Perceived Training of Junior Speed Skaters versus the Coach's Intention: Does a Mismatch Relate to Perceived Stress and Recovery?

Capturing the Complex Relationship Between Internal and External Training Load: A Data-Driven Approach

BACKGROUND

Training load is typically described in terms of internal and external load. Investigating the coupling of internal and external training load is relevant to many sports. Here, continuous kernel-density estimation (KDE) may be a valuable tool to capture and visualize this coupling.

AIM

Using training load data in speed skating, we evaluated how well bivariate KDE plots describe the coupling of internal and external load and differentiate between specific training sessions, compared to training impulse scores or intensity distribution into training zones.

METHODS

On-ice training sessions of 18 young (sub)elite speed skaters were monitored for velocity and heart rate during 2 consecutive seasons. Training session types were obtained from the coach's training scheme, including endurance, interval, tempo, and sprint sessions. Differences in training load between session types were assessed using Kruskal-Wallis or Kolmogorov-Smirnov tests for training impulse and KDE scores, respectively.

RESULTS

Training impulse scores were not different between training session types, except for extensive endurance sessions. However, all training session types differed when comparing KDEs for heart rate and velocity (both P < .001). In addition, 2D KDE plots of heart rate and velocity provide detailed insights into the (subtle differences in) coupling of internal and external training load that could not be obtained by 2D plots using training zones.

CONCLUSION

2D KDE plots provide a valuable tool to visualize and inform coaches on the (subtle differences in) coupling of internal and external training load for training sessions. This will help coaches design better training schemes aiming at desired training adaptations.

Co-Operative Design of a Coach Dashboard for Training Monitoring and Feedback

Athlete development depends on many factors that need to be balanced by the coach. The amount of data collected grows with the development of sensor technology. To make data-informed decisions for training prescription of their athletes, coaches could be supported by feedback through a coach dashboard. The aim of this paper is to describe the design of a coach dashboard based on scientific knowledge, user requirements, and (sensor) data to support decision making of coaches for athlete development in cyclic sports. The design process involved collaboration with coaches, embedded scientists, researchers, and IT professionals. A classic design thinking process was used to structure the research activities in five phases: empathise, define, ideate, prototype, and test phases. To understand the user requirements of coaches, a survey (n = 38), interviews (n = 8) and focus-group sessions (n = 4) were held. Design principles were adopted into mock-ups, prototypes, and the final coach dashboard. Designing a coach dashboard using the co-operative research design helped to gain deep insights into the specific user requirements of coaches in their daily training practice. Integrating these requirements, scientific knowledge, and functionalities in the final coach dashboard allows the coach to make data-informed decisions on training prescription and optimise athlete development.

The Relationships among Proactive Personality, Work Engagement, and Perceived Work Competence in Sports Coaches: The Moderating Role of Perceived Supervisor Support

Grounded in the job demands-resources model, this study examines the moderating role of supervisor support and the mediating role of sports coaches' work engagement in the relationship between proactive personality and perceived work competence. A total of 261 school sports coaches in Taiwan participated in the study. The results indicated that work engagement positively mediates the relationship between sports coaches' proactive personality and perceived work competence. Separately, supervisor support weakens the link between proactive personality and work engagement but strengthens the relationship between work engagement and perceived work competence; however, taken together, supervisor support weakens the indirect effects of proactive personality on perceived work competence through job engagement. Under the boundary condition of perceived supervisor support, the sports coaches' proactive personality is a critical antecedent of perceived work competence through work engagement. We suggest that proactive sports coaches are assets for schools because they possess the drive and energy for self-improvement, promoting organizational progress automatically.