Physiological Features of Olympic-Distance Amateur Triathletes, as Well as Their Associations with Performance in Women and Men: A Cross–Sectional Study

Author:

Barbosa José Geraldo1ORCID,de Lira Claudio Andre Barbosa2ORCID,Vancini Rodrigo Luiz3ORCID,dos Anjos Vinicius Ribeiro1,Vivan Lavínia1,Seffrin Aldo1ORCID,Forte Pedro456ORCID,Weiss Katja7ORCID,Knechtle Beat78ORCID,Andrade Marilia Santos1ORCID

Affiliation:

1. Department of Physiology, Federal University of São Paulo, São Paulo 04021-001, Brazil

2. Human and Exercise Physiology Division, Faculty of Physical Education and Dance, Federal University of Goiás, Goiânia 74690-900, Brazil

3. Center for Physical Education and Sports, Federal University of Espírito Santo, Vitória 29075-210, Brazil

4. Department of Sports, Higher Institute of Educational Sciences of the Douro, 4560-547 Porto, Portugal

5. Department of Sports Sciences, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal

6. Research Center in Sports, Health and Human Development, 7000-671 Covilhã, Portugal

7. Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland

8. Medbase St. Gallen Am Vadianplatz, 9000 St. Gallen, Switzerland

Abstract

The purpose of this study was to verify the physiological and anthropometric determinants of triathlon performance in female and male athletes. This study included 40 triathletes (20 male and 20 female). Dual-energy X-ray absorptiometry (DEXA) was used to assess body composition, and an incremental cardiopulmonary test was used to assess physiological variables. A questionnaire about physical training habits was also completed by the athletes. Athletes competed in the Olympic-distance triathlon race. For the female group, the total race time can be predicted by V̇O2max (β = −131, t = −6.61, p < 0.001), lean mass (β = −61.4, t = −2.66, p = 0.018), and triathlon experience (β = −886.1, t = −3.01, p = 0.009) (r2 = 0.825, p < 0.05). For the male group, the total race time can be predicted by maximal aerobic speed (β = −294.1, t = −2.89, p = 0.010) and percentage of body fat (β = 53.6, t = 2.20, p = 0.042) (r2 = 0.578, p < 0.05). The variables that can predict the performance of men are not the same as those that can predict the triathlon performance of women. These data can help athletes and coaches develop performance-enhancing strategies.

Funder

FAPESP

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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