Running performance in a timed city run and body composition: A cross-sectional study in more than 3000 runners.
Bioelectrical impedance analysis
Body mass index
Fat mass
Fat-free mass
Running speed
Journal
Nutrition (Burbank, Los Angeles County, Calif.)
ISSN: 1873-1244
Titre abrégé: Nutrition
Pays: United States
ID NLM: 8802712
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
14
09
2018
revised:
11
10
2018
accepted:
18
10
2018
pubmed:
25
1
2019
medline:
19
3
2020
entrez:
25
1
2019
Statut:
ppublish
Résumé
The importance of body composition for running performance is unclear in the general population. The aim of this study was to evaluate whether body composition influences running speed and whether it is a better predictor of running speed than body mass index (BMI). The study included 1353 women (38.2 ± 12.1 y of age) and 1771 men (39.6 ± 12.1 y of age) who underwent, for the first time, a measurement of body composition by bioelectrical impedance analysis between 1999 and 2016, before a timed run occurring annually in Geneva. The running distances and times were converted to average speed (km/h). Body composition was expressed as sex-specific quartiles, where quartile 1 (lowest values) was the reference quartile. The relationships between speed and BMI or body composition were analyzed by multivariate linear regressions. Multivariate regressions showed that the higher the fat mass index (FMI) quartile, the lower the running speed in women and men (all P < 0.001). In men, a fat-free mass index (FFMI) in quartile 4 (>20 kg/m Running speed is negatively associated with BMI and FMI in both sexes. Body composition is a better predictor of running performance than BMI.
Identifiants
pubmed: 30677531
pii: S0899-9007(18)31033-5
doi: 10.1016/j.nut.2018.10.022
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-7Informations de copyright
Copyright © 2018 Elsevier Ltd. All rights reserved.