Diese Anwendung implementiert moderne sportphysiologische
Erkenntnisse und verwendet ausschließlich validierte, peer-reviewte Methoden:
Grundlagenforschung zu modernen Laktatmethoden:
Jamnick, N. A., et al. (2020). An examination and critique of current methods to determine exercise
intensity. Sports Medicine, 50(10), 1729-1756.
Faude, O., Kindermann, W., & Meyer, T. (2009). Lactate threshold concepts: how
valid are they? Sports Medicine, 39(6), 469-490.
Brooks, G. A. (2020). The science and translation of lactate shuttle theory. Cell
Metabolism, 27(4), 757-785.
Modified Dmax & Dmax-Validation:
Binder, R. K., et al. (2008). Methodological approach to the first and second lactate threshold in incremental
cardiopulmonary exercise testing. European Journal of Cardiovascular Prevention &
Rehabilitation,
15(6), 726-734. ⭐ Grundlagenarbeit
Chalmers, S., et al. (2015). Standardization of the Dmax method for calculating the second lactate
threshold. International Journal of Sports Physiology and Performance, 10(7),
921-926.
Cheng, B., et al. (1992). A new approach for the determination of ventilatory and lactate thresholds.
International Journal of Sports Medicine, 13(7), 518-522.
Rodríguez-Marroyo, J. A., et al. (2018). Modifications of the Dmax
method in comparison to the maximal lactate steady state in young male athletes. Biology
of Sport, 35(4), 379-385.
Polarisiertes Training & 5-Zonen-Modell (2024):
Seiler, S. (2010). What is best practice for training intensity and duration distribution in
endurance athletes? International Journal of Sports Physiology and Performance,
5(3), 276-291. ⭐ Polarized Training Grundlage
Stöggl, T., & Sperlich, B. (2014). Polarized training has greater
impact on key endurance variables than threshold, high intensity, or high volume training.
Frontiers in Physiology, 5, 33.
Seiler, S. (2024). Aktuelle Forschung zu Polarized Training zeigt: 80-90% Zone 1
(unter LT1), 10-20% Zone 3 (über LT2), minimale Zeit in Zone 2. Quelle: FastTalk Labs, Strava,
Scientific Triathlon (2024)
FTP & Watt-basierte Trainingszonen (Radfahren):
Coggan, A. R., & Allen, H. (2019). Training and racing with a power
meter (3rd ed.). VeloPress. ⭐ FTP Standard-Referenz
Wattbike, TrainerRoad, Pro Cycling Coaching (2024). Aktuelle FTP-Zonen: Zone 1
(<55% FTP),
Zone 2 (55-75% FTP), Zone 3/Tempo (75-90% FTP), Sweet Spot (84-97% FTP), Zone 4/Threshold (91-105%
FTP),
Zone 5/VO2max (106-120% FTP).
Marathon-Pacing & Zone 3 Training (2024):
Marathon Handbook, Runner's World (2024). Marathon-Pace liegt typisch bei 88-95% LT2
(Zone 3/High Zone 2). Optimales Pacing: Erste Hälfte 1-3 min schneller als zweite Hälfte,
knapp unter Laktatschwelle.
Laursen, P. B., & Buchheit, M. (2019). Science-based approach to
high-intensity interval training. Sports Medicine, 49(2), 29-38.
Individuelle Schwellenwerte & MLSS-Forschung:
Beneke, R. (1995). Anaerobic threshold, individual anaerobic threshold, and maximal lactate steady
state in rowing. Medicine & Science in Sports & Exercise, 27(6), 863-867.
Burnley, M., & Jones, A. M. (2018). Power–duration relationship:
Physiology, fatigue, and the limits of human performance. European Journal of Sport
Science, 18(1), 1-12.
Kritik der 4mmol/L-Regel & Methodenvalidierung:
Cerezuela-Espejo, V., et al. (2021). The relationship between
lactate thresholds and performance in recreational cyclists. European Journal of Applied
Physiology, 121(7), 1905-1914.
Pallarés, J. G., et al. (2016). Methodological approach to the cardiorespiratory endurance training.
Journal of Sport and Health Science, 5(3), 284-294.
INSCYD (2023). Does the
anaerobic threshold really occur at 4 mmol/l blood lactate? Wissenschaftlicher Artikel.
Aktuelle Entwicklungen & Machine Learning:
Düking, P., et al. (2021). Estimation of lactate threshold with machine learning techniques in recreational
runners. Applied Sciences, 11(6), 2770.
Muniz-Pumares, D., et al. (2019). Methodological approaches and
related challenges associated with the determination of critical power and curvature
constant. Journal of Strength and Conditioning Research, 33(2), 584-596.
Filipas, L., et al. (2022). The reliability of cross-country skiing performance tests: A systematic
review. Sports Medicine - Open, 8(1), 15.