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

Barbosa, José Geraldo; de Lira, Claudio Andre Barbosa; Vancini, Rodrigo Luiz; dos Anjos, Vinicius Ribeiro; Vivan, Lavínia; Seffrin, Aldo; Forte, Pedro; Weiss, Katja; Knechtle, Beat; Andrade, Marilia Santos (2023). Physiological Features of Olympic-Distance Amateur Triathletes, as Well as Their Associations with Performance in Women and Men: A Cross–Sectional Study. Healthcare, 11(4):622.

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 V̇O$_2$max (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) (r$^2$ = 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) (r$^2$ = 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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Institute of General Practice
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Leadership and Management
Health Sciences > Health Policy
Health Sciences > Health Informatics
Health Sciences > Health Information Management
Uncontrolled Keywords:Health Information Management, Health Informatics, Health Policy, Leadership and Management
Language:English
Date:20 February 2023
Deposited On:22 Mar 2023 14:03
Last Modified:26 Feb 2025 02:36
Publisher:MDPI Publishing
ISSN:2227-9032
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.3390/healthcare11040622
PubMed ID:36833156
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