The results demonstrate that three common methods exist for determination of the VJ phases from force platform data. Consequently, each produce different values for force-time variables when used on a neutral data pool. There is a clear need for a robust agreed method for VJ analysis.
The aim of this study was to determine the influence of muscular strength and power on upper body Wingate performance in men and women. Muscular strength (1 repetition maximum bench press), muscular power (bench throws) and upper body anaerobic performance (Wingate Anaerobic Test (WAnT)) was assessed in 24 men and 16 women. Men had significantly ( P<0.001) higher absolute and relative peak and mean power and blood lactate concentration during the WAnT compared to their female counterparts. Men also produced significantly ( P<0.001) higher strength and absolute and relative peak and mean power during the bench press and throw, respectively, compared to the female participants. For men body mass and mean power produced during the bench throw explained approximately 84% and 87% of the variance in Wingate peak ( P<0.001 and P=0.039, respectively) and mean ( P<0.001 and P=0.028, respectively) power. For women mean power produced during the bench throw explained approximately 72% and 52% of the variance in Wingate peak ( P=0.002) and mean ( P=0.017) power, respectively. For men body mass and to a lesser extent muscular power best predicts upper body Wingate performance while for women only muscular power predicts upper body Wingate performance.
Background Moderate intensity exercise ranging 40–60% of maximum oxygen uptake is advised to promote energy expenditure and fat oxidation in overweight and obese people. Although fat oxidation has been shown to be highly variable among individual, there is still a relative uncertainty regarding exercise prescription for women specifically. This article aimed to determine whether indicators of body composition can be used to narrow the exercise intensity range for exercise prescription in women. Methods A total of 35 healthy women (age 30.8±9.5 yr) classified according to their BMI in normal weight (NOR; ≤24.9 kg·m2), overweight (OVW; 25–29.9 kg·m2) and obese groups (OBE; ≥30 kg·m2) completed a submaximal graded test (intensities eliciting ~30%, 40%, 50% and 60% of maximum oxygen uptake). Blood lactate, perceived exertion and absolute and relative substrate oxidation for fat (OXFAT) and carbohydrates (OXCHO) were measured at each stage. Results Perceived exertion and blood lactate increased as a function of exercise but did not differ across groups. There were no significant changes in absolute and relative OXFAT across groups, or as a function of exercise intensity. Peak OXFAT occurred at the 40%, 50% and 40% stages for NOR, OVW and OBE groups, respectively, with no significant differences across groups. Conclusion We measured no differences, but considerable inter-individual variation, in fat oxidation in women of different body composition. This result is in agreement with previous research based on exercise performed at constant rate and in independent participant groups. Our findings do not support the fat oxidation hypothesis, and further emphasise the perspective that exercise prescription should be individualised and likely be based on considerations other than substrate oxidation.
Background: This study compared vertical jump phase identification using a three-dimensional motion capture system to three common force platform based methodologies. Methods: Thirty-two semi-professional male rugby league players (23.3 ± 4.1 years) volunteered to participate in the study. Participants completed six vertical jumps on a force plate with landmark body markers for the motion capture system analysis. The data from the motion capture system was then analysed against three common methods used in vertical jump analysis. Results: Eccentric phase time, concentric phase time, time to peak force and rate of force development for method one were significantly different (p<0.001) from motion capture system data. Method 2 was significantly different (p<0.05) for eccentric phase time identification compared to motion capture analysis. No significant differences were found among the three groups for maximum concentric force when compared with motion capture system data. Conclusion: While no differences were found in the maximum force values, differences were found in the eccentric and concentric phase times. The accurate identification of the start and ending of the phases is essential to correctly measure the time to peak force and rate of force development during the vertical jump. The rate of force development and time to peak force has been identified as key predictors of sports performance and therefore care must be taken in the methods chosen to measure these important variables.
Pages 1313-5, Table 1, column 1: The cell entries in the 'Reference' column, which previously read: Cormack et al. [28] Chiu et al. [29] Chiu and Salem [30] Crewther et al. [31] Floría and Harrison [32] Johnson and Bahamonde [33] McLellan et al. [18] Moir et al. [20] Moir [34] Moir et al. [19] Riggs and Sheppard [35] Street et al. [25] Vanrenterghem et al. [36] Cappa and Behm [37] Dowling and Vamos [38] Hatze [39] Leontijevic et al. [40] McElveen et al. [41] Meylan et al. [42] Meyland et al. [43] should read: Cormack et al. [69] Chiu et al. [36] Chiu and Salem [37] Crewther et al. [38] Floría and Harrison [39] Johnson and Bahamonde [40] McLellan et al. [20] Moir et al. [22] Moir [41] Moir et al. [21] Riggs and Sheppard [42] Street et al. [32] Vanrenterghem et al. [43] Cappa and Behm [44] Dowling and Vamos [45] Hatze [46] Leontijevic et al. [47] McElveen et al. [48] Meylan et al. [49] Meylan et al.
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