Zone 2 Intensity: A Critical Comparison of Individual Variability in Different Submaximal Exercise Intensity Boundaries.

IF 1.2 Q3 SPORT SCIENCES
Translational sports medicine Pub Date : 2025-02-23 eCollection Date: 2025-01-01 DOI:10.1155/tsm2/2008291
Benedikt Meixner, Luca Filipas, Hans-Christer Holmberg, Billy Sperlich
{"title":"Zone 2 Intensity: A Critical Comparison of Individual Variability in Different Submaximal Exercise Intensity Boundaries.","authors":"Benedikt Meixner, Luca Filipas, Hans-Christer Holmberg, Billy Sperlich","doi":"10.1155/tsm2/2008291","DOIUrl":null,"url":null,"abstract":"<p><p><b>Introduction:</b> 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. <b>Methods:</b> 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. <b>Results:</b> Analysis revealed substantial variability in Z2 markers, with the coefficients of variation (CV) ranging from 6% to 29% across different parameters. Ventilatory Threshold 1 (VT<sub>1</sub>) and maximal fat oxidation (Fat<sub>Max</sub>) showed strong alignment, whereas fixed percentages of HR<sub>max</sub> and blood lactate thresholds exhibited wide individual differences. <b>Discussion:</b> Standardized markers for Z2, such as fixed percentages of HR<sub>max</sub>, 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 VT<sub>1</sub> and Fat<sub>Max</sub> 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.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2025 ","pages":"2008291"},"PeriodicalIF":1.2000,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11986187/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational sports medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/tsm2/2008291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

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.

区域2强度:不同亚极限运动强度边界下个体变异性的关键比较。
简介:耐力运动员经常使用低强度训练,通常被定义为五区强度模型中的2区(Z2),因为它有可能增强有氧适应和代谢效率。本研究旨在评估常用的Z2强度标记在个体内和个体间的可变性,以评估其反映训练过程中生理反应的准确性。方法:50名骑行者(30名男性和20名女性)在实验室环境中进行了渐进式坡道和阶梯测试,在此期间测量了功率输出、心率、血乳酸、通气量和底物利用率。结果:分析显示Z2标记存在显著差异,不同参数的变异系数(CV)在6%至29%之间。通气阈值1 (VT1)和最大脂肪氧化(FatMax)表现出很强的一致性,而HRmax和血乳酸阈值的固定百分比则表现出广泛的个体差异。讨论:标准化的Z2标记,如固定的HRmax百分比,提供了实用的简单性,但可能不准确地反映代谢反应,潜在地影响训练结果。考虑到相当大的个体差异,特别是在具有高cv的标记物中,基于生理测量(如VT1和FatMax)的个性化Z2处方可能提供更准确的方法来调整训练强度与代谢需求。这种可变性强调了个性化的低强度训练处方的必要性,以优化自行车运动员的耐力适应,适应生理特征的差异,提高训练的特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信