機械学習を用いた持久性アスリートにおける食事パターンに関連するパフォーマンスおよび免疫機能の動的適応の個別化予測モデルの開発
Yun Hou1, Meijia Chen2, Gang Qin3
1School of Physical Education, Shandong Sport University, Rizhao, Shandong, People's Republic of China.
Journal of the International Society of Sports Nutrition
|January 31, 2026
まとめ
心理的レジリエンスは、アスリートが栄養変化に反応する上で重要であり、免疫機能に影響を与える。早期のレジリエンス評価は、ストレスと免疫の健康のための個別化された栄養を導くことができる。
科学分野:
- 精神神経免疫学; スポーツ栄養学; 健康における機械学習
背景:
- 栄養、心理、免疫の間の相互作用は、高ストレス集団ではほとんど理解されていない。; 心理的レジリエンスは、免疫機能と健康転帰に大きく影響する。; この研究は、これらの相互作用を明確にし、個別化された治療法を知らせることを目的とした。
主な方法:
- 12ヶ月にわたる200人の持久性アスリートの後ろ向きコホート分析。; 高炭水化物、高タンパク質、またはバランスの取れた微量栄養素の食事パターンのカテゴリ化。; 心理的変数と免疫マーカー(IL-6、TNF-α、CRP、IgA)を使用して個々の応答を予測するためのSHAP分析を備えたハイブリッドLSTM-XGBoostモデル。
結論:
- 心理的レジリエンスは、精神神経免疫経路を介して食事パターンへの応答性を予測する。; ベースラインの心理的評価は、個別化された栄養戦略を導くために不可欠である。; このアプローチは、慢性的なストレスと免疫不全のある臨床集団にとって不可欠である。
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