A predictive model for vertical ground reaction force during incline push-ups

斜板俯卧撑过程中垂直地面反作用力的预测模型

阅读:2

Abstract

Push-ups enhance upper body strength without special equipment, yet the impact of different inclinations on intensity is not well-understood. Although the load-velocity relationship is established in resistance training, its relevance to push-ups needs further exploration. Previous studies have suggested that inclination affects muscle activation, but accurate models for predicting exercise intensity remain underdeveloped. To address this gap, this study aims to develop a reliable predictive model based on ground reaction forces measured during push-ups performed at different inclinations and speeds. Twenty-seven male university students participated, performing push-ups at 10°, 20°, and 30° inclinations with feet elevated, at three metronome-enforced tempos (7 reps/10 s, 5/10 s, and 4/10 s). Body measurements, vertical ground reaction forces, and average speeds were recorded for each angle. This study developed a predictive model for vertical ground reaction force during push-up exercises that incorporates body mass, incline angle, and movement tempo. Force data were collected with a Kistler force platform (Model 9281EA, Switzerland) and modeled via multiple linear regression. Agreement between predicted and measured forces was summarized using Bland-Altman analyses: mean biases were small (|bias| ≤ 16.66 N) and the 95% limits of agreement were approximately ± 104-206 N across conditions. Significant angle-specific associations were observed between tempo and force. At 10°, maximum force correlated with fast (r = 0.58, p = 0.005) and medium tempos (r = 0.69, p < 0.001). At 20°, all tempos correlated with maximum force, most strongly at slow tempo (r = 0.74, p < 0.001), and minimum force correlated with medium (r = 0.61, p < 0.001) and slow tempos (r = 0.75, p < 0.001). At 30°, both fast (r = 0.55, p = 0.009) and slow tempos (r = 0.54, p = 0.010) were associated with maximum force. These findings support the use of the model to inform individualized load prescription across common incline angles and tempos. Within the tested conditions (10°, 20°, 30° and three tempos), the regression model showed moderate predictive performance with acceptable agreement between predicted and measured forces. The 20° models for minimum force performed best at medium and slow tempos. Because body mass was a positive predictor of force across angles, individual body mass should be considered when prescribing push-up intensity.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。