Is muscle typology in young talented track and field athletes a predictor for adult success?
Freek Van de Casteele, Eline Lievens, Kim Van Vossel, Tine Bex, Audrey Baguet, Wim Derave
Department of Movement and Sports Sciences, Ghent University, Belgium
HYPOTHESIS
INTRODUCTION
When young talented athletes practice a discipline that suits their muscle typology, they are more successful at the adult age.
Elite long distance runners have a high proportion of slow muscle fibers, whereas elite sprinters possess a large share of
fast muscle fibers In which discipline
can I excel the most?
45%
15%
40%
Genetic variance
Sampling and technical variance
Environmental variance
Muscle typology is largely genetically determined
Adapted from
Simoneau & Bouchard, 1995 Costill et al., 1976
Fast-twitch fiber Slow-twitch fiber
METHODS
Muscle carnosine content was measured in gastrocnemius via 1H-MRS spectroscopy
y = 0.1139x + 0.1926 R² = 0.5036 0
1 2 3 4 5 6 7 8
20 25 30 35 40 45 50 55 60 65
[carnosine] (mM)
% area type II
Baguet et al., 2011 3-T whole body MRI scanner (Siemens Trio)
61 elite athletes
• IAAF-score > 1050
Positive correlation between muscle carnosine concentration and %type II muscle fiber area
Carnosine expressed as Z-score based on
reference population (163 men, 112 women) The individual best performances were tracked
for 10 years via standardized IAAF-scores
Population Muscle typology estimation
Performance tracking Matching muscle typology?
38 young athletes
• Topsportschool
• > 14 years
• > 12 years
-2 0 2
Discipline
Gastrocnemius carnosine Z-score Elite athlete
-2 0 2 4
100/200m 400m High jump 800m Decathlon/heptathlon 1500m 3000/5000m 10000m Marathon
Gastrocnemius carnosine Z-score
Mean Z-score elite Match
Match Mismatch 750
800 850 900 950 1000 1050 1100 1150 1200
IAAF-score
p = 0.352
Match Mismatch 750
800 850 900 950 1000 1050 1100 1150 1200
IAAF-score
p = 0.352
Mismatch
RESULTS
CONCLUSION
31 (82%) matches and 7 (18%) mismatches
When young talented track and field athletes possess a muscle typology that matches their discipline, they seem to reach the elite level more frequently.
11/31 (36%) matches and 1/7 (14%) mismatches reached the elite level
-2 0 2 4
100/200m 400m High jump 800m Decathlon/heptathlon 1500m 3000/5000m 10000m Marathon
Gastrocnemius carnosine Z-score
Mismatch Match Elite athlete Mean Z-score elite
-2 0 2 4
100/200m 400m High jump 800m Decathlon/heptathlon 1500m 3000/5000m 10000m Marathon
Gastrocnemius carnosine Z-score Match Mismatch
750 800 850 900 950 1000 1050 1100 1150 1200
IAAF-score
p = 0.352
Match Mismatch 750
800 850 900 950 1000 1050 1100 1150 1200
IAAF-score
p = 0.352
Elite level
Match Mismatch 750
800 850 900 950 1000 1050 1100 1150 1200
IAAF-score
p = 0.352
Mismatch
N = 7
Elite level (IAAF > 1050) Non-elite level (IAAF < 1050) Match
N = 31 11 (36%)
20 (64%)
Mismatch
N = 7
Elite level (IAAF > 1050) Non-elite level (IAAF < 1050) 1
(14%)
6 (86%)
Match Mismatch 750
800 850 900 950 1000 1050 1100 1150 1200
IAAF-score
p = 0.352
Match Mismatch 750
800 850 900 950 1000 1050 1100 1150 1200
IAAF-score
p = 0.352 No significant difference in best IAAF-
score between matches and mismatches
freek.vandecasteele@ugent.be CasteeleFreek
TeamDerave