No abstract

Training load monitoring is a core aspect of modern-day sport science practice. Collecting, cleaning, analysing, interpreting, and disseminating load data is usually undertaken with a view to improve player performance and/or manage injury risk. To target these outcomes, practitioners attempt to optimise load at different stages throughout the training process, like adjusting individual sessions, planning day-to-day, periodising the season, and managing athletes with a long-term view. With greater investment in training load monitoring comes greater expectations, as stakeholders count on practitioners to transform data into informed, meaningful decisions. In this editorial we highlight how training load monitoring has many potential applications and cannot be simply reduced to one metric and/or calculation. With experience across a variety of sporting backgrounds, this editorial details the challenges and contextual factors that must be considered when interpreting such data. It further demonstrates the need for those working with athletes to develop strong communication channels with all stakeholders in the decision-making process. Importantly, this editorial highlights the complexity associated with using training load for managing injury risk and explores the potential for framing training load with a performance and training progression mindset.

ObjectiveDetermining the prevalence of mental health symptoms (MHS) among Australian professional footballers compared with former players. A secondary aim was to assess whether MHS were associated with recent injury and psychological resilience.MethodsThis cross-sectional study included 149 male (mean age: 24 years) and 132 female (mean age: 23 years) Australian A-League and W-League professional footballers (study group) and 81 former male footballers (control group, mean age: 39 years) for analysis. MHS and psychological resilience were assessed through validated questionnaires. Severe injuries were assessed through a single question. The adjusted Wald method was used to assess the primary aim. Logistic regression analyses was used to assess the secondary aim.ResultsThe most prevalent MHS among active footballers and former footballers was sport-related psychological distress (63%) and alcohol misuse (69%), respectively. Global psychological distress, sleep disturbance, alcohol misuse and substance misuse were significantly lower among active male footballers than among former players. Increased psychological resilience among active male footballers was associated with a decrease in symptoms of sport-related and global psychological distress, anxiety and depression of 9%, 14%, 23% and 20%, respectively. Increased psychological resilience among female players was associated with 10% decrease in symptoms of depression. Problem gambling and sleep disturbance was associated with injury in the previous 6 months among active male and female footballers, respectively.ConclusionsMHS are prevalent among active and former professional footballers. Higher level of psychological resilience is associated with decreased reporting of MHS. Severe injury is associated with problem gambling and sleep disturbance.