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To establish the criterion‐assessed energy and fluid requirements of female netball players, 13 adult players from a senior Netball Super League squad were assessed over 14 days in a cross‐sectional design, representing a two‐ and one‐match microcycle, respectively. Total energy expenditure (TEE) and water turnover (WT) were measured by doubly labeled water. Resting and activity energy expenditure were measured by indirect calorimetry and Actiheart, respectively. Mean 14‐day TEE was 13.46 ± 1.20 MJ day−1 (95% CI, 12.63–14.39 MJ day−1). Resting energy expenditure was 6.53 ± 0.60 MJ day−1 (95% CI, 6.17–6.89 MJ day−1). Physical activity level was 2.07 ± 0.19 arbitrary units (AU) (95% CI, 1.95–2.18 AU). Mean WT was 4.1 ± 0.9 L day−1 (95% CI, 3.6–4.7 L day−1). Match days led to significantly greater TEE than training (+2.85 ± 0.70 MJ day−1; 95% CI, +1.00– +4.70 MJ day−1; p = 0.002) and rest (+4.85 ± 0.70 MJ day−1; 95% CI, +3.13–+6.56 MJ day−1; p < 0.001) days. Matches led to significantly greater energy expenditure (+1.85 ± 1.27 MJ; 95% CI, +0.95–+2.76 MJ day−1; p = 0.001) than court‐based training sessions. There was no significant difference in TEE (+0.03 ± 0.35 MJ day−1; 95% CI, −0.74–+0.80 MJ day−1; p = 0.936) across weeks. Calibrated Actiheart 5 monitors underestimated TEE (−1.92 ± 1.21 MJ day−1). Energy and fluid turnover were greatest on match days, followed by training and rest days, with no difference across weeks. This study provides criterion‐assessed energy and fluid requirements to inform dietary guidance for female netball players. Highlights: The energy and fluid requirements of female netball players were greatest on match days, followed by training and rest days, with no difference across a one‐ or two‐match weekly microcycle. Therefore, players are encouraged to periodise their intake on a daily basis, aligning with the demands of their training and match schedule.Female netball players have in‐season energy requirements representative of a vigorously active lifestyle (physical activity level: >2.0 arbitrary units). Water turnover varied widely amongst participants (range: 62 mL fat‐free mass [FFM] day−1), while total energy requirements were more homogenous (range: 0.05 MJ FFM day−1).Calibrated Actiheart 5 monitors underestimated female netball player total energy expenditure in comparison to the doubly labelled water criterion (range: −0.38–3.84 MJ day−1). Further research is now required to investigate the validity of Actiheart for measuring team sport athlete energy expenditure. [ABSTRACT FROM AUTHOR]

This study aimed to (1) compare individual player match action characteristics between scholarship, academy, and senior (European Super League, ESL) levels of the rugby league player pathway, and (2) compare match actions between players that have progressed to play ESL and those that did not. Data was collected on 147 players from 95 senior, 69 academy, and 23 scholarship matches over three seasons. Matches were filmed via 2 angles and 26 match action characteristics (e.g. carry, missed tackle) were coded. Linear mixed models identified 48 significant differences in match action characteristics when accounting for playing position between playing levels. Over seventy percent of the differences were defensive match actions, indicating there are higher defensive match demands in the ESL when compared to academy and scholarship match play. Seven and eleven match actions characteristics were identified at scholarship and academy levels that differentiated between players who had progressed to play in the ESL and those who had not. All but one of these characteristics were attacking match actions, indicating a player's attacking qualities are important in their progression to the ESL. These results have implications for both talent identification and long-term athlete development in rugby league. [ABSTRACT FROM AUTHOR]

Determining key performance indicators and classifying players accurately between competitive levels is one of the classification challenges in sports analytics. A recent study applied Random Forest algorithm to identify important variables to classify rugby league players into academy and senior levels and achieved 82.0% and 67.5% accuracy for backs and forwards. However, the classification accuracy could be improved due to limitations in the existing method. Therefore, this study aimed to introduce and implement feature selection technique to identify key performance indicators in rugby league positional groups and assess the performances of six classification algorithms. Fifteen and fourteen of 157 performance indicators for backs and forwards were identified respectively as key performance indicators by the correlation-based feature selection method, with seven common indicators between the positional groups. Classification results show that models developed using the key performance indicators had improved performance for both positional groups than models developed using all performance indicators. 5-Nearest Neighbour produced the best classification accuracy for backs and forwards (accuracy = 85% and 77%) which is higher than the previous method's accuracies. When analysing classification questions in sport science, researchers are encouraged to evaluate multiple classification algorithms and a feature selection method should be considered for identifying key variables. [ABSTRACT FROM AUTHOR]

Objective: In the light of the shortcomings of curriculum-based health promotion in secondary schools, group motivational interviewing provides a potential alternative approach. This two-phase study set out to establish the key components, feasibility and acceptability of a group motivational interviewing intervention, focused on alcohol consumption. Methods: In phase 1, focus groups with 12 students and 8 teachers explored issues with existing health education in Wales. Phase 2 involved the development of a 1-hour group motivational interviewing session to address the issues raised. The session was delivered to two classes of students aged 13-15 years, facilitated by two motivational interviewing practitioners. Sessions were observed and audio-recorded and coded by two researchers using the Assessment of Motivational Interviewing Groups Observer Scale (AMIGOS). Student acceptability of the session was captured using a satisfaction questionnaire. Results: Sessions were consistent with motivational interviewing principles, providing empathic and focused discussion while maximising participants' autonomy and strengths. The majority of students felt listened to during the session, considered it was helpful and felt that they could learn more from this kind of experience. Conclusion: A group motivational interviewing session, developed based on key components identified during focus groups, was shown to be acceptable to students and feasible to deliver in secondary schools. The approach requires further research to establish sustainable delivery mechanisms.