Scientific article
Open access

An Increase in Fat Mass Index Predicts a Deterioration of Running Speed

Published inNutrients, vol. 11, no. 3, 701
Publication date2019

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

  • Bioelectrical impedance analysis
  • Fat mass
  • Fat-free mass
  • Running performance
Citation (ISO format)
GENTON GRAF, Laurence et al. An Increase in Fat Mass Index Predicts a Deterioration of Running Speed. In: Nutrients, 2019, vol. 11, n° 3, p. 701. doi: 10.3390/nu11030701
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ISSN of the journal2072-6643

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