Strength, power and muscular endurance tests have been developed as means of assessing people's physical abilities. However, testing may be expensive or time consuming. A method to reduce the time of physical assessment could be to use predictive algorithms for indirect assessment. The aim of this study will be to determine a relationship between strength, power and muscular endurance in order to identify predictors for an easier and faster assessment. 33 male strength-trained participants (22.8 ± 4.6 years, 172.5 ± 6.7 cm, 68.0 ± 10.6 kg) performed a single pull-up (SPU) and a single push-up (SPH) and a set of pull-ups (EPU) and push-ups (EPH) to exhaustion. The participants were divided into three sub-groups according to their training experience. Force(F), Power(P), Velocity(V) and relative power(R-P), extracted from an accelerometer (500 Hz), were compared between groups (ANOVA) and a subsequent linear regression analysis was performed to identify predictors of the performance measures. The regression models were able to explain 61% of the variance with the EPU as dependent variable and the V of the SPU as independent variable and 68% of the variance with the EPH as dependent variable and EPU as independent variable. In addition, increased performance measures were found according to training experience, in particular regarding muscular endurance of both the EPU and EPH (p < 0.001 and p < 0.01, respectively). A significant effect of training experience was also present for the V of the SPU (p < 0.001). The results indicate that a relation between muscular endurance and velocity is present. The generated equations allow to estimate both the number of EPH and EPU from a SPU. The equations may be helpful to reduce the time of assessment for upper body physical evaluation.
|Number of pages||8|
|Journal||Human Movement Science|
|Publication status||Published - 2018|
All Science Journal Classification (ASJC) codes
- Orthopedics and Sports Medicine
- Experimental and Cognitive Psychology