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Zone 2 Intensity: A Critical Comparison of Individual Variability in Different Submaximal Exercise Intensity Boundaries
Integrative and Experimental Exercise Science & Training, Department of Sport Science, Julius-Maximilians-Universität Würzburg, Würzburg, Germany; Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID iD: 0000-0001-7044-9426
Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy.ORCID iD: 0000-0002-3828-9626
Luleå University of Technology, Department of Health, Education and Technology, Health, Medicine and Rehabilitation. School of Kinesiology, University of British Columbia, Vancouver, Canada.ORCID iD: 0000-0002-3814-6246
Integrative and Experimental Exercise Science & Training, Department of Sport Science, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID iD: 0000-0003-4686-8561
2025 (English)In: Translational Sports Medicine, E-ISSN 2573-8488, Vol. 2025, article id 2008291Article in journal (Refereed) Published
Abstract [en]

Introduction: Endurance athletes often utilize low-intensity training, commonly defined as Zone 2 (Z2) within a five-zone intensity model, for its potential to enhance aerobic adaptations and metabolic efficiency. This study aimed at evaluating intra- and interindividual variability of commonly used Z2 intensity markers to assess their precision in reflecting physiological responses during training.

Methods: Fifty cyclists (30 males and 20 females) performed both an incremental ramp and a step test in a laboratory setting, during which the power output, heart rate, blood lactate, ventilation, and substrate utilization were measured.

Results: Analysis revealed substantial variability in Z2 markers, with the coefficients of variation (CV) ranging from 6% to 29% across different parameters. Ventilatory Threshold 1 (VT1) and maximal fat oxidation (FatMax) showed strong alignment, whereas fixed percentages of HRmax and blood lactate thresholds exhibited wide individual differences.

Discussion: Standardized markers for Z2, such as fixed percentages of HRmax, offer practical simplicity but may inaccurately reflect metabolic responses, potentially affecting training outcomes. Given the considerable individual variability, particularly in markers with high CVs, personalized Z2 prescriptions based on physiological measurements such as VT1 and FatMax may provide a more accurate approach for aligning training intensities with metabolic demands. This variability highlights the need for individualized low-intensity training prescriptions to optimize endurance adaptations in cyclists, accommodating differences in physiological profiles and improving training specificity.

Place, publisher, year, edition, pages
John Wiley & Sons, 2025. Vol. 2025, article id 2008291
Keywords [en]
aerobic exercise, exercise metabolism, moderate intensity, substrate utilization, training prescription
National Category
Sport and Fitness Sciences
Research subject
Physiotherapy and Health Promotion
Identifiers
URN: urn:nbn:se:ltu:diva-112180DOI: 10.1155/tsm2/2008291ISI: 001428811400001Scopus ID: 2-s2.0-105001635571OAI: oai:DiVA.org:ltu-112180DiVA, id: diva2:1948557
Note

Validerad;2025;Nivå 1;2025-04-10 (u5);

Full text license: CC BY 4.0;

Available from: 2025-03-31 Created: 2025-03-31 Last updated: 2025-04-10Bibliographically approved

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