Work

Analysis of quantile regression for race time in standard distance triathlons

Year: 2024

Type: article

Abstract: 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. RESULTS: Swim time significantly influences race performance among the top 50% of elite athletes (p < 0.05). For slower elite athletes, bike time is more critical. Temperature has a positive effect on race times, while altitude also shows a significant positive impact, with race times decreasing as altitude increases (up to 1,600 meters in this study's dataset). River water enhances race times compared to still water, whereas sea water generally slows athletes down. CONCLUSION: The influence of split times and environmental factors on overall race rime varies according to the athletes' performance levels. To optimize results, training plans and race strategies should be tailored to each athlete's capabilities. Additionally, understanding and adapting to environmental conditions in advance is crucial.

Source: PLoS ONE

DOI: 10.1371/journal.pone.0313496

Authors: Junhui Zhao, Yongfang Ma, Xiaoxiao Hu

Institution: Lanzhou University

Language: English

Topic: Sports Performance and Training

Subfield: Orthopedics and Sports Medicine

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $2,290

Funders: U.S. Department of Transportation, Fundamental Research Funds for the Central Universities