european college of sport science

Thursday, June 25th, 2009
letes. Estimated knowledge level of nutrition and dieatary habits don’t differ between genders. Still, statistically significant positive correlation
between knowledge level of nutrition and quality of dietary habits is estimated among male althletes and all questioned athletes but
not between female athletes. The recommendations are to improve conscionsness about the importance of well balanced diet for athletes,
and to educate them as well as their coaches.
References: American Dietetic Association. (2000) Position of the American Dietetic Association, Dietitians of Canada, and the American
College of Sports Medicine: Nutrition and athletic performance. Journal od the American Dietetic Association. 100, 1543-1556.
Benardot, D., Thompson, W.R. (1999) Energy from food for physical sctivity. Enough and on time. ACSM Health and Fitness Journal. 3, 14-
18.
Manore, M.M., Thompson, J.L. (2000) Sport Nutrition for health and performance. Champaign, III: Human Kinetics.
Stevenson, E.J., Williams, C., Mash, L.E., Phillips, B., Nute, M.L.(2006) Influence of high-carbohydrate mixed meals with different glycemic
indexes on substrate utilization during subsequent exercise in women. Am J Clinical Nutrition. 84, 354-360.
NUTRITIONAL INTERVENTION IN TRACK AND FIELD ATHLETES
SILLERO QUINTANA, M., GARCÍA APARICIO, A., TORRES GARCÍA, A., GARRIDO PASTOR, G.
FACULTAD CIENCIAS DE LA ACTIVIDAD FÍSICA Y DEL DEPORTE - INEF (UPM, MADRID). INSTITUTO DE CIENCIAS DEL DEPORTE (UCJC, MADRID).
Introduction: Optimal nutrition contributes to achieve maximum athletic performance. Track and field events include the development of
different motor skills: race walking, running, jumping, and throwing. The aim of this work is to compare nutritional patterns in athletes
competing in different events, and verify possible changes in dietary practices after intervention.
Methods: Diet composition was analysed in 44 Spanish elite athletes [26 female (F) and 18 male (M)] competing in three different events:
fast events (FE) include jumpers, throwers, and multi-event (n = 12; Age =22.5 ± 4.8; BMI = 22.4 ± 3.9), middle distance (MD) runners (n =
17; Age =24.7 ± 4.0; BMI = 20.0 ± 1.5) and long distance (LD) runners (n = 15; Age =24.9 ± 4.9; BMI = 19.4 ± 1.1), to describe and compare
their usual nutritional patterns. After a preliminary diet evaluation, an individual nutritional report was given and a personal advice program
was performed to all of them focusing on improving their diet quality. To verify possible changes after this intervention, a new diet
composition evaluation was done (160 ± 88 days after) in 27 of them (8 FE, 11 MD and 9 LD).
Diet composition was estimated by retrospective method for a 3 day period (rest, moderate, and intense training days); additionally, they
completed a 24h activity questionnaire to estimate energy requirements (EER) (IOM, 2002) during the same 3 day period.
Results: Comparing data between the three groups (FE, MD and LD): energy intake (EI) and energy distribution (%P, %CH, %L) were similar
despite a tendency to a higher %CH and a lower %L in the LD group (FE = EI: 2653± 950, %P: 19, %CH: 46, %L: 35%; MD = EI: 2668 ± 676,
P: 17%, ,CH: 45%, L: 35%; LD = EI: 2737 ± 518, P: 16%, ,CH: 51%, L: 32%). EER were similar to IE in the three groups. Attending to gender,
absolute values for EI (Kcal/day), P, L and CH (g/day) were significantly lower in females, but these same values, expressed in terms of
body weight, were similar in both genders.
After intervention, the EER was lower (2516 ± 480 vs 2816 ± 461 kcal/d), and so was the EI (p