The aim of this paper was to present a review on the role that movement variability (MV) plays in the analysis of sports movement and in the monitoring of the athlete's skills. MV has been traditionally considered an unwanted noise to be reduced, but recent studies have re-evaluated its role and have tried to understand whether it may contain important information about the neuro-musculo-skeletal organisation. Issues concerning both views of MV, different approaches for analysing it and future perspectives are discussed. Information regarding the nature of the MV is vital in the analysis of sports movements/motor skills, and the way in which these movements are analysed and the MV subsequently quantified is dependent on the movement in question and the issues the researcher is trying to address. In dealing with a number of issues regarding MV, this paper has also raised a number of questions which are still to be addressed.

The aim of this study was to examine the influence of skill of expert triple jumpers on the coordination variability of lower extremity intra-limb couplings. In contrast to the traditional motor learning perspective, we hypothesized that as skill and thus performance increases, movement coordination variability will also increase. Three-dimensional kinematic and ground reaction force data were collected during the hop-step transition phase of the triple jump. Relative motion plots and a modified vector coding technique were used to quantify the coordination variability across the trials. The results were consistent with a U-shaped curve, representing coordination variability, as skill increases. The high coordination variability in less skilled athletes is present while the appropriate characteristics defining the movement coordination patterns are acquired. This coordination variability may not be beneficial to performance. As the refinement of these characteristics is achieved, coordination variability decreases, resulting in a more consistent or regulated performance. In the final stages of developing a skilled performance, a functional variability is accessed that brings flexibility to the system allowing it to cope with perturbations. This study highlights the need to address the learning effect when analysing coordination variability from a dynamical systems perspective.

The aim of this study was to examine lower limb joint kinetics during the block and first stance phases in athletic sprinting. Ten male sprinters (100 m PB, 10.50 ± 0.27 s) performed maximal sprint starts from blocks. External force (1000 Hz) and three-dimensional kinematics (250 Hz) were recorded in both the block (utilising instrumented starting blocks) and subsequent first stance phases. Ankle, knee and hip resultant joint moment, power and work were calculated at the rear and front leg during the block phase and during first stance using inverse dynamics. Significantly (P < 0.05) greater peak moment, power and work were evident at the knee joint in the front block and during stance compared with the rear block. Ankle joint kinetic data significantly increased during stance compared with the front and rear block. The hip joint dominated leg extensor energy generation in the block phase (rear leg, 61 ± 10%; front leg, 64 ± 8%) but significantly reduced during stance (32 ± 9%), where the ankle contributed most (42 ± 6%). The current study provides novel insight into sprint start biomechanics and the contribution of the lower limb joints towards leg extensor energy generation.

The purpose of this study was to determine the effects of two drop jump (DJ) training methods on the strength qualities of the leg extensors and vertical jumping performance. Thirty-five males were allocated to either a control group or one of two training groups, required to perform 72-90 DJ per week for 6 weeks: DJ for maximum rebound height (DJ-H) or DJ for maximum height and minimum ground contact time (DJ-H/t). The subjects were tested before and after the training on leg extensor function for maximum strength and speed-strength under concentric and stretch-shortening cycle muscular actions, and on vertical jumps from a standing position and a run-up. ANOVA with repeated measures showed that a 20% gain in reactive strength (RS) for the DJ-H/t group was significantly greater (p < 0.05) than the other groups, however, this did not transfer to vertical jumping performance. The DJ-H group did not achieve a significant training effect. It was concluded that DJ-H/t method was effective for the development of RS, but training with DJ-H was not intense and/or specific enough to stimulate gains in strength qualities of the leg extensors or jumping performance.

In this military trainee population, orthoses were effective in the prevention of overuse lower limb injury. This is the first study to identify a positive preventive role of orthoses.

Background Patient and public involvement and engagement is an important and expected component of health-related research activity in the UK. Specifically within the health research sphere, public engagement (usually defined as raising awareness of research) and patient involvement (usually defined as actively involving people in research) have traditionally been seen as separate but have much to gain from working together towards a common goal of better health outcomes for all. Methods This paper describes a unique approach taken by the Public Programmes Team: a small interdisciplinary team of public engagement specialists, with backgrounds in science, community development, public engagement and involvement, policy, ethics, communications, industry, museums and creative practice, embedded within translational research infrastructure and delivery in Manchester in the North West of England. We propose a new model of professional practice – a 'cycle' of engagement and involvement – innovating across the complementary fields of public engagement and patient involvement, and working inclusively and in partnership with people in health research. Further, our approach capitalises on strategic collaboration offering economies of scale and a joined up way of working. Our ambition is to boldly experiment, learn and reflect, responsibly and based on evidence and partnerships, using methods of engagement that address issues of social justice. Results Here, we report on preliminary case studies exemplifying the impact of our approach, and data relating to achievements and learning between April 2017 and March 2018. Informed by our findings, we propose that our approach has the potential to be replicated elsewhere. Conclusions Our practice and the beginning of its evaluation lead us to believe that our way of working and model of professional practice – the ‘cycle’ of engagement and involvement – is effective in: addressing our vision of making health research relevant and inclusive for everyone; and embedding and joining up public involvement in a busy and fertile translational health research ecosystem.

This study used an optimization procedure to evaluate an 8-segment torque-driven subject-specific computer simulation model of the takeoff phase in running jumps for height. Kinetic and kinematic data were obtained on a running jump performed by an elite male high jumper. Torque generator activation timings were varied to minimize the difference between simulation and performance in terms of kinematic and kinetic variables subject to constraints on the joint angles at takeoff to ensure that joints remained within their anatomical ranges of motion. A percentage difference of 6.6% between simulation and recorded performance was obtained. Maximizing the height reached by the mass center during the flight phase by varying torque generator activation timings resulted in a credible height increase of 90 mm compared with the matching simulation. These two results imply that the model is sufficiently complex and has appropriate strength parameters to give realistic simulations of running jumps for height.

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