Physical Education Grad Program of Gama Filho University, UGF, Rio de Janeiro, Brazil.
J Strength Cond Res. 2012 Jan;26(1):87-93. doi: 10.1519/JSC.0b013e318212e3fd.
The objectives were to propose a new strategy for adjusting aerobic training variables based on the eighth American College of Sports Medicine (ACSM) guidelines and maximal aerobic power (&OV0312;O2max) and to establish energy expenditure (EE) recommendations for training, which depend on a subject's body mass (BM). Exclusively based on aerobic training recommendations that are available in the ACSM guidelines, 16 equally partitioned subcategories were created from the slope of a linear regression between the lower (16.4 ml·kg(-1)·min(-1)) and upper (61.2 ml·kg(-1)·min(-1)) limits of VO(2max) percentile tables and all aerobic variables (intensity: 30-85%Reserve, duration: 60-300 min·wk(-1), frequency: 3-5 d·wk(-1), and EE: 1,000-4,000 kcal·wk). ACSM's EE (EE(ACSM)) recommendation was compared to EE based on VO(2max) (EE(Actual)), BM, exercise intensity and duration combined, for five BM categories (60 to 100 kg). The following equations were generated to adjust aerobic training: Intensity (%(Reserve)) = VO(2max) (ml·kg(-1)·min(-1)) × 1.23 + 9.85, Duration (min·wk(-1)) = VO(2max) × 5.36-27.91, Frequency (d·wk(-1) = VO(2max) × 0.044 + 2.27, EE(ACSM) (kcal·wk(-1)) =VO(2max) × 82.61-1,055.29, and EE(Actual) (kcal·wk(-1)) = ([V(O2max) - 3.5] × Intensity + 3.5) × BM (kg)/200 × Frequency. A comparison of EE(ACSM) and EE(Actual) for 5 BM and 3 aerobic fitness categories demonstrated an effect size classification that is equal or superior to "large" in 9 of 15 comparisons, suggesting that EE(ACSM) adjustment is inadequate at least 60% of the time. Despite the need to verify the adequacy of the linear model and perform future cross-sectional and longitudinal studies, the present proposal first provides criteria to adjust aerobic training variables consistent with subject capacity, thus diminishing the risk of the imprecise aerobic prescription.
目的是根据第八版美国运动医学学院(ACSM)指南和最大有氧能力(&OV0312;O2max)提出一种新的调整有氧训练变量的策略,并为训练制定能量消耗(EE)建议,这取决于受试者的体重(BM)。仅基于 ACSM 指南中提供的有氧训练建议,从 VO(2max) 百分位表的下限(16.4 ml·kg(-1)·min(-1))和上限(61.2 ml·kg(-1)·min(-1))之间线性回归的斜率创建了 16 个等分子类别,以及所有有氧变量(强度:30-85%储备,持续时间:60-300 分钟·wk(-1),频率:3-5 天·wk(-1),EE:1000-4000 卡路里·wk)。将 ACSM 的 EE(EE(ACSM))建议与基于 VO(2max)(EE(Actual))、BM、运动强度和持续时间的 EE 进行比较,对于五个 BM 类别(60 至 100 kg)。生成以下公式以调整有氧训练:强度(%(储备))= VO(2max)(ml·kg(-1)·min(-1))×1.23+9.85,持续时间(分钟·wk(-1))= VO(2max)×5.36-27.91,频率(天·wk(-1))= VO(2max)×0.044+2.27,EE(ACSM)(卡路里·wk(-1))=VO(2max)×82.61-1,055.29,EE(Actual)(卡路里·wk(-1))=([V(O2max) - 3.5]×强度+3.5)×BM(kg)/200×频率。对 5 个 BM 和 3 个有氧健身类别进行的 EE(ACSM)和 EE(Actual)比较表明,在 15 次比较中有 9 次的效果大小分类等于或优于“大”,表明 EE(ACSM)调整至少在 60%的时间内是不充分的。尽管需要验证线性模型的充分性并进行未来的横断面和纵向研究,但本研究首次提供了根据受试者能力调整有氧训练变量的标准,从而降低了不准确的有氧处方的风险。