# Intensity Distribution of Collegiate Cross-Country Competitions

**Authors:** Noah Perez, Payton Miller, John W. Farrell

PMC · DOI: 10.3390/sports12010018 · Sports · 2024-01-05

## TL;DR

This study analyzed the intensity distribution of collegiate cross-country races and compared actual race times to modeled performance times.

## Contribution

The study introduces a novel approach to analyzing cross-country race intensity using GPS and physiological markers.

## Key findings

- Participants spent more time in heart rate Zone 2 and 3 compared to Zone 1 during races.
- Running velocity Zone 2 dominated the time distribution during competitions.
- Actual race times were slower than modeled performance times, likely due to race strategies and environmental factors.

## Abstract

The primary purpose of the current investigation was to perform an intensity distribution analysis of a collegiate cross-country (CC) competition, with a secondary purpose to compare race times (RT) with modeled performance times (MPT). Participants completed an incremental treadmill test to determine gas exchange threshold (GET), while the three-minute all-out test was conducted on a 400 m outdoor track to determine critical velocity (CV) and D prime (D′). GET and CV were used as physiological markers for the intensity zones based on heart rate (HR) and running velocity (RV), while CV and D′ were used to determine modeled performance times. Participants wore a Global Positioning System (GPS) watch and heart rate (HR) monitor during competition races. Statistically, less time was spent in HR Zone 1 (12.1% ± 13.7%) compared to Zones 2 (37.6% ± 30.2%) and 3 (50.3% ± 33.7%), while a statically greater amount of time was spent in RV Zone 2 (75.0% ± 20.7%) compared to Zones 1 (8.4% ± 14.0%) and 3 (16.7% ± 19.1%). RTs (1499.5 ± 248.5 seconds (s)) were statistically slower compared to MPTs (1359.6 ± 192.7 s). The observed differences in time spent in each zone are speculated to be related to the influence of environmental conditions on internal metrics and difference in the kinetics of HR and running velocity. Differences in RTs and MPTs are likely due to the MPT equation modeling all-out performance and not considering race strategies.

## Full-text entities

- **Diseases:** CC (MESH:C537866), fatigue (MESH:D005221), injury to people or property (MESH:C000719191), stroke (MESH:D020521), TID (MESH:D000095027), CV (MESH:D016638)
- **Chemicals:** carbon dioxide (MESH:D002245), lactate (MESH:D019344), Oxygen (MESH:D010100), Silicone (MESH:D012828)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC10821186/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC10821186/full.md

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Source: https://tomesphere.com/paper/PMC10821186