Carnegie Applied Rugby Research Centre, Leeds Beckett University , Leeds, West Yorkshire, UK.
Leeds Rhinos Rugby League Club , Leeds, UK.
J Sports Sci. 2020 Jul;38(14):1674-1681. doi: 10.1080/02640414.2020.1754725. Epub 2020 Apr 21.
This study examined the relative contribution of exercise duration and intensity to team-sport athlete's training load. Male, professional rugby league (n = 10) and union (n = 22) players were monitored over 6- and 52-week training periods, respectively. Whole-session (load) and per-minute (intensity) metrics were monitored (league: session rating of perceived exertion training load [sRPE-TL], individualised training impulse, total distance, BodyLoad™; union: sRPE-TL, total distance, high-speed running distance, PlayerLoad™). Separate principal component analyses were conducted on the load and intensity measures to consolidate raw data into principal components (PC, = 4). The first load PC captured 70% and 74% of the total variance in the rugby league and rugby union datasets, respectively. Multiple linear regression subsequently revealed that session duration explained 73% and 57% of the variance in first load PC, respectively, while the four intensity PCs explained an additional 24% and 34%, respectively. Across two professional rugby training programmes, the majority of the variability in training load measures was explained by session duration (60-70%), while a smaller proportion was explained by session intensity (30%). When modelling the training load, training intensity and duration should be disaggregated to better account for their between-session variability.
本研究考察了运动持续时间和强度对团队运动运动员训练负荷的相对贡献。对 10 名男性职业橄榄球联盟(橄榄球联盟)和 22 名职业橄榄球联盟(橄榄球联盟)运动员进行了 6 周和 52 周的训练期监测。对整个训练时段(负荷)和每分钟(强度)的指标进行了监测(橄榄球联盟:训练感知用力等级(sRPE-TL),个体训练脉冲,总距离,身体负荷(BodyLoad™);橄榄球联盟:sRPE-TL,总距离,高速跑动距离,球员负荷(PlayerLoad™))。对负荷和强度指标进行了单独的主成分分析,将原始数据合并为主成分(PC, = 4)。第一负荷 PC 分别捕获了橄榄球联盟和橄榄球联盟数据集的总方差的 70%和 74%。随后的多元线性回归表明,在橄榄球联盟和橄榄球联盟中,第一负荷 PC 的方差分别有 73%和 57%可以由训练时段来解释,而四个强度 PC 则分别解释了另外的 24%和 34%。在两个职业橄榄球训练项目中,训练负荷测量值的大部分变异性可以用训练时段来解释(约 60-70%),而较小的部分可以用训练强度来解释(约 30%)。在训练负荷建模中,应该对训练强度和持续时间进行细分,以更好地解释其训练时段的变异性。