Effects of mechanical energy on anaerobic capacity during a supramaximal treadmill running: is there influence between runners and active individual

• Ano de defesa: 2018
• Autor(a) principal: Martínez González, Joel Abraham
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Capacidade anaeróbia; Trabalho mecânico; Trabalho interno e externo; Anaerobic capacity; Mechanical work; External and internal work
• Link de acesso: http://hdl.handle.net/11449/154156

The purpose of the present study was t o determine the influence of biomechanical variables on anaerobic capacity and performance assessed with a supramaximal effort and if this relationship is depend ing on training expe rience reflected in the running technique . 22 healthy men participated in this descriptive study (29.18 ± 7.13 years , 175.27 ± 5.8 height and 71.54 ± 8.52 of mass ) , divided in two groups, physical active (n=11) and amateur runners (n=11) with a V O 2max of 43.17±4.46 mL · kg - 1 · min - 1 for physical active and 55.45±5.58 mL · kg - 1 · min - 1 for amateur runners respectively. T he volunteers performed three supramaximal effort s in different days at 115% of the intensity associated to V O 2max ( i V O 2max 115% ) i n order to esti mate the anaerobic capacity (AC) , calculate the total mechanical work (W [tot] ) and to test reliability of biomechanical variables (i.e. mechanical work and running kinematics ) . Pairwise Person correlations were calculated between all the biomechanical vari ables and AC as well as supramaximal effort performance to verify correlations and a multiple stepwise regression analysis were calculated in order to obtain the best predictor of AC and supramaximal effort performance. An ANOVA two way was used to verify the reliability of mechanical work calculations and to verify differences in biomechanical variables along the supramaximal effort (divided in four - time periods) . The major findings of the study were : 1) The swing time (SwT) and the step frequency (SF) were found to be associated with metabolic variables in the runners and only the internal work (W [int] ) in physical active . Pairwise regression analysis revealed that these variables explained 52.6% and 42.4% of the variability in AC . 2) In addition, regarding the supramaximal performance, the potential energy ( E PE ) explains 47.2% of the variability in runners and SwT explains 40.8% of the variability in physical active. 3) the re test had a learning effect among runners because they used 27.42% less mechanical w ork in the valid test. It is possible to conclude that SF is the best predictor of AC in runners and the W [int] is the best predictor of AC in physical actives. The familiarization affects the mechanical work according to running experience. However, mecha nical work expenditure may need more than two trials to stabilized.