Internal and External Training Load: 15 Years On

Viru, 2000, Exercise and Sport Science, 67

Delaney, 2018, Quantifying the relationship between internal and external work in team sports: development of a novel training efficiency index, Sci Med Football, 2, 149, 10.1080/24733938.2018.1432885

Marcora, 2009, Mental fatigue impairs physical performance in humans, J Appl Physiol, 106, 857, 10.1152/japplphysiol.91324.2008

Impellizzeri, 2004, Use of RPE-based training load in soccer, Med Sci Sports Exerc, 36, 1042, 10.1249/01.MSS.0000128199.23901.2F

Viru, 2000, Exercise and Sport Science, 67

Impellizzeri, 2004, Use of RPE-based training load in soccer, Med Sci Sports Exerc, 36, 1042, 10.1249/01.MSS.0000128199.23901.2F

Marcora, 2008, Locomotor muscle fatigue increases cardiorespiratory responses and reduces performance during intense cycling exercise independently from metabolic stress, Am J Physiol Regul Integr Comp Physiol, 294, R874, 10.1152/ajpregu.00678.2007

Fan, 2017, Exercise mimetics: impact on health and performance, Cell Metab, 25, 242, 10.1016/j.cmet.2016.10.022

Mann, 2014, High responders and low responders: factors associated with individual variation in response to standardized training, Sports Med, 44, 1113, 10.1007/s40279-014-0197-3

Mujika, 2000, Detraining: loss of training-induced physiological and performance adaptations. Part I: short term insufficient training stimulus., Sports Med, 30, 79, 10.2165/00007256-200030020-00002

Marcora, 2009, Mental fatigue impairs physical performance in humans, J Appl Physiol, 106, 857, 10.1152/japplphysiol.91324.2008

Impellizzeri, 2005, Physiological assessment of aerobic training in soccer, J Sports Sci, 23, 583, 10.1080/02640410400021278

Scott, 2016, Training monitoring for resistance exercise: theory and applications, Sports Med, 46, 687, 10.1007/s40279-015-0454-0

Scott, 2016, Training monitoring for resistance exercise: theory and applications, Sports Med, 46, 687, 10.1007/s40279-015-0454-0

Osgnach, 2010, Energy cost and metabolic power in elite soccer: a new match analysis approach, Med Sci Sports Exerc, 42, 170, 10.1249/MSS.0b013e3181ae5cfd

Foster, 2017, Monitoring training loads: the past, the present, and the future, Int J Sports Physiol Perform, 12, 22, 10.1123/IJSPP.2016-0388

Booth, 1991, Molecular and cellular adaptation of muscle in response to exercise: perspectives of various models, Physiol Rev, 71, 541, 10.1152/physrev.1991.71.2.541

Meyer, 1999, Is determination of exercise intensities as percentages of VO2max or HRmax adequate?, Med Sci Sports Exerc, 31, 1342, 10.1097/00005768-199909000-00017

Fan, 2017, Exercise mimetics: impact on health and performance, Cell Metab, 25, 242, 10.1016/j.cmet.2016.10.022

Vellers, 2018, Inter-individual variation in adaptations to endurance and resistance exercise training: genetic approaches towards understanding a complex phenotype, Mamm Genome, 29, 48, 10.1007/s00335-017-9732-5

Cardinale, 2017, Wearable training-monitoring technology: applications, challenges, and opportunities, Int J Sports Physiol Perform, 12, S255, 10.1123/ijspp.2016-0423

Buchheit, 2013, High-intensity interval training, solutions to the programming puzzle. Part II: anaerobic energy, neuromuscular load and practical applications., Sports Med, 43, 927, 10.1007/s40279-013-0066-5

Smith, 2003, A framework for understanding the training process leading to elite performance, Sports Med, 33, 1103, 10.2165/00007256-200333150-00003

Cardinale, 2017, Wearable training-monitoring technology: applications, challenges, and opportunities, Int J Sports Physiol Perform, 12, S255, 10.1123/ijspp.2016-0423

Coutts, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 19

Osgnach, 2010, Energy cost and metabolic power in elite soccer: a new match analysis approach, Med Sci Sports Exerc, 42, 170, 10.1249/MSS.0b013e3181ae5cfd

Meyer, 1999, Is determination of exercise intensities as percentages of VO2max or HRmax adequate?, Med Sci Sports Exerc, 31, 1342, 10.1097/00005768-199909000-00017

Vellers, 2018, Inter-individual variation in adaptations to endurance and resistance exercise training: genetic approaches towards understanding a complex phenotype, Mamm Genome, 29, 48, 10.1007/s00335-017-9732-5

Smith, 2003, A framework for understanding the training process leading to elite performance, Sports Med, 33, 1103, 10.2165/00007256-200333150-00003

Coutts, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 19

Halson, 2014, Monitoring training load to understand fatigue in athletes, Sports Med, 44, S139, 10.1007/s40279-014-0253-z

Kyrolainen, 2005, Changes in muscle activity with increasing running speed, J Sports Sci, 23, 1101, 10.1080/02640410400021575

Impellizzeri, 2005, Physiological assessment of aerobic training in soccer, J Sports Sci, 23, 583, 10.1080/02640410400021278

Bouchard, 2011, Genomics and genetics in the biology of adaptation to exercise, Compr Physiol, 1, 1603, 10.1002/cphy.c100059

Buchheit, 2013, High-intensity interval training, solutions to the programming puzzle. Part II: anaerobic energy, neuromuscular load and practical applications., Sports Med, 43, 927, 10.1007/s40279-013-0066-5

Bouchard, 2011, Genomics and genetics in the biology of adaptation to exercise, Compr Physiol, 1, 1603, 10.1002/cphy.c100059

Marcora, 2008, Locomotor muscle fatigue increases cardiorespiratory responses and reduces performance during intense cycling exercise independently from metabolic stress, Am J Physiol Regul Integr Comp Physiol, 294, R874, 10.1152/ajpregu.00678.2007

Kyrolainen, 2005, Changes in muscle activity with increasing running speed, J Sports Sci, 23, 1101, 10.1080/02640410400021575

Mujika, 2000, Detraining: loss of training-induced physiological and performance adaptations. Part I: short term insufficient training stimulus., Sports Med, 30, 79, 10.2165/00007256-200030020-00002

Delaney, 2018, Quantifying the relationship between internal and external work in team sports: development of a novel training efficiency index, Sci Med Football, 2, 149, 10.1080/24733938.2018.1432885

Vollaard, 2009, Systematic analysis of adaptations in aerobic capacity and submaximal energy metabolism provides a unique insight into determinants of human aerobic performance, J Appl Physiol, 106, 1479, 10.1152/japplphysiol.91453.2008

Vollaard, 2009, Systematic analysis of adaptations in aerobic capacity and submaximal energy metabolism provides a unique insight into determinants of human aerobic performance, J Appl Physiol, 106, 1479, 10.1152/japplphysiol.91453.2008

Jeffries, 2017, Quantifying training loads in contemporary dance, Int J Sports Physiol Perform, 12, 796, 10.1123/ijspp.2016-0159

Booth, 1991, Molecular and cellular adaptation of muscle in response to exercise: perspectives of various models, Physiol Rev, 71, 541, 10.1152/physrev.1991.71.2.541

Halson, 2014, Monitoring training load to understand fatigue in athletes, Sports Med, 44, S139, 10.1007/s40279-014-0253-z

Jeffries, 2017, Quantifying training loads in contemporary dance, Int J Sports Physiol Perform, 12, 796, 10.1123/ijspp.2016-0159

Foster, 2017, Monitoring training loads: the past, the present, and the future, Int J Sports Physiol Perform, 12, 22, 10.1123/IJSPP.2016-0388

Mann, 2014, High responders and low responders: factors associated with individual variation in response to standardized training, Sports Med, 44, 1113, 10.1007/s40279-014-0197-3