Modeling lactate threshold in cycling-influence of sex, maximal oxygen uptake, and cost of cycling in young athletes
- PMID: 40220138
- PMCID: PMC12354541
- DOI: 10.1007/s00421-025-05744-y
Modeling lactate threshold in cycling-influence of sex, maximal oxygen uptake, and cost of cycling in young athletes
Erratum in
-
Correction: Modeling lactate threshold in cycling-influence of sex, maximal oxygen uptake, and cost of cycling in young athletes.Eur J Appl Physiol. 2025 Aug;125(8):2159. doi: 10.1007/s00421-025-05890-3. Eur J Appl Physiol. 2025. PMID: 40759837 Free PMC article. No abstract available.
Abstract
Purpose: Understanding physiological determinants of lactate threshold 2 (LT2) is crucial for tracking adaptations and deriving individualized training recommendations in cycling. Therefore, the study investigated: 1. the accuracy of modeling power output at LT2 in young athletes of both sexes using maximal oxygen uptake ( ), fractional utilization of (% ), and oxygen cost of cycling (Cc); 2. the influence of Cc determination on the model accuracy; 3. the influence of the model predictors and inclusion of maximal lactate accumulation rate ( ) on power at LT2 depending on sex.
Methods: Eighty-three cyclists and triathletes (22 females, 61 males; age [median and IQR]: 14.6 [13.8-17.6] years, [mean ± SD]: 59.2 ± 6.5 mL⋅kg-1⋅min-1) performed an incremental test to determine power at LT2, % at LT2, and Cc (assessed at 3 W⋅kg-1, 75% and 90% LT2).
Results: Modeled and experimentally determined power at LT2 demonstrated excellent agreement for all, male and female athletes (ICC 0.961), with Cc at 90% LT2 providing the highest accuracy (ICC 0.986). The three physiological determinants explained 98% of the variance in power at LT2, with the largest unique contribution from (62 and 67% of total ), followed by Cc (8 and 34%) and % at LT2 (5 and 12%) in males and females, respectively, while did not improve the regression.
Conclusion: % at LT2 and Cc accurately predict power at LT2 in young cycling athletes independent of sex, with determination of Cc at 90% LT2 providing the highest accuracy. While contributes most to LT2 in both sexes, Cc appears more important in young females.
Keywords: Aerobic capacity; Endurance performance; Gross efficiency; Maximal lactate accumulation rate; Maximal metabolic steady state; Performance diagnostics; Youth athletes.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Conflict of interest: The authors declare no conflict of interest. No funding was received to assist with the preparation of this manuscript.
Figures




Similar articles
-
Capillary-to-sarcolemma distance and location of cytochrome c oxidase: Insights for maximal O2 uptake and muscle lactate release in trained athletes.J Physiol. 2025 Jul;603(14):3945-3960. doi: 10.1113/JP288318. Epub 2025 Jul 2. J Physiol. 2025. PMID: 40605256
-
Is the vLamax for Glycolysis What the max is for Oxidative Phosphorylation?Sports Med. 2025 Jul 17. doi: 10.1007/s40279-025-02259-6. Online ahead of print. Sports Med. 2025. PMID: 40676393 Review.
-
Evaluating the maximal rate of lactate accumulation and estimated maximal lactate steady state in cycling.Eur J Appl Physiol. 2025 Aug;125(8):2173-2183. doi: 10.1007/s00421-025-05751-z. Epub 2025 May 8. Eur J Appl Physiol. 2025. PMID: 40338332
-
A Novel Method to Predict Carbohydrate and Energy Expenditure During Endurance Exercise Using Measures of Training Load.Sports Med. 2025 Mar;55(3):753-774. doi: 10.1007/s40279-024-02131-z. Epub 2024 Nov 1. Sports Med. 2025. PMID: 39487383 Free PMC article.
-
Toward Exercise Guidelines for Optimizing Fat Oxidation During Exercise in Obesity: A Systematic Review and Meta-Regression.Sports Med. 2023 Dec;53(12):2399-2416. doi: 10.1007/s40279-023-01897-y. Epub 2023 Aug 16. Sports Med. 2023. PMID: 37584843
References
-
- Besson T, Macchi R, Rossi J, Morio CYM, Kunimasa Y, Nicol C, Millet GY (2022) Sex differences in endurance running. Sports Med 52(6):1235–1257. 10.1007/s40279-022-01651-w - PubMed
-
- Boisseau N, Delamarche P (2000) Metabolic and hormonal responses to exercise in children and adolescents. Sports Med 30(6):405–422. 10.2165/00007256-200030060-00003 - PubMed
-
- Borgen NT (2018) Running performance, VO2max, and running economy: the widespread issue of endogenous selection bias. Sports Med 48(5):1049–1058. 10.1007/s40279-017-0789-9 - PubMed
-
- Caen K, Poole DC, Vanhatalo A, Jones AM (2024) Critical power and maximal lactate steady state in cycling: ’’watts’’ the difference? Sports Med 54(10):2497–2513. 10.1007/s40279-024-02075-4 - PubMed
-
- Capelli C (1999) Physiological determinants of best performances in human locomotion. Eur J Appl Physiol 80(4):298–307. 10.1007/s004210050596 - PubMed
LinkOut - more resources
Full Text Sources