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Pregled bibliografske jedinice broj: 328272

Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers : the basis for selection process?


Mikulić, Pavle; Ružić, Lana
Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers : the basis for selection process? // Journal of science and medicine in sport, 11 (2008), 2; 218-226 doi:10.1016/j.jsams.2007.01.008 (međunarodna recenzija, članak, znanstveni)


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Naslov
Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers : the basis for selection process?

Autori
Mikulić, Pavle ; Ružić, Lana

Izvornik
Journal of science and medicine in sport (1440-2440) 11 (2008), 2; 218-226

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Rowing ; Talent identification ; Exercise test ; Anthropometry ; Physiology ; Regression analysis

Sažetak
Performance-predictive parameters have been established for rowers representing different quality levels, sexes, weight categories and classifications, but none have been designed for very young rowers (age <14). The objective of this study was to predict 1000-m rowing ergometer performance based on 12 anthropometric and six physiological variables in 48 male rowers (age range 12.0-13.9 year ; mean+/-S.D. 12.94+/-0.61) and to determine the key parameters that would perhaps provide a scientific basis for talent identification and the selection process in rowing. The subjects completed an incremental maximal treadmill test. Their body height (r=-0.79), body mass (r=-0.60), lean body mass (r=-0.82), leg length (r=-0.72), arm length (r=-0.71), bicristal diameter (r=-0.63), biacromial diameter (r=-0.73), upper arm girth (r=-0.34), forearm girth (r=-0.63), thigh girth (r=-0.29), calf girth (r=-0.54), maximal oxygen uptake (in L/min, r=-0.89 ; and in mL/kg/min, r=-0.36), maximal ventilation (r=-0.77), and oxygen uptake at ventilatory anaerobic threshold (r=-0.87) correlated with 1000-m time (p<0.05), while percent body fat, percent of maximal oxygen uptake at ventilatory anaerobic threshold and maximal lactate did not. Performance correlated significantly with age (r=-0.46 ; p<0.01), so it was important to consider this effect in the resulting regression models. Multiple regression procedures indicated that the model comprising anthropometric and physiological variables combined best predicts performance (R(2)=0.85), followed by models that comprised physiological (R(2)=0.80) and anthropometric (R(2)=0.76) variables alone. In conclusion, in rowers aged 12-13 year a higher aerobic capacity (as measured by maximal oxygen uptake in L/min), and a larger body size are beneficial for performance over 1000-m rowing ergometer distance.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Kineziologija



POVEZANOST RADA


Projekti:
034-0342282-2401 - Razina treniranosti i incidencija bolesti/ozljeda kod plivača (Leko, Goran, MZOS ) ( CroRIS)

Ustanove:
Kineziološki fakultet, Zagreb

Profili:

Avatar Url Lana Ružić (autor)

Avatar Url Pavle Mikulić (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com www.sciencedirect.com

Citiraj ovu publikaciju:

Mikulić, Pavle; Ružić, Lana
Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers : the basis for selection process? // Journal of science and medicine in sport, 11 (2008), 2; 218-226 doi:10.1016/j.jsams.2007.01.008 (međunarodna recenzija, članak, znanstveni)
Mikulić, P. & Ružić, L. (2008) Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers : the basis for selection process?. Journal of science and medicine in sport, 11 (2), 218-226 doi:10.1016/j.jsams.2007.01.008.
@article{article, author = {Mikuli\'{c}, Pavle and Ru\v{z}i\'{c}, Lana}, year = {2008}, pages = {218-226}, DOI = {10.1016/j.jsams.2007.01.008}, keywords = {Rowing, Talent identification, Exercise test, Anthropometry, Physiology, Regression analysis}, journal = {Journal of science and medicine in sport}, doi = {10.1016/j.jsams.2007.01.008}, volume = {11}, number = {2}, issn = {1440-2440}, title = {Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers : the basis for selection process?}, keyword = {Rowing, Talent identification, Exercise test, Anthropometry, Physiology, Regression analysis} }
@article{article, author = {Mikuli\'{c}, Pavle and Ru\v{z}i\'{c}, Lana}, year = {2008}, pages = {218-226}, DOI = {10.1016/j.jsams.2007.01.008}, keywords = {Rowing, Talent identification, Exercise test, Anthropometry, Physiology, Regression analysis}, journal = {Journal of science and medicine in sport}, doi = {10.1016/j.jsams.2007.01.008}, volume = {11}, number = {2}, issn = {1440-2440}, title = {Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers : the basis for selection process?}, keyword = {Rowing, Talent identification, Exercise test, Anthropometry, Physiology, Regression analysis} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • MEDLINE
  • PsychINFO
  • Index Medicus
  • Scopus


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