Publication:

Previous experience, aerobic capacity and body composition are the best predictors for Olympic distance triathlon performance

Date

Date

Date
2020
Journal Article
Published version

Citations

Citation copied

Puccinelli, P. J., Lima, G. H. O., Pesquero, J. B., de Lira, C. A. B., Vancini, R. L., Nikolaids, P. T., Knechtle, B., & Andrade, M. S. (2020). Previous experience, aerobic capacity and body composition are the best predictors for Olympic distance triathlon performance. Physiology and Behavior, 225, 113110. https://doi.org/10.1016/j.physbeh.2020.113110

Abstract

Abstract

Abstract

Objective: Present study examines predictors of the overall race time and disciplines in the Olympic distance triathlon. Methods: Thirty-nine male and six female triathletes were evaluated for anthropometric, physiological, genetic, training, clinical and circadian characteristics. Body composition, maximum capacity for oxygen uptake (V˙O2max), maximum aerobic velocity (MAV), anaerobic threshold (AT), triathlon experience (TE) and XX genotype for α-actinin 3 affected total race time (p<0.05). Results: Total race time can be predicted

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67 since deposited on 2020-09-09
Acq. date: 2025-11-08

Additional indexing

Creators (Authors)

  • Puccinelli, Paulo J
    affiliation.icon.alt
  • Lima, Giscard H O
    affiliation.icon.alt
  • Pesquero, João B
    affiliation.icon.alt
  • de Lira, Claudio A B
    affiliation.icon.alt
  • Vancini, Rodrigo L
    affiliation.icon.alt
  • Nikolaids, Pantelis T
    affiliation.icon.alt
  • Knechtle, Beat
    affiliation.icon.alt
  • Andrade, Marilia Santos
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
225

Page Range

Page Range

Page Range
113110

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Experimental and Cognitive Psychology, Behavioral Neuroscience

Language

Language

Language
English

Publication date

Publication date

Publication date
2020-10-01

Date available

Date available

Date available
2020-09-09

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0031-9384

OA Status

OA Status

OA Status
Closed

PubMed ID

PubMed ID

PubMed ID

Metrics

Views

67 since deposited on 2020-09-09
Acq. date: 2025-11-08

Citations

Citation copied

Puccinelli, P. J., Lima, G. H. O., Pesquero, J. B., de Lira, C. A. B., Vancini, R. L., Nikolaids, P. T., Knechtle, B., & Andrade, M. S. (2020). Previous experience, aerobic capacity and body composition are the best predictors for Olympic distance triathlon performance. Physiology and Behavior, 225, 113110. https://doi.org/10.1016/j.physbeh.2020.113110

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