Percentile curves and reference values for 2000-m rowing ergometer performance time in international rowers aged 14-70 years

  1. Telmo Silva Alonso 1
  2. María del Carmen Iglesias Pérez 1
  3. José Luis García Soidán 1
  1. 1 Universidade de Vigo
    info

    Universidade de Vigo

    Vigo, España

    ROR https://ror.org/05rdf8595

Revista:
Journal of Human Sport and Exercise: JHSE

ISSN: 1988-5202

Ano de publicación: 2018

Volume: 13

Número: 4

Páxinas: 731-742

Tipo: Artigo

DOI: 10.14198/JHSE.2018.134.02 DIALNET GOOGLE SCHOLAR lock_openRUA editor

Outras publicacións en: Journal of Human Sport and Exercise: JHSE

Resumo

The aim of this study was to provide percentile curves and reference values for the performance in 2000-m maximal effort on rowing ergometer. A cross-sectional study was carried out with a non-probabilistic sample (n=15420) obtained from an on-line ranking of indoor rowing and made from results between 2010 and 2014 recorded in 2000-m official races. Percentile curves and reference values were calculated using Generalized Additive Models for Location, Scale and Shape (GAMLSS) with a transformation of data to Box-Cox Power Exponential distribution and cubic splines as smoothing technique with age as the explanatory variable. This study is the first to present percentile curves and reference data to evaluate 2000-m performance time (indirect measure of mechanical power) in rowing ergometer depending on age (14-70) for both sexes and body-mass classifications (light- and heavyweight rowers). These curves and values are of interest in assessing indoor rowing performance and in measuring the specific physical condition of rowers in 2000-m regattas on-water. Percentiles also can be useful to predict performance levels in oncoming ages.

Referencias bibliográficas

  • Akça, F. (2014). Prediction of Rowing Ergometer Performance from Functional Anaerobic Power, Strength and Anthropometric Components. Journal of human kinetics, 41(1), 133-142. https://doi.org/10.2478/hukin-2014-0041
  • Akça, F. (2014). Prediction of Rowing Ergometer Performance from Functional Anaerobic Power, Strength and Anthropometric Components. Journal of human kinetics, 41(1), 133-142. https://doi.org/10.2478/hukin-2014-0041
  • Borghi, E., de Onis, M., Garza, C., Van den Broeck, J., Frongillo, E. A., Grummer-Strawn, L., Van Buuren,
  • Borghi, E., de Onis, M., Garza, C., Van den Broeck, J., Frongillo, E. A., Grummer-Strawn, L., Van Buuren,
  • S., Pan, H., Molinari, L., Martorell, R., Onyango, A. W. and Martines, J. C. (2006). Construction of the World Health Organization child growth standards: selection of methods for attained growth curves. Statistics in medicine, 25(2), 247-265. https://doi.org/10.1002/sim.2227
  • S., Pan, H., Molinari, L., Martorell, R., Onyango, A. W. and Martines, J. C. (2006). Construction of the World Health Organization child growth standards: selection of methods for attained growth curves. Statistics in medicine, 25(2), 247-265. https://doi.org/10.1002/sim.2227
  • Bourdin, M., Messonnier, L., Hager, J. P., & Lacour, J. R. (2004). Peak power output predicts rowing ergometer performance in elite male rowers. International journal of sports medicine, 25(5), 368-373. https://doi.org/10.1055/s-2004-815844
  • Bourdin, M., Messonnier, L., Hager, J. P., & Lacour, J. R. (2004). Peak power output predicts rowing ergometer performance in elite male rowers. International journal of sports medicine, 25(5), 368-373. https://doi.org/10.1055/s-2004-815844
  • Buuren, S. V. & Fredriks, M. (2001). Worm plot: a simple diagnostic device for modelling growth reference curves. Statistics in medicine, 20(8), 1259-1277. https://doi.org/10.1002/sim.746
  • Buuren, S. V. & Fredriks, M. (2001). Worm plot: a simple diagnostic device for modelling growth reference curves. Statistics in medicine, 20(8), 1259-1277. https://doi.org/10.1002/sim.746
  • Cosgrove, M. J., Wilson, J., Watt, D. & Grant, S. F. (1999). The relationship between selected physiological variables of rowers and rowing performance as determined by a 2000 m ergometer test. Journal of Sports Sciences, 17(11), 845-852. http://dx.doi.org/10.1080/026404199365407
  • Cosgrove, M. J., Wilson, J., Watt, D. & Grant, S. F. (1999). The relationship between selected physiological variables of rowers and rowing performance as determined by a 2000 m ergometer test. Journal of Sports Sciences, 17(11), 845-852. http://dx.doi.org/10.1080/026404199365407
  • Guével, Boyas, Nordez & Cornu (2006). Power responses of a rowing ergometer: mechanical sensors vs. Concept2® measurement system. Int J Sports Med, 27, 830-833. http://dx.doi.org/10.1055/s2006-923774
  • Guével, Boyas, Nordez & Cornu (2006). Power responses of a rowing ergometer: mechanical sensors vs. Concept2® measurement system. Int J Sports Med, 27, 830-833. http://dx.doi.org/10.1055/s2006-923774
  • De Campos Mello, F., de Moraes Bertuzzi, R. C., Grangeiro, P. M. & Franchini, E. (2009). Energy systems contributions in 2,000 m race simulation: a comparison among rowing ergometers and water. European journal of applied physiology, 107(5), 615-619. http://dx.doi.org/10.1007/s00421-009-1172-9
  • De Campos Mello, F., de Moraes Bertuzzi, R. C., Grangeiro, P. M. & Franchini, E. (2009). Energy systems contributions in 2,000 m race simulation: a comparison among rowing ergometers and water. European journal of applied physiology, 107(5), 615-619. http://dx.doi.org/10.1007/s00421-009-1172-9
  • Hagerman, F. C. (1984). Applied physiology of rowing. Sports Medicine, 1(4), 303-326. http://dx.doi.org/10.2165/00007256-198401040-00005
  • Hagerman, F. C. (1984). Applied physiology of rowing. Sports Medicine, 1(4), 303-326. http://dx.doi.org/10.2165/00007256-198401040-00005
  • Hawkins, S. A. & Wiswell, R. A. (2003). Rate and mechanism of maximal oxygen consumption decline with aging. Sports Medicine, 33(12), 877-888. http://dx.doi.org/10.2165/00007256-200333120-00002
  • Hawkins, S. A. & Wiswell, R. A. (2003). Rate and mechanism of maximal oxygen consumption decline with aging. Sports Medicine, 33(12), 877-888. http://dx.doi.org/10.2165/00007256-200333120-00002
  • Huang, C. J., Nesser, T. W., & Edwards, J. E. (2007). Strength and power determinants of rowing performance. Journal of Exercise Physiology online, 10(4).
  • Huang, C. J., Nesser, T. W., & Edwards, J. E. (2007). Strength and power determinants of rowing performance. Journal of Exercise Physiology online, 10(4).
  • Ingham, S., Whyte, G., Jones, K. & Nevill, A. (2002). Determinants of 2,000 m rowing ergometer performance in elite rowers. European journal of applied physiology, 88(3), 243-246. http://dx.doi.org/10.1007/s00421-002-0699-9
  • Ingham, S., Whyte, G., Jones, K. & Nevill, A. (2002). Determinants of 2,000 m rowing ergometer performance in elite rowers. European journal of applied physiology, 88(3), 243-246. http://dx.doi.org/10.1007/s00421-002-0699-9
  • Kerr, D. A., Ross, W. D., Norton, K., Hume, P., Kagawa, M. & Ackland, T. R. (2007). Olympic lightweight and open-class rowers possess distinctive physical and proportionality characteristics. Journal of Sports Sciences, 25(1), 43-53. http://dx.doi.org/10.1080/02640410600812179
  • Kerr, D. A., Ross, W. D., Norton, K., Hume, P., Kagawa, M. & Ackland, T. R. (2007). Olympic lightweight and open-class rowers possess distinctive physical and proportionality characteristics. Journal of Sports Sciences, 25(1), 43-53. http://dx.doi.org/10.1080/02640410600812179
  • Kleshnev, V. (2010). Boat acceleration, temporal structure of the stroke cycle, and effectiveness in rowing. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 224(1), 63-74. https://doi.org/10.1243/17543371JSET40
  • Kleshnev, V. (2010). Boat acceleration, temporal structure of the stroke cycle, and effectiveness in rowing. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 224(1), 63-74. https://doi.org/10.1243/17543371JSET40
  • Klusiewicz, A. & Faff, J. (2003). Indirect methods of estimating maximal oxygen uptake on the rowing ergometer. Biology of Sport, 20(3), 181-194.
  • Klusiewicz, A. & Faff, J. (2003). Indirect methods of estimating maximal oxygen uptake on the rowing ergometer. Biology of Sport, 20(3), 181-194.
  • Lacour, J. R., Messonnier, L. & Bourdin, M. (2009). Physiological correlates of performance. Case study of a world-class rower. European journal of applied physiology, 106(3), 407-413. https://doi.org/10.1007/s00421-009-1028-3
  • Lacour, J. R., Messonnier, L. & Bourdin, M. (2009). Physiological correlates of performance. Case study of a world-class rower. European journal of applied physiology, 106(3), 407-413. https://doi.org/10.1007/s00421-009-1028-3
  • Mäestu, J., Jürimäe, J. & Jürimäe, T. (2005). Monitoring of performance and training in rowing. Sports Medicine, 35(7), 597-617. https://doi.org/10.2165/00007256-200535070-00005
  • Mäestu, J., Jürimäe, J. & Jürimäe, T. (2005). Monitoring of performance and training in rowing. Sports Medicine, 35(7), 597-617. https://doi.org/10.2165/00007256-200535070-00005
  • Mikulić, P., Smoljanović, T., Bojanić, I., Hannafin, J. A., & Matković, B. R. (2009). Relationship between 2000-m rowing ergometer performance times and World Rowing Championships rankings in elitestandard rowers. Journal of sports sciences, 27(9), 907-913. https://doi.org/10.1080/02640410902911950
  • Mikulić, P., Smoljanović, T., Bojanić, I., Hannafin, J. A., & Matković, B. R. (2009). Relationship between 2000-m rowing ergometer performance times and World Rowing Championships rankings in elitestandard rowers. Journal of sports sciences, 27(9), 907-913. https://doi.org/10.1080/02640410902911950
  • Nevill, A. M., Allen, S. V. & Ingham, S. A. (2011). Modelling the determinants of 2000 m rowing ergometer performance: a proportional, curvilinear allometric approach. Scandinavian journal of medicine & science in sports, 21(1), 73-78. http://dx.doi.org/10.1111/j.1600-0838.2009.01025.x
  • Nevill, A. M., Allen, S. V. & Ingham, S. A. (2011). Modelling the determinants of 2000 m rowing ergometer performance: a proportional, curvilinear allometric approach. Scandinavian journal of medicine & science in sports, 21(1), 73-78. http://dx.doi.org/10.1111/j.1600-0838.2009.01025.x
  • Nybo, L., Schmidt, J. F., Fritzdorf, S. & Nordsborg, N. B. (2014). Physiological characteristics of an aging olympic athlete. Medicine and science in sports and exercise, 46(11), 2132-2138. https://doi.org/10.1249/MSS.0000000000000331
  • Nybo, L., Schmidt, J. F., Fritzdorf, S. & Nordsborg, N. B. (2014). Physiological characteristics of an aging olympic athlete. Medicine and science in sports and exercise, 46(11), 2132-2138. https://doi.org/10.1249/MSS.0000000000000331
  • R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
  • R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
  • Rigby, R. A., & Stasinopoulos, D. M. (2006). Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis. Statistical Modelling, 6(3), 209-229. http://doi.org/10.1191/1471082X06st122oa
  • Rigby, R. A., & Stasinopoulos, D. M. (2006). Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis. Statistical Modelling, 6(3), 209-229. http://doi.org/10.1191/1471082X06st122oa
  • Rubin, R. T. & Rahe, R. H. (2010). Effects of aging in Masters swimmers: 40-year review and suggestions for optimal health benefits. Open access journal of sports medicine, 1, 39. http://doi.org/10.2147/OAJSM.S37718
  • Rubin, R. T. & Rahe, R. H. (2010). Effects of aging in Masters swimmers: 40-year review and suggestions for optimal health benefits. Open access journal of sports medicine, 1, 39. http://doi.org/10.2147/OAJSM.S37718
  • Secher, N. H. (1983). The physiology of rowing. Journal of Sports Sciences,1(1), 23-53. http://doi.org/10.1080/02640418308729658
  • Secher, N. H. (1983). The physiology of rowing. Journal of Sports Sciences,1(1), 23-53. http://doi.org/10.1080/02640418308729658
  • Seiler, K. S., Spirduso, W. W., & Martin, J. C. (1998). Gender differences in rowing performance and power with aging. Medicine and science in sports and exercise, 30(1), 121-127. http://doi.org/10.1097/00005768-199801000-00017
  • Seiler, K. S., Spirduso, W. W., & Martin, J. C. (1998). Gender differences in rowing performance and power with aging. Medicine and science in sports and exercise, 30(1), 121-127. http://doi.org/10.1097/00005768-199801000-00017
  • Shephard, R. J. (1998). Science and medicine of rowing: a review. Journal of Sports Sciences, 16(7), 603-620. http://doi.org/10.1080/026404198366416
  • Shephard, R. J. (1998). Science and medicine of rowing: a review. Journal of Sports Sciences, 16(7), 603-620. http://doi.org/10.1080/026404198366416
  • Smith, T. B. & Hopkins, W. G. (2012). Measures of rowing performance. Sports Medicine, 42(4), 343- 358. http://doi.org/10.2165/11597230-000000000-00000
  • Smith, T. B. & Hopkins, W. G. (2012). Measures of rowing performance. Sports Medicine, 42(4), 343- 358. http://doi.org/10.2165/11597230-000000000-00000
  • Soper, C. & Hume, P. A. (2004). Towards an ideal rowing technique for performance: The contributions from biomechanics. Sports Medicine, 34(12), 825-848. http://doi.org/10.2165/00007256-200434120-00003
  • Soper, C. & Hume, P. A. (2004). Towards an ideal rowing technique for performance: The contributions from biomechanics. Sports Medicine, 34(12), 825-848. http://doi.org/10.2165/00007256-200434120-00003
  • Stasinopoulos, D. M. & Rigby, R. A. (2007). Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, 23(7), 1-46. https://doi.org/10.18637/jss.v023.i07
  • Stasinopoulos, D. M. & Rigby, R. A. (2007). Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, 23(7), 1-46. https://doi.org/10.18637/jss.v023.i07
  • Steinacker, J. M. (1993). Physiological aspects of training in rowing. Evaluation,47(57), 60-62.
  • Steinacker, J. M. (1993). Physiological aspects of training in rowing. Evaluation,47(57), 60-62.
  • Van Holst, M. (2012). On rowing. URL http://home.hccnet.nl/m.holst/RoeiWeb.html
  • Van Holst, M. (2012). On rowing. URL http://home.hccnet.nl/m.holst/RoeiWeb.html
  • Vogler, A. J., Rice, A. J. & Withers, R. T. (2007). Physiological responses to exercise on different models of the concept II rowing ergometer. International Journal of Sports Physiology and Performance, 2(4), 360. http://doi.org/10.1123/ijspp.2.4.360
  • Vogler, A. J., Rice, A. J. & Withers, R. T. (2007). Physiological responses to exercise on different models of the concept II rowing ergometer. International Journal of Sports Physiology and Performance, 2(4), 360. http://doi.org/10.1123/ijspp.2.4.360
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