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Distribution of body fat is associated with physical performance of male amateur triathlon athletes.
Puccinelli, Paulo; DE Lira, Claudio A; Vancini, Rodrigo L; Nikolaidis, Pantelis T; Knechtle, Beat; Andrade, Marilia S.
Afiliação
  • Puccinelli P; Department of Physiology, Federal University of São Paulo, São Paulo, Brazil.
  • DE Lira CA; Division of Human and Exercise Physiology, Faculty of Physical Education and Dance, Federal University of Goiás, Goiânia, Brazil.
  • Vancini RL; Center of Physical Education and Sports, Federal University of Espírito Santo, Vitória, Brazil.
  • Nikolaidis PT; Exercise Physiology Laboratory, Nikaia, Greece.
  • Knechtle B; Institute of Primary Care, University of Zurich, Zurich, Switzerland - beat.knechtle@hispeed.ch.
  • Andrade MS; Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland.
J Sports Med Phys Fitness ; 62(2): 215-221, 2022 Feb.
Article em En | MEDLINE | ID: mdl-33666075
BACKGROUND: Endurance sports are strongly associated with maximum oxygen uptake, anaerobic threshold, running economy and body fat percentage. Despite the importance for performance of the low-fat mass being a consensus in the literature, there are no data about the importance of the pattern of fat distribution. Therefore, the aim of the present study was to investigate the association between fat mass distribution with triathlon performance and physiological determinants of performance: maximal oxygen consumption (V̇O2max), ventilatory threshold (AT) and running economy (RE), and to verify the predictive value for performance of gynoid or android fat mass distribution. METHODS: Thirty-nine triathletes (38.8±6.9 years, 174.8±6.5 cm and 74.3±8.8 kg) were evaluated for anthropometric (total body mass, fat mass, lean mass, android and gynoid fat mass) and physiological (V̇O2max, AT and RE) parameters. Split and overall race times were registered. RESULTS: Overall race time relationship with gynoid fat mass (r=0.529, P<0.05) was classified as moderate and with android fat mass (r=0.416, P<0.05) was classified as low. All split times and overall race time presented significant positive correlation with only total fat mass (%) (r=0.329 to 0.574, P<0.05) and with gynoid fat mass (%) (r=0.359 to 0.529, P<0.05). Overall race time can be better predicted by gynoid fat mass (ß=0.529, t=4.093, P<0.001, r2=0.28) than by android fat mass (ß=0.416, t=2.997, P=0.005, r2=0.17). CONCLUSIONS: Fat mass distribution is associated with triathlon performance, and the gynoid fat pattern is worse for triathlon performance than the android pattern.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Consumo de Oxigênio / Composição Corporal Tipo de estudo: Risk_factors_studies Limite: Humans / Male Idioma: En Revista: J Sports Med Phys Fitness Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Itália
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Consumo de Oxigênio / Composição Corporal Tipo de estudo: Risk_factors_studies Limite: Humans / Male Idioma: En Revista: J Sports Med Phys Fitness Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Itália