Palmer A S, Potteiger J A, Nau K L, Tong R J
Department of Health, Sport, and Exercise Sciences, University of Kansas, Lawrence 66045, USA.
Med Sci Sports Exerc. 1999 Sep;31(9):1336-41. doi: 10.1097/00005768-199909000-00016.
Identification of the maximal lactate steady state (MLSS) involves multiple days of testing. Heart rate (HR), rating of perceived exertion (RPE), breathing frequency (bf), and race pace may be useful in estimating the MLSS, thus allowing for testing to occur in a single day. The purpose of this investigation was to design a single-session protocol for determining MLSS using HR, RPE, bf, and race pace as predictors.
Twelve endurance athletes (mean +/- SD, VO2max 64.6 +/- 7.8 mL x kg(-1) x min(-1)) performed the MLSS protocol run and two 27-min validation runs on a treadmill. Running velocity at 87% HRmax RPE of 12, bf of 32 breaths x min(-1), and race pace were used as a starting point for testing. Blood was collected every 3 min of each 9-min stage of the protocol run and analyzed for lactate (La) concentration. The velocity associated with the MLSS was determined as the average of the stage of La steady state and the stage of La accumulation. Validation runs were performed at a velocity 7.5 m x min(-1) below and 7.5 m x min(-1) above the protocol-determined MLSS. If the slower run exhibited a La steady state and the faster run an accumulation of La, then the protocol-determined MLSS value was considered valid.
The protocol run was successful in predicting the MLSS in 9 out of 12 subjects (P < or = 0.05).
The proposed protocol employing HR, RPE, bf, and race pace as a starting point for testing can be used to identify the MLSS in one testing session.
确定最大乳酸稳态(MLSS)需要进行多天测试。心率(HR)、主观用力程度分级(RPE)、呼吸频率(bf)和比赛配速可能有助于估算MLSS,从而能够在一天内完成测试。本研究的目的是设计一种单节段方案,以HR、RPE、bf和比赛配速作为预测指标来确定MLSS。
12名耐力运动员(平均±标准差,最大摄氧量64.6±7.8 mL·kg⁻¹·min⁻¹)在跑步机上进行了MLSS方案跑以及两次27分钟的验证跑。将87%最大心率时的跑步速度、RPE为12、bf为32次呼吸·min⁻¹以及比赛配速作为测试起点。在方案跑的每个9分钟阶段,每隔3分钟采集一次血液,并分析乳酸(La)浓度。与MLSS相关的速度被确定为La稳态阶段和La积累阶段的平均值。在比方案确定的MLSS低7.5 m·min⁻¹和高7.5 m·min⁻¹的速度下进行验证跑。如果较慢的跑步表现出La稳态,而较快的跑步表现出La积累,那么方案确定的MLSS值被认为是有效的。
方案跑成功预测了12名受试者中9人的MLSS(P≤0.05)。
所提出的以HR、RPE、bf和比赛配速作为测试起点的方案可用于在一次测试中确定MLSS。