Puga Guilherme Morais, Kokubun Eduardo, Simões Herbert Gustavo, Nakamura Fabio Yuzo, Campbell Carmen Sílvia Grubert
Catholic University of Brasília, 72022-900 Brasília, DF, Brazil.
ScientificWorldJournal. 2012;2012:769431. doi: 10.1100/2012/769431. Epub 2012 May 1.
The aim of this study was to verify the possibility of lactate minimum (LM) determination during a walking test and the validity of such LM protocol on predicting the maximal lactate steady-state (MLSS) intensity.
Eleven healthy subjects (24.2 ± 4.5 yr; 74.3 ± 7.7 kg; 176.9 ± 4.1 cm) performed LM tests on a treadmill, consisting of walking at 5.5 km · h⁻¹ and with 20-22% of inclination until voluntary exhaustion to induce metabolic acidosis. After 7 minutes of recovery the participants performed an incremental test starting at 7% incline with increments of 2% at each 3 minutes until exhaustion. A polynomial modeling approach (LMp) and a visual inspection (LMv) were used to identify the LM as the exercise intensity associated to the lowest [bLac] during the test. Participants also underwent to 2-4 constant intensity tests of 30 minutes to determine the MLSS intensity.
There were no differences among LMv (12.6 ± 1.7%), LMp (13.1 ± 1.5%), and MLSS (13.6 ± 2.1%) and the Bland and Altman plots evidenced acceptable agreement between them.
It was possible to identify the LM during walking tests with intensity imposed by treadmill inclination, and it seemed to be valid on identifying the exercise intensity associated to the MLSS.
本研究旨在验证在步行测试中测定乳酸最低值(LM)的可能性,以及这种LM方案在预测最大乳酸稳态(MLSS)强度方面的有效性。
11名健康受试者(24.2±4.5岁;74.3±7.7千克;176.9±4.1厘米)在跑步机上进行LM测试,包括以5.5千米·小时⁻¹的速度行走,并保持20 - 22%的坡度,直至自愿力竭以诱发代谢性酸中毒。恢复7分钟后,参与者进行递增测试,从7%的坡度开始,每3分钟增加2%,直至力竭。采用多项式建模方法(LMp)和目视检查(LMv)来确定LM为测试期间与最低[血乳酸]相关的运动强度。参与者还进行了2 - 4次30分钟的恒定强度测试,以确定MLSS强度。
LMv(12.6±1.7%)、LMp(13.1±1.5%)和MLSS(13.6±2.1%)之间无差异,Bland - Altman图表明它们之间具有可接受的一致性。
在跑步机坡度设定强度的步行测试中能够确定LM,并且它在识别与MLSS相关的运动强度方面似乎是有效的。