Faculty of Kinesiology, University of Calgary, Calgary, AB, CANADA.
School of Kinesiology, Western University, London, ON, CANADA.
Med Sci Sports Exerc. 2024 Jul 1;56(7):1307-1316. doi: 10.1249/MSS.0000000000003406. Epub 2024 Feb 3.
This study assessed the effect of individualized, domain-based exercise intensity prescription on changes in maximal oxygen uptake (V̇O 2max ) and submaximal thresholds.
Eighty-four young healthy participants (42 females, 42 males) were randomly assigned to six age, sex, and V̇O 2max -matched groups (14 participants each). Groups performed continuous cycling in the 1) moderate (MOD), 2) lower heavy (HVY1), and 3) upper heavy-intensity (HVY2) domain; interval cycling in the form of 4) high-intensity interval training (HIIT) in the severe-intensity domain, or 5) sprint-interval training (SIT) in the extreme-intensity domain; or no exercise for 6) control (CON). All training groups, except SIT, were work-matched. Training participants completed three sessions per week for 6 wk with physiological evaluations performed at PRE, MID, and POST intervention.
Compared with the change in V̇O 2max (∆V̇O 2max ) in CON (0.1 ± 1.2 mL·kg -1 ·min -1 ), all training groups, except MOD (1.8 ± 2.7 mL·kg -1 ·min -1 ), demonstrated a significant increase ( P < 0.05). HIIT produced the highest increase (6.2 ± 2.8 mL·kg -1 ·min -1 ) followed by HVY2 (5.4 ± 2.3 mL·kg -1 ·min -1 ), SIT (4.7 ± 2.3 mL·kg -1 ·min -1 ), and HVY1 (3.3 ± 2.4 mL·kg -1 ·min -1 ), respectively. The ΔPO at the estimated lactate threshold ( θLT ) was similar across HVY1, HVY2, HIIT, and SIT, which were all greater than CON ( P < 0.05). The ΔV̇O 2 and ΔPO at θLT for MOD was not different from CON ( P > 0.05). HIIT produced the highest ΔPO at maximal metabolic steady state, which was greater than CON, MOD, and SIT ( P < 0.05).
This study demonstrated that i) exercise intensity is a key component determining changes in V̇O 2max and submaximal thresholds and ii) exercise intensity domain-based prescription allows for a homogenous metabolic stimulus across individuals.
本研究评估了基于个体化、域的运动强度处方对最大摄氧量(V̇O2max)和次最大阈值变化的影响。
84 名年轻健康参与者(42 名女性,42 名男性)被随机分为六组,每组年龄、性别和 V̇O2max 匹配。组 1 进行连续的中等强度(MOD)、2 个低强度高强度(HVY1)和 3 个高强度域的运动;组 2 以严重强度域的高强度间歇训练(HIIT)或极端强度域的冲刺间歇训练(SIT)的形式进行间歇运动;组 3 进行无运动的对照(CON)。除 SIT 外,所有训练组均进行了工作匹配。训练参与者每周进行三次训练,持续 6 周,在干预前(PRE)、中期(MID)和后期(POST)进行生理评估。
与 CON 组(0.1±1.2mL·kg-1·min-1)相比,除 MOD 组(1.8±2.7mL·kg-1·min-1)外,所有训练组的 V̇O2max(ΔV̇O2max)均有显著增加(P<0.05)。HIIT 产生的最大增加(6.2±2.8mL·kg-1·min-1),其次是 HVY2(5.4±2.3mL·kg-1·min-1)、SIT(4.7±2.3mL·kg-1·min-1)和 HVY1(3.3±2.4mL·kg-1·min-1)。在估计的乳酸阈(θLT)处的 ΔPO 在 HVY1、HVY2、HIIT 和 SIT 之间相似,均大于 CON(P<0.05)。MOD 的 ΔV̇O2 和 θLT 处的 ΔPO 与 CON 无差异(P>0.05)。HIIT 在最大代谢稳态下产生的 ΔPO 最高,大于 CON、MOD 和 SIT(P<0.05)。
本研究表明,i)运动强度是决定 V̇O2max 和次最大阈值变化的关键因素,ii)基于运动强度域的处方可以在个体之间产生均匀的代谢刺激。