Abstract：
OBJECTIVE: To (1) examine within-individual player dose-response associations between selected training-load measures and changes in aerobic fitness level via submaximal exercise heart rate (HRex%) and (2) measure the relationships between these dose-response associations with basal HRex% (to study the influence of fitness level on dose-response relationship).
METHODS: During an in-season phase, selected training-load measures including total minutes, total distance, mechanical work (the sum number of accelerations and decelerations > 3 m2), high metabolic load distance, and Edwards\' training impulse were collected via Global Positioning System and heart-rate sensors for analyzing accumulated load. A submaximal warm-up test was used repeatedly before and after 9 phases to elicit HRex% and track fitness changes at an individual level.
RESULTS: Negative to positive extensive ranges of within-individual associations were found among players for different metrics (r = -.84 to .89). The relationship between pooled HRex% (basal fitness) and dose-response correlations showed inverse very large (r = -.71) and large (r = -.65) values for accumulated weekly minutes and distance. However, moderate values were found for all other measures (r = -.35 to -.42).
CONCLUSIONS: Individual players show extensive different ranges of dose-response associations with training measures. The dose-response association is influenced by players\' fitness level, and players with lower fitness levels show stronger inverse relationships with accumulated minutes and total distance.
METHODS: During an in-season phase, selected training-load measures including total minutes, total distance, mechanical work (the sum number of accelerations and decelerations > 3 m2), high metabolic load distance, and Edwards\' training impulse were collected via Global Positioning System and heart-rate sensors for analyzing accumulated load. A submaximal warm-up test was used repeatedly before and after 9 phases to elicit HRex% and track fitness changes at an individual level.
RESULTS: Negative to positive extensive ranges of within-individual associations were found among players for different metrics (r = -.84 to .89). The relationship between pooled HRex% (basal fitness) and dose-response correlations showed inverse very large (r = -.71) and large (r = -.65) values for accumulated weekly minutes and distance. However, moderate values were found for all other measures (r = -.35 to -.42).
CONCLUSIONS: Individual players show extensive different ranges of dose-response associations with training measures. The dose-response association is influenced by players\' fitness level, and players with lower fitness levels show stronger inverse relationships with accumulated minutes and total distance.
摘要：
目的：（1）通过亚最大运动心率（HRex％）检查选定的训练负荷措施与有氧健身水平变化之间的个体内剂量反应关系；（2）测量这些剂量反应关系与基础HRex％之间的关系（以研究健身水平对剂量反应关系的影响）。
方法：在季节阶段，选定的训练负荷措施，包括总分钟数，总距离,机械功(加速和减速的总和>3m2)，高代谢负荷距离，和爱德华兹的训练冲动是通过全球定位系统和心率传感器收集的，用于分析累积的负荷。在9个阶段之前和之后，反复使用次最大热身测试，以引起HRex％并跟踪个体水平的适应性变化。
结果：在不同指标的参与者之间发现了从负到正的广泛范围的个体内关联（r=-.84至.89）。合并的HRex％（基础适应度）与剂量反应相关性之间的关系显示，每周累积的分钟数和距离的数值成反比，非常大（r=-.71）和大（r=-.65）。然而,所有其他指标均为中等值（r=-.35至-.42）。
结论：个体运动员与训练措施表现出广泛不同的剂量反应关联。剂量-反应关联受球员健身水平的影响，健身水平较低的球员与累计分钟数和总距离表现出较强的反比关系。
方法：在季节阶段，选定的训练负荷措施，包括总分钟数，总距离,机械功(加速和减速的总和>3m2)，高代谢负荷距离，和爱德华兹的训练冲动是通过全球定位系统和心率传感器收集的，用于分析累积的负荷。在9个阶段之前和之后，反复使用次最大热身测试，以引起HRex％并跟踪个体水平的适应性变化。
结果：在不同指标的参与者之间发现了从负到正的广泛范围的个体内关联（r=-.84至.89）。合并的HRex％（基础适应度）与剂量反应相关性之间的关系显示，每周累积的分钟数和距离的数值成反比，非常大（r=-.71）和大（r=-.65）。然而,所有其他指标均为中等值（r=-.35至-.42）。
结论：个体运动员与训练措施表现出广泛不同的剂量反应关联。剂量-反应关联受球员健身水平的影响，健身水平较低的球员与累计分钟数和总距离表现出较强的反比关系。
