Evaluation of Influencing Factors on the Maximum Climbing Specific Holding Time: An Inferential Statistics and Machine Learning Approach

Evaluation of Influencing Factors on the Maximum Climbing Specific Holding Time: An Inferential Statistics and Machine Learning Approach

Handgrip strength (HGS) appears to be an indicator of climbing performance. The transferability of HGS measurements obtained using a hand dynamometer and factors that influence the maximal climbing-specific holding time (CSHT) are largely unclear. Forty-eight healthy subjects (27 female, 21 male; ag...

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Bibliographic Details
Main Authors: Carlo Dindorf, Eva Bartaguiz, Jonas Dully, Max Sprenger, Anna Merk, Stephan Becker, Michael Fröhlich, Oliver Ludwig
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Functional Morphology and Kinesiology
Subjects:
climbing
exhaustion
fatigue
training
machine learning
sports
Online Access:https://www.mdpi.com/2411-5142/7/4/95

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