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To investigate the influence of anthropometric variables on race performance in ultra‐endurance triathletes in an ultra‐triathlon.
Descriptive field study.
The “World Challenge Deca Iron Triathlon 2006” in Monterrey, Mexico, in which everyday for 10 consecutive days athletes had to perform the distance of one Ironman triathlon of 3.8 km swimming, 180 km cycling and 42.195 km running.
Eight male ultra‐endurance athletes (mean (SD) age 40.6 (10.7) years, weight 76.4 (8.4) kg, height 175 (4) cm and body mass index (BMI) 24.7 (2.2) kg/m2).
Direct measurement of body mass, height, leg length, skinfold thicknesses, limb circumference and calculation of BMI, skeletal muscle mass (SM), percentage SM (%SM) and percentage body fat (%BF) in order to correlate measured and calculated anthropometric variables with race performance.
Race time was not significantly (p>0.05) influenced by the directly measured variables, height, leg length, body mass, average skinfold thicknesses, or circumference of thigh, calf or upper arm. Furthermore, no significant (p>0.05) correlation was observed between race time and the calculated variables, BMI, %SM and %BF.
In a multistage ultra‐triathlon over 10 Ironman triathlon distances in 10 consecutive days, there was no effect of body mass, height, leg length, skinfold thicknesses, limb circumference, BMI, %SM or %BF on race performance in the only eight finishers.
In endurance racing, there are many factors that influence performance. Apart from several physiological variables, a variety of anthropometric variables have been shown to have an effect on endurance performance: body mass,1,2 body mass index (BMI),3 body fat,3 length of the upper leg,4 length of limbs,5 height,1,6 thigh girth,4 total skinfolds1 and skinfold thickness of the lower limb.7,8
In a review, Berg9 attempted to enhance our knowledge of the effects of anthropometry on running performance. Anthropometric properties and their effect on exercise performance have previously been investigated during short and middle distance running and marathons,7,8 but data for ultra‐distance running are lacking. In this investigation, anthropometric data of the only eight male finishers of the “World Challenge Deca Iron Triathlon 2006” in Mexico were analysed with respect to their influence on race time. We expected that a low BMI would have an effect on race performance. We also assumed that a high percentage of body fat would impair race performance.
The organiser of the “World Challenge Deca Iron Triathlon 2006” contacted all participants by separate newsletter 3 months before the race to ask them to participate in our investigation. Fourteen male and three female caucasian ultra‐triathletes started the race; eight male athletes (mean (SD) age 40.6 (10.7) years, weight 76.4 (8.4) kg, height 1.75 (0.04) m, BMI 24.7 (2.2) kg/m2) and one female athlete (33 years, 56 kg, 1.70 m, 19.4 kg/m2) finished the race within the time limit. Of the six unsuccessful male athletes, one had to give up because of technical problems with his bike, one was disqualified because of drafting during cycling, one had problems with his buttocks during cycling and was unable to continue the race, two were out beyond the limit after day 2, and one was beyond the time limit after day 3. Only the eight male athletes who successfully finished were included in the study. They all gave their informed written consent. Mean (SD) training for the race was 24 (11) h a week (range 10–45). They had a mean experience of 18 (range 1–52) extreme endurance races of 24 h and longer before the start of this race.
The World Challenge Deca Iron Triathlon 2006 was held in November 2006 as a world premiere in ultra‐triathlon. The race took place in the city of Monterrey in the Province of Nuevo León in northern Mexico, about 230 km south of the border with the USA. Monterrey is the capital of Nuevo León; it is 540 m above sea level and has more than one million inhabitants. In November, the temperature in Monterrey varies between 16 and 28°C, but it can drop from one day to another down to 10°C and increase to 36°C and higher. Usually there is no rain and only a little wind. The race started on 6 November 2006. Seventeen experienced and well‐prepared ultra‐endurance athletes (14 male, three female) from 10 different countries and three continents qualified to enter the race. Everyday they had to perform the distance of one Ironman triathlon of 3.8 km swimming, 180 km cycling and 42.195 km running. Every morning at 09:00, the event started with the swim in the 50 m outdoor pool in the park of Sociedad Cuauhtemoc & Famosa in Monterrey, 3 km away from the cycling and running track in the Parque Niños Héroes. The water temperature in the Olympic pool was 17–21°C. Laps of 100 m were counted by personal lap counters for each athlete.
After completing the swim, athletes were transferred by car to the Parque Niños Héroes. A period of 30 min was allowed for the transfer from the pool to the competition site and the time was deducted from the final race time. The park was closed to traffic, completely illuminated, and had a cycling track that was 95% flat, but included an inclination of 5%. The cycling consisted of 94 laps of 1.915 km each. After changing for the running course, athletes first had to run a short lap of 703 m and then 22 laps of 1.886 km. Athletes could be helped by their own support crew. Drafting during cycling was prohibited. Laps in the park were counted electronically with a chip system. Table 11 presents the weather conditions and the highest temperature during the day.
During the whole race, accommodation was offered in the sports village of the park, about 250 m away from the race site. Athletes had a room with bed, toilet and shower. For nutrition, the organiser offered a variety of food in a restaurant which was open 24 h: spaghetti, rice, baked potatoes, meat with tomato sauce, bread, eggs, eggs with ham, eggs with beans, eggs with sausage, hot cakes, pastries, sandwiches, tacos, sausages, soups, hot dogs, hamburgers, chicken, fish, oatmeal, cereals, French toast, salad, vegetables, granola bars, cookies, marmalade, cereals, salt, sugar, butter, honey, bananas, oranges, apples, orange juice, Powerade, Coca Cola, purified water, mineral water, tea, milk, chocolate milk, strawberry milk, banana milk, vanilla cake with strawberry and pineapple, and chocolate cake with coconut cream.
The evening before the start of the race, body mass, leg length, circumference of upper arm, thigh and calf, and skinfold thickness at eight regions were measured. Body mass was measured with commercial scales (Beurer BF 15; Beurer GmbH, Ulm, Germany) to the nearest 0.1 kg. Skinfold thicknesses, leg length and limb circumferences were measured on the right side of the body. Every measurement was taken three times by the same person, and the mean value was used for calculation. Length of the upper leg was measured from the trochanter major to the meniscus lateralis, and the length of the lower leg from the meniscus lateralis to the malleolus lateralis. The largest circumference of the upper arm and calf were measured to the nearest 0.1 cm. The circumference of the thigh was determined 15 cm above the upper pole of the patella. Skinfold thickness at the chest, midaxillary (vertical), triceps, subscapular, abdominal (vertical), suprailiac (at the anterior axillary), thigh and calf was measured with a skinfold calliper (GPM‐Hautfaltenmessgerät; Siber & Hegner, Zurich, Switzerland) to the nearest 0.2 mm. Skeletal muscle mass (SM) was calculated using the following formula:
SM = Ht × (0.00744 × CAG2 + 0.00088 × CTG2 + 0.00441 × CCG2) + 2.4 × sex − 0.048 × age + race +7.8
where Ht = height, CAG = skinfold‐corrected upper arm girth, CTG = skin fold‐corrected thigh girth, CCG = skinfold‐corrected calf girth, sex =1 for male, race =0 for white.10 Percentage SM (%SM) was achieved by dividing SM by body mass and multiplying by 100%. Percentage body fat (%BF) was calculated using the following formula:
%BF = 0.465 + 0.180(Σ7SF) − 0.0002406(Σ7SF)2 + 0.0661(age)
where Σ7SF = sum of skinfold thickness of chest, midaxillary, triceps, subscapular, abdomen, suprailiac and thigh mean.11
Anthropometric variables were correlated with race time. Statistical analysis was performed with the R software package (R Foundation for Statistical Computing, Vienna, Austria, 2005). Forward selection of the predictor variables was used in the multiple regression analysis to identify the performance‐relevant anthropometric variables. As anthropometric properties can be described by several dependent variables, the directly measured predictors (body mass, height, mean skin fold thickness, leg length and circumference of the calf, thigh and upper arm) and the calculated predictors (BMI, %BF and %SM) were separated into two independent models. For all statistical tests, the significance level was set to 0.05.
Table 22 shows the anthropometric data of the finishers before the race. The race time was not significantly (p>0.05) influenced by the directly measured anthropometric properties, height, body mass, mean skinfold thickness or circumference of thigh, calf and upper arm (fig 11)) or leg length (fig 22).). Furthermore, no significant (p>0.05) correlation was observed between race time and the calculated variables, BMI, %BF and %SM (fig 33).
The main finding of this investigation is that none of the anthropometric factors previously found to affect performance, such as body fat,3 thigh girth,4 total skinfolds,1 BMI,3 body mass,1,2 length of the upper leg,4 length of limbs,5 and skinfold thickness of the lower limb,7,8 were confirmed in this group of finishers in the World Challenge Deca Iron Triathlon 2006. In contrast with the effect in these ultra‐triathletes, several anthropometric factors have been found to influence performance in runners. The effect of weight, body mass, skinfold thicknesses and body fat has been described in runners in several studies. We assume that there must be differences between triathletes and runners, or our study group was too small to find statistically significant differences.
The effects of body mass and BMI on performance have been investigated in several studies, usually with runners. A positive effect of BMI on performance has been found in African endurance athletes in particular. African runners are smaller 12,13 and lighter than caucasian runners,12,14 which could not be confirmed in the study of Rahmani et al.15 However, Rahmani et al investigated the effect of body mass on race performance in sprinters. African long distance runners have a lower BMI than caucasian runners. A BMI of 19.2 kg/m2 was found for Kenyan runners compared with 20.6 kg/m2 for the best Scandinavian runners.16 When Senegalese and Italian runners were compared, the African runners had longer and lighter legs.15 It is thought that their lower BMI17 and smaller body size are important in the better performance of the African runners.18 In addition to African runners, a relation between BMI and race performance has also been found in female caucasian marathon runners: marathon race time correlated positively with BMI.3 Obviously, the absolute value of BMI seems to be of importance. The BMI of our ultra‐triathletes is higher than that found for Kenyan runners: 24.7 kg/m2 (table 22)) compared with 18.6 kg/m2 for young Kenyan runners19 and 19.2 kg/m2 for adult Kenyan runners.16 It is of interest that the BMI of the unsuccessful competitors in the race investigated here was 23.5 kg/m2 and therefore lower than that of the finishers. A lower BMI was obviously not advantageous in this race.
It is known from several studies that body fat affects the performance of runners. An excess of subcutaneous adipose tissue means that greater muscular effort and therefore increased energy expenditure is required. It has been shown that physical performance is negatively related to body fat and positively related to skeletal muscle mass.20,21 This was confirmed in a recent study.7 The loss of body fat is specific to selected muscle groups used during training, and race performance is enhanced with decreased skinfold thickness at the lower limb.8 Body fat seems to have a special effect in runners, especially African runners. They have a lower skinfold thickness at the legs and arms14 suggesting a smaller mass of subcutaneous adipose tissue. In other studies, the effect of body fat on race performance is controversial. Whereas Hagan et al3 found a positive correlation between marathon performance time and body fat in female runners, Christensen and Ruhling22 found that %BF did not correlate with finish times.
The effect of skinfold thickness on running performance has been investigated in both older and more recent studies.1,7,8,23,24 Decreased leg skinfold thicknesses have been reported in runners; this may be particularly useful in predicting running performance.8 Legaz and Eston8 found an association between decreased thigh skinfold thickness and improved performance. Furthermore, Bale et al1 found that total skinfolds, among other variables such as type and frequency of training and the number of years of running, were the best predictors of running performance and success over 10000 m. Arrese and Ostariz7 showed a high correlation between the thigh and calf skinfolds and 1500 m as well as 10000 m race times. In earlier studies, this effect was not reported.23,24,25 No differences were found in skinfold values among runners competing in classical distances ranging from 100 m to 10000 m.25 Conley and Krähenbühl23 reported no significant relation between body fat or sum of skinfolds in an elite group of 10000 m runners, and Kenney and Hodgson24 showed similar findings in 3000 m steeplechase runners. There are two major differences in the studies of Bale et al,1 Arrese and Ostariz7 and Legaz and Eston8 from our study. Firstly, in their studies, running performances in events of 10000 m and less were investigated. Our ultra‐triathletes had to run a total distance of 126.6 km after cycling and swimming.
In runners, a variety of anthropometric variables, such as body mass, body mass index, body fat, length of the upper leg, total leg length, height, thigh girth, total skinfolds and skinfold thickness of the leg, have been shown to affect endurance performance.
In the only eight male finishers of the World Challenge Deca Iron 2006 (10 times one Ironman triathlon within 10 consecutive days), body mass, height, mean skinfold thickness, leg length and circumference of the calf, thigh and upper arm, as well as the calculated values body mass index, percentage fat mass and percentage skeletal muscle mass, showed no effect on race performance.
Secondly, the measured leg skinfold thicknesses are thought to be different in runners and ultra‐triathletes. Ultra‐triathletes seem to have thicker skinfolds than shorter‐distance runners. Our ultra‐triathletes had a skinfold thickness of 8.5 (3.4) mm at the thigh and 7.0 (2.9) mm at the calf (table 22)) compared with 9.4 (4.2) mm at the thigh and 4.6 (1.3) mm at the calf in the runners in the study of Legaz and Eston.8 The length of the race seems to be important in the correlation between skinfold thickness and race performance. Arrese and Ostariz7 found that marathon runners had a lower sum of six skinfolds than runners of distances up to 10000 m. They concluded that (a) the training volume of marathon runners is higher and (b) in marathon running, fat metabolism dominates in training and competition. Interestingly, our ultra‐athletes had a higher sum of six skinfolds than the marathon runners of Arrese and Ostariz (51.7 vs 44.4 mm). The value of 51.7 mm for our triathletes is near the value of 51.4 mm found for 1500 m runners by Arrese and Ostariz.7
In triathletes compared with runners, different morphological factors seem to be important. Landers et al5 found that robustness, adiposity, segmental length of limbs, and skeletal muscle mass are important. Also, it is known that body fat has affects race performance in triathletes.2,26 Successful elite triathletes have been described as generally tall, of average‐to‐light weight, with low levels of body fat.26 In an Ironman triathlon, starting body weight is significantly related to total finishing time and also to cycling and running time.2
Other factors have also been discussed for runners. In middle and long distance runners, length of the upper leg and thigh girth are related to performance,4 and in marathon runners different physiological variables can explain the variance in marathon times among elite runners.25 In triathletes, there is no ideal or unique anthropometric profile with respect to performance,27 and training parameters seem to be more important than anthropometric measures in the prediction of performance.1,22,28 In marathon finishers, the most mileage covered per training session is the best predictor of successful completion of a marathon.29 Total training time at low intensities seems to be associated with improved performance in highly intense events,30 but an upper limit in training volume exists, above which there are no further improvements in race performance.31
In this world premiere, only 14 male athletes started and only the eight official finishers could be included in our investigation. This limits the statement that no effect of anthropometric data on race performance was found. In contrast, Arrese and Ostariz7 studied 184 top‐class runners, and Legaz and Eston8 investigated a total of 35 athletes.
To summarise, in a multistage ultra‐triathlon over 10 times an Ironman triathlon within 10 consecutive days, we found no correlation between race performance and body mass, height, skinfold thicknesses, leg length, limb circumference, %SM or %BF in the eight male finishers. It can be assumed that ultra‐triathletes have a different body composition from runners, and therefore cannot be compared with runners, who are more affected by anthropometric factors. Triathletes seem to have greater anthropometric variability than runners, because triathletes have to train for and perform three different disciplines. Studies on the effect of anthropometry on race performance have mainly been on runners of distances from 100 m to 10000 m and marathons. We would welcome more studies on the influence of anthropometry on endurance performance, with a greater number of triathletes over short and long distances; there seems to be enough literature on anthropometric effects on performance in runners, but very little is known on this subject in triathletes.
%BF - percentage body fat
BMI - body mass index
SM - skeletal muscle mass
Competing interests: None.