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08:30 - 10:00<br />

Invited symposia<br />

IS-PH04 The Physiology <strong>of</strong> East and North African Runners (EFSMA Exchange Symposium)<br />

IS-PH04 The Physiology <strong>of</strong> East and North African Runners (EFSMA Exchange Symposium)<br />

AFRICAN RUNNERS: NATURE OR NURTURE?<br />

DICKHUTH, H.<br />

UNIVERSITY HOSPITAL FREIBURG<br />

In 1985, 50% <strong>of</strong> the best runners came from Europe, 21% from Africa and about 15% from North-America. 25 years later the situation had<br />

changed completely.<br />

We see a dramatic change in the countries <strong>of</strong> origin from which the best middle- and long-distance runners have come. Today 69% <strong>of</strong><br />

the best runners come from Africa and 47% <strong>of</strong> these from Kenya.<br />

The East-African countries <strong>of</strong> Ethiopia and Eritrea, as well as Morocco, are also represented in middle distance running. It is noteworthy,<br />

that in these countries we find no excellent sprinters.<br />

On the other hand it is interesting that in 2008, the top sprinters essentially had their genetic roots in West-Africa, including those sprinters<br />

from the Caribbean and the USA. It is interesting, that it is not possible to find excellent middle- and long-distance runners in those<br />

countries.<br />

Most <strong>of</strong> the <strong>sport</strong>s medicine scientists believe that the differences in endurance and sprint performance have a genetic background. The<br />

genetic type and the phenotype <strong>of</strong> East-Africans differ considerably from those <strong>of</strong> West-Africans. An explanation for this could be a selective<br />

pressure caused by the dryness and high altitude conditions in North- and East-Africa. That would fit with the fact that the genetic<br />

exchange between East- and West-Africa was prevented by the East-African rift and by the desert (Sahara).<br />

In conclusion, a small genetic shift might be a small genetic shift (pressure) which is responsible for the different phenotype observed <strong>of</strong><br />

West-Africa and East-Africa.<br />

But what are the physiological differences which allow East-African, especially Kenyan runners, to be top runners world-wide?<br />

Literature:<br />

Billat V, Lepretre PM, Heugas AM, Laurence MH, Salim D, Koralsztein JP: Training and bioenergetic characteristics in elite male and female<br />

Kenyan runners. Med Sci Sports Exerc. 2003 Feb;35(2):297-304;<br />

Larsen HB:Kenyan dominance in distance running. Comp Biochem Physiol A Mol Integr Physiol. 2003 Sep;136(1):161-70. Review.<br />

Scott RA, Pitsiladis YP Genotypes and distance running : clues from Africa. Sports Med. 2007;37 (4-5):424-7.<br />

Scott RA, Fuku N, Onywera VO, Boit M, Wilson RH, Tanaka M, H Goodwin W, Pitsiladis YP. Mitochondrial haplogroups associated with elite<br />

Kenyan athlete status. Med Sci Sports Exerc. 2009 Jan; 41(1):123-8<br />

PHYSIOLOGICAL APPROACH OF KENYAN TRAINING<br />

BILLAT, V.<br />

UNIVERSITE D`EVRY VAL D`ESSONNE<br />

Introduction: The purpose <strong>of</strong> this study was to test the hypothesis that there was no significant difference between the aerobic and anaerobic<br />

component <strong>of</strong> performance with the critical speed model and that training is responsible for two different physiological phenotypes<br />

in two groups <strong>of</strong> Kenyan runners belonging to the same ethnic group and village (Kissi).<br />

Methods: In order to compare the aerobic and anaerobic component <strong>of</strong> the Kenyan vs. non Kenyan best performers (from 800 to<br />

10,000m) we compared their critical velocity and anaerobic distance capacity using the critical power model with 2 components (1). VO2<br />

was measured breath by breath using a portable gas analyser (K4b2, Cosmed) during an incremental exhaustive running test performed<br />

on a running track.<br />

The subjects were 20 elite Kenyan runners: 13 men (10-km performance time: 10-km performance time <strong>of</strong> 28 min, 36 s ±18 s) and 7<br />

women (32 min, 32 s ±65 s). The male runners were separated into high-speed training runners (HST: N = 6) and low-speed training<br />

runners (LST: N =7) depending on whether they train at speeds equal or higher than those associated with the maximal oxygen uptake<br />

(vVO2max). All but one woman were high-speed training runners (female HST: N =6). Subjects performed an incremental test on a 400-m<br />

track to determine VO2max, vVO2max, and the velocity at the lactate threshold (vLT).<br />

Results: There was no significant difference <strong>of</strong> critical speed or anaerobic distance capacity between Kenyan or non Kenyan runners<br />

(21.3±0.6 vs. 22.1±0.6 km.h-1, p = 0.07) for CV and (213±68 vs. 185±69 m, p = 0.45) for ADC. Within each gender among the HST group,<br />

10-km performance time was inversely correlated with vVO2max (rho =0.86, P =0.05, and rho =0.95, P =0.03, for men and women,<br />

respectively). HST male runners had a higher VO2max, a lower (but not significantly) fraction <strong>of</strong> vVO2max (FvVO2max) at the lactate<br />

threshold, and a higher energy cost <strong>of</strong> running (ECR). Among men, the weekly training distance at vVO2max explained 59% <strong>of</strong> the variance<br />

<strong>of</strong> vVO2max, and vVO2max explained 52% <strong>of</strong> the variance <strong>of</strong> 10-km performance time. Kenyan women had a high VO2max and<br />

FVO2max at vLT that was lower than their male HST counterparts. ECR was not significantly different between genders.<br />

Conclusion<br />

The critical speed, vVO2max and ADC <strong>of</strong> the Kenyan or non Kenyan top 20 best performer middle and long distance runners were not<br />

significantly different. However, ADC is only an indirect marker <strong>of</strong> anaerobic capacity which must be explored with oxygen deficit. Caucasian<br />

non Kenyan runners have a non significant higher vVO2max extrapolated from 3000m performance considering the time limit at<br />

VO2max reported in literature (7 min). Kenyan have polarized training even inside one training session and practice skills that could<br />

contribute positively to this ability for speed variation that allows for energetic optimisation (1).<br />

References<br />

1°) Billat LV, Koralsztein JP, Morton RH. Time in human endurance models. From empirical models to physiological models. Sports Med<br />

27:359-379, 1999.<br />

316 14 TH<br />

ANNUAL CONGRESS OF THE EUROPEAN COLLEGE OF SPORT SCIENCE

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