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Ironman
Events Nutrition and Performance
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By Coach Brendon and Will Hopkins
as published on www.sportsci.org
(please note, these contact details for Will Hopkins and Brendon
Downey are no longer current)
| SPORTSCIENCE |
| Original Research: Nutrition |
| Nutritional
Intake Predicts Performance in an Ironman Triathlon |
|
Brendon M Downey(a)
and Will G Hopkins(b)
(a)Sport
Science Department, Millennium Institute of Sport &
Health, North Shore City, Auckland, New Zealand; (b)Department
of Physiology and School of Physical Education, University
of Otago, Dunedin 9001, New Zealand.
|
| Sportscience
5(1), sportsci.org/jour/0101/bmd.htm, 2001 (1412 words) |
| Reviewed
by Louise M Burke, Department of Sports Nutrition, Australian
Institute of Sport, Belconnen 2616, Australia |
| KEYWORDS:
carbohydrate, diet, sodium, hyponatremia, ultra-endurance |
|
Finish
time for 59 triathletes in an Ironman triathlon correlated
highly with rates of carbohydrate and water intake (r
= -0.65 and -0.51). Triathletes with below average intakes
of carbohydrate and water can therefore expect to achieve
worthwhile reductions in finish time of around 5% from
moderate increases in intake.
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Introduction
Competing in ultra-endurance
events--those lasting more than 2-3 hours--probably puts more
demand on the fluid and energy balance of the body than any
other form of exercise, yet research on the nutritional intake
of athletes during such events has not addressed the question
of relationships between intakes and performance (Peters et
al., 1986; Applegate et al., 1989; Saris, 1990). The aim of
the present study was describe these relationships for one
of the most popular of the ultra-endurance events, the Ironman
triathlon.
Methods
The event consisted
of an inner-harbor ocean swim (3.8 km), a bike ride (180 km)
and a marathon run (42.2 km). Air temperature ranged from
18 to 27°C, humidity was approximately 65%, winds were
light, and the sky was partly cloudy throughout the event.
Two researchers
interviewed as many athletes as possible soon after (<1
h) the athletes crossed the finish line. In this sample of
59 triathletes (age 33 ± 7 y, mean ± SD), self-reported
body mass was 74 ± 7 kg for the 52 males and 56 ±
3 kg for the 7 females. Finish times for these subjects (females,
11.7 ± 0.8 h; males, 10.7 ± 1.1 h) were taken
from the official results obtained from the organizers of
the event.
At check-in time
prior to the race, we had primed athletes for the dietary
recall by showing them examples of the detail of food and
fluid consumed in the hour preceding the event, in the transitions
between phases, and in the first and second half of the cycle
and run phases. Total intakes of energy, carbohydrate, protein,
fat, sodium, and water from all sources were derived by standard
dietary analysis. Our institutional ethics committee approved
all procedures.
We expressed relationships
between finish time and other variables as Pearson correlations.
A multiple linear regression provided estimates of the gain
in time corresponding to combined consumption of extra carbohydrate,
water, and sodium. We also used standardized regression coefficients
of log-transformed variables to estimate the percent change
in performance associated with a moderate change (one standard
deviation) in intake of a particular nutrient.
Results
and Discussion
Food consumed
during the event was mainly that provided at the aid stations
by the race organizers: bananas, oranges, high-carbohydrate
sports bars, and sports drinks containing carbohydrate and
electrolytes. Proportions (%) of macronutrients by energy
were: carbohydrate, 94 ± 7; fat, 3 ± 5; protein,
2 ± 3.
Table 1 summarizes
rates of nutritional intake during the event, and their correlations
with finish time. The highest correlations were observed for
rates of intake of carbohydrate (or energy) and water; at
either end of the likely range the highest of these correlations
represent effects that are moderate to large. For example,
the correlation of finish time with the rate of carbohydrate
intake relative to body mass could be from -0.74 to -0.39,
which represent improvements in performance of between 7.2%
and 3.6% for an increase in carbohydrate intake of 0.40 g·kg-1·h-1
(a change of 1.0 standard deviation). The most likely gain
in performance is about 5%, or about half an hour over 10
hours.
| Table
1: Rates of water, energy, carbohydrate and sodium
intakes of 59 Ironman triathletes during the event, and
correlations of the intakes with finish time. |
| |
Intakea
|
Correlationb
with finish time |
| Carbohydrate
(g·kg-1·h-1) |
0.96
± 0.40 |
-0.59 (-0.74 to -0.39) |
|
Energy (kJ·kg-1·h-1
|
16
± 7 |
-0.56
(-0.71 to -0.35) |
|
Water (ml·kg-1·h-1)
|
12
± 5 |
-0.45 (-0.63 to -0.22) |
|
Sodium (mg·kg-1·h-1)
|
4.0
± 4.8 |
-0.12
(-0.36 to 0.14) |
| aMean
± standard deviation bObserved
value of Pearson correlation between dietary variable
and log-transformed finish time; 95% likely range of true
correlation in parentheses. |
Athletes apparently
need high intakes of carbohydrate and water to perform well
in the Ironman triathlon, for the obvious reason that the
body's stores of these substances are sufficient only for
several hours of high-intensity exercise (Applegate et al.,
1989). However, multiple linear regression showed that there
was only a trivial additive effect of increasing both water
and carbohydrate intake: separately increases in rates of
carbohydrate and water intakes of 0.40 g·kg-1·h-1
and 5 ml·kg-1·h-1 were associated with reductions
in finish time of 6.0% and 4.6% respectively, but together
the reduction was only 6.2%. The obvious interpretation here
is that most athletes link their food and fluid intake; these
two variables were indeed highly correlated (r = 0.68).
The slight beneficial
effect of sodium intake considered on its own became a slight
negative effect in the multiple linear regression. We expected
sodium intake to show a stronger relationship with performance,
even in the multiple linear regression, because a reasonable
proportion of Ironman triathletes become hyponatremic (Speedy
et al., 1999). Evidently the effects of hyponatremia on performance
are not sufficiently marked for sodium intake to have a noticeable
effect, at least not in our study.
The strong negative
correlations between performance time and rates of intake
of water, energy and carbohydrate may arise to some extent
because the rates are calculated by dividing the total intake
by the finish time. On the other hand, using the total intake
as the predictor variable could tend to underestimate the
strength of any negative effect of intake on finish time,
because the slower athletes had more time to consume food
and drink during the event, and so could end up consuming
more in total. The fact that substantial negative correlations
were obtained for total intakes (data not shown) gives reassurance
that there is a true underlying effect of intake on performance.
The observed correlations
are consistent with the results of the many experimental studies
showing enhancement of endurance performance when athletes
supplement with water or sports drinks during exercise (Noakes,
1993). Ours is the first study to show that differences in
intakes between athletes in a real competition account for
substantial differences in performance, but we must be cautious
about recommending an increase in the intake of water and
energy or carbohydrate for all athletes. The average athlete
in our study was already consuming carbohydrate at the maximum
rate that is thought to be absorbable during high-intensity
endurance exercise (about 1 g·min-1) (Hawley et al.,
1992), and although sweat rates of 2-3 L·h-1 are possible
in extreme conditions (Terrados and Maughan, 1995), the average
rate of water intake observed here may have been similar to
the sweat rate for the relatively cool conditions in which
the event was performed. Only those athletes with below average
intakes might therefore expect to enhance their performance
by increasing their intakes. Faster athletes may also have
attained higher intakes because they were more aware of the
need to supplement, but they may not have obtained any benefit
from the extra intake.
In conclusion, Ironman
triathletes who increase their below-average consumption of
food and drinks in an event can expect to enhance performance
by at least a few percent. These findings should apply to
a substantial proportion of athletes in all ultra-endurance
events lasting 8-15 h.
Editor's note (8
Sept 2001): Prof Tim Noakes has asked me to add a note
to emphasize that only randomized controlled trials can establish
clearly the effect of increased food and fluid intake on competitive
performance.
References
Applegate EA, O'Toole ML, Hiller WDB (1989). Race day dietary
intakes during an ultraendurance triathlon. Medicine and Science
in Sports and Exercise 21, S48
Hawley JA, Dennis SC,
Noakes TD (1992). Oxidation of carbohydrate ingested during
prolonged endurance exercise. Sports Medicine 14, 27-42
Noakes TD (1993). Fluid
replacement during exercise. Exercise and Sport Sciences Reviews
21, 297-362
Peters AJ, Dressendorfer RH, Rimar J, Keen CL (1986). Diet
of endurance runners competing in a 20-day road race. Physician
and Sportsmedicine 14, 63-70
Saris WH (1990). The
Tour de France: food intake and energy expenditure during
extreme sustained exercise. Clinical Science, 17-21
Speedy DB, Noakes TD,
Rogers IR, Thompson JMD, Campbell RGD, Kuttner JA, Boswell
DR, Wright S, Hamlin M (1999). Hyponatremia in ultradistance
triathletes. Medicine and Science in Sports and Exercise 31,
809-815
Terrados N, Maughan
RJ (1995). Exercise in the heat - strategies to minimize the
adverse effects on performance. Journal of Sports Sciences
13, S55-S62
Webmastered by Will Hopkins.
Published April 2001.
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