アンソポメトリーと血液動力学を用いて下肢の血流制限圧を予測する方法論的アプローチ
Onur Mutlu Yaşar1, Veli Volkan Gürses2, Ali Erdem Ciğerci3
1Faculty of Health Sciences, Izmir Demokrasi University, Izmir 35140, Türkiye.
Life (Basel, Switzerland)
|August 28, 2025
まとめ
血流制限 (BFR) トレーニングは,安全性と有効性のために正確な肢閉圧 (LOP) の識別を必要とします. この研究では,ボディ・マス・インデックス (BMI) がLOPの重要な予測因子であり,個別化されたBFRの適用を改善しました.
科学分野:
- スポーツ科学
- 運動 生理学
- リハビリテーション医学
背景:
- KAATSUとして知られる 血流制限 (BFR) トレーニングは スポーツ科学で流行しています
- 手足の閉塞圧 (LOP) の正確な識別は,BFRトレーニングの可用性と安全性にとって不可欠です.
- LOPを決定するための既存の方法は,十分に個別化されていないかもしれません.
研究 の 目的:
- 手動技術を用いて個別化されたLOPを推定するための予測モデルを開発し,検証する.
- 人体測定変数 (血圧,脂肪率,四肢周長,BMI) がLOPに与える影響を調べる.
- これらの変数に基づいてLOPを予測するための回帰方程式を確立する.
主な方法:
- 158人の健康な成人の男性を対象とした横断的な研究です.
- 特定の健康状態や薬物使用の参加者を除外する.
- アントロポメトリックデータとLOPの関係を決定するための相関分析と回帰モデリング.
主要な成果:
- 体重指数 (BMI) はLOPの有意な予測因子として特定され,四肢周長と体脂肪率を上回った.
- 開発された回帰モデルは,LOP (R2 = 0.18) の偏差の18%を説明した.
- このモデルは,推定の標準誤差 (SEE) が20.5mmHgで,適度な予測能力を示した.
結論:
- BMIは,BFRトレーニングにおける個別化されたLOPを予測するための貴重な人体測定法です.
- 血管系因子とBFR装置技術に関するさらなる研究は,強化された圧力校正のために推奨されます.
- 改善されたLOP校正は,個別化されたBFRトレーニングプロトコルの有効性と安全性を最適化できます.
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