Using machine learning to improve our understanding of injury risk and prediction in elite male youth football players.

Objectives: The purpose of this study was to examine whether the use of machine learning improved the ability of a neuromuscular screen to identify injury risk factors in elite male youth football players.

Design: Prospective cohort study.

Methods: 355 elite youth football players aged 10-18 years old completed a prospective pre-season neuromuscular screen that included anthropometric measures of size, as well as single leg countermovement jump (SLCMJ), single leg hop for distance (SLHD), 75% hop distance and stick (75%Hop), Y-balance anterior reach and tuck jump assessment.

Carotid artery wall mechanics in young males with high cardiorespiratory fitness.

New Findings: What is the central question of this study? Common carotid artery (CCA) two-dimensional strain imaging detects intrinsic arterial wall properties beyond conventional measures of arterial stiffness, but the effect of cardiorespiratory fitness on two-dimensional strain-derived indices of CCA stiffness is unknown. What is the main finding and its importance? Two-dimensional strain imaging of the CCA revealed greater peak circumferential strain and systolic strain rate in highly fit men compared with their less fit counterparts. Altered CCA wall mechanics might reflect intrinsic training-induced adaptations that help to buffer the increase in pulse pressure and stroke volume during exercise.

Forearm oxygenation and blood flow kinetics during a sustained contraction in multiple ability groups of rock climbers.

Currently, the physiological mechanisms that allow elite level climbers to maintain intense isometric contractions for prolonged periods of time are unknown. Furthermore, it is unclear whether blood flow or muscle oxidative capacity best governs performance. This study aimed to determine the haemodynamic kinetics of 2 forearm flexor muscles in 3 ability groups of rock climbers.

Predictors of three-dimensional breast kinematics during bare-breasted running.

Purpose: This study aimed to analyze differences in breast kinematics between breast cup sizes during running and the ability of breast and body size measurements to explain these differences.

Methods: Forty-eight women (A to G cup; mean ± SD: age = 26.0 ± 6.