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附加负荷下的表现:基于公式的背负背包时控制负荷强度的预测

Performance with an additional load: formula-based predictions for controlling the load intensity when carrying backpacks.

作者信息

Klughardt Saskia, Schaar Bettina

机构信息

Institute for Sports Science, Faculty of Humanity, University of the Bundeswehr Munich, Werner-Heisenberg-Weg 39, Neubiberg, Munich, 85577, Germany.

出版信息

BMC Sports Sci Med Rehabil. 2025 Apr 4;17(1):70. doi: 10.1186/s13102-025-01111-8.

Abstract

INTRODUCTION

Endurance-specific activities in diverse terrains, including alpine regions, necessitate the transportation of supplementary equipment, thereby necessitating an adaptation of the load intensity. To ascertain the impact of these loads on acute endurance performance and load intensity, it was essential to conduct tests with additional loads to predict the individual reaction to carrying additional loads on performance. The formulas derived in this study facilitate the prediction of exercise adaptation when carrying additional loads.

PURPOSE

This study aimed to develop and validate a formula-based prediction of performance adaptation when carrying additional loads to guide load intensities and training instructions.

METHODS

The 105 participants, 54 male and 51 female, had a mean age of 23.7 years, a mean height of 174.0 cm, a mean weight of 71.7 kg, and an aerobic capacity of 48.6 mL/kg/min-1. Two treadmill ramp tests were conducted in a laboratory setting, with and without additional loads, to assess the adaptation of cardiopulmonary parameters. Both tests were conducted at 4 km/h and an incline of 1%, with the speed increasing by 1 km/h each minute until the subject reported feeling exhausted. The statistical analysis was conducted via stepwise linear regression. The formulas were validated with an independent t-test on an additional dataset, and the equivalence was determined with a two-sided test (TOST).

RESULTS

Based on these tests, regressions were calculated for speed (p < 0.001) and heart rate (p < 0.001) with additional loads, and formulas were derived to predict the adaptations of heart rate and speed to additional loads. The results revealed that the backpack weight, sex, and individual parameters without load were the most accurate predictors of performance with additional load carriage (p < 0.001). The validation of the formulas, using a sample of N = 64, was statistically equivalent.

CONCLUSION

The formulas can predict the adaptation of running speeds and heart rates at the ventilatory thresholds with different additional loads. This is useful for controlling optimal load intensities in endurance performance with additional loads, to prevent overstraining. This is particularly relevant in mountain sports or military marches, where optimizing loads and mitigating falls due to overstraining is crucial.

摘要

引言

在包括高山地区在内的各种地形上进行耐力特定活动,需要运输额外的装备,因此需要调整负荷强度。为了确定这些负荷对急性耐力表现和负荷强度的影响,通过额外负荷测试来预测个体对携带额外负荷对表现的反应至关重要。本研究中推导的公式有助于预测携带额外负荷时的运动适应性。

目的

本研究旨在开发并验证一种基于公式的携带额外负荷时表现适应性的预测方法,以指导负荷强度和训练指导。

方法

105名参与者,54名男性和51名女性,平均年龄23.7岁,平均身高174.0厘米,平均体重71.7千克,有氧能力为48.6毫升/千克/分钟-1。在实验室环境中进行了两次跑步机斜坡测试,一次有额外负荷,一次没有,以评估心肺参数的适应性。两次测试均以4公里/小时的速度和1%的坡度进行,速度每分钟增加1公里/小时,直到受试者报告感到疲惫。通过逐步线性回归进行统计分析。这些公式在一个额外的数据集中通过独立t检验进行验证,并通过双侧检验(TOST)确定等效性。

结果

基于这些测试,计算了有额外负荷时速度(p < 0.001)和心率(p < 0.001)的回归,并推导了预测心率和速度对额外负荷适应性的公式。结果表明,背包重量、性别和无负荷时的个体参数是携带额外负荷时表现的最准确预测因素(p < ……此处原文有误,应是p < 0.001)。使用N = 64的样本对公式进行验证,在统计学上是等效的。

结论

这些公式可以预测在不同额外负荷下通气阈值时跑步速度和心率的适应性。这对于控制携带额外负荷时耐力表现的最佳负荷强度很有用,以防止过度劳累。这在山地运动或军事行军中尤为重要,在这些情况下,优化负荷并减轻因过度劳累导致的摔倒至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eae3/11969823/de1ce688c0cf/13102_2025_1111_Fig1_HTML.jpg

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