ベンチプレス練習の繰り返しでのパフォーマンス回復の時間経過:モデリングアプローチ
Michail G Panagiotopoulos1, Athanasios Tsoukos, Charilaos Tsolakis
1School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece.
Journal of strength and conditioning research
|August 22, 2025
まとめ
この研究では,バーベルの速度減少率と理論上の最大速度がベンチプレス中の回復時間を予測することを発見しました. これらの要素は 爆発的な強度トレーニングの 休憩時間を最適化するのに役立ちます
科学分野:
- 運動 生理学
- スポーツ科学
- バイオメカニクス
背景:
- 訓練の最適化には 性能回復の理解が不可欠です
- 高強度運動を繰り返しすると 性能が低下します
- 個々の回復率は大きく異なるので 個別的なトレーニング戦略が必要になります
研究 の 目的:
- 繰り返しベンチプレスする際に,パフォーマンスと生理学的パラメータがバーベルの速度回復に及ぼす影響を調査する.
- パフォーマンス回復の時間経過をモデル化します.
- 回復率の主要な予測要因を特定し,最適な休憩時間の処方について情報を提供する.
主な方法:
- 13人のレジスタンス訓練を受けた男性が 10秒間のベンチプレスを繰り返して 最適な負荷で実行しました
- 予備試験には,最大1回 (1RM),最大理論速度 (Vo),速度低下率 (MNRslope) が含まれていた.
- 回復は,異なる休憩間隔 (30秒から5分) で評価され,パワーカーブとニューラルネットワークアプローチを使用してモデル化されました.
主要な成果:
- セット間の初期性能の95%を回復する時間は,MNRslopeとVo (R2 = 0. 68,p < 0. 01) によって著しく影響された.
- 神経ネットワークモデルは回復時間の予測精度を改善しました (R2 = 0.900.99).
- MNRスロープとVoは個人の回収能力の重要な決定因子です.
結論:
- 爆発的なベンチプレス運動中の回復能力の信頼できる指標は,バーベルの速度減少率と最大理論速度です.
- これらのパラメータは,個々の回復率を推定し,最適な休憩間隔を処方するために利用できます.
- このモデリングアプローチは,強さとコンディショニングプログラムをパーソナライズするための貴重なツールを提供します.
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