Ludwig Rappelt, Steffen Riestenpatt, Melanie Lesinski, Katja Ferger, Lars Donath
{"title":"利用无氧速度储备对400米短跑运动员进行成绩预测和分类。","authors":"Ludwig Rappelt, Steffen Riestenpatt, Melanie Lesinski, Katja Ferger, Lars Donath","doi":"10.1016/j.jsams.2025.03.012","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To provide an integrative framework of endurance performance, the anaerobic speed reserve gained increasing popularity in middle-distance running. The present study investigated athlete profiles and performance predications based on the anaerobic speed reserve framework in 400m athletes.</p><p><strong>Design: </strong>Descriptive laboratory study.</p><p><strong>Methods: </strong>Maximal oxygen uptake, lactate threshold (vL4), maximal sprinting speed, maximal aerobic speed, and speed reserve ratio (speed reserve ratio; maximal sprinting speed:maximal aerobic speed) of national level and elite German 400m-sprinters (n = 13 females, age [yrs]: 20.8 ± 3.1, personal best (PB400) [s]: 55.1 ± 3.0 & n = 5 males, age: 22.8 ± 3.1, PB400: 46.7 ± 1.0) were assessed. A prediction model for 400m performance was computed via stepwise multiple regression. K-means clustering was calculated based on the speed reserve ratio.</p><p><strong>Results: </strong>Maximal sprinting speed, maximal aerobic speed and vL4 showed moderate to large negative bivariate correlations with 400m performance (-0.61 < r < -0.94; p ≤ 0.008). Backward stepwise regression revealed maximal sprinting speed and maximal aerobic speed as strong predictors for 400m performance (adjusted R<sup>2</sup> = 0.90, standard error of the estimate = 1.447 s [2.6 %]). K-means clustering revealed two distinct subgroups along the speed reserve ratio-continuum (sprint-type: speed reserve ratio ≥1.81; endurance-type: speed reserve ratio ≤1.77).</p><p><strong>Conclusions: </strong>Maximal sprinting speed and maximal aerobic speed are powerful predictors for 400m performance, with vL4 also being associated with 400m performance. Speed reserve ratio calculation enables a differentiation between 400m sprint-type and endurance-type athletes. The interplay of maximal sprinting speed and maximal aerobic speed enables a broader understanding of the contributing factors to 400m performance. These parameters may support coaches in programming training tailored to individual needs during different training periods.</p>","PeriodicalId":16992,"journal":{"name":"Journal of science and medicine in sport","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance prediction and athlete categorization using the anaerobic speed reserve in 400m sprinters.\",\"authors\":\"Ludwig Rappelt, Steffen Riestenpatt, Melanie Lesinski, Katja Ferger, Lars Donath\",\"doi\":\"10.1016/j.jsams.2025.03.012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To provide an integrative framework of endurance performance, the anaerobic speed reserve gained increasing popularity in middle-distance running. The present study investigated athlete profiles and performance predications based on the anaerobic speed reserve framework in 400m athletes.</p><p><strong>Design: </strong>Descriptive laboratory study.</p><p><strong>Methods: </strong>Maximal oxygen uptake, lactate threshold (vL4), maximal sprinting speed, maximal aerobic speed, and speed reserve ratio (speed reserve ratio; maximal sprinting speed:maximal aerobic speed) of national level and elite German 400m-sprinters (n = 13 females, age [yrs]: 20.8 ± 3.1, personal best (PB400) [s]: 55.1 ± 3.0 & n = 5 males, age: 22.8 ± 3.1, PB400: 46.7 ± 1.0) were assessed. A prediction model for 400m performance was computed via stepwise multiple regression. K-means clustering was calculated based on the speed reserve ratio.</p><p><strong>Results: </strong>Maximal sprinting speed, maximal aerobic speed and vL4 showed moderate to large negative bivariate correlations with 400m performance (-0.61 < r < -0.94; p ≤ 0.008). Backward stepwise regression revealed maximal sprinting speed and maximal aerobic speed as strong predictors for 400m performance (adjusted R<sup>2</sup> = 0.90, standard error of the estimate = 1.447 s [2.6 %]). K-means clustering revealed two distinct subgroups along the speed reserve ratio-continuum (sprint-type: speed reserve ratio ≥1.81; endurance-type: speed reserve ratio ≤1.77).</p><p><strong>Conclusions: </strong>Maximal sprinting speed and maximal aerobic speed are powerful predictors for 400m performance, with vL4 also being associated with 400m performance. Speed reserve ratio calculation enables a differentiation between 400m sprint-type and endurance-type athletes. The interplay of maximal sprinting speed and maximal aerobic speed enables a broader understanding of the contributing factors to 400m performance. These parameters may support coaches in programming training tailored to individual needs during different training periods.</p>\",\"PeriodicalId\":16992,\"journal\":{\"name\":\"Journal of science and medicine in sport\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of science and medicine in sport\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jsams.2025.03.012\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of science and medicine in sport","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jsams.2025.03.012","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
Performance prediction and athlete categorization using the anaerobic speed reserve in 400m sprinters.
Objectives: To provide an integrative framework of endurance performance, the anaerobic speed reserve gained increasing popularity in middle-distance running. The present study investigated athlete profiles and performance predications based on the anaerobic speed reserve framework in 400m athletes.
Design: Descriptive laboratory study.
Methods: Maximal oxygen uptake, lactate threshold (vL4), maximal sprinting speed, maximal aerobic speed, and speed reserve ratio (speed reserve ratio; maximal sprinting speed:maximal aerobic speed) of national level and elite German 400m-sprinters (n = 13 females, age [yrs]: 20.8 ± 3.1, personal best (PB400) [s]: 55.1 ± 3.0 & n = 5 males, age: 22.8 ± 3.1, PB400: 46.7 ± 1.0) were assessed. A prediction model for 400m performance was computed via stepwise multiple regression. K-means clustering was calculated based on the speed reserve ratio.
Results: Maximal sprinting speed, maximal aerobic speed and vL4 showed moderate to large negative bivariate correlations with 400m performance (-0.61 < r < -0.94; p ≤ 0.008). Backward stepwise regression revealed maximal sprinting speed and maximal aerobic speed as strong predictors for 400m performance (adjusted R2 = 0.90, standard error of the estimate = 1.447 s [2.6 %]). K-means clustering revealed two distinct subgroups along the speed reserve ratio-continuum (sprint-type: speed reserve ratio ≥1.81; endurance-type: speed reserve ratio ≤1.77).
Conclusions: Maximal sprinting speed and maximal aerobic speed are powerful predictors for 400m performance, with vL4 also being associated with 400m performance. Speed reserve ratio calculation enables a differentiation between 400m sprint-type and endurance-type athletes. The interplay of maximal sprinting speed and maximal aerobic speed enables a broader understanding of the contributing factors to 400m performance. These parameters may support coaches in programming training tailored to individual needs during different training periods.
期刊介绍：
The Journal of Science and Medicine in Sport is the official journal of Sports Medicine Australia (SMA) and is an an international refereed research publication covering all aspects of sport science and medicine.
The Journal considers for publication Original research and Review papers in the sub-disciplines relating generally to the broad sports medicine and sports science fields: sports medicine, sports injury (including injury epidemiology and injury prevention), physiotherapy, podiatry, physical activity and health, sports science, biomechanics, exercise physiology, motor control and learning, sport and exercise psychology, sports nutrition, public health (as relevant to sport and exercise), and rehabilitation and injury management. Manuscripts with an interdisciplinary perspective with specific applications to sport and exercise and its interaction with health will also be considered.
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