关键词: air displacement plethysmography anaerobic fitness dual energy X-ray absorptiometry (DXA) scaling short-term maximal intensity

Mesh : Absorptiometry, Photon Adolescent Adult Athletes Body Size Humans Linear Models Male Sports Young Adult

来  源:   DOI:10.3390/medicina56090480   PDF(Sci-hub)   PDF(Pubmed)

Abstract:
Background and objectives: Athletes from combat sports are grouped into a series of weight categories that are intended to promote fair competition. Differences in performance are partly attributable to differences in body size. Consequently, ratio standards in which a performance variable is simply divided by an anthropometric characteristic such as body mass are often used, although this application is not recommended. This study aimed to obtain allometric models to interpret Wingate Anaerobic Test (WAnT) outputs among male adult athletes from combat sports. Materials and Methods: The sample was composed of 64 participants aged 18-39 years (24.2 ± 4.6 years). Stature and body mass (BM) were measured and air displacement plethysmography used to estimate fat mass and fat-free mass (FFM). Lower-limb lean soft tissue (LL-LST) was derived from dual energy X-ray absorptiometry. WAnT outputs were peak power (WAnT-PP) and mean power (WAnT-MP). Allometric models were obtained from simple and multiple linear regressions using log-transformed variables. Results: Models derived from a single three-dimension descriptor explained a large portion of variance: WAnT-PP (BM: 31.1%; FFM: 54%; LL-LST: 47.2%) and WAnT-MP (BM: 50.1%; FFM: 57.4%; LL-LST: 62.7%). Finally, the best proportional allometric models emerged from the combination of LL-LST and FFM (WAnT-PP: 55%; WAnT-MP: 65%). Conclusions: The relationship between weight categories and performance did not seem to be explained by the basic principles of geometric similarity.
摘要:
背景和目标:来自格斗运动的运动员被分为一系列体重类别,旨在促进公平竞争。表现的差异部分归因于体型的差异。因此,通常使用比率标准,其中性能变量简单地除以人体测量特征,如体重,尽管不建议使用此应用程序。这项研究旨在获得异速模型,以解释格斗运动中男性成年运动员的翼门无氧测试(WAnT)输出。材料和方法:样本由64名18-39岁(24.2±4.6岁)的参与者组成。测量身高和体重(BM),并使用空气置换体积描记术来估计脂肪量和无脂肪量(FFM)。下肢瘦软组织(LL-LST)来自双能X射线吸收法。WAnT输出为峰值功率(WAnT-PP)和平均功率(WAnT-MP)。异速模型是使用对数变换变量从简单和多元线性回归获得的。结果:从单个三维描述符得出的模型解释了很大一部分差异:WAnT-PP(BM:31.1%;FFM:54%;LL-LST:47.2%)和WAnT-MP(BM:50.1%;FFM:57.4%;LL-LST:62.7%)。最后,LL-LST和FFM的组合出现了最佳比例异速模型(WAnT-PP:55%;WAnT-MP:65%)。结论:权重类别与性能之间的关系似乎没有用几何相似性的基本原理来解释。
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