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Inicio Clinics Risk of Hypothermia in a New Olympic Event: the 10-km Marathon Swim
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Vol. 64. Núm. 4.
Páginas 351-356 (abril 2009)
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428
Vol. 64. Núm. 4.
Páginas 351-356 (abril 2009)
Clinical Sciences
Open Access
Risk of Hypothermia in a New Olympic Event: the 10-km Marathon Swim
Visitas
428
Renata R.T. CastroI,II,
Autor para correspondencia
castrorrt@terra.com.br

Tel.: 55 21 3512.4945
, Fernanda SNS MendesII, Antonio Claudio L. NobregaII
I Ministry of Health, Exercise Physiology Laboratory, National Institute of Traumatology and Orthopedics - Rio de Janeiro/RJ,Brazil
II Fluminense Federal University, Department of Physiology and Pharmacology - Rio de Janeiro/RJ,Brazil
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INTRODUCTION:

There are no available data addressing the potential clinical risks of open-water swimming competitions.

OBJECTIVE:

Address the risks of hypothermia and hypoglycemia during a 10-km open-water swimming competition in order to alert physicians to the potential dangers of this recently-introduced Olympic event.

METHODS:

This was an observational cross-sectional study, conducted during a 10-km open-water event (water temperature 21°C). The highest ranked elite open-water swimmers in Brazil (7 men, 5 women; ages 21±7 years old) were submitted to anthropometrical measurements on the day before competition. All but one athlete took maltodextrine ad libitum during the competition. Core temperature and capillary glycemia data were obtained before and immediately after the race.

RESULTS:

Most athletes (83%) finished the race with mild to moderate hypothermia (core temperature <35°C). The body temperature drop was more pronounced in female athletes (4.2±0.7°C vs. male: 2.7±0.8°C; p=0.040). When data from the athlete who did not take maltodextrine was excluded, capillary glycemia increased among athletes (pre 86.6±8.9 mg/dL; post 105.5±26.9 mg/dL; p=0.014). Time to complete the race was inversely related to pre- competition body temperature in men (r=−0.802; p=0.030), while it was inversely correlated with the change in capillary glycemia in women (r=−0.898; p=0.038).

CONCLUSION:

Hypothermia may occur during open-water swimming events even in elite athletes competing in relatively warm water. Thus, core temperature must be a chief concern of any physician during an open-water swim event. Capillary glycemia may have positive effects on performance. Further studies that include more athletes in a controlled setting are warranted.

KEYWORDS:
Swimming
Athletic performance
Sports
Body temperature changes
Emergency medicine
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INTRODUCTION

Open-water swimming is defined by the International Swimming Federation (Federation Internationale de Natation (FINA)) as any competition that takes place in rivers, lakes or oceans.1 Marathon open-water competitions over 10 km appeared for the first time as an Olympic event in the Beijing Olympic Games of August 2008.

Although open-water swimming is very popular in countries such as Brazil and Australia, little is known about the specific physiological and medical challenges an athlete may undergo during an official competition, and physicians must be prepared to treat potentially unusual medical situations in this competition environment.

There seems to be a common-sense agreement that adequate feeding during an open-water swimming event and the capacity to maintain proper body temperature are the determinants of success in the competition.2 Nevertheless, little is known about health issues related to this swimming event, and the few available studies have focused on the effects of swimming in water with very low temperatures and in courses shorter than the official 10-km distance.3, 4

FINA rules state that the water temperature for official competitions should be higher than 16°C. This temperature should be checked on the day of the race, two hours before the starting time, in the middle of the course at a depth of 40 cm.1

The unavailability of data regarding the emergency risks of a 10-km open-water swimming competition, along with the medical relevance of body hypothermia5 and hypoglycemia, prompted us to investigate the effect of this event on body temperature and capillary glycemia in elite swimmers. The hypothesis tested was that body temperature and glycemia would be related to performance in an open-water swimming competition. The results of this study can help doctors and sports organizers prevent serious health hazards and foster the benefits of exercise training and sports competition.

MATERIALS AND METHODS

This is a case series study describing the effects of an official 10-km open-water swimming competition. The 12 highest-ranked open-water swimmers in Brazil (7 men and 5 women, who have been training for 5±1 years) who participated in the final race of the country’s 10-km Grand Prix – 2006 were invited, and agreed, to participate in the study.

Anthropometric measurements

On the day before the competition, all athletes were submitted to anthropometric measurements. Body weight was assessed in kilograms using a calibrated scale (to the nearest 0.1 kg). Height was measured using a calibrated stadiometer and was recorded in centimeters (to the nearest 0.5 cm). Seven skinfold measurements (triceps, subscapular, mid-axilar, suprailiac, abdominal, thigh and calf) were taken on the right side of each swimmer. A skinfold caliper (Cescorf©, Brazil), with a precision of 0.1 mm was used for the measurements of each skinfold, which contained a double layer of both subcutaneous adipose tissue and skin.6 Skinfolds were measured three times by an experienced investigator. In addition, girths (relaxed arm, forearm, waist, gluteal, thigh, and calf) and breadths (humerus, femur, and wrist) were measured.

The aforementioned measurements were used to calculate several parameters: the sum of seven (described above) and three (triceps, suprailiac and thigh) skinfolds; body fat percentage, as given by the Faulkner equation7 [percent total body fat = (triceps + subscapular + suprailiac + abdominal skinfolds x 0.153) + 5.783]; body surface area, as given by the Dubois & Dubois equation8 [S = 0.007184 x weight0.425 x height0.725]; body volume, calculated by the equation {body volume=(weight/100) x [percent fat/0.9 + 100 - percent fat/1.1] }; and surface/volume ratio.

Body temperature

Core temperature was measured on the tympanic membrane immediately before warm-up and within one minute after the athletes got out of the water, using an infrared tympanic thermometer (Digital thermometer TS-201, TechLine, Brazil). Measurements were taken after each athlete had dried his or her ear with a towel.

Capillary glycemia

Capillary glycemia (Accu-Check Advantage, Roche, USA) was measured in all athletes immediately before warm-up and after competition, within three minutes after coming out of the water. There was no restriction regarding the athletes’ breakfast or carbohydrate supplementation during the competition.

Statistical analysis

Analyses were performed in Statistica version 7.0 (Statsoft) Corporation, OK, USA). The normality of continuous data sets was assessed using the Kolmogorov-Smirnov test. Two-tailed paired t-tests were used to compare pre- and post-event data (data presented as mean ± SD). Differences between the results obtained before and after the competition were represented as deltas. As there were differences between genders (see table 1), bivariate linear correlation coefficients between relevant variables were separately calculated for each gender. Significance was set at p< 0.05, and results are presented as mean ± SD.

Table 1 -.

Anthropometric and competition data of athletes (n=12; mean ± SD)

  Male  Female  P 
Weight (kg)  70.1 ± 8.8  62.6 ± 4.5  0.044 
Height (cm)  176.1 ± 8.3  165.0 ± 6.6  0.014 
Sum of three skinfolds (cm)  28.8 ± 4.8  61.5 ± 11.3  0.001 
Sum of seven skinfolds (cm)  73.9 ± 8.6  137.3 ± 24.7  0.002 
Body fat (%)  10.9 ± 1.1  17.2 ± 2.4  0.001 
Body surface area (m21.9 ± 0.2  1.7 ± 0.1  0.020 
Surface / volume (x103 m2/L)  28.6 ± 1.2  28.6 ± 1.3  0.497 
Time to complete the race (h:min:s)  2:01:27 ± 1:23  2:26:24 ± 8:23  0.001 
Delta temperature (°C)  −2.7 ± 1.8  − 4.2 ± 0.9  0.040 
Delta glycemia (mg/dL)  9.7 ± 15.6  8.6 ± 59.0  0.484 
Ethical considerations

All athletes gave informed consent to participate in the study, which was approved by the local ethics committee and followed the principles of the Declaration of Helsinki.

RESULTS

The water temperature, measured according to FINA rules,1 was 21°C on the day of the study. The weather was cloudy, with some rainy periods during the race, with an ambient air temperature of 20.1°C. All athletes completed the race and were wearing full-body swimsuits, with a latex or rubber swim cap. No other protective clothes were used. Anthropometric and competition data for both genders are presented in Table 1.

Using the American Heart Association definition of hypothermia, most athletes finished the race with mild (34–35°C; n=3) to moderate (30–34°C; n=7) hypothermia, as shown in Figure 1.5 The difference between post-competition and pre-competition temperatures was greater in female than in male athletes (Table 1).

Figure 1 -.

Individual core temperature of male (n=7; left panel) and female (n=5; right panel) athletes before and after a 10-km open-water swimming competition. Outer symbols are mean ± SE. *P< 0.01 vs. pre-competition data in the same group. Dotted line shows the limit for hypothermia

(0.08MB).

All athletes received various loads of maltodextrine during the race, with the exception of one athlete who decided to eat a large breakfast and received no supplement during the race. This athlete’s glycemia was 161 mg/dL before the competition and fell to 75 mg/dL at the end of the race. Capillary glycemia increased as a group when data from this particular athlete was excluded (Figure 2).

Figure 2 -.

Capillary glycemia of each athlete before and after a 10-km open-water swimming competition. The white symbol with dashed line shows the only athlete who did not take maltodextrine during the competition. Outer symbols are mean ± SE for the other 11 athletes. * P=0.015 vs. pre-competition data (n=11)

(0.04MB).

In male athletes, total race time was inversely correlated with pre-competition body temperature (r= −0.802; p= 0.030; Table 2), while in female athletes the total race time was inversely correlated with the change in glycemia (r= −0.898; p= 0.038; Table 3).

Table 2 -.

Bivariate linear correlation between anthropometric and performance data among men (n=7)

  Body fat (%)  Body surface area (m2Pre-competition temperature (°C)  Pre-competition glycemia (mg/dL)  Time to complete the race (s)  Delta glycemia (mg/dL) 
Body fat (%)  —  —  —  —  —  — 
Body surface area (m20.59  —  —  —  —  — 
Pre-competition temperature (°C)  −0.90  0.27  —  —  —  — 
Pre-competition glycemia (mg/dL)  0.16  0.44  0.22  —  —  — 
Time to complete the race (s)  0.33  −0.17  −0.80*  −0.42  —  — 
Delta glycemia (mg/dL)  −0.44  −0.01  0.30  0.34  −0.72  — 
Delta temperature (°C)  0.44  −0.21  −0.44  −0.56  0.25  0.05 
*

P=0.030

Table 3 -.

Bivariate linear correlation between anthropometric and performance data among women (n=5)

  Body fat (%)  Body surface area (m2Pre-competition temperature (°C)  Pre-competition glycemia (mg/dL)  Time to complete the race (s)  Delta glycemia (mg/dL) 
Body fat (%)  —  —  —  —  —  — 
Body surface area (m2−0.47  —  —  —  —  — 
Pre-competition temperature (°C)  −0.16  −0.86  —  —  —  — 
Pre-competition glycemia (mg/dL)  0.40  −0.74  −0.86  —  —  — 
Time to complete the race (s)  −0.11  −0.38  −0.78  0.67  —  — 
Delta glycemia(mg/dL)  −0.20  0.73  0.97*  −0.80  −0.89**   
Delta temperature (°C)  −0.11  0.33  0.38  0.97*  0.23  0.41 
*

P=0.005;

**

P=0.038

DISCUSSION

Previous studies investigating the impact of an official 10 km open-water swimming event on the temperature and glycemia of elite marathon swimmers were not found in the literature. Although the present study was performed during a competition in relatively warm water (21°C), most athletes presented with hypothermia. Hypothermia is a known problem in outdoor sports that are played in cold water. Nuckton et al. studied eleven participants of the Annual New Year’s Day Alcatraz Swim in 1998, which is a three-kilometer swim competition in open-water with a temperature of 11.7°C.4 It seems surprising that only one of the swimmers experienced hypothermia (core temperature < 35°C) in such cold water. Keatinge et al. studied eight Russian athletes who participated in a swim relay of 92 km in water with a temperature below 11°C.3 In this type of competition, each athlete decides the duration of his own participation based on perceived exertion and other sensations that may appear during the race. As the water temperature was very low, the mean duration of the swim was 53 minutes. Three athletes experienced hypothermia, but none of them presented with core temperatures below 34°C, suggesting that most athletes were able to judge when it was necessary to leave the water before their core temperature fell to an unacceptable level. In the present study, athletes were exposed to relatively warm water, but for longer periods (at least two hours) than in the previously quoted competitions. Thus, even when the water is warmer than the minimal temperature determined by FINA, medical staff must be aware of the risk of hypothermia in elite swimmers during 10-km open-water competitions.

Most coaches advise that open-water swimmers should have an increased percentage of body fat compared to competitive pool swimmers, as this would be an advantage that allows for better maintenance of body temperature. One study suggested that thinner swimmers were unable to maintain core temperatures above the hypothermia threshold when swimming for long periods in very cold water.3 However, no differences in the sum of the skinfolds have been found between American elite open-water athletes and elite pool swimmers.2 The athletes in our study have percentages of body fat that are very similar to American open-water swimmers, but there was no relationship between body composition and performance.2 Although most athletes presented with hypothermia in the present report, no one has quit the competition prior to finishing it. The controlling mechanisms involved with body temperature, other than body composition, seem to be a key issue related to exercising in a cold environment. Winter swimmers have thermoregulatory functions that differ from non-cold-adapted subjects.9 This better thermoregulatory function is not related to the percentage of body fat of cold-adapted swimmers, but rather to the modified sensory functions of their hypothalamic thermoregulatory centers that lower heat loss and produce less heat during cold exposure. Also, winter swimmers show an increased capacity of non-shivering heat production.9 In the present study, body fat was not associated with performance. Alternatively, body temperature appears to have played a role in performance, at least among male athletes, as pre-competition temperature was inversely correlated with time to complete the race.

Finally, there is little doubt that ingesting carbohydrates during prolonged exercise delays fatigue.10 In the present study, most athletes maintained, and actually increased, glycemia with carbohydrate supplementation during the race, and hypoglycemia was not an issue. Accordingly, the change in glycemia was inversely related to time to complete the race among women, meaning that larger increases in glycemia were related to better performance, and the athlete who presented a fall in glycemia was last among the group.

Limitations of the study

Most studies that have investigated hypothermia measured rectal temperatures, whereas in the present study core temperature was measured by a tympanic thermometer. Although this makes a direct comparison of absolute values difficult, this technique, which has been previously validated,11 can be applied as soon as the athlete finishes the competition and requires no privacy for the measurements to be performed. We should emphasize that this study took place on the beach, and any other technique to measure core temperature would have been impossible to perform. A potential interference in accurate body temperature analysis is that it was measured before the warm-up and thus may not represent the athletes’ temperature at the start of the race, since the core temperature could have increased post-warm-up to different degrees according to the type, duration and intensity of the warm-up performed. However, it is unlikely that this potential difference would influence the results since warm-up profiles tend to be quite similar among athletes. In addition, athletes completed the warm-up period right before the starting signal, preventing us from measuring body temperature after warm-up.

A recent study12 found differences between oral and tympanic temperature measurements taken five minutes after an open-water swimming competition. A more detailed study13 found that tympanic thermometers underestimate core temperature by about 1°C. This information does not invalidate the results of the present study, since such a systematic error would not influence delta temperature results. Additionally, even after adding 1°C to the measured temperature of each athlete at the end of the race, seven subjects would still present as hypothermic (core temperature below 35°C).

Although we studied the 12 highest-ranked Brazilian open-water swimmers during an official race, the small sample size may have influenced the results, mainly due to the lack of correlations between measured variables and performance. Another issue is the lack of control of fluid and calorie intake during the competition, since interfering with an athlete’s habits during an official competition would be unreasonable.

CONCLUSION

Hypothermia is a common phenomenon even in elite swimmers competing in relatively warm water temperatures. Therefore, hypothermia could be an important medical concern in open-water swimming events, and measurement of core temperature may be a key concern to physicians during an open-water swim event. Further studies, including a greater number of swimmers in a controlled setting, should be aimed at elucidating the health impacts of this new Olympic event on participating athletes.

Acknowledgments

The authors would like to thank the Brazilian Swimming Confederation for its full support of this study.

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