Front Public Health. 2023; 11: 1303804.
The influence of extreme thermal stress on the physiological and psychological characteristics of young women who sporadically use the sauna: practical implications for the safe use of the sauna
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Robert Podstawski
1School of Public Health, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
Krzysztof Borysławski
2Angelus Silesius University of Applied Sciences, Institute of Health, Wałbrzych, Poland
Natalia Maja Józefacka
3Institute of Psychology, Pedagogical University of Krakow, Krakow, Poland
Jadwiga Snarska
1School of Public Health, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
Bożena Hinca
4Department of Physical Education and Sport, University of Gdańsk, Gdańsk, Poland
Elżbieta Biernat
5Collegium of World Economy, SGH Warsaw School of Economics, Warsaw, Poland
Anna Podstawska
6Independent Researcher, Olsztyn, Poland
1School of Public Health, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
2Angelus Silesius University of Applied Sciences, Institute of Health, Wałbrzych, Poland
3Institute of Psychology, Pedagogical University of Krakow, Krakow, Poland
4Department of Physical Education and Sport, University of Gdańsk, Gdańsk, Poland
5Collegium of World Economy, SGH Warsaw School of Economics, Warsaw, Poland
6Independent Researcher, Olsztyn, Poland
Corresponding author.
Edited by: Linchen He, Lehigh University, United States
Reviewed by: Daniel Krüerke, Klinik Arlesheim, Switzerland
Ziqi Zhao, China Meteorological Administration, China
Received 2023 Sep 28; Accepted 2023 Dec 19.
Copyright © 2024 Podstawski, Borysławski, Józefacka, Snarska, Hinca, Biernat and Podstawska.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Associated Data
- Data Availability Statement
The datasets presented in this article are not readily available because the access to Excel data has been restricted by the Ethics Committee of the UWM in Olsztyn to protect the participants’ privacy. Researchers who meet the criteria for access to confidential data can submit a data request by email. Requests to access the datasets should be directed to moc.liamg@treborikswatsdop.
Abstract
Background
Many individuals who use the sauna at a temperature of 120°C of higher are not aware of the negative consequences of extreme thermal stress. Despite extensive research into sauna use, the impact of extreme thermal stress on the physiological and psychological characteristics of sauna users have not been examined to date.
Aim
The aim was to determine the effect of 20
min sauna sessions with a temperature of 80°C and 120°C on the physiological and psychological characteristics of women who sporadically visit the sauna.
Methods
The study was conducted on 22 full-time female university students. Physical activity (PA) levels were evaluated with the Polish short version of the International Physical Activity Questionnaire (IPAQ). Anthropometric characteristics were measured before the first sauna session by the InBody270 body composition analyzer. Physiological parameters, including heart, energy expenditure, physical effort, and blood pressure (systolic blood pressure – SBP, and diastolic blood pressure – DBP), were assessed indirectly using Polar V800 heart rate monitors and the Omron M6 Comfort blood pressure monitor. The participants’ wellbeing was assessed with the Profile of Mood States (POMS) questionnaire. The presence of significant correlations between heat exhaustion and heat stress variables and syncope during the second sauna session was examined with the use of classification and regression trees (CRT) and the cross-validation technique.
Conclusion
Excessive air temperature can induce symptoms characteristic of heat exhaustion and heat stress nausea, heavy sweating, fast weak or strong HR, high body temperature, and confusion. Therefore, sauna bathing at a temperature of 80°C can be recommended to women who sporadically use the sauna, whereas exposure to a temperature of 120°C is not advised in this group of sauna users. The present findings provide highly valuable inputs for managing wellness and SPA centers.
Keywords: female university students, Finnish sauna, different temperatures, mood, blood pressure, heart rate
1. Introduction
Thermal stress resulting from exposure to high and low temperatures is often considered a challenge to human health and homeostasis. However, variable environmental conditions improve the physiological adaptation of the human body to heat and cold to a certain extent (1, 2). Heat stress has been researched more extensively than cold stress, but most studies indicate that both heat (3–9) and cold stress (10–14), as well as alternating heat/cold stress (15, 16) can deliver health benefits regardless of other lifestyle factors.
Finnish sauna is a typical example of heat therapy. Traditional Finnish sauna has been used for thousands of years for leisure, relaxation, and wellness to reduce the stress of everyday life (17, 18). To date, most studies have investigated traditional Finnish sauna sessions which consist of short-term (5–20min) heat exposures to temperatures of 80°C–100°C and dry air (relative humidity of 10 to 20%), interspersed with periods of increased humidity when water is poured on hot rocks (19). Sauna bathing is “an ancient habit in both cold and warm climates” (20). These facts are relatively unknown to sauna users who generally view the sauna as short-term exposure to exceptionally high environmental temperatures. A sauna bath involves repetitions of alternating heat with cold, and it exerts bidirectional effects on the human body, depending on the hot and cold ratio and the intensity of heat and cold exposure. Unlike the warm-up phase, sudden exposure to cold activates the sympathetic nervous system and causes constriction of cutaneous blood vessels. Cold exposure generally induces opposite changes in the cardiovascular system than heat exposure: the heart rate (HR) decreases, whereas stroke volume and diastolic (DBP) and systolic (SBP) blood pressure increase (16, 21, 22).
There is considerable evidence to suggest that sauna baths can induce profound physiological effects (23–27). Regular sauna use has been found to improve the health-related quality of life (28). Increased frequency and duration of sauna bathing are inversely, strongly, and independently associated with fatal coronary heart disease and cardiovascular disease (CVD) events, all-cause mortality, and the risk of sudden cardiac death (SCD) (29). Emerging evidence suggests that sauna bathing improves cardiovascular health by decreasing arterial stiffness and BP, and improving selected blood-based biomarkers (30). Sauna baths have been linked to improved management of pain and symptoms associated with musculoskeletal disorders, including osteoarthritis, rheumatoid arthritis, and fibromyalgia (31, 32). Sauna bathing was also reported to improve mood (33, 34) and alleviate headaches (35). In regular users, the relaxing effects of sauna therapy combined with cold water immersion usually lead to a decrease in serum cortisol levels (27).
In the last decade, the influence of thermal stress on athletes has been investigated by numerous researchers who found that the final effect was determined by various factors. During far-infrared sauna (FIRS) sessions at moderate temperatures (35–50°C) and low humidity (25–35%), the deep penetration of infrared heat (approx. 3–4cm into the adipose tissue and the neuromuscular system) contributes to the recovery of neuromuscular performance after maximal endurance training. FIRS bathing exerts a light load on the body and provides a comfortable and relaxing experience (4). In turn, Rissanen et al. (36) demonstrated that the traditional sauna poses a strenuous load and should not be recommended 24h before the next training session. Hormonal responses to exercise loadings did not change after sauna. Physical activity is associated with oxidative stress, and as a result of regular physical training, the body adapts to the changes in the oxidant-antioxidant balance, which increases antioxidant capacity (37, 38). Sutkowy et al. (13) found that a high-intensity 30min aerobic cycle ergometer test (approx. 80% of HRmax), followed by ice-water immersion (3°C, 5min) or recovery at room temperature had no considerable effect on the serum activities of selected lysosomal enzymes and 1-antitrypsin in young (aged 18) amateur football players. These findings suggest that the stability of lysosomal membranes in tissues (in particular in striated muscles) was not significantly affected by exercise followed by immersion or recovery. Exercise/recovery decreased hydrogen peroxide concentration in erythrocytes, whereas exercise/immersion exerted the opposite effect. Pawłowska et al. (15) reported that cold water immersion appeared to be more effective than sauna in reducing the inflammatory response after exercise.
Sauna bathing is generally considered safe, and it is usually well tolerated by people of all ages, from children to seniors (19). However, inadequate sauna use can pose a health risk (39). Hot air sauna burns (HASB) are not encountered frequently, but they can be potentially lethal, with simultaneous rhabdomyolysis. Burns are sustained when immobile sauna bathers are exposed to hot air for long periods of time. The parts of the body that are directly exposed to hot air are most likely to be affected. As a result, the heat effects accumulate on the most exposed body parts and cause the so called “Apex Burns.” Exposure to hot air can lead to complex injuries, where full-thickness skin damage is accompanied by deeper tissue damage (40, 41). In a study by Ghods et al. (39), 16 sauna users sustained burns between 1999 and 2006, and the percentage of burned body surface was determined at 5–25%. In a Finnish study of sauna-related burns, 7% of all burns were caused by hot air (11 out of 154 patients) (42).
However, bodily responses to extremely high temperatures in the sauna have been less well researched. Sporadic sauna users may be unaware of safe temperature limits and are often exposed to excessive thermal stress in the sauna. Therefore, the aim of this study was to determine the effect of 20min sauna sessions with temperatures of 80°C and 120°C on the physiological and psychological characteristics of young women who sporadically use the sauna. The results of this study provide valuable inputs for managing wellness and SPA centers.
2. Materials and methods
2.1. Statement
The research methodology used in this study has been applied in previous studies investigating the effect of thermal stress on the physiological characteristics of young adults, conducted by the authors, whose results have already been published (references 56 to 65). According to the reviewers, the adopted methods are reliable and the obtained results are objective. Therefore, the research methodology and the presentation of results in this study are similar to those in previous articles by the authors who assume full responsibility for the content and structure of this manuscript.
2.2. Participant selection
The study was conducted on 22 full-time university female students aged 18–27years (22.26±3.15) who volunteered for the research. Potential participants were informed about the purpose of the study during obligatory physiology classes at the University of Warmia and Mazury in Olsztyn (UWM). Those of them who agreed to participate in the experiment (28 women) received e-mail notifications and text messages informing them whether they met the inclusion criteria, and inviting them to the final stage of recruitment. Menstruating females were excluded from the study. Twenty-two female university students meeting the inclusion criteria were selected from a group of 26 volunteers and recruited for the study. All participants were examined by a physician, and they declared, in the physician’s presence, that they did not take any medications or nutritional supplements, were in good health, and had no history of blood diseases or diseases that could affect biochemical and biomechanical parameters. None of the evaluated participants had respiratory or circulatory ailments. In addition, the participants were closely supervised by a paramedic and a cardiologist during the entire study.
2.2.1. Analysis I – anthropometric and body composition parameters
The descriptive statistics of anthropometric and body composition parameters are shown in . No significant deviations from normal distribution were found in any of the analyzed parameters. An analysis of the mean (898.0 MET) and minimum-maximum energy expenditure values (680-1,150 MET) demonstrated that the participants were characterized by moderate PA levels. The mean BMI value was within the norm (21.34kg/m2), and WHR (0.84) was not indicative of gynoid or android obesity. However, total BFM was excessive relative to FFM, and the participants should lose 1kg of fat tissue to achieve the target weight (FFM control – 2.1kg).
Table 1
Descriptive statistics of the studied anthropometric and body composition parameters.
| Parameter | Mean | SD | Min–Max | As |
|---|
| Age [years] | 22.26 | 3.15 | 18–27 | −0.14 |
| PA [METs/min/week] | 898.0 | 135.5 | 680–1,150 | 0.13 |
| Body height [cm] | 166.41 | 5.07 | 158–176 | 0.43 |
| Body mass [kg] | 59.10 | 8.43 | 48.1–84.8 | 1.32 |
| Weight control [kg] | 1.01 | 7.18 | −19.3–7.9 | −0.76 |
| BMI (Body Mass Index) [kg/m2] | 21.34 | 2.80 | 16.6–29.3 | 0.97 |
| WHR (Waist-Hip Ratio) | 0.84 | 0.04 | 0.78–0.96 | 1.02 |
| TBW (Total Body Water) [L] | 32.46 | 2.83 | 27.7–39.3 | 0.62 |
| Proteins [kg] | 8.70 | 0.78 | 7.2–10.5 | 0.35 |
| Minerals [kg] | 3.18 | 0.31 | 2.8–3.9 | 1.04 |
| SMM (Skeletal Muscle Mass) [kg] | 24.31 | 2.33 | 20.1–29.6 | 0.40 |
| PBF (Percent Body Fat) [%] | 24.38 | 5.64 | 13.2–40.5 | 0.93 |
| BFM (Body Fat Mass) [kg] | 14.76 | 5.74 | 6.4–34.4 | 1.13 |
| BFM control [kg] | −1.04 | 5.47 | −19.3–7.9 | −1.18 |
| FFM (Fat Free Mass) [kg] | 44.34 | 3.90 | 37.8–53.7 | 0.62 |
| FFM control [kg] | 2.05 | 2.83 | 0.0–8.6 | 1.12 |
| VFL (Visceral Fat Level) [kg] | 5.68 | 2.78 | 2–16 | 1.63 |
| Target weight [kg] | 60.11 | 4.24 | 53.7–69.8 | 0.62 |
2.3. Ethical approval
The study was conducted upon the prior consent of the Ethics Committee of the UWM in Olsztyn (No. 10/2020), Poland. The participants were volunteers who signed an informed consent statement.
2.4. Instruments and procedures
2.4.1. Assessment of physical activity levels
Physical activity (PA) levels (quantitative analysis) were assessed using the Polish short version of the standardized and validated International Physical Activity Questionnaire (IPAQ) (43). The IPAQ was used only to select a homogenous sample of female students, and the results were presented only in terms of metabolic equivalent of task (MET) units indicative of the participants’ PA levels. Before the experiment, the participants declared the average weekly number of minutes dedicated to PA (minimum of 10min). The energy expenditure associated with weekly PA levels was expressed as METs-min/week (44). The MET is the ratio of the work metabolic rate to the resting metabolic rate, and 1 MET denotes the amount of oxygen consumed in 1min, which is estimated at 3.5mL/kg/min. Based on the declared frequency, intensity and duration of PA, the students were classified into groups characterized by low (<600 METs-min/week), moderate (600 to 1,500 METs per week), and high (≥1,500 METs-min/week) levels of activity. Only the females whose PA levels were classified as moderate and who had sporadically visited a sauna (1–3 times in their lifetime) were chosen for the study. A previous study of university students demonstrated that PA levels can significantly affect physiological parameters during sauna use (45), and in the present study, the participants’ PA levels were assessed to obtain a relatively homogeneous sample.
2.4.2. Anthropometric and body composition parameters
Body height was measured to the nearest 1mm with an InLab stadiometer (InBody Poland, Maniac Gym A.B.H Leszczyńscy, Białystok, Poland) equipped with ultrasound sensors that measure the distance from the head to the floor in 1s. Anthropometric parameters, including body mass, body mass index (BMI), body surface area (BSA), and the waist-hip ratio (WHR), were measured directly before the first sauna session by bioelectrical impedance (46) with the InBody 270 body composition analyzer (InBody Poland, Maniac Gym A.B.H Leszczyńscy, Białystok, Poland). The same equipment was used to determine body composition parameters, including total body water (TBW), protein and mineral content, body fat mass (BFM), fat-free mass (FFM), skeletal muscle mass (SMM), percent body fat (PBF), InBody score, target weight, visceral fat level (VFL), basal metabolic rate (BMR), and degree of obesity. It was assumed that a seven-day interval between sauna sessions would not induce significant changes in the participants’ anthropometric and body composition parameters. To determine the loss of bodily fluids, body mass was measured directly before and after each sauna session with the InBody 270 analyzer.
2.4.3. Physiological parameters
Before the experiment, all participants were familiarized with sauna rules. They were asked to drink minimum 1L of water on the day of the trial and 0.5L of water 2h before the sauna session. The participants did not consume any foods or fluids until after the final body measurements at the end of the experiment. In order to eliminate the effect of diurnal variation on the experimental results, all participants visited a dry sauna in the same location, always between 8:00 and 10:00a.m. (22). Every participant attended two sauna sessions (session I: temperature – 80°C; relative humidity – 14–16%; session II: temperature – 120°C, humidity – 12–14%) of 20min each and remained in a sitting position during each session. The first and the second sauna session were separated by a period of 1week. After each session, female students recovered in a neutral room (temperature of 18°C and relative humidity 40–50%) in a sitting position. Each recovery session lasted 6min, during which the participants remained in a cold paddling pool (water temperature: 10–11°C) for 1min (body immersion up to the neck). The entire experiment lasted 26min (20min of heating +6min of cooling) for each session. Air temperature and humidity inside the sauna cabin and the neutral room, and water temperature in the paddling pool were measured with a Voltcraft BL-20 TRH+FM-200 hygrometer (Voltcraft Engineers Private Limited, Varanasi, India) and confirmed with a Stalgast 620,711 laser thermometer (Stalgast sp. z o.o., Radom, Poland).
Since the temperature in the sauna was high, during each sauna session, physiological parameters, including HR (minimum, average, peak), energy expenditure (kcal), and physical effort (based on a range of HR measurements), were assessed indirectly with heart rate monitors (Polar V800, Polar Electro, Kempele, Finland) that are widely used in studies of the type (47–49). Heart rate monitors were placed on the participants’ wrists, and HR sensors were attached to their chests. Before sauna bathing, each HR monitor was programmed for female sex, year of birth, body mass, and body height. During the first (80°C) and the second session (120°C), heart rate monitors were placed on the left wrist and were covered with the right hand to prevent burns. Body temperature cannot exceed 40°C (or can exceed 40°C insignificantly) to avoid hyperthermia. To prevent burns and overheating of heart monitors, sauna users were asked to place the other hand on top of the monitor. Based on HR values, the intensity of physical effort (low to high) was calculated in the Polar Flor application to determine the duration of each effort range during the sauna session. Physiological parameters (blood pressure, RH, and temperature) were also measured before sauna entry and immediately after the 20min session during the 6min cooling period. Blood pressure (SBP and DBP) and HR were measured with an automatic digital blood pressure monitor (Omron M6 Comfort, Tokyo, Japan), and forehead temperature was measured with the Buerer FT90 clinical contactless thermometer (Buerer Medical GmbH, Söflinger, Germany).
2.4.4. Wellbeing assessment
The Profile of Mood States (POMS) questionnaire was used to evaluate the participants’ wellbeing. The questionnaire measures six different mood states, namely tension, depression, anger, fatigue, confusion, and vigor, and it contains 65 adjectives referring to those mood states. The “tension” subscale describes perceived muscle tension and generalized discomfort. The “depression” subscale describes the feelings of sadness, inadequacy, and worthlessness. “Anger” is characterized by irritability and hostility toward others. “Vigor” denotes emotional action readiness and invigoration. “Fatigue” is described as a feeling of exhaustion and a lack of energy. “Confusion” is defined as a confused state of mind and a feeling of ineffectiveness. The intensity of the mood states experienced at a given moment is evaluated on a five-point scale: 0 – definitely not, 1 – rather not, 2 – hard to say, 3 – rather yes, 4 – definitely yes. The POMS questionnaire has an overall detection rate of 80%, sensitivity of 55%, and specificity of 84% (50), and it is a valid and reliable tool for measuring negative emotional states such as psychological distress, and positive feelings such as vigor (51), including in conjunction with PA (45, 52).
2.4.5. Assessment of heat illness symptoms
The term heat illness (HI) refers to incapacitating conditions that are directly associated with a rise in body temperature, and it can include heat stroke (HS), as well as milder disorders such as heat exhaustion (HE), heat syncope, heat cramps, and heat rash (53).
The health risks associated with exposure to high temperature were evaluated by analyzing which symptoms characteristic of HE and HS occurred during both sauna sessions (54). An anonymous questionnaire survey was conducted to obtain the relevant information from the participants. All symptoms typical of HE and SE were listed in the questionnaire:
HE: Heavy sweating; cold, pale, and clammy skin; fast weak HR; nausea or vomiting; muscle cramps; tiredness or weakness; dizziness; headache; fainting (syncope).
HS: High body temperature (103°F or higher); hot, red, dry, or damp skin; fast strong HR; headache; dizziness; nausea; confusion; loss of consciousness (syncope). Participants who had experienced a given symptom placed an “x” in the corresponding column. Heart rate was measured with Suunto Ambit3 Peak Sapphire HR monitors (described in the Physiological parameters subsection).
2.5. Statistical analysis
Basic descriptive statistics (mean, SD, and variation) were calculated for each parameter, and the data were checked for the normality of distribution (Shapiro–Wilk test and the asymmetry coefficient). All analyzed parameters were normally distributed, and the Student’s t-test for dependent samples was used to estimate the significance of differences between the mean values of the tested parameters before and after sauna. In addition, Cohen’s d was used to assess the effect size of these differences. Cohen’s d was interpreted as follows: trivial (<0.2), small (0.21–0.6), moderate (0.61–1.2), large (1.21–1.99), and very large (>2.0) differences. The calculations were performed at a significance level of α=0.05, in the Statistica ver. 13 program. The values determined in three women who had fainted during a 20min sauna session with a temperature of 120°C and had to leave the sauna room before the end of the session (after 18:37 to 19:01min from the beginning of the session) were also considered in the statistical analysis because the time remaining until the end of the 20min session had no significant impact on the obtained HR values.
The presence of significant correlations between HE and HS variables and syncope during the second sauna session was determined with the use of classification and regression trees (CRT) and the cross-validation technique. A model was developed only for the temperature of 120°C because syncope had not occurred during the first sauna session with the temperature of 80°C. The developed model involved 11 independent variables. Nausea, heavy sweating, fast weak pulse, high body temperature, and confusion induced the greatest differences in the reported outcomes (all of these parameters received a score of 2 points in the survey). The tree analysis revealed that the model had high predictive strength (95.5%) with a specificity of 100% and sensitivity of 66.7% ().
Table 2
Quality analysis of the classification and regression tree.
| Quality measurement | Value |
|---|
| Accuracy | 95.5% |
| Sensitivity | 66.7% |
| Specificity | 100% |
3. Results
3.2. Analysis II – changes in physiological parameters
Changes in physiological parameters (SBP, DBP, HR, forehead temperature) induced by thermal stress in the sauna are presented in . The mean values of SBP and DBP decreased significantly during 20min sauna sessions with a temperature of 80°C (p<0.001 and p=0.015, respectively) and 120°C (excluding SBP, p<0.001). No significant differences in the values of BP (SBP and DBP), forehead temperature, or body mass were noted directly before and after the first (80°C) and second (120°C) sauna session.
Table 3
Descriptive statistics of the parameters evaluated before and after sauna with a temperature of 80°C and 120°C.
| Parameter | Temperature [oC] | Before sauna | After sauna | Differences |
|---|
| Mean | SD | Min–Max | Mean | SD | Min–Max |
t
|
p
| Cohen’s d |
|---|
| SBP [mmHg] | 80 | 110.45 | 9.11 | 95–127 | 104.77 | 8.80 | 82–120 | −4.87 | <0.001 | 0.64 |
| 120 | 108.41 | 7.40 | 95–123 | 107.41 | 7.87 | 93–122 | −0.53 | ns | 0.13 |
| ns | | | ns | | | | | |
| DBP [mmHg] | 80 | 72.00 | 6.65 | 59–91 | 69.05 | 6.83 | 52–80 | −2.65 | 0.015 | 0.44 |
| 120 | 72.55 | 4.57 | 61–81 | 67.14 | 7.08 | 51–78 | −3.98 | <0.001 | 0.91 |
| ns | | | ns | | | | | |
| HR [bpm] | 80 | 79.27 | 9.23 | 57–100 | 114.23 | 9.54 | 97–127 | 12.97 | <0.001 | 3.72 |
| 120 | 82.68 | 11.09 | 57–99 | 120.95 | 16.46 | 80–155 | 9.26 | <0.001 | 2.73 |
| ns | | | ns | | | | | |
| Forehead temperature [oC] | 80 | 36.66 | 0.25 | 35.9–37.1 | 37.91 | 0.45 | 37.1–38.7 | 11.01 | <0,001 | 3.43 |
| 120 | 36.84 | 0.42 | 36.0–37.7 | 38.24 | 0.78 | 37.1–40.2 | 7.87 | <0,001 | 2.23 |
| ns | | | ns | | | | | |
| Body mass [kg] | 80 | 59.41 | 8.43 | 48.1–84.8 | 59.27 | 8.44 | 48.1–84.7 | −9.92 | <0.001 | 0.02 |
| 120 | 58.12 | 7.46 | 49.0–84.8 | 57.82 | 7.45 | 48.8–84.4 | −13.16 | <0.001 | 0.04 |
| ns | | | ns | | | | | |
The mean values of HR (min, avg., and peak) and energy expenditure were significantly higher (p<0.001) during a 20min stay in the sauna with a temperature of 120°C than 80°C (). During the first and second sauna session, the participants remained in the moderate effort range for the longest time (532.5s and 354.1s, respectively), and no significant differences were observed between sessions (p>0.05). However, the duration of the low effort range in the first session (421.2s) and the difficult effort range in the second session (354.1s) was also relatively long. In addition, the maximum effort range was exceeded for 19.2s during the second session, whereas no such observations were made during the first session.
Table 4
Comparison of the parameters evaluated during sauna with a temperature of 80°C and 120°C.
| Parameter | 80oC | 120oC | Differences |
|---|
| Mean | SD | Min–Max | Mean | SD | Min-Max |
t
|
p
| Cohen’s d |
|---|
| HR min. | 77.45 | 9.59 | 56–95 | 88.95 | 10.05 | 69–113 | 3.69 | <0.001 | 1.17 |
| HR avg | 102.73 | 11.24 | 70–117 | 120.82 | 9.14 | 104–139 | 5.71 | <0.001 | 1.77 |
| HR peak | 127.73 | 10.98 | 100–145 | 145.45 | 9.05 | 127–162 | 5.57 | <0.001 | 1.82 |
| Energy expenditure | 118.55 | 24.79 | 80–169 | 185.95 | 25.18 | 158–245 | 8.40 | <0.001 | 2.70 |
| Duration of HR effort ranges (physical intensity) [s] |
| Very low, 104 – 114 [bpm] | 120.73 | 154.91 | 0–540 | 18.41 | 46.94 | 0–199 | −2.86 | 0.009 | 0.89 |
| Low, 114 – 133 [bpm]. | 421.23 | 261.84 | 37–937 | 183.86 | 241.48 | 0–735 | −3.13 | 0.005 | 0.84 |
| Moderate, 133 – 152 [bpm] | 532.50 | 259.87 | 83–1148 | 446.32 | 227.32 | 34–924 | −1.31 | ns | 0.35 |
| High, 152 – 172 [bpm] | 112.27 | 111.50 | 0–356 | 354.09 | 221.40 | 8–769 | 4.80 | <0.001 | 1.38 |
| Very high, 172 – 190 [bpm] | 13.27 | 38.78 | 0–172 | 167.18 | 226.11 | 0–653 | 3.05 | 0.006 | 0.95 |
| Maximal > 190 [bpm] | 0.00 | 0.00 | 0–0 | 19.23 | 62.76 | 0–285 | 1.43 | ns | 0.43 |
An analysis of the results presented in indicates that tension, depression, anger, fatigue, and confusion decreased significantly (p<0.001 for all POMS variables), whereas vigor increased after the sauna session with a temperature of 80°C. The effect size was high in all cases. In turn, exposure to a temperature of 120°C induced a significant increase (p<0.001 for all POMS variables) in tension, depression, fatigue, and confusion, and a decrease in vigor. Tension was significantly higher before the second sauna session (120°C, p<0.014), whereas depression and anger were significantly higher before the first sauna session (80°C, p=0.001–0.012) than the second session. Tension, depression, anger, fatigue, and confusion were significantly higher (p<0.001) after the second (120°C) than the first (80°C) session. Vigor was the only exception, and it was higher after the first than the second session (p<0.001) ().
Table 5
Comparison of POMS parameters before and after sauna with a temperature of 80°C and 120°C.
| POMS variables | Temperature [oC] | Before sauna | After sauna | Differences |
|---|
| Mean | SD | Min–Max | Mean | SD | Min–Max |
t
|
p
| Cohen’s d |
|---|
| Tension | 80 | 10.82 | 3.32 | 5–18 | 5.95 | 3.12 | 3–13 | −9.15 | <0.001 | 1.95 |
| 120 | 13.05 | 3.20 | 7–22 | 20.50 | 2.46 | 17–28 | 9.48 | <0.001 | 2.02 |
| p=0.014; d Cohen = 0.68 | p<0.001; d Cohen = 5.18 | | | |
| Depression | 80 | 10.41 | 4.39 | 0–17 | 2.73 | 1.75 | 0–7 | −8.46 | <0.001 | 1.80 |
| 120 | 8.50 | 2.39 | 4–12 | 12.23 | 3.10 | 7–20 | 4.87 | <0.001 | 1.04 |
| p=0.012; d Cohen = 0.54 | p<0.001; d Cohen = 3.77 | | | |
| Anger | 80 | 6.09 | 2.62 | 3–13 | 0.59 | 0.80 | 0–3 | −9.25 | <0.001 | 1.97 |
| 120 | 3.68 | 1.64 | 1–9 | 3.18 | 1.74 | 0–6 | −1.11 | ns | 0.24 |
| p=0.001; d Cohen = 1.10 | p<0.001; d Cohen = 1.91 | | | |
| Fatigue | 80 | 8.64 | 5.41 | 1–18 | 2.41 | 1.40 | 0–6 | −5.40 | <0.001 | 1.15 |
| 120 | 7.86 | 2.68 | 3–13 | 13.27 | 2.69 | 8–18 | 6.45 | <0.001 | 1.37 |
| ns | | | p<0.001; d Cohen = 5.06 | | | |
| Confusion | 80 | 4.23 | 2.35 | 1–8 | 1.86 | 1.32 | 0–5 | −5.21 | <0.001 | 1.11 |
| 120 | 4.05 | 1.65 | 0–7 | 13.50 | 2.56 | 10–18 | 15.52 | <0.001 | 3.31 |
| ns | | | p<0.001; d Cohen = 5.71 | | | |
| Vigor | 80 | 16.59 | 2.92 | 11–21 | 22.41 | 1.89 | 20–26 | 9.61 | <0.001 | 2.05 |
| 120 | 15.41 | 2.61 | 12–23 | 2.36 | 1.18 | 0–5 | −23.29 | <0.001 | 4.97 |
| ns | | | p<0.001; d Cohen = 12.73 | | | |
The above analysis () revealed that vomiting was the best predictor of syncope. Vomiting occurred directly before syncope in two out of the three women who lost consciousness. The third woman did not vomit, but she reported heavy sweating, fast weak HR, high body temperature, and confusion. All of the above symptoms are important, but non-specific because they also occurred in eight other women who did not lose consciousness. These observations indicate that other, more specific factors that contribute to syncope should be included in the analysis.
Classification and regression tree (CRT) for model 1.
In the second CRT model (), only POMS variables (tension, depression, anger, fatigue, and confusion) were used as predictors of syncope. However, confusion at level 6 was the only significant predictor of syncope that was experienced by 100% of the tested subjects before sauna. The specificity of the CRT was determined at 100%. Confusion at level 7 was reported by only 1 participant before sauna, and it did not lead to syncope. Therefore, confusion at level 6 and higher should be regarded as a contraindication for sauna bathing at a temperature of 120°C.
Classification and regression tree (CRT) for model 2.
4. Discussion
Sauna bathing is an increasingly popular recreational activity around the world, which is why research into safe sauna use has important implications for bathers’ health. The aim of this study was to determine the effect of 20min sauna sessions with a temperature of 80°C and 120°C on the physiological and psychological parameters of young women who were sporadic sauna users. The observed changes in the analyzed parameters were influenced by temperature inside the sauna chamber. Prolonged exposure to very high temperatures can produce adverse side effects that are potentially dangerous to human health. Three out of the 22 women attending a 20min sauna session at a temperature of 120°C lost consciousness and had to leave the sauna chamber before the end of the session (after around 18:30min from the beginning of the session). Shin et al. (55) described a case of a 70-year-old woman who slept for 30min during a sauna session. Her right medial thigh was covered with a fully wet towel. The patient sustained a second-degree burn with multiple bullas in the right medial thigh region. A physical examination revealed erythema, heating sensation, and swelling around the bullas. These observations indicate that sauna should be used with caution and that all bathers should strictly adhere to sauna safety rules.
4.1. Changes in physiological parameters
An analysis of changes in BP values revealed a significant decrease in SBP after the first sauna session (80°C) and a significant decrease in DBP after both sauna sessions (80°C and 120°C). A significant decrease in SBP and DBP was also observed in women subjected to repeated alternative thermal stress during four sauna sessions (temperature: 90–91°C, humidity: 14–16%) of 12min each, interspersed with four recovery sessions of 6min each during which the participants remained in cold water (9–10°C) (22). In turn, a 30min sauna session (temperature: 73°C, humidity: 10–12%) involving a 2min shower break led to a decrease in SBP (from 135.8 to 128.9mmHg) and DBP (from 79.6 to 72.5mmHg) in women with at least one cardiovascular risk factor (30).
After both sauna sessions, HR values increased significantly and remained within the low effort range. However, the HR values registered after the second sauna session (120°C) were higher by 6.7bpm. In another study, the HR values of middle-aged women (52years) increased from 65 to 75bpm. However, it should be noted that the mean and maximal values of HR tend to decrease with age (56), which is why various formulas are used to estimate HRmax [e.g., HRmax=220 – age (57), or HRmax=205−0.5 • age (58)] and select exercise intensity that is appropriate for the subject’s age and physiological capacity (59). Despite individual differences, the procedure of calculating maximal HR values can be also useful for determining the optimal temperature during sauna. High temperature and prolonged sauna bathing can exert a significant load on the cardiovascular system in both seniors (60) and athletes. As a result, instead of promoting relaxation and delivering health benefits, sauna can exacerbate fatigue (4). According to specialists, for persons with cardiovascular problems (such as chronic congestive heart failure), the temperature inside the sauna chamber should be lowered to even 60°C, and each session should be followed by a recovery period (up to 30min) with oral hydration (61–63). In most cases, the optimal temperature in a Finnish sauna ranges from 80°C to 90°C at face level (4, 20). A steam sauna is yet another type of sauna treatment with a temperature of only 45–50°C, but nearly 100% relative humidity (64). Infrared sauna, which does not involve steam and is characterized by low air temperature (40–65°C), has become popular in recent years, in particular in the clinical setting (3). Therefore, the temperature applied in the Finnish sauna (120°C) in the present study should be regarded as extremely high, especially since the participants were sporadic sauna users. Equally high or even higher temperatures are sometimes applied in sauna practice (64). A study of well-trained male cyclists who regularly used the sauna revealed that exposure to extreme heat stress in a sauna can induce changes in HR and cardiac autonomic modulations (65). In irregular sauna users, a HR increase to around 120bpm is a desirable adaptive response, whereas HR above 140bpm can be unfavorable because it is accompanied by a rise in cardiac work and shortening of the diastole (64, 66). Cardiovascular responses to high-temperature (80°C) sauna baths include tachycardia, systolic hypertension, and increased cardiac workload, which are mediated by peripheral vasodilatation and stimulation of the sympathetic nervous system (63).
An analysis of the duration of each HR effort range revealed that the cardiovascular responses of the studied women were more dynamic during the second session (120°C) and even reached the maximal effort range (>190bpm for approx. 20s). Similar observations were made by Ketelhuts (67) who examined 19 healthy volunteers (36.8% women) before and after a 25min sauna session (temperature: 93°C, humidity: 13–20%). The cited authors reported a continuous increase in BP and HR during the sauna session, followed by a sustained decrease in the values of the remaining parameters after heat exposure, which suggests that sauna bathing has a beneficial effect on the cardiovascular system. Furthermore, the results indicate that acute heat exposure in the sauna exerts a burden that is comparable to moderate physical exercise.
Exposure to 80°C and 120°C led to a significant increase in forehead temperature which approximated the values reported in 52-year-old women (38°C) directly after the second 15min sauna session (temperature: 73°C, humidity: 10–12%) (17). During a sauna bath, the body absorbs more heat from the surrounding environment than it can release and, in consequence, skin temperature and body temperature may reach 37.6–40°C (22, 64, 68).
After each sauna session (80°C and 120°C), a significant decrease (0.14kg and 0.3kg, respectively) was observed in the participants’ body mass. This result indicates that sweating intensified at higher temperature to maintain a stable body temperature. Research conducted on female university students demonstrated that the duration and temperature of sauna treatment influence sweating. Repeated alternative thermal stress (temperature: 90–91°C, humidity: 14–16%) decreased body mass by 0.3kg on average (22). In a study of 326 female university students, two dry sauna sessions (temperature: 90°C, humidity: 35%) of 10min each with a 5min break involving a 30s cooling period in a paddling pool (water temperature: 10°C) decreased body mass by 0.5kg (69). In young women, sweating increased with a rise in temperature and humidity or prolonged stay in the sauna (70), and it was also affected by the duration of the break and the temperature of cooling water (16, 22). A study performed on male subjects also revealed that body mass loss (mainly the loss of bodily fluids) can be exacerbated by excessive body fat (48, 49), as well as PA level and frequency of sauna use (45). These observations have important practical implications, especially for individuals who take long sauna baths and regard sauna as an effective therapy for burning fat tissue (22). However, sauna-induced weight loss stirs considerable controversy. Prolonged and intensive body cooling in cold water slows down the metabolism and, consequently, enables users to significantly extend their stay in the sauna. Finnish sauna treatments should involve cooling-off periods and rehydration with oral fluids during and/or after each session to increase the effectiveness of rehydration and body cooling (71). Cold water and ice slurry drinks are body-cooling methods that can be easily administered to sauna users and individuals who exercise in heat. Cold fluid ingestion stimulates thermoreceptors in the abdomen that appear to reduce sweat production independently of core and skin temperature. Therefore, cold fluid ingestion during sauna can improve the users’ thermal comfort and perceptual responses, and it can induce transient changes in sweating (72). A study of athletes demonstrated that drinking cold water can considerably modulate and delay an increase in the core body temperature of euhydrated subjects who exercise in a moderate climate (73).
4.2. Changes in psychological parameters
Most wellbeing components, including tension, depression, anger, fatigue, and confusion decreased significantly, whereas vigor increased after a 20min sauna session with a temperature of 80°C. A sauna session with a temperature of 120°C induced the opposite effects: tension, depression, and fatigue increased significantly, whereas vigor decreased. These results suggest that the wellbeing of women who sporadically use the sauna improves under exposure to a temperature of 80°C, but deteriorates under exposure to a temperature of 120°C. A study conducted on 550 female university students demonstrated that a 20min sauna session (temperature: 90°C, humidity: 14–16%) exerted a positive influence on their mental wellbeing (34). In turn, Kanji et al. (35) found that regular sauna bathing (three 20min sessions per week, no temperature or humidity data) is a simple, self-directed treatment that effectively reduces the severity of chronic tension-type headache. Similar results were reported by Masuda et al. (74) who observed that multidisciplinary treatment combined with repeated far-infrared ray dry sauna therapy (temperature: 60°C, duration: 15min) could be a promising method for chronic pain management.
According to the Global Sauna Survey, sauna bathers, particularly those from Finland, Australia, and the United States, visited sauna mainly for relaxation and stress reduction and reported health benefits, especially improved mental wellbeing and sleep, with relatively few adverse effects. Interestingly, unlike in the present study, the evaluated subjects used the sauna 4–12 times each month (75). Most respondents used traditional Finnish-style saunas within a temperature range of 60–90°C, which was much lower than the temperature of the second sauna session in the present study. In the present study, syncope occurred in women who experienced confusion at level 6 on a 7-point scale. In two cases, vomiting directly preceded loss of consciousness. This information has practical implications for therapists and persons conducting physical activity programs that involve sauna. Therapists should pay special attention to symptoms characteristic of heat illness, including those that did not occur in this experiment, because responses to thermal stress can vary across individuals, as confirmed by the current study.
4.3. Adaptation to thermal stress
The present study makes a reference to research examining the optimal temperature during thermotherapy (76–79). The hypothalamus plays a key role in autonomic thermoregulation in humans (80). Individuals with heat intolerance experience a more rapid and more pronounced increase in body temperature and higher physiological strain than heat-tolerant individuals. Heat acclimation is achieved through the thermoregulation mechanism. Heat acclimation implies that an organism is able to reach and maintain a thermal equilibrium at high temperatures (81). For this effect to be achieved, sauna has to be used regularly, whereas the women examined in this experiment were sporadic sauna users. For example, it was found that repeated heat exposure over a period of 4days to 2weeks induced cardiovascular and thermoregulatory adaptations in domestic animals, thus decreasing physiological strain and increasing heat tolerance (82). Mee et al. (83) reported that sauna exposure immediately prior to controlled hyperthermia and heat acclimation reduced thermoregulatory, cardiovascular, and perceptual strain when running a heat tolerance test. Classic physiological adaptations after heat acclimation include an increase in sweat loss and a decrease in core temperature, skin temperature, and HR (84). In the current study, thermoregulatory sweating was less profuse, probably because the examined women were sporadic sauna users. This observation could explain why the registered physiological parameters (HR and BP), unlike psychological parameters, were more ambiguous markers of hyperthermia at a temperature of 120°C.
The findings from prospective studies suggest that women are at increased risk of heat intolerance. Physical factors such as the BMI, BSA, and PBF considerably affect body temperature responses to heat, equally in both sexes (85). However, in females, cyclic variation in estrogen and progesterone levels is associated with thermoregulatory changes: the core body temperature increases, and there is a rightward shift in the temperature threshold for the onset of vasodilation in the luteal phase, which is also observed in women who take many hormonal contraceptives (86).
4.4. Strengths and limitations
The main strength of the study is that it is the only research to have examined sauna bathing at extremely high temperatures to date. The relatively small, but carefully selected sample of young women is a possible limitation of the study. In the future, the results should be validated on a larger sample of both female and male participants to determine gender-related differences in adaptation to thermal stress.
5. Conclusion
The study demonstrated that 20min sauna sessions at a temperature of 80°C and 120°C induced significant changes in the bathers’ physiological and psychological characteristics. Both temperatures led to a significant decrease in SBP (excluding at 120°C), DBP, and body mass, and a significant increase in HR and forehead temperature. A 20min sauna session at a temperature of 80°C increased vigor and decreased tension, depression, anger, fatigue, and confusion. A sauna session at a temperature of 120°C exerted the opposite effects by inducing negative changes in the participants’ mental wellbeing. A temperature of 120°C in a Finnish sauna can induce symptoms characteristic of heat exhaustion and heat stress, including syncope, nausea, heavy sweating, fast weak pulse, high body temperature, and confusion. Confusion and vomiting were the main predictors of syncope in three women. Therefore, sauna bathing at a temperature of 80°C is recommended for young women who are sporadic sauna users, whereas 120°C is excessive and could lead to syncope. Syncope could be followed by loss of consciousness (87) with potentially serious health complications or even death. The present findings provide highly valuable inputs for managing wellness and SPA centers.
Data availability statement
The datasets presented in this article are not readily available because the access to Excel data has been restricted by the Ethics Committee of the UWM in Olsztyn to protect the participants’ privacy. Researchers who meet the criteria for access to confidential data can submit a data request by email. Requests to access the datasets should be directed to moc.liamg@treborikswatsdop.
Ethics statement
The studies involving humans were approved by Ethics Committee of the University of Warmia and Mazury in Olsztyn. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
Author contributions
RP: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Writing – original draft, Writing – review & editing. KB: Formal analysis, Software, Supervision, Validation, Writing – review & editing. NJ: Formal analysis, Software, Supervision, Validation, Writing – original draft. JS: Data curation, Funding acquisition, Writing – original draft. BH: Data curation, Writing – original draft. EB: Formal analysis, Writing – review & editing. AP: Data curation, Writing – original draft.
Acknowledgments
The authors would like to thank all women who volunteered for the study.
Funding Statement
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The research was funded by the University of Warmia and Mazury in Olsztyn.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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