Abstract
Purpose
The aim of the present study was to investigate (i) how glycolytic metabolism assessed by accumulated oxygen deficit (AODgly) and blood metabolic responses (lactate and pH) resulting from high-intensity exercise change during growth, and (ii) how lean body mass (LBM) influences AODgly and its relationship with blood markers.
Methods
Thirty-six 11- to 17-year olds performed a 60-s all-out test on a rowing ergometer. Allometric modelling was used to investigate the influence of LBM and LBM + maturity offset (MO) on AODgly and its relationship with the extreme post-exercise blood values of lactate ([La]max) and pH (pHmin) obtained during the recovery period.
Results
AODgly and [La]max increased while pHmin decreased linearly with LBM and MO (r2 = 0.46 to 0.72, p < 0.001). Moreover, AODgly was positively correlated with [La]max (r2 = 0.75, p < 0.001) and negatively correlated with pHmin (r2 = 0.77, p < 0.001). When AODgly was scaled for LBM, the coefficients of the relationships with blood markers drastically decreased by three to four times ([La]max: r2 = 0.24, p = 0.002; pHmin: r2 = 0.30, p < 0.001). Furthermore, by scaling AODgly for LBM + MO, the correlation coefficients with blood markers became even lower ([La]max: r2 = 0.12, p = 0.037; pHmin: r2 = 0.18, p = 0.009). However, MO-related additional changes accounted much less than LBM for the relationships between AODgly and blood markers.
Conclusion
The results challenge previous reports of maturation-related differences in glycolytic energy turnover and suggest that changes in lean body mass are a more powerful influence than maturity status on glycolytic metabolism during growth.
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Abbreviations
- AODgly :
-
Glycolysis-derived accumulated oxygen deficit
- AODtot :
-
Total accumulated oxygen deficit
- APHV:
-
Age at peak height velocity
- [BE]min :
-
Minimal base excess concentration
- BF:
-
Body fat
- BM:
-
Body mass
- BMI:
-
Body mass index
- CA:
-
Chronological age
- [HCO3−]min :
-
Minimal bicarbonate concentration
- HRmax :
-
Maximal heart rate
- LBM:
-
Lean body mass
- [La]max :
-
Maximal lactate concentration
- MO:
-
Maturity offset
- MPO:
-
Mean power output
- pHmin :
-
Minimal pH
- PV̇̇O2max :
-
Power at maximal oxygen uptake
- OEphos+ox :
-
Phosphagen- and blood O2 stores-derived oxygen equivalent
- \({\dot{\text{V}}\text{O}}\) 2max :
-
Maximal oxygen uptake
References
Armon Y, Cooper DM, Flores R, Zanconato S, Barstow TJ (1991) Oxygen uptake dynamics during high-intensity exercise in children and adults. J Appl Physiol 70:841–848. https://doi.org/10.1152/jappl.1991.70.2.841
Armstrong N, Welsman JO (2019) Sex-specific longitudinal modeling of short-term power in 11- to 18-year-olds. Med Sci Sports Exerc 51:1055–1063. https://doi.org/10.1249/mss.0000000000001864
Bangsbø J, Michalsik L, Petersen A (1993) Accumulated O2 deficit during intense exercise and muscle characteristics of elite athletes. Int J Sports Med 14:207–213. https://doi.org/10.1055/s-2007-1021165
Beneke R, Pollmann C, Bleif I, Leithauser RM, Hutler M (2002) How anaerobic is the Wingate Anaerobic Test for humans? Eur J Appl Physiol 87:388–392. https://doi.org/10.1007/s00421-002-0622-4
Berg A, Kim SS, Keul J (1986) Skeletal muscle enzyme activities in healthy young subjects. Int J Sports Med 7:236–239. https://doi.org/10.1055/s-2008-1025766
Birat A et al (2020) Effect of drop height on vertical jumping performance in pre-, circa-, and post-pubertal boys and girls. Pediatr Exerc Sci 32:23–29
Carlson JS, Naughton GA (1993) An examination of the anaerobic capacity of children using maximal accumulated oxygen deficit. Pediatr Exerc Sci 5:60–71
Carvalho HM, Coelho-e-Silva M, Valente-dos-Santos J, Goncalves RS, Philippaerts R, Malina R (2012) Scaling lower-limb isokinetic strength for biological maturation and body size in adolescent basketball players. Eur J Appl Physiol 112:2881–2889. https://doi.org/10.1007/s00421-011-2259-7
di Prampero PE (1981) Energetics of muscular exercise. Rev Physiol Biochem Pharmacol 89:143–222. https://doi.org/10.1007/bfb0035266
Emmett B, Hochachka PW (1981) Scaling of oxidative and glycolytic enzymes in mammals. Respir Physiol 45:261–272
Eriksson BO, Karlsson J, Saltin B (1971) Muscle metabolites during exercise in pubertal boys. Acta Paediatr Scand Suppl 217:154–157
Eriksson BO, Gollnick PD, Saltin B (1973) Muscle metabolism and enzyme activities after training in boys 11-13 years old. Acta Physiol Scand 87:485–497. https://doi.org/10.1111/j.1748-1716.1973.tb05415.x
Falgairette G, Bedu M, Fellmann N, Van-Praagh E, Coudert J (1991) Bio-energetic profile in 144 boys aged from 6 to 15 years with special reference to sexual maturation. Eur J Appl Physiol Occup Physiol 62:151–156
Fellmann N, Bedu M, Spielvogel H, Falgairette G, Van Praagh E, Jarrige JF, Coudert J (1988) Anaerobic metabolism during pubertal development at high altitude. J Appl Physiol 64(1985):1382–1386. https://doi.org/10.1152/jappl.1988.64.4.1382
Fransen J et al (2018) Improving the prediction of maturity from anthropometric variables using a maturity ratio. Pediatr Exerc Sci 30:296–307. https://doi.org/10.1123/pes.2017-0009
Gastin PB (2001) Energy system interaction and relative contribution during maximal exercise. Sports Med 31:725–741
Gollnick PD, Armstrong RB, Saubert CWT, Piehl K, Saltin B (1972) Enzyme activity and fiber composition in skeletal muscle of untrained and trained men. J Appl Physiol 33:312–319. https://doi.org/10.1152/jappl.1972.33.3.312
Green S, Dawson BT (1996) Methodological effects on the VO2-power regression and the accumulated O2 deficit. Med Sci Sports Exerc 28:392–397
Hebestreit H, Meyer F, Htay H, Heigenhauser GJ, Bar-Or O (1996) Plasma metabolites, volume and electrolytes following 30-s high-intensity exercise in boys and men. Eur J Appl Physiol Occup Physiol 72:563–569
Jensen-Urstad M, Svedenhag J, Sahlin K (1994) Effect of muscle mass on lactate formation during exercise in humans. Eur J Appl Physiol Occup Physiol 69:189–195. https://doi.org/10.1007/bf01094787
Kaczor JJ, Ziolkowski W, Popinigis J, Tarnopolsky MA (2005) Anaerobic and aerobic enzyme activities in human skeletal muscle from children and adults. Pediatr Res 57:331–335. https://doi.org/10.1203/01.PDR.0000150799.77094.DE
Kappenstein J, Engel F, Fernandez-Fernandez J, Ferrauti A (2015) Effects of active and passive recovery on blood lactate and blood pH after a repeated sprint protocol in children and adults. Pediatr Exerc Sci 27:77–84. https://doi.org/10.1123/pes.2013-0187
Maciejewski H, Bourdin M, Lacour JR, Denis C, Moyen B, Messonnier L (2013) Lactate accumulation in response to supramaximal exercise in rowers. Scand J Med Sci Sports 23:585–592. https://doi.org/10.1111/j.1600-0838.2011.01423.x
Maciejewski H, Rahmani A, Chorin F, Lardy J, Giroux C, Ratel S (2016) The 1,500-m rowing performance is highly dependent on modified wingate anaerobic test performance in national-level adolescent rowers. Pediatr Exerc Sci 28:572–579. https://doi.org/10.1123/pes.2015-0283
Mader A, Hartmann U, Hollmann W (1988) Der Einfluß der Ausdauer auf die 6 minütige maximale anaerobe und aerobe Arbeitskapazität eines Eliteruderers. In: Rudern. Springer, Berlin, Heidelberg, pp 62–78
Medbø JI, Mohn AC, Tabata I, Bahr R, Vaage O, Sejersted OM (1988) Anaerobic capacity determined by maximal accumulated O2 deficit. J Appl Physiol 64:50–60. https://doi.org/10.1152/jappl.1988.64.1.50
Mirwald RL, Baxter-Jones AD, Bailey DA, Beunen GP (2002) An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc 34:689–694
Naughton GA, Carlson JS, Buttifant DC, Selig SE, Meldrum K, McKenna MJ, Snow RJ (1997) Accumulated oxygen deficit measurements during and after high-intensity exercise in trained male and female adolescents. Eur J Appl Physiol Occup Physiol 76:525–531. https://doi.org/10.1007/s004210050285
Nevill AM, Holder RL (1994) Modelling maximum oxygen uptake—a case-study in nonlinear regression model formulation and comparison. Appl Statist 43:653–666
Nevill AM, Ramsbottom R, Williams C (1992) Scaling physiological measurements for individuals of different body size. Eur J Appl Physiol Occup Physiol 65:110–117
Paterson DH, Cunningham DA, Bumstead LA (1986) Recovery O2 and blood lactic acid: longitudinal analysis in boys aged 11 to 15 years. Eur J Appl Physiol Occup Physiol 55:93–99
Ratel S, Martin V (2012) Les exercices anaérobies lactiques chez les enfants: la fin d’une idée reçue? Sci Sports 27:195–200. https://doi.org/10.1016/j.scispo.2011.08.004
Ratel S, Duche P, Hennegrave A, Van Praagh E, Bedu M (2002) Acid-base balance during repeated cycling sprints in boys and men. J Appl Physiol 92(1985):479–485. https://doi.org/10.1152/japplphysiol.00495.2001
Ratel S, Williams CA, Oliver J, Armstrong N (2004) Effects of age and mode of exercise on power output profiles during repeated sprints. Eur J Appl Physiol 92:204–210. https://doi.org/10.1007/s00421-004-1081-x
Saltin B (1990) Anaerobic capacity: past, present and prospective Biochemistry of exercise VII 21:387-421
Shargal E, Kislev-Cohen R, Zigel L, Epstein S, Pilz-Burstein R, Tenenbaum G (2015) Age-related maximal heart rate: examination and refinement of prediction equations. J Sports Med Phys Fitness 55:1207–1218
Slaughter MH, Lohman TG, Boileau RA, Horswill CA, Stillman RJ, Van Loan MD, Bemben DA (1988) Skinfold equations for estimation of body fatness in children and youth. Hum Biol 60:709–723
Tanner JM, Hughes PC, Whitehouse RH (1981) Radiographically determined widths of bone muscle and fat in the upper arm and calf from age 3–18 years. Ann Hum Biol 8:495–517. https://doi.org/10.1080/03014468100005351
Van Praagh E, Dore E (2002) Short-term muscle power during growth and maturation. Sports Med 32:701–728
Acknowledgements
The authors thank Matthieu Chapron, Adrien Druenne, Nathalie Capelle, all rowers for their participation, and the Club of Aviron Marne Joinville for their welcome, technical assistance and availability during this study.
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AD, SR, CT, and HM conceived and designed research. AD, SR, JB, CT and HM conducted experiments and collected data. AD, SR, QDL and HM analysed data. AD, SR, NA, CT and HM wrote the manuscript. AD, SR, JB, QDL, NA, CT and HM provided critical revisions important for intellectual content of the finished manuscript, approved the final version of the manuscript, and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed.
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Diry, A., Ratel, S., Bardin, J. et al. Importance of dimensional changes on glycolytic metabolism during growth. Eur J Appl Physiol 120, 2137–2146 (2020). https://doi.org/10.1007/s00421-020-04436-z
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DOI: https://doi.org/10.1007/s00421-020-04436-z