Introduction: Our study examined 16,611 records of professional triathletes from 163 Ironman® 70.3 races across 97 countries (2004-2020). The aim was to identify the most predictive discipline-swim, bike, or run-for overall race time.
Methods: We used correlation matrices to compare the dependent variable "finish time" with independent variables "swim time," "bike time," and "run time." This analysis was conducted separately for male and female athletes. Additionally, univariate and multiple linear regression models assessed the strength of these associations.
Results: The results indicated that "bike time" had the strongest correlation with finish time (0.85), followed by "run time" (0.75 for females, 0.82 for males) and "swim time" (0.46 for females, 0.63 for males). Regression models confirmed "bike time" as the strongest predictor of overall race time (² = 0.8), with "run time" and "swim time" being less predictive.
Discussion: The study concludes that in Ironman 70.3 races, "bike time" is the most significant predictor of overall race performance for both sexes, suggesting a focus on cycling in training and competition strategies. It also highlights a smaller performance gap between genders in swimming than in cycling or running.
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http://dx.doi.org/10.3389/fspor.2024.1214929 | DOI Listing |
PLoS One
November 2024
School of Mathematics and Statistics, Center for Data Science, Lanzhou University, Gansu, China.
Purpose: This study aims to quantitatively analyze the impact of split times on overall performance in standard distance triathlon events. It also examines how environmental factors such as water type, temperature, and altitude affect overall race outcomes.
Methods: Quantile regression was employed to analyze the race records of 1,580 triathletes participating in 46 standard distance events in China.
Front Sports Act Living
February 2024
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
Introduction: Our study examined 16,611 records of professional triathletes from 163 Ironman® 70.3 races across 97 countries (2004-2020). The aim was to identify the most predictive discipline-swim, bike, or run-for overall race time.
View Article and Find Full Text PDFSports Biomech
August 2019
a School of Sport & Exercise , Massey University, Palmerston North , New Zealand.
There is currently a dearth of information describing cycling performance outside of propulsive and physiological variables. The aim of the present study was to utilise a brake power meter to quantify braking during a multi-lap cross-country mountain bike time trial and to determine how braking affects performance. A significant negative association was determined between lap time and brake power (800.
View Article and Find Full Text PDFJ Sports Sci
July 2017
a Division of Sport, Exercise and Nutritional Sciences , University of Central Lancashire, Preston , UK.
The purpose of this study was to determine the influence of different wheel size diameters on indicators of cross-country mountain bike time trial performance. Nine competitive male mountain bikers (age 34.7 ± 10.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!