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February 2, 2026Journal of the International Society of Sports NutritionOpen Access

Development of an individualized prediction model for dynamic adaptations in performance and immune function associated with dietary patterns in endurance athletes using machine learning

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Authors

YHYun HouMCMeijia ChenGQGang Qin

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Overview

Demonstrates the role of psychological resilience in dietary responsiveness among endurance athletes, suggesting personalized nutrition strategies.

Key Points

  • To develop a model predicting how dietary patterns affect performance and immune function in endurance athletes based on psychological resilience.
  • Utilized machine learning algorithms to analyze data from endurance athletes.
  • Assessed participants' baseline psychological resilience.
  • Examined the interplay between dietary patterns and immune function through psychoneuroimmunological pathways.
  • Identified key psychological factors that influence dietary responsiveness.
  • Developed a predictive model that tailors nutrition strategies for improved athletic performance and immune health.

Cite This Study

Hou et al. (2026) studied this question.

synapsesocial.com/papers/6980ff26c1c9540dea811e08https://doi.org/10.1080/15502783.2026.2624377
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