The impact of precompetition state on athletic performance among track and field athletes using machine learning
Precompetition absolute basophil, LDH, TG, white blood cells, creatine kinase, fat mass in the left upper limb, erythrocyte pressure (HCT), and individual failure anxiety can be used as training monitoring indicators that focus on tracking athlete status before the race.
Authors
- Dongfeng Nie
- Pengyu Fu (ORCID: https://orcid.org/0000-0001-6706-375X)
- Qingmei Niu (ORCID: https://orcid.org/0009-0002-9595-4597)
- Xiao Dou (ORCID: https://orcid.org/0009-0007-1558-4001)
- Yuting Zhang (ORCID: https://orcid.org/0000-0001-8528-5743)
- Xiaoqin Zhang (ORCID: https://orcid.org/0000-0002-4368-5340)
- Yu Qi
Institutions
- Shanxi Agricultural University (CN)
- Northwestern Polytechnical University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-02-07
- DOI
- https://doi.org/10.3389/fphys.2025.1429510
- Citations
- 2
- Primary Topic
- Sports Performance and Training
- Type
- article
- Field-Weighted Citation Impact
- 3.44
Funders
- Education Department of Shaanxi Province