Jeffries AC, Wallace L, Coutts AJ, et al. Athlete-reported outcome measures for monitoring training responses: a systematic review of risk of bias and measurement property quality according to the COSMIN guidelines. Int J Sports Physiol Perform. 2020;15(9):1203–15. https://doi.org/10.1123/ijspp.2020-0386.
Article
Google Scholar
Maxwell JA. Conceptual framework: what do you think is going on? Qualitative research design: an interactive approach. 2nd ed. Thousand Oaks: SAGE Publications; 2005.
Google Scholar
Victora CG, Huttly SR, Fuchs SC, et al. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224–7. https://doi.org/10.1093/ije/26.1.224.
CAS
Article
PubMed
Google Scholar
Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15(5):615–25. https://doi.org/10.1097/01.ede.0000135174.63482.43.
Article
PubMed
Google Scholar
Greenland S, Brumback B. An overview of relations among causal modelling methods. Int J Epidemiol. 2002;31(5):1030–7. https://doi.org/10.1093/ije/31.5.1030.
Article
PubMed
Google Scholar
VanderWeele TJ, Robins JM. Four types of effect modification: a classification based on directed acyclic graphs. Epidemiology. 2007;18(5):561–8. https://doi.org/10.1097/EDE.0b013e318127181b.
Article
PubMed
Google Scholar
Cole SR, Platt RW, Schisterman EF, et al. Illustrating bias due to conditioning on a collider. Int J Epidemiol. 2009;39(2):417–20. https://doi.org/10.1093/ije/dyp334.
Article
PubMed
PubMed Central
Google Scholar
Impellizzeri F, Marcora S. Test validation in sport physiology: lessons learned from clinimetrics. Int J Sports Physiol Perform. 2009;4:269–77. https://doi.org/10.1123/ijspp.4.2.269.
Article
PubMed
Google Scholar
Gimeno-Santos E, Frei A, Dobbels F, et al. Validity of instruments to measure physical activity may be questionable due to a lack of conceptual frameworks: a systematic review. Health Qual Life Outcomes. 2011;9(1):86. https://doi.org/10.1186/1477-7525-9-86.
Article
PubMed
PubMed Central
Google Scholar
de Vet HCW, Terwee CB, Mokkink LB, et al. Measurement in medicine: a practical guide. Cambridge: Cambridge University Press; 2011.
Book
Google Scholar
Camp WG. Formulating and evaluating theoretical frameworks for career and technical education research. J Vocat Educ Train. 2001;26(1):27–39.
Google Scholar
Rothman ML, Beltran P, Cappelleri JC, et al. Patient-reported outcomes: conceptual issues. Value Health. 2007;10(Suppl 2):S66-75. https://doi.org/10.1111/j.1524-4733.2007.00269.x.
Article
PubMed
Google Scholar
Wilson IB, Cleary PD. Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes. J Am Med Assoc. 1995;273(1):59–65.
CAS
Article
Google Scholar
Smoliga JM, Zavorsky GS. Team logo predicts concussion risk: lessons in protecting a vulnerable sports community from misconceived, but highly publicized epidemiologic research. Epidemiology. 2017;28(5):753–7. https://doi.org/10.1097/ede.0000000000000694.
Article
PubMed
Google Scholar
Impellizzeri FM, Rampinini E, Marcora SM. Physiological assessment of aerobic training in soccer. J Sports Sci. 2005;23(6):583–92. https://doi.org/10.1080/02640410400021278.
Article
PubMed
Google Scholar
Impellizzeri FM, Marcora SM, Coutts AJ. Internal and external training load: 15 years on. Int J Sports Physiol Perform. 2019;14(2):270–3. https://doi.org/10.1123/ijspp.2018-0935.
Article
PubMed
Google Scholar
Viru A, Viru M. Nature of training effects. Exercise and sport science. Philadelphia: Lippincott Williams and Wilkins; 2000.
Google Scholar
Bhattacherjee A. Social science research: principles, methods, and practices. Textbooks collection, vol. 3. South Florida: Global Text Project; 2012.
Google Scholar
Lakens D. Pandemic researchers—recruit your own best critics. Nature. 2020;581(7807):121. https://doi.org/10.1038/d41586-020-01392-8.
CAS
Article
PubMed
Google Scholar
Vanrenterghem J, Nedergaard NJ, Robinson MA, et al. Training load monitoring in team sports: a novel framework separating physiological and biomechanical load-adaptation pathways. Sports Med. 2017;47(11):2135–42. https://doi.org/10.1007/s40279-017-0714-2.
Article
PubMed
Google Scholar
Herold F, Torpel A, Hamacher D, et al. a discussion on different approaches for prescribing physical interventions—four roads lead to Rome, but which one should we choose? J Pers Med. 2020. https://doi.org/10.3390/jpm10030055.
Article
PubMed
PubMed Central
Google Scholar
Sassi A. Allenamento e sovrallenamento. Milan: EdiErmes; 1997.
Google Scholar
Matveyev L. Fundamentals of sports training. Moscow: Fizkultura i Sport Publ; 1977.
Google Scholar
Morton RH, Fitz-Clarke JR, Banister EW. Modeling human performance in running. J Appl Physiol. 1990;69(3):1171–7. https://doi.org/10.1152/jappl.1990.69.3.1171.
CAS
Article
PubMed
Google Scholar
Calvert TW, Banister EW, Savage MV, et al. A systems model of the effects of training on physical performance. IEEE Trans Syst Man Cybern B. 1976;SMC-6(2):94–102. https://doi.org/10.1109/TSMC.1976.5409179.
Article
Google Scholar
Perl J. PerPot: a metamodel for simulation of load performance interaction. Eur J Sport Sci. 2001;1(2):1–13. https://doi.org/10.1080/17461390100071202.
Article
Google Scholar
Perl J. PerPot—a meta-model and software tool for analysis and optimisation of load-performance-interaction. Int J Perform Anal Sport. 2004;4(2):61–73. https://doi.org/10.1080/24748668.2004.11868305.
Article
Google Scholar
Busso T. Variable dose–response relationship between exercise training and performance. Med Sci Sports Exerc. 2003;35(7):1188–95. https://doi.org/10.1249/01.Mss.0000074465.13621.37.
Article
PubMed
Google Scholar
Busso T, Carasso C, Lacour JR. Adequacy of a systems structure in the modeling of training effects on performance. J Appl Physiol. 1991;71(5):2044–9. https://doi.org/10.1152/jappl.1991.71.5.2044.
CAS
Article
PubMed
Google Scholar
Meeusen R, Duclos M, Foster C, et al. Prevention, diagnosis, and treatment of the overtraining syndrome: joint consensus statement of the European College of Sport Science and the American College of Sports Medicine. Med Sci Sports Exerc. 2013;45(1):186–205. https://doi.org/10.1249/MSS.0b013e318279a10a.
Article
PubMed
Google Scholar
Wilder RP, Greene JA, Winters KL, et al. Physical fitness assessment: an update. J Long Term Eff Med Implants. 2006;16(2):193–204. https://doi.org/10.1615/jlongtermeffmedimplants.v16.i2.90.
Article
PubMed
Google Scholar
American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription. 8th ed. Philadelphia: Lippincott Williams & Wilkins; 2002.
Google Scholar
Edwards RHT. Biochemical basis of fatigue in exercise performance. Champaign: Human Kinetics; 1983.
Google Scholar
Lewis G, Wessely S. The epidemiology of fatigue: more questions than answers. J Epidemiol Commun Health. 1992;46(2):92–7. https://doi.org/10.1136/jech.46.2.92.
CAS
Article
Google Scholar
Coutts AJ, Crowcroft S, Kempton T. Developing athlete monitoring systems: theoretical basis and practical applications. In: Kellmann M, Beckman J, editors. Sport, recovery, and performance: interdisciplinary insights. Taylor & Francis; 2017.
Google Scholar
Enoka RM, Duchateau J. Translating fatigue to human performance. Med Sci Sports Exerc. 2016;48(11):2228–38. https://doi.org/10.1249/mss.0000000000000929.
Article
PubMed
PubMed Central
Google Scholar
Morgan WP, Brown DR, Raglin JS, et al. Psychological monitoring of overtraining and staleness. Br J Sports Med. 1987;21(3):107–14. https://doi.org/10.1136/bjsm.21.3.107.
CAS
Article
PubMed
PubMed Central
Google Scholar
Peake JM, Neubauer O, Della Gatta PA, et al. Muscle damage and inflammation during recovery from exercise. J Appl Physiol. 2017;122(3):559–70. https://doi.org/10.1152/japplphysiol.00971.2016.
CAS
Article
PubMed
Google Scholar
Clarke D, Skiba P. Rationale and resources for teaching the mathematical modeling of athletic training and performance. Adv Physiol Educ. 2013;37(2):134–52.
Article
PubMed
Google Scholar
Endler S, Hoffmann S, Sterzing B, et al. The PerPot simulated anaerobic threshold—a comparison to typical lactate-based thresholds. Int J Hum Mov Sports Sci. 2017;5(1):9–15. https://doi.org/10.13189/saj.2017.050102.
Article
Google Scholar
Halson SL. Monitoring training load to understand fatigue in athletes. Sports Med. 2014;44(Suppl 2):139–47. https://doi.org/10.1007/s40279-014-0253-z.
Article
PubMed Central
Google Scholar
McLaren SJ, Macpherson TW, Coutts AJ, et al. The relationships between internal and external measures of training load and intensity in team sports: a meta-analysis. Sports Med. 2018;48(3):641–58. https://doi.org/10.1007/s40279-017-0830-z.
Article
PubMed
Google Scholar
Kalkhoven JT, Watsford ML, Coutts AJ, et al. Training load and injury: causal pathways and future directions. Sports Med. 2021;51(6):1137–50. https://doi.org/10.1007/s40279-020-01413-6.
Article
PubMed
Google Scholar
Tanner RK, Gore CJ, Sport AIo. Physiological tests for elite athletes. vol. Champaign: Human Kinetics; 2013. Accessed from https://nla.gov.au/nla.cat-vn6220329.
Luebbers PE, Potteiger JA, Hulver MW, et al. Effects of plyometric training and recovery on vertical jump performance and anaerobic power. J Strength Cond Res. 2003;17(4):704–9. https://doi.org/10.1519/1533-4287(2003)017%3c0704:eoptar%3e2.0.co;2.
Article
PubMed
Google Scholar
Morin JB, Capelo-Ramirez F, Rodriguez-Pérez MA, et al. Individual adaptation kinetics following heavy resisted sprint training. J Strength Cond Res. 2020. https://doi.org/10.1519/jsc.0000000000003546 (ahead of print).
Article
Google Scholar
Coffey V, Hawley J. The molecular bases of training adaptation. Sports Med. 2007;37:737–63. https://doi.org/10.2165/00007256-200737090-00001.
Article
PubMed
Google Scholar
Thomas K, Brownstein CG, Dent J, et al. Neuromuscular fatigue and recovery after heavy resistance, jump, and sprint training. Med Sci Sports Exerc. 2018;50(12):2526–35. https://doi.org/10.1249/mss.0000000000001733.
Article
PubMed
Google Scholar
Knuiman P, Hopman MTE, Mensink M. Glycogen availability and skeletal muscle adaptations with endurance and resistance exercise. Nutr Metab. 2015;12(1):59. https://doi.org/10.1186/s12986-015-0055-9.
CAS
Article
Google Scholar
Baar K, McGee S. Optimizing training adaptations by manipulating glycogen. Eur J Sport Sci. 2008;8(2):97–106. https://doi.org/10.1080/17461390801919094.
Article
Google Scholar
Bartlett JD, Hawley JA, Morton JP. Carbohydrate availability and exercise training adaptation: too much of a good thing? Eur J Sport Sci. 2015;15(1):3–12. https://doi.org/10.1080/17461391.2014.920926.
Article
PubMed
Google Scholar
Fitzpatrick JF, Akenhead R, Russell M, et al. Sensitivity and reproducibility of a fatigue response in elite youth football players. Sci Med Footb. 2019;3(3):214–20. https://doi.org/10.1080/24733938.2019.1571685.
Article
Google Scholar
Ade JD, Drust B, Morgan OJ, et al. Physiological characteristics and acute fatigue associated with position-specific speed endurance soccer drills: production vs maintenance training. Sci Med Footb. 2020. https://doi.org/10.1080/24733938.2020.1789202.
Article
PubMed
Google Scholar
Sparkes W, Turner AN, Weston M, et al. The effect of training order on neuromuscular, endocrine and mood response to small-sided games and resistance training sessions over a 24-h period. J Sci Med Sport. 2020;23(9):866–71. https://doi.org/10.1016/j.jsams.2020.01.017.
CAS
Article
PubMed
Google Scholar
Clarke N, Farthing JP, Lanovaz JL, et al. Direct and indirect measurement of neuromuscular fatigue in Canadian football players. Appl Physiol Nutr Metab. 2015;40(5):464–73. https://doi.org/10.1139/apnm-2014-0465.
Article
PubMed
Google Scholar
AIS AIoS. Prescription of training load in relation to loading and unloading phases of training. 2nd ed. Bruce: Australian Sports Commission; 2020.
Google Scholar
Behm DG, Young JD, Whitten JHD, et al. Effectiveness of traditional strength vs. power training on muscle strength, power and speed with youth: a systematic review and meta-analysis. Front Physiol. 2017;8:423. https://doi.org/10.3389/fphys.2017.00423.
Article
PubMed
PubMed Central
Google Scholar
Speirs DE, Bennett MA, Finn CV, et al. Unilateral vs. bilateral squat training for strength, sprints, and agility in academy rugby players. J Strength Cond Res. 2016;30(2):386–92. https://doi.org/10.1519/jsc.0000000000001096.
Article
PubMed
Google Scholar
Moran J, Paxton K, Jones B, et al. Variable long-term developmental trajectories of short sprint speed and jumping height in English Premier League academy soccer players: an applied case study. J Sports Sci. 2020. https://doi.org/10.1080/02640414.2020.1792689.
Article
PubMed
Google Scholar
Fanchini M, Schena F, Castagna C, et al. External responsiveness of the Yo-Yo IR test level 1 in high-level male soccer players. Int J Sports Med. 2015;36(9):735–41. https://doi.org/10.1055/s-0035-1547223.
CAS
Article
PubMed
Google Scholar
Jones AM, Carter H. The effect of endurance training on parameters of aerobic fitness. Sports Med. 2000;29(6):373–86. https://doi.org/10.2165/00007256-200029060-00001.
CAS
Article
PubMed
Google Scholar
Tolfrey K, Hansen SA, Dutton K, et al. Physiological correlates of 2-mile run performance as determined using a novel on-demand treadmill. Appl Physiol Nutr Metab Physiologie appliquee, nutrition et metabolisme. 2009;34(4):763–72. https://doi.org/10.1139/h09-069.
Article
PubMed
Google Scholar
Joyner MJ, Coyle EF. Endurance exercise performance: the physiology of champions. J Physiol. 2008;586(1):35–44. https://doi.org/10.1113/jphysiol.2007.143834.
CAS
Article
PubMed
Google Scholar
Baird MF, Graham SM, Baker JS, et al. Creatine-kinase- and exercise-related muscle damage implications for muscle performance and recovery. J Nutr Metab. 2012;2012: 960363. https://doi.org/10.1155/2012/960363.
Article
PubMed
PubMed Central
Google Scholar
Berriel GP, Costa RR, da Silva ES, et al. Stress and recovery perception, creatine kinase levels, and performance parameters of male volleyball athletes in a preseason for a championship. Sports Med. 2020;6(1):26. https://doi.org/10.1186/s40798-020-00255-w.
Article
Google Scholar
Marin DP, Bolin AP, Campoio TR, et al. Oxidative stress and antioxidant status response of handball athletes: implications for sport training monitoring. Int Immunopharmacol. 2013;17(2):462–70. https://doi.org/10.1016/j.intimp.2013.07.009.
CAS
Article
PubMed
Google Scholar
Tofari PJ, Kemp JG, Cormack SJ. Measuring the response to simulated fixture congestion in soccer. Sci Med Footb. 2020. https://doi.org/10.1080/24733938.2020.1746824.
Article
Google Scholar
Coutts AJ, Cormack S. Monitoring the training response high-performance training for sports. Champaign: Human Kinetics; 2014.
Google Scholar
Stanley J, Peake JM, Buchheit M. Cardiac parasympathetic reactivation following exercise: implications for training prescription. Sports Med. 2013;43(12):1259–77. https://doi.org/10.1007/s40279-013-0083-4.
Article
PubMed
Google Scholar
Plews DJ, Laursen PB, Stanley J, et al. Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Med. 2013;43(9):773–81. https://doi.org/10.1007/s40279-013-0071-8.
Article
PubMed
Google Scholar
Saw AE, Main LC, Gastin PB. Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review. Br J Sports Med. 2016;50(5):281–91. https://doi.org/10.1136/bjsports-2015-094758.
Article
PubMed
Google Scholar
Hooper SL, Mackinnon LT, Howard A, et al. Markers for monitoring overtraining and recovery. Med Sci Sports Exerc. 1995;27(1):106–12.
CAS
Article
PubMed
Google Scholar
Hooper SL, MacKinnon LT. Monitoring overtraining in athletes. Recomm Sports Med. 1995;20(5):321–7.
CAS
Article
Google Scholar
van Hooff ML, Geurts SA, Kompier MA, et al. “How fatigued do you currently feel?” Convergent and discriminant validity of a single-item fatigue measure. J Occup Health. 2007;49(3):224–34. https://doi.org/10.1539/joh.49.224.
Article
PubMed
Google Scholar
Gawron VJ. Overview of self-reported measures of fatigue. Int J Aviat Psychol. 2016;26(3–4):120–31. https://doi.org/10.1080/10508414.2017.1329627.
Article
Google Scholar
Neuberger GB. Measures of fatigue: The Fatigue Questionnaire, Fatigue Severity Scale, Multidimensional Assessment of Fatigue Scale, and Short Form-36 Vitality (Energy/Fatigue) Subscale of the Short Form Health Survey. Arthritis Care Res. 2003;49(S5):S175–83.
Article
Google Scholar
Akenhead R, Marques JB, Paul DJ. Accelerometer load: a new way to measure fatigue during repeated sprint training? Sci Med Footb. 2017;1(2):151–6. https://doi.org/10.1080/24733938.2017.1330550.
Article
Google Scholar
Decroix L, Piacentini MF, Rietjens G, et al. Monitoring physical and cognitive overload during a training camp in professional female cyclists. Int J Sports Physiol Perform. 2016;11(7):933–9. https://doi.org/10.1123/ijspp.2015-0570.
Article
PubMed
Google Scholar
Hurdiel R, Pezé T, Daugherty J, et al. Combined effects of sleep deprivation and strenuous exercise on cognitive performances during The North Face® Ultra Trail du Mont Blanc® (UTMB®). J Sports Sci. 2015;33(7):670–4. https://doi.org/10.1080/02640414.2014.960883.
Article
PubMed
Google Scholar
Lysenko EA, Popov DV, Vepkhvadze TF, et al. Signaling responses to high and moderate load strength exercise in trained muscle. Physiol Rep. 2019;7(9): e14100. https://doi.org/10.14814/phy2.14100.
CAS
Article
PubMed
PubMed Central
Google Scholar
Coles E, Wells M, Maxwell M, et al. The influence of contextual factors on healthcare quality improvement initiatives: what works, for whom and in what setting? Protocol for a realist review. Syst Rev. 2017;6(1):168. https://doi.org/10.1186/s13643-017-0566-8.
Article
PubMed
PubMed Central
Google Scholar
Durand-Bush N, Salmela JH. The development and maintenance of expert athletic performance: perceptions of World and Olympic champions. J Appl Sport Psychol. 2002;14(3):154–71. https://doi.org/10.1080/10413200290103473.
Article
Google Scholar
Beck KL, Thomson JS, Swift RJ, et al. Role of nutrition in performance enhancement and postexercise recovery. Open Access J Sports Med. 2015;6:259–67. https://doi.org/10.2147/OAJSM.S33605.
Article
PubMed
PubMed Central
Google Scholar
Nédélec M, Halson S, Delecroix B, et al. Sleep hygiene and recovery strategies in elite soccer players. Sports Med. 2015;45(11):1547–59. https://doi.org/10.1007/s40279-015-0377-9.
Article
PubMed
Google Scholar
Chtourou H, Hammouda O, Souissi H, et al. The effect of ramadan fasting on physical performances, mood state and perceived exertion in young footballers. Asian J Sports Med. 2011;2(3):177–85.
Article
PubMed
PubMed Central
Google Scholar
Judge LW, Urbina LJ, Hoover DL, et al. The impact of competitive trait anxiety on collegiate powerlifting performance. J Strength Cond Res. 2016;30(9):2399–405. https://doi.org/10.1519/jsc.0000000000001363.
Article
PubMed
Google Scholar
Caris AV, Santos RVT. Performance and altitude: ways that nutrition can help. Nutrition. 2019;60:35–40. https://doi.org/10.1016/j.nut.2018.09.030.
Article
PubMed
Google Scholar
Burtscher M, Niedermeier M, Burtscher J, et al. Preparation for endurance competitions at altitude: physiological, psychological, dietary and coaching aspects. A narrative review. Front Physiol. 2018;9:1504. https://doi.org/10.3389/fphys.2018.01504.
Article
PubMed
PubMed Central
Google Scholar
Bühlmayer L, Birrer D, Röthlin P, et al. Effects of mindfulness practice on performance-relevant parameters and performance outcomes in sports: a meta-analytical review. Sports Med. 2017;47(11):2309–21. https://doi.org/10.1007/s40279-017-0752-9.
Article
PubMed
Google Scholar
Gould D, Damarjian N, Greenleaf C. Imagery training for peak performance. In: Van Raalte JL, Brewer BW, editors. Exploring sport and exercise psychology. American Psychological Association; 2002. p. 49–74.
Chapter
Google Scholar
Kiely J. Periodization paradigms in the 21st century: evidence-led or tradition-driven? Int J Sports Physiol Perform. 2012;7(3):242. https://doi.org/10.1123/ijspp.7.3.242.
Article
PubMed
Google Scholar
Gigerenzer G, Gaissmaier W. Heuristic decision making. Annu Rev Psychol. 2011;62:451–82. https://doi.org/10.1146/annurev-psych-120709-145346.
Article
PubMed
Google Scholar
Nosek P, Brownlee TE, Drust B, et al. Feedback of GPS training data within professional English soccer: a comparison of decision making and perceptions between coaches, players and performance staff. Sci Med Footb. 2020. https://doi.org/10.1080/24733938.2020.1770320.
Article
PubMed
Google Scholar
Cheung K, Hume P, Maxwell L. Delayed onset muscle soreness: treatment strategies and performance factors. Sports Med. 2003;33:145–64.
Article
PubMed
Google Scholar
McGahan J, Burns C, Lacey S, et al. Relationship between load and readiness to train in a Gaelic football pre-competition training camp. J Aust Stength Cond. 2018;27(1):28–35.
Google Scholar
McGahan J, Burns C, Lacey S, et al. Variation in training load and markers of wellness. J Aust Stength Cond. 2020;27(3):6–14.
Google Scholar
Ryan S, Kempton T, Impellizzeri F, et al. Training monitoring in professional Australian football: theoretical basis and recommendations for coaches and scientists. Sci Med Footb. 2019. https://doi.org/10.1080/24733938.2019.1641212.
Article
Google Scholar
Cullen BD, McCarren AL, Malone S. Ecological validity of self-reported wellness measures to assess pre-training and pre-competition preparedness within elite Gaelic football. Sport Sci Health. 2020. https://doi.org/10.1007/s11332-020-00667-x.
Article
Google Scholar
Mason B, McKune A, Pumpa K, et al. The use of acute exercise interventions as game day priming strategies to improve physical performance and athlete readiness in team-sport athletes: a systematic review. Sports Med. 2020;50(11):1943–62. https://doi.org/10.1007/s40279-020-01329-1.
Article
PubMed
Google Scholar