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Int J Sports Med 2020; 41(08): 545-551
DOI: 10.1055/a-1114-6206
Training & Testing

Effects of Body Weight vs. Lean Body Mass on Wingate Anaerobic Test Performance in Endurance Athletes

Miguel Ángel Galán-Rioja 
1   Sport Training Lab., Faculty of Sport Sciences, University of Castilla-La Mancha, Campus of Toledo, Spain
,
Fernando González-Mohíno 
1   Sport Training Lab., Faculty of Sport Sciences, University of Castilla-La Mancha, Campus of Toledo, Spain
2   Facultad de Lenguas y Educación, Universidad Nebrija, Madrid, Spain
,
Dajo Sanders
3   Human Movement Science, Maastricht University, Maastricht, Netherlands
,
Jesús Mellado
1   Sport Training Lab., Faculty of Sport Sciences, University of Castilla-La Mancha, Campus of Toledo, Spain
,
José María González-Ravé 
1   Sport Training Lab., Faculty of Sport Sciences, University of Castilla-La Mancha, Campus of Toledo, Spain
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Abstract

The aim of this study was to determine the influence of body weight or lean body mass-based load on Wingate Anaerobic Test performance in male and female endurance trained individuals. Thirty-one participants (22 male cyclists and triathletes and 9 female triathletes) completed two randomized Wingate Anaerobic Test (body weight and lean body mass loads) in stationary start. There were no significant differences in power outputs variables between loads in any group. However, when comparing specific groups within the sample (e. g. cyclists vs cyclists) medium to large effect sizes were observed for Relative Mean Power Output (ES=0.53), Relative Lowest Power (ES=0.99) and Relative Power Muscle Mass (ES=0.54). Regarding gender differences, male cyclists and triathletes displayed higher relative and absolute power outputs (p<0.001) compared to female triathletes regardless of the protocol used. FI was lower in female triathletes compared to male triathletes and cyclists in body weight (p<0.001) and lean body mass (p<0.01) protocols. Body composition and anthropometric characteristics were similar in male cyclists and triathletes, but there were differences between genders. These results suggest that using either body weight-based or lean body mass-based load can be used interchangeably. However, there may be some practically relevant differences when evaluating this on an individual level.

Key words

body composition - endurance sports - anaerobic power - performance - anaerobic capacity - WAnT


Publication History

Received: 00 00 2020

Accepted: 20 January 2020

Article published online:
14 April 2020

© Georg Thieme Verlag KG
Stuttgart · New York

 

  • References

  • 1 Lucia A, Hoyos J, Chicharro JL. Physiology of professional road cycling. Sports Med 2001; 31: 325-337
    CrossrefPubMedGoogle Scholar
  • 2 Baron R. Aerobic and anaerobic power characteristics of off-road cyclists. Med Sci Sports Exerc 2001; 33: 1387-1393
    CrossrefPubMedGoogle Scholar
  • 3 Lucia A, Carvajal A, Boraita A. et al. Heart dimensions may influence the occurrence of the heart rate deflection point in highly trained cyclists. Br J Sports Med 1999; 33: 387-392
    CrossrefPubMedGoogle Scholar
  • 4 Lucía A, Hoyos J, Pérez M. et al. Inverse relationship between VO2max and economy/efficiency in world-class cyclists. Med Sci Sports Exerc 2002; 34: 2079-2084
    CrossrefPubMedGoogle Scholar
  • 5 Menaspà P, Quod M, Martin D. et al. Physical demands of sprinting in professional road cycling. Int J Sports Med 2015; 36: 1058-1062
    Article in Thieme ConnectPubMedGoogle Scholar
  • 6 Rønnestad BR, Mujika I. Optimizing strength training for running and cycling endurance performance: A review. Scand J Med Sci Sports 2013; 24: 603-612
    PubMedGoogle Scholar
  • 7 Faria EW, Parker DL, Faria IE. The science of cycling. Sports Med 2005; 35: 285-312
    CrossrefPubMedGoogle Scholar
  • 8 Finn J, Gastin P, Withers R et al. Estimation of peak power and anaerobic capacity of athletes. In: Gore C, Ed. Physiological Tests for Elite Athletes. Champaign (IL): Human Kinetics; 2000
  • 9 Reiser RF, Maines JM, Eisenmann JC. et al. Standing and seated Wingate protocols in human cycling. A comparison of standard parameters. Eur J Appl Physiol 2002; 88: 152-157
    CrossrefPubMedGoogle Scholar
  • 10 Kohler RM, Rundell KW, Evans TM. et al. Peak power during repeated Wingate trials: Implications for testing. J Strength Cond Res 2010; 24: 370-374
    CrossrefPubMedGoogle Scholar
  • 11 Ayalon A, Inbar O, Bar-Or O. Relationships among measurements of explosive strength and anaerobic power. In: Nelson RC, Morehouse CA, Eds. Biomechanics IV: Proceedings of the Fourth International Seminar on Biomechanics. Macmillan Publishers Limited, Palgrave, London; 1974: 572–577
  • 12 Ucok K, Gokbel H, Okudan N. The load for the Wingate test: According to the body weight or lean body mass. Eur J Gen Med 2005; 2: 10-13
    PubMedGoogle Scholar
  • 13 Hazir T, Kosar NS. Assessment of gender differences in maximal anaerobic power by ratio scaling and allometric scaling. Isokinet Exerc Sci 2007; 15: 253-261
    PubMedGoogle Scholar
  • 14 Arslan E, Aras D. Comparison of body composition, heart rate variability, aerobic and anaerobic performance between competitive cyclists and triathletes. J Phys Ther Sci 2016; 28: 1325-1329
    CrossrefPubMedGoogle Scholar
  • 15 Minahan C, Chia M, Inbar O. Does power indicate capacity? 30-s Wingate anaerobic test vs. maximal accumulated O2 deficit. Int J Sports Med 2007; 28: 836-843
    Article in Thieme ConnectPubMedGoogle Scholar
  • 16 Moro VL, Gheller RG, Berneira JDO. et al. Comparison of body composition and aerobic and anaerobic performance between competitive cyclists and triathletes. Rev Bras Cineantropom Desempenho Hum 2013; 15: 646-655
    PubMedGoogle Scholar
  • 17 Mujika I, Rønnestad BR, Martin DT. Effects of increased muscle strength and muscle mass on endurance-cycling performance. Int J Sports Physiol Perform 2013; 11: 283-289
    PubMedGoogle Scholar
  • 18 Thomson R, Brinkworth GD, Buckley JD. et al. Good agreement between bioelectrical impedance and dual-energy X-ray absorptiometry for estimating changes in body composition during weight loss in overweight young women. Clin Nutr 2007; 26: 771-777
    CrossrefPubMedGoogle Scholar
  • 19 Baker JS, Davies B. Brief high-intensity exercise and resistive force selection in overweight and obese subjects: Body mass or body composition?. Res Sports Med 2006; 14: 97-106
    CrossrefPubMedGoogle Scholar
  • 20 McInnis KJ, Balady GJ. Effects of body composition on oxygen uptake during treadmill exercise: Body builders versus weight-matched men. Res Q Exerc Sport 1999; 70: 150-156
    CrossrefPubMedGoogle Scholar
  • 21 Ben Ari E, Inbar O, Bar-Or O. The aerobic capacity and maximal anaerobic power of 30 to 40 year old men and women. In: Book G, Landry F, Orban W, Eds. Proceedings of the International Congress of Physical Activity Sciences. Quebec: International Congress of Physical Activity Sciences; 1978: 427–433
  • 22 Maud PJ, Shultz BB. Gender comparisons in anaerobic power and anaerobic capacity tests. Br J Sports Med 1986; 20: 51-54
    CrossrefPubMedGoogle Scholar
  • 23 Baker JS, Bailey DM, Davies B. The relationship between total-body mass, fat-free mass and cycle ergometry power components during 20 seconds of maximal exercise. J Sci Med Sport 2001; 4: 1-9
    CrossrefPubMedGoogle Scholar
  • 24 Baker JS, Bailey DM, Dutton J. et al. Catecholamine responses to high intensity cycle ergometer exercise: body mass or body composition?. J Physiol Biochem 2003; 59: 77-83
    CrossrefPubMedGoogle Scholar
  • 25 Vandewalle H, Peres G, Monod H. Standard anaerobic exercise tests. Sports Med 1987; 6: 82-85
    PubMedGoogle Scholar
  • 26 Bar-Or O. The Wingate anaerobic test: an update on methodology, reliability and validity. Sports Med 1987; 4: 381-394
    CrossrefPubMedGoogle Scholar
  • 27 Harriss DJ, Macsween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
    Article in Thieme ConnectPubMedGoogle Scholar
  • 28 Ling CH, de Craen AJ, Slagboom PE. et al. Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population. Clinc Nutr 2011; 30: 610-615
    PubMedGoogle Scholar
  • 29 Vargas NT, Robergs RA, Klopp DM. Optimal loads for a 30-s maximal power cycle ergometer test using a stationary start. Eur J Appl physiol 2015; 115: 1087-1094
    CrossrefPubMedGoogle Scholar
  • 30 Cohen J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988
    Google Scholar
  • 31 Green S. Measurement of anaerobic work capacities in humans. Sports Med 1995; 19: 32-42
    CrossrefPubMedGoogle Scholar
  • 32 Bradley AL, Ball TE. The Wingate test: The effect of load on power outputs in female athletes and non-athletes. J Strength Cond Res 1992; 6: 193-199
    PubMedGoogle Scholar
  • 33 Richmond SR, Whitman SA, Acree LS. et al. Power output in trained male and female cyclists during the Wingate test with increasing flywheel resistance. J Exerc Physiol Online 2011; 14: 46-53
    PubMedGoogle Scholar
  • 34 Grassi B, Cerretelli P, Narici MV. et al. Peak anaerobic power in master athletes. Eur J Appl Physiol 1995; 62: 394-399
    PubMedGoogle Scholar
  • 35 Fox EL, Bowers RW, Foss ML. The Physiological Basis of Physical Education And Athletics. Madison WI: Brown and Benchmark; 1993: 46-47
    Google Scholar
  • 36 Perez-Gomez J, Rodriguez GV, Ara I. et al. Role of muscle mass on sprint performance: Gender differences?. Eur J Appl Physio 2018; 102: 685-694
    PubMedGoogle Scholar
  • 37 Jaworowski A, Porter MM, Holmbäck AM. et al. Enzyme activities in the tibialis anterior muscle of young moderately active men and women: relationship with body composition, muscle cross-sectional area and fibre type composition. Acta Physiol Scand 2002; 176: 215-225
    CrossrefPubMedGoogle Scholar
  • 38 Beneke R, Pollmann CH, Bleif I. et al. How anaerobic is the Wingate Anaerobic Test for humans?. Eur J Appl physiol 2002; 87: 388-392
    CrossrefPubMedGoogle Scholar
  • 39 Clemente VJ, Ramos D, Gonzalez-Ravé JM. Modifications to body composition after an alpine marathon. Int Sports Med J 2011; 1: 133-140
    PubMedGoogle Scholar
  • 40 González-Ravé JM, Arija A, Clemente-Suarez V. Seasonal changes in jump performance and body composition in women volleyball players. J Strength Cond Res 2011; 25: 1492-1501
    CrossrefPubMedGoogle Scholar
  • 41 Shafer KJ, Siders WA, Johnson LK. et al. Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes. Nutrition 2009; 25: 25-32
    CrossrefPubMedGoogle Scholar
  • 42 Wingo BC, Barry VG, Ellis AC. et al. Comparison of segmental body composition estimated by bioelectrical impedance analysis and dual-energy X-ray absorptiometry. Clin Nutr 2018; 28: 141-147
    PubMedGoogle Scholar
  • 43 Malavolti M, Mussi C, Poli M. et al. Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21-82 years. Ann Hum Biol 2003; 30: 380-391
    CrossrefPubMedGoogle Scholar