In 2016, a multidisciplinary panel of international experts in athlete management participated in a conference to review methods for athlete monitoring. This paper discusses and summarizes principles and concepts of contemporary cutting-edge applied research in the science of athlete management in elite sport.
Logit.AI draws upon these principles to design a revolutionary product that is in line with cutting-edge research and practices.
Congruent with our design philosophy here at Logit.AI, we incorporate components of mental health to improve our designs for establishing stress-reducing and recovery-promoting behaviours for early-intervention.
A critical meta-analysis of psychosocial factors (the interaction between individual psychological factors and social environment) reveals a strong positive association between injury risk and high-levels of sustained stress. Furthermore, psychosocial-based intervention studies demonstrate a significant reduction in injuries in comparison to control groups. This article provides compelling evidence for the incorporation of psychosocial-based intervention and management when designing injury prevention programs.
Has the athlete trained enough to return to play safely? The acute chronic workload ration permits clinicians to quantify a player's risk of subsequent injury.
The return-to-play decision is the subject of intense research. Often, sports medicine clinicians and coaches will have to decide between returning a player to play too early and risking injury recurrence while trying to maintain adequate roster sizes.
In this systematic review of published literature, a comprehensive checklist of criterion is provided. In addition, a set of practices designed to assess components of the checklist are given. Among these practices include rigorous psychosocial assessment.
In line with these standards, Logit.AI is building a sophisticated and easy-to-use platform for coaches and sport medicine practitioners to perform the necessary assessments required to make informed return-to-play decisions to promote athlete health and performance.
The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data
In this editorial, a group of sport medicine clinicians from a variety of professional sporting bodies including the NFL, NBA, and Champions League, provide an expert opinion of effective athlete monitoring.
A key component of their recommended practices includes the assessment of athlete perceptual well-being.
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