The Development and Evaluation of a Training Monitoring System for Amateur Rugby Union

The design and evaluation of an integrated training load and injury/illness surveillance system in competitive swimming

OBJECTIVE

To design and evaluate an integrated training load monitoring and injury/illness surveillance system in a competitive swimming environment.

DESIGN

Descriptive/mixed methods.

SETTING

Swim Ireland National Training Centres.

PARTICIPANTS

Fourteen competitive athletes and seven coaches/medical data collectors participated in the evaluation process.

OUTCOME MEASURES

System satisfaction, usefulness and burden were evaluated. Barriers to the implementation and effectiveness of the system were explored.

RESULTS

Most athletes were 'extremely' or 'very' satisfied with the overall data collection process and also found it to be 'extremely' or 'very' useful in the training centre environment. All practitioners were 'extremely satisfied with the system and found it to be either 'extremely' or 'very' useful in their role. Process constraints and data access and control were significant themes related to the athletes, while practitioners highlighted communication and cooperation amongst stakeholders, layering context to the data, maintaining data integrity and the coach's influence in the monitoring process as being important to the monitoring/surveillance process.

CONCLUSIONS

Training load monitoring and injury/illness surveillance are necessary to elevate the standard of prospective injury/illness prevention research. Integrated systems should be designed in line with key consensus statements, while also being implemented in a way that counteracts the challenges within the real-world training environment.

Common Issues and Differences in Motivational Support and the Effects of Rugby for the U-15 and U-16 National Teams

This study determines the differences in opinion of U-15 (20 boys) and U-16 (29 boys) rugby players from Romanian national teams, regarding motivational support (MS) and the effects/benefits (EB) of the sport. The evaluation questionnaire (based on 21 items with closed answers and 7 items with free answers) was applied between 29 November 2019 and 13 December 2019. The statistical calculation indicates the absence of significant differences between the groups for most items, with the exception of financial motivation (where the U-16 group has a higher score, p < 0.05) and the usefulness of rugby for the population as a variant of active leisure (where the U-15 group has a higher score). However, U-15 athletes are more motivated by the examples of elite players, have increased involvement in terms of passion in training and competitions, and assign high scores to their relationships with the coach and teammates, while U-16 players are more optimistic about self-perceived skills as the basis of success in rugby. The U-15 team is more confident regarding most of the benefits of a rugby game, and those in the U-16 team have superior values in the context of favorable effects on attitude, as well as a better ability to concentrate at the levels of academics and sports. Masculine characteristics, the uniqueness, and physical contact are the main factors of attraction for rugby. Over 56% of the players practiced or practice other sports and sports games, with contact sports being at the top. A total of 96% of players suffered injuries, with the legs and arms being the most affected, but 25% of the U-15 group also suffered injuries to the head, with the main causes being physical contact with opponents and the superficiality of the warm-up. Workouts associated with physical training are the most difficult to bear, and the U-15 group is more bored with routine and monotony. A higher level of physical training/self-perceived fitness is the main strength of players, followed by technical and tactical knowledge.

Training load monitoring in team sports: a practical approach to addressing missing data

Training load (TL) is a modifiable risk factor that may provide practitioners with opportunities to mitigate injury risk and increase sports performance. A regular problem encountered by practitioners, however, is the issue of missing TL data. The purpose of this study was to examine the impact of missing TL data in team sports and to offer a practical and effective method of missing value imputation (MVI) to address this. Session rating of perceived exertion (sRPE) data from 10 male professional soccer players (age, 24.8 ± 5.0 years; height, 181.2 ± 5.1 cm; mass, 78.7 ± 6.4 kg) were collected over a 32-week season. Data were randomly removed at a range of 5-50% in increments of 5% and data were imputed using 12 MVI methods. Performance was measured using the normalized root-mean-square error and mean of absolute deviations. The best-fitting MVI method across all levels of missingness was Daily Team Mean (DTMean). Not addressing missing sRPE data may lead to more inaccurate calculations of other TL metrics (e.g., acute chronic workload ratio, training monotony, training strain). The DTMean MVI method may provide practitioners with a practical and effective approach to addressing the negative consequences of missing TL data.