Purpose This study aimed to describe athlete workload over the course of a four-year collegiate lacrosse career.Methods Workload was evaluated each day of training and games using global positioning system microtechno...Purpose This study aimed to describe athlete workload over the course of a four-year collegiate lacrosse career.Methods Workload was evaluated each day of training and games using global positioning system microtechnology.Total workload for each athlete was calculated for each season of each year for total distance,high-intensity distance,accelerations,decelerations,and sprints.Data were tabulated as absolute and relative workloads with absolute workload representing an individual athlete and relative workload representing that athlete’s percentage of team mean workload.Results The workload of the entire lacrosse team was collected over four years containing the full career of six athletes.Across the five workload variables analyzed,athletes either maintained a workload near team mean workload or demonstrated an increase in workload towards the end of their careers.Conclusion As careers progressed,the variation in athlete workload decreased,and athletes approached the team’s average workload.Microtechnology may be useful in monitoring athlete workload over the course of a career.展开更多
文摘Purpose This study aimed to describe athlete workload over the course of a four-year collegiate lacrosse career.Methods Workload was evaluated each day of training and games using global positioning system microtechnology.Total workload for each athlete was calculated for each season of each year for total distance,high-intensity distance,accelerations,decelerations,and sprints.Data were tabulated as absolute and relative workloads with absolute workload representing an individual athlete and relative workload representing that athlete’s percentage of team mean workload.Results The workload of the entire lacrosse team was collected over four years containing the full career of six athletes.Across the five workload variables analyzed,athletes either maintained a workload near team mean workload or demonstrated an increase in workload towards the end of their careers.Conclusion As careers progressed,the variation in athlete workload decreased,and athletes approached the team’s average workload.Microtechnology may be useful in monitoring athlete workload over the course of a career.
