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Core reference ontology for individualized exercise prescription.

Xingyun Liu1,2, Yin Yang1,3, Hui Zong1

  • 1Health Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.

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|December 18, 2024
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Summary

Personalized exercise prescriptions are key for effective "Exercise is Medicine" strategies. The Exercise Medicine Ontology (EXMO) provides a standardized framework to support individualized exercise plans and advance research.

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Area of Science:

  • Biomedical Informatics
  • Exercise Science
  • Ontology Engineering

Background:

  • The "Exercise is Medicine" initiative highlights the need for personalized exercise prescriptions.
  • Current guidelines lack sufficient support for tailoring exercise to individual needs, presenting scientific challenges.
  • Developing standardized frameworks is crucial for advancing personalized exercise medicine.

Purpose of the Study:

  • To develop a comprehensive ontology, the Exercise Medicine Ontology (EXMO), to support personalized exercise prescriptions.
  • To establish a standardized vocabulary and structure for exercise-related data.
  • To facilitate the integration of exercise data into clinical practice and research.

Main Methods:

  • Utilized the Ontology Development 101 methodology and Open Biological and Biomedical Ontology Foundry principles.
  • Compiled data from established guidelines, databases, and scientific articles.
  • Constructed EXMO v1.0 with 434 classes and 9,732 axioms, covering physical activity, health status, and prescription terms.
  • Validated the ontology using ELK and JFact reasoners for expert evaluation and consistency checks.

Main Results:

  • EXMO v1.0 was successfully developed and validated, demonstrating consistency and expert acceptance.
  • The ontology encompasses a wide range of concepts critical for individualized exercise prescription.
  • EXMO provides a robust foundation for standardizing exercise medicine terminology.

Conclusions:

  • EXMO offers a standardized approach to individualized exercise prescription, addressing a critical gap in current guidelines.
  • The ontology has the potential to enhance databases, recommendation systems, and future ontology development in exercise medicine.
  • EXMO serves as a valuable resource for advancing the "Exercise is Medicine" movement through improved data standardization and interoperability.