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Medicina 2019, 55(3), 66;

Pre-Exercise Rehydration Attenuates Central Fatigability during 2-Min Maximum Voluntary Contraction in Hyperthermia
Department of Applied Biology and Rehabilitation, Lithuanian Sports University, LT-44221 Kaunas, Lithuania
Author to whom correspondence should be addressed.
Received: 21 December 2018 / Accepted: 6 March 2019 / Published: 12 March 2019


Background and objectives: Hyperthermia with dehydration alters several brain structure volumes, mainly by changing plasma osmolality, thus strongly affecting neural functions (cognitive and motor). Here, we aimed to examine whether the prevention of significant dehydration caused by passively induced whole-body hyperthermia attenuates peripheral and/or central fatigability during a sustained 2-min isometric maximal voluntary contraction (MVC). Materials and Methods: Ten healthy and physically active adult men (21 ± 1 years of age) performed an isometric MVC of the knee extensors for 2 min (2-min MVC) under control (CON) conditions, after passive lower-body heating that induced severe whole-body hyperthermia (HT, Tre > 39 °C) with dehydration (HT-D) and after HT with rehydration (HT-RH). Results: In the HT-D trial, the subjects lost 0.94 ± 0.15 kg (1.33% ± 0.13%) of their body weight; in the HT-RH trial, their body weight increased by 0.1 ± 0.42 kg (0.1% ± 0.58%). After lower-body heating, the HT-RH trial (vs. HT-D trial) was accompanied by a significantly lower physiological stress index (6.77 ± 0.98 vs. 7.40 ± 1.46, respectively), heart rate (47.8 ± 9.8 vs. 60.8 ± 13.2 b min−1, respectively), and systolic blood pressure (−12.52 ± 5.1 vs. +2.3 ± 6.4, respectively). During 2-min MVC, hyperthermia (HT-D; HT-RH) resulted in greater central fatigability compared with the CON trial. The voluntary activation of exercising muscles was less depressed in the HT-RH trial compared with the HT-D trial. Over the exercise period, electrically (involuntary) induced torque decreased less in the HT-D trial than in the CON and HT-RH trials. Conclusions: Our results suggest that pre-exercise rehydration might have the immediate positive effect of reducing physiological thermal strain, thus attenuating central fatigability even when exercise is performed during severe (Tre > 39 °C) HT, induced by passive warming of the lower body.
dehydration; passive body heating; isometric exercise; sodium chloride

1. Introduction

It is well established that whole-body hyperthermia impairs neuromuscular [1,2,3], cognitive performance [4,5], the ability to activate skeletal muscles [1,6], and increases central fatigue during exercise [1,2,7,8]. The results of numerous experiments have proven that work output decreases when the core temperature increases up to a critical point (i.e., rectal temperature > 38.6 °C) [9], especially when intensive activation of the thermoregulatory and cardiovascular systems takes place [10,11,12]. The contractile properties of skeletal muscles are also affected by hyperthermia [13,14]. In hyperthermia, increased contractile speed and rate of muscle relaxation is consistent with peripheral muscle effects, including an increase of sarcoplasmic reticulum (SR) ATPase activity [15], increased muscle fiber conduction velocity [16], increased Ca2+ release and uptake rate from the SR, accelerated cross-bridge formation and detachment, and increased actomyosin sensitivity to Ca2+ [17]. An increase in muscle contraction and relaxation rate can potentiate muscle force and power [18]. Hyperthermia can have a direct effect on the voluntary activation of skeletal muscles, as the temperature affects the motor unit (MU) firing rate, which is necessary for contraction summation in tetanic contraction [14,19,20]. It has been hypothesized that exercise-induced muscle fatigue under the conditions of hyperthermia may be caused by changes in both the central and the peripheral nervous systems [21]. However, Thomas et al. (2006) provided evidence that hyperthermia can interfere with the function of the central nervous system (CNS) even when there are no measurable effects on the skeletal muscles [13]. There is now strong evidence that a high core temperature promotes central fatigue [3,22]. It appears that, with the increase of the body core temperature up to 38.6 °C, maximal voluntary contraction (MVC) torque decreases, mainly because of changes in the function of the CNS [23]. In fact, passive hyperthermia reduces voluntary activation of exercising muscles during sustained muscle contraction, thus causing greater central fatigability, which is reflected in the decrease of isometric torque production [20,24].
The rate of sweat loss is associated with factors such as exercise intensity, environmental temperature, training status, age, gender, heat acclimation, humidity, and wind speed [25,26,27,28,29]. Dehydration might be one of the factors that acts in addition to heat stress to impair exercise performance during hyperthermia [12]. There is evidence indicating that the brain can undergo structural changes due to plasma osmolality perturbations as a result of heat stress, and the negative impact of heat stress on motor tasks during exercise can be further enhanced by dehydration [30]. Elevated activation of anterior cingulate and superior gyrus, brain areas associated with thirst signaling, speak for enhanced neural activity following dehydration, which is probably associated with greater neural demands for motor tasks and homeostasis maintenance as well [31]. Moreover, hyperthermia with dehydration alters several brain structure volumes, mainly by changes in plasma osmolality, thus strongly affecting neural functions (cognitive and motor) [30]. Hence, there is a question as to whether the prevention of significant dehydration caused by passively induced whole-body hyperthermia attenuates peripheral and/or central fatigability during sustained (2-min) isometric MVC.
Hyperthermia and dehydration are quite common in sports but often occur in combination with other metabolic changes, such as depletion of muscle glycogen and other glucose stores during muscle exercise [32]. However, we hypothesized that hyperthermia without dehydration (HT-RH) and hyperthermia with dehydration (HT-D) can act independently of each other to suppress exercise performance capacity. Passive body heating can be used to study hyperthermia with and without dehydration without confounding effects of the exercise-induced changes in metabolism [23]. Thus, our aim was to study the effects of pre-exercise rehydration on central and peripheral fatigability under conditions of hyperthermia induced by passive lower-body heating.

2. Materials and Methods

2.1. Volunteers and Experiments

The volunteers were 10 healthy men (age, 21 ± 1 years; height, 174.2 ± 5.3 cm; weight, 70.4 ± 6.5 kg) who were actively engaged in sports (middle-distance runners training ≥10 h per week). The participants were asked to abstain from vigorous exercise and avoid alcohol consumption within 48 h before testing, not to engage in any mental or physical work on the testing day, and not to have any food and drink (except water) within 4 h of testing. The participants slept 7–8 h the night before testing. The study was approved by the Kaunas Regional Ethics Committee of Biomedical Research (Protocol No 130/2005; Authorization No BE-2-54). The volunteers gave informed written consent to take part in the study, which consisted of three separate experiments, namely the control experiment (CON), the hyperthermia with dehydration (HT-D) experiment, and the hyperthermia with rehydration (HT-RH) experiment.

2.2. Rationale for the Experiment

The HT-D experiment differed from the CON experiment, in that hyperthermia was induced prior to exercise by applying passive body heating using a heated water bath (44 °C ± 1 °C) [25]. During the HT-RH experiment, hyperthermia was also evoked, but oral rehydration was carried out before exercise. It has been observed that 0.8–1.4 L/h of liquid might be lost by sweating when exercising at a high environmental temperature [32]. The volume of liquid that can be assimilated by physically active volunteers can reach 0.8–1.2 L/h [33]. Hypotonic dehydration and hyponatremia can occur if the loss of isosmotic plasma volume is offset by drinking water [34,35,36]. By sweating, people lose approximately 3.0–4.0 g of NaCl/L [32]. It appears that the amount of lost liquid and NaCl, as well as the circulating blood volume, can be fully restored by performing rehydration using a saline solution (0.9% NaCl), in which the concentration of NaCl is greater than that of sweat [37,38]. In the present experiment, the subjects began drinking the saline solution (0.9% NaCl at 37 °C) 15 min before the start of passive heating, and consumed 100 mL every 6 min. Thus, in the course of 60 min before and during passive heating, the subjects consumed 1000 mL of liquid.

2.3. Experimental Protocol

A familiarization session for the MVC evaluation and the electrical stimulation setting were performed on separate occasions. One week later (but not before), the subjects took part in one of the experiments in a random order. The testing was performed at the same time of day. On arrival, the participants voided their bladder, for the estimation of hydration based on urine specific gravity (Arkray Factory Inc. PocketChem UA PU-4010, Kyoto, Japan), and all subjects were found to be well hydrated before all three experiments. After the estimation of hydration levels, the subjects sat still for 30 min at the usual room temperature (22.0 °C ± 0.5 °C) with a relative humidity of 40% ± 0.5%. Subsequently, their heart rate (HR; S-625X, Polar Electro, Kempele, Finland), systolic blood pressure (SBP), and diastolic blood pressure (DBP) were measured using a manual sphygmomanometer (Microlife BP A80, Widnau, Switzerland). The subjects were also weighed, and their rectal and skin temperatures were taken (see Section 2.4). They then performed warm-up exercises, i.e., 10 min of running at a heart rate ranging from 110 to 130 beats/min. Within 10 min after the warm-up period, the subjects were seated in an isokinetic dynamometer chair with their knees fixed at an angle of 120° and rested for 5 min. Subsequently, three 5-s MVC efforts were carried out, with 2-min intervals between them. Before each contraction and 3 s after the contraction, the force generating capacity of the quadriceps muscle was tested by applying a 250 ms stimulation at 100 Hz frequency (TT-100 Hz). After the following 5-min rest, a 2-min MVC was performed with superimposed TT-100 Hz at 3, 14, 29, 44, 59, 74, 89, 104, and 119 s. Every 30 s, the subjects relaxed the exercising muscles for ~3 s and the control TT-100 Hz electrical stimulation was applied. The measurement of resting TT-100 Hz and one 5-s MVC effort with superimposed TT-100 Hz at 15 s (R-15) and 5 min (R-300) was performed after the end of the 2-min MVC. During the exercise, the subject was motivated verbally and received visual information about the force generated.
In the HT-D and HT-RH experimental trials, passive body heating was performed before exercise. Right after the heating, the skin and rectal temperatures were taken (see Section 2.4). No later than 5 min after leaving the bath, the subjects were seated in the dynamometer chair and performed 2-min MVC, followed by recovery. Aiming to reduce the loss of body heat, the subjects wore warm sports clothing and a warm cap (balaclava). At the end of both experiments, the subjects were weighed.

2.4. Body Temperature Measurements

Rectal, mean skin, mean body, and inner muscle temperatures were taken before and after passive body heating during the HT-D and HT-RH experiments. Rectal temperature (Tre) was measured using a probe covered with silicone resin with a built-in thermo-sensing element (Ellab, Rectal probe, Hillerød, Denmark). Before and after passive warming, the subjects placed the probe with a thermo-sensing element into the rectum within 10 s at a depth of 12 cm, as recommended [39]. Skin temperature was measured at three sites on the right side of the body: at the lower part of the scapula (T1), in the outward area of the median third of the thigh (T2), and the forearm (T3). The mean skin temperature (Tsk) was calculated according to the formula: Tsk = 0.5T1 + 0.36T2 + 0.14T3 [40]. The mean body temperature was calculated by applying the formula: Tb = 0.65Tre + 0.35Tsk [41]. The inner muscle temperature was taken with the help of a needle thermometer (Ellab, DM 852, Hillerød, Denmark) at a depth of 3 cm in the lateral part of the quadriceps muscle [42,43].

2.5. State of Hydration

The body mass of each participant was assessed by taking their nude mass before and 30 min after the passive heating (TBF-300, Tanita UK, Yiewsley, UK). The state of hydration was calculated using the formula: loss of body mass (%) = (body mass before passive heating − body mass after passive heating)/body mass before passive heating × 100% [44].

2.6. Physiological Stress Index

The physiological stress index (PSI) was calculated as follows: PSI = 5 (Tret − Tre0) × (39.5 − Tre0)−1 + (HRt − HR0) × (180 − HR0), where Tre0 and HR0 are the calculations performed before the passive body heating, and Tret and HRt are the calculations performed right after the passive body heating [45]. For assessment of PSI, the following scale was used: no stress or extremely low stress (0–2 points); low stress (3–4 points); medium stress (5–6 points); high stress (7–8 points), and extremely high stress (9–10 points).

2.7. Subjective Ratings

Thermal sensation and comfort were determined during the passive heating of the body. Every 5 min, the subjects had to assess their thermal sensation on a 10-point scale (neutral, 5 points; unbearably hot, 10 points) and comfort on a 5-point scale (comfortable, 1 point; very uncomfortable, 5 points) [46].

2.8. Torque and Electrical Stimulation

The force generating capacity of the knee extensor muscles was measured using the isokinetic dynamometer (System 3; Biodex Medical Systems, Shirley, New York, NY, USA). Volunteers sat upright with the knee joint positioned at a 120° angle (a 180° angle is full knee extension). Muscle surface electrical stimulation was applied using two carbonized rubber electrodes covered with an electrode gel (ECGEEG Gel; Medigel, Modi’in, Israel). One of the electrodes (6 × 11 cm) covered the proximal portion of the quadriceps femoris. Another electrode (6 × 20 cm) covered the distal part of the muscle, above the patella. The electrical stimulation was delivered using a standard electrical stimulator (MG 440; Medicor, Budapest, Hungary) in 1-ms square-wave pulses.

2.9. Central Activation Ratio Measurement

The central activation ratio (CAR) was assessed to quantify muscle voluntary activation. CAR is considered as the direct index of muscle activation by the CNS. It is based on the difference in contraction force between MVC and MVC with superimposed TT-100 Hz., i.e., CAR% = MVC/ (MVC + TT-100 Hz) × 100 [47,48].

2.10. Statistical Analysis

The interval data were tested for normal distribution using the Kolmogorov–Smirnov test, and all interval data were found to be normally distributed. Descriptive data are presented as the mean ± standard deviation (SD). Single time-point comparisons between visits were analyzed using dependent-sample t tests for the baseline values. One-way ANOVA for repeated measures was used to determine the effects of HT-D vs. HT-RH experimental trials of two levels on changes in body temperature, cardiovascular response, loss in body weight, and PSI values. Two-way ANOVA for repeated measures was used to determine the effects of experimental trials of three levels (CON vs. HT-D vs. HT-RH) × time of 10 levels (during 2-min MVC) or three levels (post-exercise recovery) on MVC and CAR; and time of five levels (during 2-min MVC) or three levels (post-exercise recovery) on electrically induced muscle contractility properties (TT-100 Hz).
A two-way ANOVA for repeated measures was also performed to study the effects of pre-exercise rehydration with hyperthermia of two levels (HT-D vs. HT-RH) × time of two levels (before vs. after lower-body heating) on body temperature, cardiovascular response, and body weight.
If significant effects were established, Sidak’s post hoc adjustment was used for multiple comparisons within each repeated-measure ANOVA. Observed power (OP, %) was calculated, and the partial eta squared (ηp2) was estimated as a measure of the experimental condition effect size. The nonparametric Wilcoxon signed-rank test for two related samples was used as ordinal data to compare changes in subjective perception (thermal and comfort sensations). Data were analyzed using SPSS version 21.0 (IBM Corp., Armonk, NY, USA).

3. Results

There was no difference between the CON, HT-D, and HT-RH experiments in all the initial (baseline) variables measured before exercise and at 3-s time point of 2-min MVC (trial effect, p > 0.05).
Passive lower-body heating resulted in significant increases in body temperature (Tre, Tsk, Tb, and Tmu) in both the HT-D and HT-RH trials (time effect; p < 0.001, ηp2 > 0.7, OP > 99%), with no time × trial interaction (Table 1). The PSI increased less in the HT-RH trial than in the HT-D trial (trial effect; p < 0.05, ηp2 = 0.35, OP = 87%). In the HT-D trial, the subjects lost 0.94 ± 0.15 kg (1.33% ± 0.13%) of their body weight; in the HT-RH trial, their body weight increased by 0.1 ± 0.42 kg (0.1% ± 0.58%) (trial effect; p < 0.001, ηp2 = 0.85, OP = 100%). The HR increased more in the HT-D trial than in the HT-RH trial (60.8 vs. 47.8 b min−1, respectively) (trial effect; p < 0.001, ηp2 = 0.61, OP = 97%). In the two experimental trials, DBP decreased significantly (time effect; p < 0.01, ηp2 = 0.42, OP = 83%), with no time × trial interaction. The SBP decreased only in the HT-RH trial, with a significant time × trial interaction (p < 0.05, ηp2 = 0.29, OP = 81%).
As shown in Figure 1A, MVC torque decreased more in the HT-D and HT-RH trials (time effect; p < 0.001, ηp2 = 0.90, OP = 100%) than in the CON trial (trial effect; p < 0.05, ηp2 = 0.32, OP = 92%) during exercise (2-min MVC), with no time × trial interaction. In the HT-D trial, TT-100 Hz torque decreased less (time effect; p < 0.001, ηp2 = 0.90, OP = 100%) than in the CON and HT-RH trials (trial effect; p < 0.05, ηp2 > 0.3, OP > 90%) during 2-min MVC, with a significant time × trial interaction (p < 0.01, ηp2 = 0.32, OP = 80%) (Figure 1C). During recovery, MVC and TT-100 Hz torque returned to the pre-exercise value 5 min (R-300) after the exercise, with no time × trial interaction.
The voluntary activation (CAR) of exercising muscles decreased over the exercise period in all three experimental trials (time effect; p < 0.001, ηp2 = 0.62, OP = 98%) (Figure 1B). The results of the present study indicate a smaller CAR decrease during exercise in the HT-RH trial vs. the HT-D trial (trial effect; p < 0.05, ηp2 = 0.32, OP = 82%), with a significant time × trial interaction (p < 0.01, ηp2 = 0.42, OP = 86%). Moreover, 15 s (R-15) after 2-min MVC, the CAR indices returned to their initial values (before exercise), with no time × trial interaction.
In the HT-D trial, the thermal sensation increased from “slightly warm” (6 points) to “hot” (8 points) (p < 0.01) and thermal comfort shifted from “comfortable” (1 point) to “uncomfortable” (3 points) (p < 0.01). In the HT-RH trial, thermal sensation increased from “slightly warm” (6 points) to “warm” (7 points) (p < 0.05), whereas comfort shifted from “comfortable” (1 point) to “slightly uncomfortable” (2 points) (p < 0.05). These changes did not differ significantly between the HT-D and HT-RH experimental trials (p > 0.05).

4. Discussion

To our knowledge, we are the first to investigate effects of water replacement on the central and peripheral fatigue during the continuous 2 min MVC in the state of passively induced whole body hyperthermia. As expected, in the present study, we showed that rehydration was a sufficient factor to decrease physiological (PSI) and cardiovascular (HR and blood pressure) thermal strain in whole-body hyperthermia. Although the lower thermal strain of HT-RH was insufficient to affect body temperature and subjective perception compared with HT-D, central fatigability was attenuated during the 2-min MVC. In the HT-RH trial (vs. the HT-D trial), the greater inhibition of the force-generating capacity was accompanied by a greater voluntary activation of the exercising muscle during the continuous MVC in the HT-RH trial, compared to the HT-D trial.
A failure to sustain voluntary activation of exercising muscles under the maximal effort indicates that the neural drive to the muscle is less than optimal [49], whereas peripheral fatigue is associated with processes within the muscle and includes excitation–contraction coupling and inhibition of cross bridge cycling by metabolites [50,51]. Both central and peripheral mechanisms can contribute to muscle force loss, and discrimination between these mechanisms is often complicated [52,53]. The electrical stimulation (TT-100 Hz) superimposed on the voluntary contraction was used to distinguish between central and peripheral mechanisms during continuous 2-min MVC [53,54]. In agreement with Racinais et al. (2008), Brazaitis et al. (2010), and Todd et al. (2005), our data shows that passive hyperthermia induces an additional decrease in voluntary activation (i.e., greater central fatigue) [1,8,17]. This additional decrease is not due to interference with the peripheral transmission of the neural drive and is likely to be associated with the supraspinal failure [1]. In comparison with a neutral environment, hyperthermia causes reduction in the amplitude of superimposed twitches generated by motor cortex stimulation during continuous MVC [14].
Water, hormonal, and neurotransmitter balances are disturbed in the heat-stressed brain. Brain morphology is transformed by dehydration in hyperthermia and has been shown to have a negative effect on cognitive–motor performance [30]. A body water deficit stresses the brain and elicits greater neural demands during cognitive–motor tasks and may accelerate fatigability [55,56]. Water replacement in the heat can attenuate reduction in the circulation in the brain, kidneys, and skin, and thus attenuate adverse effects of overheating [37,38]. In the present study, we investigated whether the prevention of significant dehydration caused by passively induced whole-body hyperthermia attenuates peripheral and/or central fatigability during sustained (2-min) isometric MVC. As expected, pre-exercise rehydration (HT-RH) decreased physiological and cardiovascular thermal strain sufficiently and attenuated central fatigability during prolonged exercise in hyperthermia. In general, greater voluntary activation of exercising muscles during continuous contractions may lead to greater metabolite accumulation and ATP depletion, slowed Ca2+ kinetics, a reduction in actomyosin sensitivity to Ca2+, and impaired cross-bridge cycling [17]. As a result, mainly because of hyperthermia-induced changes in the periphery, such as an increase in the speed of muscle contraction and relaxation [2,57], greater voluntary activation in HT-RH stressed the muscle and decreased electrically (TT-100 Hz) induced torque production to a greater extent compared with HT-D during the 2-min MVC.
The morphological differences between men and women [58] and the deterioration in thermoregulatory responses to extreme temperatures in older individuals [15,59] suggest that the results of the present study on young men cannot be generalized to women and other age groups. Another possible limitation is that we could not control precisely the balance of rehydration-to-dehydration levels, mainly because of methodological considerations (e.g., heat acclimation effect).
Sports drinks often contain salts to replace the loss of electrolytes during exercise, but the concentration of sodium, chloride, and potassium ions in these drinks is usually significantly lower than in sweat [60]. It has been suggested that endurance athletes competing in hot environments and those with salty sweat or an inability to properly match liquid intake with sweat loss would benefit from salt supplements in addition to sports drinks [61]. In addition to this, it has been shown that a delayed effect of oral 0.9% or 1.07% saline ingestion on plasma volume, blood, and urine osmolality, which in the case of 0.9% saline fluid peaks 1–2 h after ingestion (1 L within 30 min) was completed [62]. Based on reported plasma volume and osmolality kinetics, it seems reasonably indicative that in our case, at the moment of exercise (2-min MVC), the plasma osmolality was restored close to homeostatic level and were not much below or above the physiological level. It is novel that fluid replacement by using oral 0.9% saline ingestion is an effective way for reducing physiological and cardiovascular thermal strain and attenuating central fatigability when exercise is performed during severe whole-body hyperthermia. Thus, for practitioners, it is advantageous to use salt supplements to compensate for the loss of electrolytes in long-lasting endurance events and to prevent central fatigability.

5. Conclusions

Our results suggest that pre-exercise rehydration might have an immediate positive effect in reducing physiological and cardiovascular thermal strain, thus attenuating central fatigability, even when exercise is performed during severe (Tre > 39 °C) hyperthermia induced by passive warming of the lower body.

Author Contributions

The authors A.S. and A.R. contributed to the design of the work. The authors K.V., S.S., and M.B. performed the experiments. The authors K.V., A.S., M.B., and A.R. contributed to the analysis and interpretation of data for the work. The authors K.V., M.B., and A.R. drafted the work for important intellectual content. The authors K.V., A.S., A.R., S.S., and M.B. finally approved the version to be submitted. The author M.B. contributed to the revision of this work. All the authors agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.


No funding was provided for this work.


The authors acknowledge the participants who volunteered for the study.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Racinais, S.; Gaoua, N.; Grantham, J. Hyperthermia impairs short-term memory and peripheral motor drive transmission. J. Physiol. 2008, 586, 4751–4762. [Google Scholar] [CrossRef] [PubMed][Green Version]
  2. Brazaitis, M.; Skurvydas, A.; Pukenas, K.; Daniuseviciute, L.; Mickeviciene, D.; Solianik, R. The effect of temperature on amount and structure of motor variability during 2-minute maximum voluntary contraction. Muscle Nerve 2012, 46, 799–809. [Google Scholar] [CrossRef] [PubMed]
  3. Nybo, L. Hyperthermia and fatigue. J. Appl. Physiol. (1985) 2008, 104, 871–878. [Google Scholar] [CrossRef] [PubMed][Green Version]
  4. Hancock, P.A.; Vasmatzidis, I. Effects of heat stress on cognitive performance: The current state of knowledge. Int. J. Hyperth. 2003, 19, 355–372. [Google Scholar] [CrossRef] [PubMed]
  5. Gaoua, N. Cognitive function in hot environments: A question of methodology. Scand. J. Med. Sci. Sports 2010, 3, 60–70. [Google Scholar] [CrossRef] [PubMed]
  6. Brazaitis, M.; Eimantas, N.; Daniuseviciute, L.; Vitkauskiene, A.; Paulauskas, H.; Skurvydas, A. Two strategies for the acute response to cold exposure but one strategy for the response to heat stress. Int. J. Hyperth. 2015, 31, 325–335. [Google Scholar] [CrossRef]
  7. Meeusen, R.; Roelands, B. Central fatigue and neurotransmitters, can thermoregulation be manipulated? Scand. J. Med. Sci. Sports 2010, 3, 19–28. [Google Scholar] [CrossRef] [PubMed]
  8. Brazaitis, M.; Skurvydas, A.; Vadopalas, K.; Daniuseviciute, L. Force variability depends on core and muscle temperature. J. Therm. Biol. 2010, 35, 386–391. [Google Scholar] [CrossRef]
  9. Cheung, S.S.; McLellan, T.M. Comparison of short-term aerobic training and high aerobic power on tolerance to uncompensable heat stress. Aviat. Space Environ. Med. 1998, 70, 637–643. [Google Scholar]
  10. González-Alonso, J.; Mora-Rodríguez, R.; Coyle, E.F. Stroke volume during exercise: Interaction of environment and hydration. Am. J. Physiol. Heart Circ. Physiol. 2000, 278, 321–330. [Google Scholar] [CrossRef]
  11. Nybo, L.; Moller, K.; Volianitis, S.; Nielsen, B.; Secher, N.H. Effects of hyperthermia on cerebral blood flow and metabolism during prolonged exercise in humans. J. Appl. Physiol. 2002, 93, 58–64. [Google Scholar] [CrossRef] [PubMed][Green Version]
  12. Rowell, L.B. Human cardiovascular adjustments to exercise and thermal stress. Physiol. Rev. 1974, 54, 159–175. [Google Scholar] [CrossRef] [PubMed]
  13. Thomas, M.M.; Cheung, S.S.; Elder, G.C.; Sleivert, G.G. Voluntary muscle activation is impaired by core temperature rather than local muscle temperature. J. Appl. Physiol. 2006, 100, 1361–1369. [Google Scholar] [CrossRef] [PubMed]
  14. Todd, G.; Butler, J.E.; Taylor, J.L.; Gandevia, S.C. Hyperthermia: A failure of the motor cortex and the muscle. J. Physiol. 2005, 563, 621–631. [Google Scholar] [CrossRef] [PubMed]
  15. Kenney, W.L.; Munce, T.A. Invited review: Aging and human temperature regulation. J. Appl. Physiol. (1985) 2003, 6, 2598–2603. [Google Scholar] [CrossRef] [PubMed]
  16. Rall, J.A.; Woledge, R.C. Influence of temperature on mechanics and energetics of muscle contraction. Am. J. Physiol. 1990, 259, R197–R203. [Google Scholar] [CrossRef]
  17. Rutkove, S.B. Effects of temperature on neuromuscular electrophysiology. Muscle Nerve 2001, 24, 867–882. [Google Scholar] [CrossRef]
  18. De Ruiter, C.J.; De Haan, A. Temperature effect on the force/velocity relationship of the fresh and fatigued human adductor pollicis muscle. Pflug. Arch. 2000, 440, 163–170. [Google Scholar] [CrossRef]
  19. Hunter, A.M.; St Clair Gibson, A.; Mbambo, Z.; Lambert, M.I.; Noakes, T.D. The effects of heat stress on neuromuscular activity during endurance exercise. Pflug. Arch. 2002, 444, 738–743. [Google Scholar][Green Version]
  20. Martin, P.G.; Marino, F.E.; Rattey, J.; Kay, D.; Cannon, J. Reduced voluntary activation of human skeletal muscle during shortening and lengthening contractions in whole body hyperthermia. Exp. Physiol. 2005, 90, 225–236. [Google Scholar] [CrossRef] [PubMed][Green Version]
  21. Kent-Braun, J.A. Central and peripheral contributions to muscle fatigue in humans during sustained maximal effort. Eur. J. Appl. Physiol. Occup. Physiol. 1999, 80, 57–63. [Google Scholar] [CrossRef] [PubMed]
  22. Nybo, L.; Nielsen, B. Hyperthermia and central fatigue during prolonged exercise in humans. J. Appl. Physiol. 2001, 91, 1055–1060. [Google Scholar] [CrossRef] [PubMed]
  23. Cheung, S.S.; Sleivert, G.G. Multiple triggers for hyperthermic fatigue and exhaustion. Exerc. Sport Sci. Rev. 2004, 32, 100–106. [Google Scholar] [CrossRef] [PubMed]
  24. Morrison, S.; Sleivert, G.G.; Cheung, S.S. Passive hyperthermia reduces voluntary activation and isometric force production. Eur. J. Appl. Physiol. 2004, 91, 729–736. [Google Scholar] [CrossRef] [PubMed]
  25. Brazaitis, M.; Skurvydas, A. Heat acclimation does not reduce the impact of hyperthermia on central fatigue. Eur. J. Appl. Physiol. 2010, 109, 771–778. [Google Scholar] [CrossRef] [PubMed]
  26. Gonzalez, R.R.; Cheuvront, S.N.; Ely, B.R.; Moran, D.S.; Hadid, A.; Endrusick, T.L.; Sawka, M.N. Sweat rate prediction equations for outdoor exercise with transient solar radiation. J. Appl. Physiol. (1985) 2012, 112, 1300–1310. [Google Scholar] [CrossRef][Green Version]
  27. Larose, J.; Boulay, P.; Wright-Beatty, H.E.; Sigal, R.J.; Hardcastle, S.; Kenny, G.P. Age-related differences in heat loss capacity occur under both dry and humid heat stress conditions. J. Appl. Physiol. (1985) 2014, 117, 69–79. [Google Scholar] [CrossRef] [PubMed][Green Version]
  28. Cernych, M.; Baranauskiene, N.; Eimantas, N.; Kamandulis, S.; Daniuseviciute, L.; Brazaitis, M. Physiological and psychological responses during exercise and recovery in a cold environment is gender-related rather than fabric-related. Front. Psychol. 2017, 8, 1344. [Google Scholar] [CrossRef] [PubMed]
  29. Brazaitis, M.; Paulauskas, H.; Eimantas, N.; Obelieniene, D.; Baranauskiene, N.; Skurvydas, A. Heat transfer and loss by whole-body hyperthermia during severe lower-body heating are impaired in healthy older men. Exp. Gerontol. 2017, 96, 12–18. [Google Scholar] [CrossRef]
  30. Wittbrodt, M.T.; Sawka, M.N.; Mizelle, J.C.; Wheaton, L.A.; Millard-Stafford, M.L. Exercise-heat stress with and without water replacement alters brain structures and impairs visuomotor performance. Physiol. Rep. 2018, 6, e13805. [Google Scholar] [CrossRef] [PubMed]
  31. Egan, G.; Silk, T.; Zamarripa, F.; Williams, J.; Federico, P.; Cunnington, R.; Carabott, L.; Blair-West, J.; Shade, R.; McKinley, M.; et al. Neural correlates of the emergence of consciousness of thirst. Proc. Natl. Acad. Sci. USA 2003, 100, 15241–15246. [Google Scholar] [CrossRef][Green Version]
  32. Armstrong, L.E. Performing in Extreme Environments; Human Kinetics: Champaign, IL, USA, 1999; pp. 15–63. [Google Scholar]
  33. Coyle, E.F. Fluid and fuel intake during exercise. J. Sports Sci. 2004, 22, 39–55. [Google Scholar] [CrossRef][Green Version]
  34. Armstrong, L.E.; Curtis, W.C.; Hubbard, R.W.; Francesconi, R.P.; Moore, R.; Askew, E.W. Symptomatic hyponatremia during prolonged exercise in heat. Med. Sci. Sports Exerc. 1993, 25, 543–549. [Google Scholar] [CrossRef] [PubMed]
  35. Sharp, R.L. Role of sodium in fluid homeostasis with exercise. J. Am. Coll. Nutr. 2006, 25, 231–239. [Google Scholar] [CrossRef]
  36. Twerenbold, R.; Knechtle, B.; Kakebeeke, T.H.; Eser, P.; Müller, G.; von Arx, P.; Knecht, H. Effects of different sodium concentrations in replacement fluids during prolonged exercise in women. Br. J. Sports Med. 2003, 37, 300–303. [Google Scholar] [CrossRef] [PubMed]
  37. Shirreffs, S.M.; Armstrong, L.E.; Cheuvront, S.N. Fluid and electrolyte needs for preparation and recovery from training and competition. J. Sports Sci. 2004, 22, 57–63. [Google Scholar] [CrossRef] [PubMed][Green Version]
  38. Yawata, T. Effect of potassium solution on rehydration in rats: Comparison with sodium solution and water. J. Physiol. Sci. 1990, 40, 369–981. [Google Scholar] [CrossRef]
  39. Proulx, C.I.; Ducharme, M.B.; Kenny, G.P. Effect of water temperature on cooling efficiency during hyperthermia in humans. J. Appl. Physiol. 2003, 94, 1317–1323. [Google Scholar] [CrossRef] [PubMed][Green Version]
  40. Burton, A.C. Human calorimetry II: The average temperatures of the tissues of the body. J. Nutr. 1935, 9, 261–280. [Google Scholar] [CrossRef]
  41. Ramanathan, N.L. A new weighting system for mean surface temperature of the human body. J. Appl. Physiol. 1964, 19, 531–533. [Google Scholar] [CrossRef]
  42. Brazaitis, M.; Eimantas, N.; Daniuseviciute, L.; Mickeviciene, D.; Steponaviciute, R.; Skurvydas, A. Two strategies for response to 14 °C cold-water immersion: Is there a difference in the response of motor, cognitive, immune and stress markers? PLoS ONE 2014, 9, e109020. [Google Scholar] [CrossRef] [PubMed]
  43. Solianik, R.; Skurvydas, A.; Pukėnas, K.; Brazaitis, M. Comparison of the effects of whole-body cooling during fatiguing exercise in males and females. Cryobiology 2015, 71, 112–118. [Google Scholar] [CrossRef] [PubMed]
  44. Pranskunas, A.; Pranskuniene, Z.; Milieskaite, E.; Daniuseviciute, L.; Kudreviciene, A.; Vitkauskiene, A.; Skurvydas, A.; Brazaitis, M. Effects of whole body heat stress on sublingual microcirculation in healthy humans. Eur. J. Appl. Physiol. 2015, 115, 157–165. [Google Scholar] [CrossRef] [PubMed]
  45. Moran, D.S.; Shapiro, Y.; Laor, A.; Izraeli, S.; Pandolf, K.B. Can gender differences during exercise-heat stress be assessed by the physiological strain index? Am. J. Physiol. 1999, 276, 1798–1804. [Google Scholar] [CrossRef] [PubMed]
  46. Gagge, A.P.; Stolwijk, J.A.; Saltin, B. Comfort and thermal sensations and associated physiological responses during exercise at various ambient temperatures. Environ. Res. 1969, 3, 209–229. [Google Scholar] [CrossRef]
  47. Bilodeau, M. Central fatigue in continuous and intermittent contractions of triceps brachii. Muscle Nerve 2006, 34, 205–213. [Google Scholar] [CrossRef] [PubMed]
  48. Kyguoliene, L.; Skurvydas, A.; Eimantas, N.; Baranauskiene, N.; Balnyte, R.; Brazaitis, M. The effect of three different strategies based on motor task performance on neuromuscular fatigue in healthy men and men with multiple sclerosis. Medicina (Kaunas) 2018, 54, 33. [Google Scholar] [CrossRef] [PubMed]
  49. Gandevia, S.C. Spinal and supraspinal factors in human muscle fatigue. Physiol. Rev. 2001, 81, 1725–1789. [Google Scholar] [CrossRef]
  50. Fitts, R.H. Cellular mechanisms of muscle fatigue. Physiol. Rev. 1994, 74, 49–94. [Google Scholar] [CrossRef]
  51. Allen, D.G.; Westerblad, H. Role of phosphate and calcium stores in muscle fatigue. J. Physiol. 2001, 536, 657–665. [Google Scholar] [CrossRef][Green Version]
  52. Enoka, R.M. Motor unit recruitment threshold. J. Appl. Physiol. 2008, 105, 1676–1681. [Google Scholar] [CrossRef] [PubMed]
  53. Bernecke, V.; Pukenas, K.; Imbrasiene, D.; Mickeviciene, D.; Baranauskiene, N.; Eimantas, N.; Brazaitis, M. Test-retest cross-reliability of tests to assess neuromuscular function as a multidimensional concept. J. Strength Cond. Res. 2015, 29, 1972–1984. [Google Scholar] [CrossRef] [PubMed]
  54. Bernecke, V.; Pukenas, K.; Daniuseviciute, L.; Baranauskiene, N.; Paulauskas, H.; Eimantas, N.; Brazaitis, M. Sex-specific reliability and multidimensional stability of responses to tests assessing neuromuscular function. Homo 2017, 68, 452–464. [Google Scholar] [CrossRef] [PubMed]
  55. Cerasa, A.; Hagberg, G.E.; Bianciardi, M.; Sabatini, U. Visually cued motor synchronization: Modulation of fMRI activation patterns by baseline condition. Neurosci. Lett. 2005, 373, 32–37. [Google Scholar] [CrossRef] [PubMed]
  56. Horenstein, C.; Lowe, M.J.; Koenig, K.A.; Phillips, M.D. Comparison of unilateral and bilateral complex finger tapping-related activation in premotor and primary motor cortex. Hum. Brain Mapp. 2009, 30, 1397–1412. [Google Scholar] [CrossRef] [PubMed]
  57. Brazaitis, M.; Skurvydas, A.; Vadopalas, K.; Daniuseviciute, L.; Senikiene, Z. The effect of heating and cooling on time course of voluntary and electrically induced muscle force variation. Medicina (Kaunas) 2011, 47, 39–45. [Google Scholar] [CrossRef] [PubMed]
  58. Janssen, I.; Heymsfield, S.B.; Wang, Z.M.; Ross, R. Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr. J. Appl. Physiol. 2000, 89, 81–88. [Google Scholar] [CrossRef]
  59. Stephenson, L.A.; Kolka, M.A. Thermoregulation in women. Exerc. Sport Sci. 1993, 21, 231–262. [Google Scholar] [CrossRef]
  60. Coso, J.D.; Estevez, E.; Baquero, R.A.; Mora-Rodriguez, R. Anaerobic performance when rehydrating with water or commercially available sports drinks during prolonged exercise in the heat. Appl. Physiol. Nutr. Metab. 2008, 33, 290–298. [Google Scholar] [CrossRef]
  61. Montain, S.J.; Cheuvront, S.N.; Sawka, M.N. Exercise associated hyponatraemia: Quantitative analysis to understand the aetiology. Br. J. Sports Med. 2006, 40, 98–105. [Google Scholar] [CrossRef]
  62. Frey, M.A.; Riddle, J.; Charles, J.B.; Bungo, M.W. Blood and urine responses to ingesting fluids of various salt and glucose concentrations. J. Clin. Pharmacol. 1991, 31, 880–887. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Maximal voluntary contraction (MVC) torques (A), central activation ratio (CAR) (B), and TT-100 Hz torque (C) during 2-min MVC, followed by recovery 15 s (R-15) and 300 s (R-300) after the exercise in the control (CON) experiment and in experiments with hyperthermia with dehydration (HT-D) and hyperthermia with rehydration (HT-RH). The values pertaining to the pre-exercise period (Pre) were taken from the initial measurements performed in these experiments. * p < 0.05 compared with Pre values; # p < 0.05 CON compared with HT-D; ‡ p < 0.05 CON compared with HT-RH; and & p < 0.05 HT-D compared with HT-RH.
Figure 1. Maximal voluntary contraction (MVC) torques (A), central activation ratio (CAR) (B), and TT-100 Hz torque (C) during 2-min MVC, followed by recovery 15 s (R-15) and 300 s (R-300) after the exercise in the control (CON) experiment and in experiments with hyperthermia with dehydration (HT-D) and hyperthermia with rehydration (HT-RH). The values pertaining to the pre-exercise period (Pre) were taken from the initial measurements performed in these experiments. * p < 0.05 compared with Pre values; # p < 0.05 CON compared with HT-D; ‡ p < 0.05 CON compared with HT-RH; and & p < 0.05 HT-D compared with HT-RH.
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Table 1. Body temperature, body weight, heart rate, blood pressure, and thermal strain before and after lower-body heating in experiments of hyperthermia with dehydration (HT-D) and hyperthermia with rehydration (HT-RH).
Table 1. Body temperature, body weight, heart rate, blood pressure, and thermal strain before and after lower-body heating in experiments of hyperthermia with dehydration (HT-D) and hyperthermia with rehydration (HT-RH).
Tre, °C37.38 ± 0.2339.36 ± 0.30 *37.22 ± 0.2339.32 ± 0.48 *
Tb, °C36.34 ± 0.2138.45 ± 0.33 *36.49 ± 0.2438.63 ± 0.24 *
Tsk, °C34.42 ± 0.5536.77 ± 0.66 *34.61 ± 0.8536.95 ± 0.59 *
Tmu, °C36.97 ± 0.2839.96 ± 0.31 *36.91 ± 0.2939.83 ± 0.31 *
Body weight, kg70.42 ± 6.5469.48 ± 6.42 *71.06 ± 7.1170.96 ± 6.78
HR, b min−169.00 ± 5.57129.80 ± 23.45 *66.20 ± 7.29114.00 ± 13.87 *,&
SBP, mmHg127.00 ± 18.61129.00 ± 26.66131.20 ± 13.85120.60 ± 7.70 *,&
DBP, mmHg79.40 ± 13.1862.00 ± 19.40 *74.60 ± 5.3758.40 ± 9.24 *
PSI 7.40 ± 1.46 6.77 ± 0.98 &
Tre, rectal temperature; Tb, mean body temperature; Tsk, mean skin temperature; Tmu, intramuscular temperature; HR, heart rate; SBP, systolic blood pressure; DBP, diastolic blood pressure; PSI, physiological stress index. Values are shown as the mean ± SD. * p < 0.05 compared with the baseline and & p < 0.05 compared with HT-D.

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