Tactical Research Unit, Bond University, Robina, Queensland, Australia.
School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.
J Strength Cond Res. 2024 Nov 1;38(11):1951-1958. doi: 10.1519/JSC.0000000000004885. Epub 2024 Jul 23.
Campbell, P, Maupin, D, Lockie, RG, Dawes, JJ, Simas, V, Canetti, E, Schram, B, and Orr, R. The development of normative fitness data and analyzing the relationships between 20MSFT and 2.4-km run performance in Australian police recruits. J Strength Cond Res 38(11): 1951-1958, 2024-Aerobic fitness testing plays a significant role in the academy training of law enforcement recruits. There is a lack of normative data for law enforcement recruits and substantial interchangeability for choice of field-based aerobic tests. Therefore, this study aimed to develop normative percentile rankings for the 20-m multistage fitness tests (20MSFT) and 2.4-km run specific to law enforcement recruits; and to analyze the relationship between the 2 tests by linear regression. Data from 5 cohorts of law enforcement recruits completing 20MSFT ( n = 1,536) and 2.4-km run ( n = 1,499) testing during basic training at an Australian Police Academy were retrospectively analyzed. Percentile ranks were calculated (20th, 40th, 50th, 60th, 80th, and 99th) based on the number of shuttles completed and time (seconds) to complete the 2.4-km run. Results were split by sex and age (i.e., <20 years, 20-29 years, 30-39 years, and 40-49 years). Linear regression analyzed the relationship between the 20MSFT to the 2.4-km run (using both seconds and km·h -1 ), producing predictive equations to translate scores between the 2 assessments. These data presented the first detailed normative values by age and sex for Australian law enforcement recruits. Furthermore, the results demonstrated regression models could explain 65-74% of the variance observed ( r2 = 0.649-0.741) between 20MSFT performance and 2.4-km run performance. This study's findings allow for normative performance for the purpose of benchmarking fitness, setting performance goal, and rehabilitation from injury. In addition, a valid conversion through a linear regression affords cross-agency comparisons and temporal changes in test selection/recruit cohorts.
坎贝尔、P、莫平、D、洛克、RG、道斯、JJ、西马斯、V、卡内蒂、E、施拉姆、B 和奥尔，R. 澳大利亚警察新兵的 20MSFT 和 2.4 公里跑表现之间关系的规范体能数据开发和分析。有氧健身测试在执法新兵的学院培训中起着重要作用。执法新兵缺乏规范数据，并且对于选择基于场地的有氧测试存在很大的可互换性。因此，本研究旨在为执法新兵制定特定的 20 米多阶段体能测试（20MSFT）和 2.4 公里跑的百分位排名；并通过线性回归分析这两项测试之间的关系。对在澳大利亚警察学院基本训练期间完成 20MSFT（n=1536）和 2.4 公里跑（n=1499）测试的 5 批执法新兵的数据进行了回顾性分析。根据完成的穿梭次数和完成 2.4 公里跑的时间（秒）计算了百分位排名（第 20、40、50、60、80 和 99 位）。结果按性别和年龄（即<20 岁、20-29 岁、30-39 岁和 40-49 岁）进行了划分。线性回归分析了 20MSFT 与 2.4 公里跑之间的关系（使用秒和 km·h -1 ），生成了用于在两项评估之间转换分数的预测方程。这些数据提供了澳大利亚执法新兵的年龄和性别详细的首次规范值。此外，结果表明，回归模型可以解释 20MSFT 表现和 2.4 公里跑表现之间观察到的 65-74%的方差（r2=0.649-0.741）。本研究的结果允许进行规范表现，以用于基准测试、设定表现目标和从受伤中康复。此外，线性回归的有效转换允许跨机构比较和测试选择/新兵群体的时间变化。
