Shane Malone1, Adam Owen2, Matt Newton3, Bruno Mendes4, Leo Tiernan5, Brian Hughes6, Kieran Collins5. 1. Human Performance Lab, Institute of Technology Tallaght, Ireland. Electronic address: shane.malone@mymail.ittdublin.ie. 2. Claude Bernard University Lyon, Villeurbanne, Centre de Recherche et d'Innovation sur le Sport (CRIS), France; Servette Centre for Football Research (SCFR), Servette Football Club, Switzerland. 3. Servette Centre for Football Research (SCFR), Servette Football Club, Switzerland. 4. BenficaLab, Sport Lisboa e Benfica Sport Science Department, Portugal. 5. Human Performance Lab, Institute of Technology Tallaght, Ireland. 6. Human Performance Lab, Institute of Technology Tallaght, Ireland; Sport Scotland Institute of Sport, Scotland, United Kingdom.
Abstract
OBJECTIVES: The objective of the investigation was to observe the impact of player wellbeing on the training output of elite soccer players. DESIGN: Prospective cohort design. METHODS: Forty-eight soccer players (age: 25.3±3.1years; height: 183±7cm; mass: 72±7kg) were involved in this single season observational study across two teams. Each morning, pre-training, players completed customised perceived wellbeing questionnaires. Global positioning technology devices were used to measure external load (total distance, total high-speed running distance, high speed running, player load, player load slow, maximal velocity, maximal velocity exposures). Players reported ratings of perceived exertion using the modified Borg CR-10 scale. Integrated training load ratios were also analysed for total distance:RPE, total high speed distance:RPE player load:RPE and player load slow:RPE respectively. RESULTS: Mixed-effect linear models revealed significant effects of wellbeing Z-score on external and integrated training load measures. A wellbeing Z-score of -1 corresponded to a -18±2m (-3.5±1.1%), 4±1m (-4.9±2.1%,) 0.9±0.1kmh-1 (-3.1±2.1%), 1±1 (-4.6±2.9%), 25±3AU (-4.9±3.1%) and 11±0.5AU (-8.9±2.9%) reduction in total high speed distance, high speed distance, maximal velocity, maximal velocity exposures, player load and player load slow respectively. A reduction in wellbeing impacted external:internal training load ratios and resulted in -0.49±0.12mmin-1, -1.20±0.08mmin-1,-0.02±0.01AUmin-1 in total distance:RPE, total high speed distance:RPE and player load slow:RPE respectively. CONCLUSIONS: The results suggest that systematic monitoring of player wellbeing within soccer cohorts can provide coaches with information about the training output that can be expected from individual players during a training session.
OBJECTIVES: The objective of the investigation was to observe the impact of player wellbeing on the training output of elite soccer players. DESIGN: Prospective cohort design. METHODS: Forty-eight soccer players (age: 25.3±3.1years; height: 183±7cm; mass: 72±7kg) were involved in this single season observational study across two teams. Each morning, pre-training, players completed customised perceived wellbeing questionnaires. Global positioning technology devices were used to measure external load (total distance, total high-speed running distance, high speed running, player load, player load slow, maximal velocity, maximal velocity exposures). Players reported ratings of perceived exertion using the modified Borg CR-10 scale. Integrated training load ratios were also analysed for total distance:RPE, total high speed distance:RPE player load:RPE and player load slow:RPE respectively. RESULTS: Mixed-effect linear models revealed significant effects of wellbeing Z-score on external and integrated training load measures. A wellbeing Z-score of -1 corresponded to a -18±2m (-3.5±1.1%), 4±1m (-4.9±2.1%,) 0.9±0.1kmh-1 (-3.1±2.1%), 1±1 (-4.6±2.9%), 25±3AU (-4.9±3.1%) and 11±0.5AU (-8.9±2.9%) reduction in total high speed distance, high speed distance, maximal velocity, maximal velocity exposures, player load and player load slow respectively. A reduction in wellbeing impacted external:internal training load ratios and resulted in -0.49±0.12mmin-1, -1.20±0.08mmin-1,-0.02±0.01AUmin-1 in total distance:RPE, total high speed distance:RPE and player load slow:RPE respectively. CONCLUSIONS: The results suggest that systematic monitoring of player wellbeing within soccer cohorts can provide coaches with information about the training output that can be expected from individual players during a training session.
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