The Potential Relationship Between Leg Bone Length and Running Performance in Well-Trained Endurance Runners.
Achilles tendon length
bone morphology
magnetic resonance imaging
running economy
step length
Journal
Journal of human kinetics
ISSN: 1640-5544
Titre abrégé: J Hum Kinet
Pays: Poland
ID NLM: 101513031
Informations de publication
Date de publication:
Nov 2019
Nov 2019
Historique:
entrez:
10
1
2020
pubmed:
10
1
2020
medline:
10
1
2020
Statut:
epublish
Résumé
The present study aimed to determine the relationship between leg bone length and running performance in well-trained endurance runners. The lengths of the leg bones in 42 male endurance runners (age: 20.0 ± 1.0 years, body height: 169.6 ± 5.6 cm, body mass: 56.4 ± 5.1 kg, personal best 5000-m race time: 14 min 59 s ± 28 s) were measured using magnetic resonance imaging. The lengths of the femur and tibia were calculated to assess the upper and lower leg lengths, respectively. The total length of the femur + tibia was calculated to assess the overall leg bone length. These lengths of the leg bones were normalized with body height, which was measured using a stadiometer to minimize differences in body size among participants. The relative tibial length was significantly correlated with personal best 5000-m race time (r = -0.328, p = 0.034). Moreover, a trend towards significance was observed in the relative femoral length (r = -0.301, p = 0.053). Furthermore, the relative total lengths of the femur + tibia were significantly correlated with personal best 5000-m race time (r = -0.353, p < 0.05). These findings suggest that although the relationship between the leg bone length and personal best 5000-m race time was relatively minor, the leg bone length, especially of the tibia, may be a potential morphological factor for achieving superior running performance in well-trained endurance runners.
Identifiants
pubmed: 31915486
doi: 10.2478/hukin-2019-0039
pii: hukin-2019-0039
pmc: PMC6942485
doi:
Types de publication
Journal Article
Langues
eng
Pagination
165-172Informations de copyright
© 2019 Hiromasa Ueno, Tadashi Suga, Kenji Takao, Yuto Miyake, Masafumi Terada, Akinori Nagano, Tadao Isaka, published by Sciendo.
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