RT Journal Article
SR Electronic
T1 Precision exercise medicine: understanding exercise response variability
JF British Journal of Sports Medicine
JO Br J Sports Med
FD BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine
SP 1141
OP 1153
DO 10.1136/bjsports-2018-100328
VO 53
IS 18
A1 Ross, Robert
A1 Goodpaster, Bret H
A1 Koch, Lauren G
A1 Sarzynski, Mark A
A1 Kohrt, Wendy M
A1 Johannsen, Neil M
A1 Skinner, James S
A1 Castro, Alex
A1 Irving, Brian A
A1 Noland, Robert C
A1 Sparks, Lauren M
A1 Spielmann, Guillaume
A1 Day, Andrew G
A1 Pitsch, Werner
A1 Hopkins, William G
A1 Bouchard, Claude
YR 2019
UL http://bjsm.bmj.com/content/53/18/1141.abstract
AB There is evidence from human twin and family studies as well as mouse and rat selection experiments that there are considerable interindividual differences in the response of cardiorespiratory fitness (CRF) and other cardiometabolic traits to a given exercise programme dose. We developed this consensus statement on exercise response variability following a symposium dedicated to this topic. There is strong evidence from both animal and human studies that exercise training doses lead to variable responses. A genetic component contributes to exercise training response variability.In this consensus statement, we (1) briefly review the literature on exercise response variability and the various sources of variations in CRF response to an exercise programme, (2) introduce the key research designs and corresponding statistical models with an emphasis on randomised controlled designs with or without multiple pretests and post-tests, crossover designs and repeated measures designs, (3) discuss advantages and disadvantages of multiple methods of categorising exercise response levels—a topic that is of particular interest for personalised exercise medicine and (4) outline approaches that may identify determinants and modifiers of CRF exercise response. We also summarise gaps in knowledge and recommend future research to better understand exercise response variability.