Mangine Gerald T, McGeehan Kristyn C, King Wil, Hines Ashley, Henley James W, Grazer Jacob L, Esmat Tiffany A, McLester John R
Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA 30144, USA.
Sports (Basel). 2025 May 22;13(6):156. doi: 10.3390/sports13060156.
Relevant skills and physiological traits vary between high-intensity functional training (HIFT) workouts, but it is unknown how altering each programming detail affects their importance. To examine the effect of workout duration on relationships to HIFT performance, twelve men and ten women with ≥2 years of HIFT experience (29.3 ± 7.1 years, 171 ± 7 cm, 80.5 ± 15.6 kg) completed a baseline visit to assess body composition and performance in vertical jump, barbell thruster, and 2000 m rowing tests. Participants returned twice to randomly complete the same circuit of rowing, barbell thrusters, and box jumps for "as many repetitions as possible" in 5 or 15 min. Performance was described by expressed kinetics on each exercise, overall and individual exercises, repetition completion rates and volume load completed, and transition times. Spearman correlation analysis revealed several expected relationships ( < 0.05) but also differences between workout durations. Performance measures, especially rowing (time: ρ = -0.89 to -0.94; power: ρ = 0.88 to 0.93), were more applicable to the 5 min workout. Experience and body composition measures (ρ = -0.47 to -0.50) were more often related to the 15 min transition strategy. These data suggest that increasing workout duration alters the importance of relevant predictive traits.
高强度功能性训练(HIFT)锻炼之间的相关技能和生理特征各不相同,但尚不清楚改变每个训练细节会如何影响它们的重要性。为了研究锻炼时长对与HIFT表现关系的影响,12名男性和10名女性(有≥2年HIFT经验,年龄29.3±7.1岁,身高171±7厘米,体重80.5±15.6千克)进行了一次基线访视,以评估身体成分以及在垂直纵跳、杠铃推举和2000米划船测试中的表现。参与者返回两次,随机在5分钟或15分钟内尽可能多地重复完成划船、杠铃推举和箱式跳跃的相同循环动作。通过每项运动、整体和单项运动的表现动力学、重复完成率和完成的体积负荷以及转换时间来描述表现。斯皮尔曼相关性分析揭示了几种预期的关系(<0.05),但锻炼时长之间也存在差异。表现指标,尤其是划船(时间:ρ=-0.89至-0.94;功率:ρ=0.88至0.93),更适用于5分钟的锻炼。经验和身体成分指标(ρ=-0.47至-0.50)更常与15分钟的转换策略相关。这些数据表明,增加锻炼时长会改变相关预测特征的重要性。