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Associations Between Lactate Thresholds and 2000 m Rowing Ergometer Performance: Implications for Prediction-A

Timothy Kilbey¹, Eugenio Vecchi¹, Paulo Salbany²

¹St Catherine's College, University of Oxford, Oxford, UK.

Sports Medicine - Open

|February 28, 2025

Summary

This summary is machine-generated.

Lactate-based exercise thresholds, particularly power at 4 mmol l⁻¹ blood lactate, show strong correlation with 2000m rowing performance. Further research is needed due to varying methodologies in current studies.

Keywords:

Exercise testing Exercise threshold Lactate threshold anaerobic threshold Physiological markers Sports performance

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Area of Science:

Sports Science
Exercise Physiology
Biochemistry

Background:

Athlete performance prediction relies on various exercise thresholds.
A systematic review on lactate-based thresholds and 2000m rowing performance is lacking.
Metabolic parameters and endurance capacity are closely linked to rowing performance.

Purpose of the Study:

To systematically review and assess the literature on lactate-based exercise testing and 2000m rowing ergometer performance.
To evaluate the quality and reliability of existing methodologies.
To discuss the implications for predicting rowing performance.

Main Methods:

Systematic review adhering to PRISMA 2020 guidelines.
Searched EMBASE, MEDLINE, and SPORTDiscus databases with updates in 2023 and 2024.
Included studies reporting lactate tests correlated with 2000m ergometer performance; no meta-analysis was performed.

Main Results:

Twenty-four studies involving 797 athletes were included.
Incremental step-tests were the most common protocol.
Power/velocity at 4 mmol l⁻¹ blood lactate showed strong correlations (0.53-0.96), explaining 28-92% of performance variance.

Conclusions:

Power at 4 mmol l⁻¹ blood lactate demonstrates strong correlation and predictive potential for 2000m rowing performance.
Significant variability in study methodologies hinders direct comparisons.
Further investigation into other lactate thresholds is recommended due to insufficient data reliability.