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The article discusses research investigating the ability of anthropometric variables, such as body mass, total arm length, and biacromial width, to predict bench press performance under maximal and submaximal loads. Researchers measured peak force, velocity, and power after each maximal and submaximal load set using an accelerometer. Results showed a relationship between anthropometry and performance.

The article reports on research which investigated the impact that high speed resistive exercise workouts had on salivary hormones in athletes. Researchers evaluated 45 subjects who performed two elbow flexor workouts on a strength training device. They found that the workouts led to increases in testosterone in the salivary samples that were taken from the subjects.

Healthy college-age subjects (43 men, 32 women) provided data to examine the effect of arm swing on the attainment of maximum countermovement vertical jump heights. Subject's data were collected from two laboratory visits. Maximum-effort jumps were performed, both with and without an arm swing at each visit, as peak height values were collected and recorded by an instrumented platform. A 2 (gender) x 2 (jump condition) ANOVA revealed an interaction, as jumps done with an arm swing done by men produced the highest maximum jump heights. Using two separate multivariate regression analyses, four anthropometric variables (height, body mass, upper leg length, lower leg length) explained a significant amount of variance in maximum height values for jumps done with and without an arm swing. Finally multivariate regression also revealed two upper extremity anthropometric measures (upper and lower arm lengths) accounted for a small (R^{2} = 15% yet significant amount of variance in delta (jumps done with - without an arm swing) height values. Continued research should examine additional predictor variables in an attempt to explain more of the variance in jump height values. [ABSTRACT FROM AUTHOR]

The authors discuss a study regarding the prediction of vertical jump heights from an instrumented platform through anthropometry. They state that criterion variance per gender in anthropometry has been assessed by standard multivariate regression. The authors note that the accuracy of vertical jump height values have been enhanced for the platform.

The article discusses the reproducibility of data from consecutive front squat workouts using the triple-axis accelerometer conducted to college football players in the U.S. The assessment of data used inter-workout comparison including for intraclass correlation coefficients and coefficients of variation (CVs). It mentions technology for the measurement of high-speed resistive exercise performance which includes the accelerometers.