An Increase in Fat Mass Index Predicts a Deterioration of Running Speed.
bioelectrical impedance analysis
fat mass
fat-free mass
running performance
Journal
Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595
Informations de publication
Date de publication:
25 Mar 2019
25 Mar 2019
Historique:
received:
04
02
2019
revised:
18
03
2019
accepted:
20
03
2019
entrez:
3
4
2019
pubmed:
3
4
2019
medline:
9
8
2019
Statut:
epublish
Résumé
A low fat mass is associated with a good running performance. This study explores whether modifications in body composition predicted changes in running speed. We included people who underwent several measurements of body composition by bioelectrical impedance analysis between 1999 and 2016, at the "Course de l'Escalade", taking place yearly in Geneva. Body composition was reported as a fat-free mass index (FFMI) and fat mass index (FMI). Running distances (men: 7.2 km; women: 4.8 km) and running times were used to calculate speed in km/h. We performed multivariate linear mixed regression models to determine whether modifications of body mass index, FFMI, FMI or the combination of FFMI and FMI predicted changes in running speed. The study population included 377 women (1419 observations) and 509 men (2161 observations). Changes in running speed were best predicted by the combination of FFMI and FMI. Running speed improved with a reduction of FMI in both sexes (women: ß -0.31; 95% CI -0.35 to -0.27,
Identifiants
pubmed: 30934655
pii: nu11030701
doi: 10.3390/nu11030701
pmc: PMC6471649
pii:
doi:
Types de publication
Journal Article
Langues
eng
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