gland. Such a result supports previous findings that have suggested that the potentiation in sweating seen after training is achieved via a peripheral mechanism. In addition, several gender-related differences were found in the sudorific response of men and women. Specifically, women have a significantly greater sweat gland density, whereas men have a greater sweat production per gland.
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On assumptions that tympanic temperature (Tty) reflects brain temperature and that the latter can be lowered by cooling of the face, effect of facial cooling during acclimation process on adaptive changes in sweating activity was examined, in comparison with the results of our previous studies on heat acclimation with controlled hyperthermia. Face fanning, by which Tty was clamped at approximately 37.1°C, was combined with either of the following 9-day acclimation procedures: 90-min heating in a "Sauna box, " keeping mean skin temperature slightly above 40°C, or 90-min exercise on a bicycle, clamping rectal temperature (Tre) at approximately 38°C. Each procedure was imposed on the same four male subjects on different occasions, two of whom had participated in our previous experiments. Sweat tests, carried out before and immediately after the completion of the procedure, consisted of measurements of local sweat rates, whole body sweat rate, Tre, Tty and skin temperatures on 5 areas, and of calculations of mean body temperature (Tb) and the rate of sweat expulsions (Fsw, as an indicator of central sudomotor activity). No or only a slight increase in sweating activity was observed following the acclimation procedures with face fanning, whereas similar procedures without face fanning had resulted in substantial enhancement of sweating activity in most of the cases, which had been attributed mainly to adaptive changes in central sudomotor activity (as indicated by a shift of the regression line relating Fsw to Tb). Similar results were obtained in an additional series of experiments, where the effects of 9-day 90-min exercise in heat, clamping Tre at approximately 38.2°C, with and without facial cooling, were compared with each other in a subject. From the above results it is inferred that Tty reflects brain temperature and that enhancement of sweating activity induced by repeated heat load is strongly impeded, if not accompanied, by an elevation of brain temperature.