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备战北京冬奥会自由式滑雪空中技巧运动员冠军体能模型的研究。

Research on the champion physical fitness model of freestyle skiing aerials athletes in preparation for the Beijing Winter olympics.

机构信息

School of Sports Training, Shenyang Sport University, Shenyang, China.

School of Social Sports, Shenyang Sport University, Shenyang, China.

出版信息

Sci Rep. 2024 Nov 24;14(1):29107. doi: 10.1038/s41598-024-80823-2.

Abstract

The objective of this study is to establish a champion physical fitness model of freestyle skiing aerials athletes, thereby enhancing athletes' competitive ability and providing a reference for scientific training and monitoring in the 2026 Milan Winter Olympics. Initiated with a literature review, the study proceeded through expert interviews and questionnaire surveys to determine the physical fitness measurement items. A total of 29 elite athletes voluntarily participated in the test. Using statistical analysis, this study developed a physical fitness model based on three key aspects: indicator, weight, and quantitative models. The results indicate that the indicator model encompasses primary indicators of body morphology, physiological function, and athletic quality, along with 11 related secondary and tertiary indicators. The tertiary indicators include lean body mass, waist/height×100, lower limb length/height×100, relative maximum anaerobic power, relative maximum oxygen uptake, blood urea, 1RM barbell squat, overhead barbell squat on balance pads, side throw ball, 30-meter sprint, and 12-minute run. The weight model assigned different weight values to these indicators based on their importance in physical fitness assessments. The quantitative model, developed through factor analysis and stepwise multiple linear regression, includes the champion physical fitness characteristics model and the performance prediction model. The champion physical fitness characteristics model uses box plots to visually present the physical fitness differences between champions and other athletes, highlighting the superior physical characteristics of the champions. The performance prediction model identified training experience, relative maximum anaerobic power, 1RM barbell squat, and overhead barbell squat on balance pads as key predictive variables. This model provides forward-looking training guidance and competitive strategy recommendations for coaches and athletes.

摘要

本研究旨在建立自由式滑雪空中技巧运动员的全能体能模型,提高运动员的竞技能力,为 2026 年米兰冬奥会的科学训练和监控提供参考。研究采用文献综述、专家访谈和问卷调查法确定体能测试项目,共有 29 名优秀运动员自愿参加测试。通过统计分析,本研究建立了基于三个关键方面的体能模型:指标、权重和量化模型。结果表明,指标模型包括身体形态、生理机能和运动素质的主要指标,以及 11 个相关的二级和三级指标。三级指标包括去脂体重、腰高×100、下肢长高×100、相对最大无氧功率、相对最大摄氧量、血尿素、1RM 杠铃深蹲、平衡垫上杠铃深蹲、侧抛球、30 米冲刺和 12 分钟跑。权重模型根据各指标在体能评估中的重要性赋予不同的权重值。量化模型通过因子分析和逐步多元线性回归建立,包括全能体能特征模型和成绩预测模型。全能体能特征模型使用箱线图直观地展示了冠军和其他运动员之间的体能差异,突出了冠军的优越体能特征。成绩预测模型确定了训练经验、相对最大无氧功率、1RM 杠铃深蹲和平衡垫上杠铃深蹲是关键的预测变量。该模型为教练员和运动员提供了前瞻性的训练指导和竞争策略建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cceb/11586405/f44bc7c57cb9/41598_2024_80823_Fig1_HTML.jpg

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