Open AccessStatistical Considerations for Exercise Protocols Aimed at Measuring Trainability
Author(s) -
Sarah Voisin,
Jacques Michaux,
Alejandro Lucía,
David Bishop,
Nir Ey
Publication year - 2019
Publication title -
exercise and sport sciences reviews
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.945
H-Index - 99
eISSN - 1538-3008
pISSN - 0091-6331
DOI - 10.1249/jes.0000000000000176
Subject(s) - measure (data warehouse) , computer science , physical medicine and rehabilitation , medicine , data mining
The individual response to exercise training is of great interest with methods that have been proposed to measure this response reviewed in this paper. However, individual training response estimates may be biased by various sources of variability present in exercise studies, and in particular by within-subject variability. We propose the use of protocols that can separate trainability from within-subject variability.