Buresh Robert J, Berg Kris E, Noble John M
Department of Physical Therapy Education, University of Nebraska Medical Center, Omaha 68198, USA.
J Strength Cond Res. 2004 Aug;18(3):504-7. doi: 10.1519/13273.1.
The purpose of this investigation was to explore the relationship between velocity of lactate threshold (vLT) and various measures of body mass and composition: mass, lean mass, fat mass, percent body fat (% fat), and body surface area (BSA). We hypothesized that mass would be inversely related to vLT, and that differences in measures of body mass and composition would account for a significant amount of variability in vLT. A total of 21 healthy male runners served as subjects. Body composition was assessed by hydrostatic weighing. A significant negative relationship (r = -0.759, p < or = 0.01) was between body mass and vLT. The coefficient of determination between vLT and body mass indicated that nearly 58% of the variability in vLT was explained by body mass in these subjects. Significant relationships were also between vLT and BSA (r = -0.72, p < or = 0.01), fat mass (r = -0.70, p < or = 0.01), % fat (r = -0.59, p < or = 0.01), and lean mass (r = -0.41, p < or = 0.05). Linear regression yielded the following model: y = 369.48 - 1.7343 (X), where y = predicted vLT (m.min(-1)) and X = body mass (kilograms) (SEE = 15.45). Velocity of lactate threshold was significantly inversely related with body mass in a group of male runners. The calculated coefficient of determination suggests that nearly 58% of the variability in vLT was explained by body mass. The present data suggest consideration of categorizing participants in 'road runs' by body mass to equate competition, as is done in other sports (e.g., weightlifting).
本研究的目的是探讨乳酸阈速度(vLT)与身体质量和组成的各种指标之间的关系:体重、瘦体重、脂肪量、体脂百分比(%脂肪)和体表面积(BSA)。我们假设体重与vLT呈负相关,并且身体质量和组成指标的差异将占vLT中显著比例的变异性。共有21名健康男性跑步者作为受试者。通过水下称重评估身体组成。体重与vLT之间存在显著的负相关(r = -0.759,p≤0.01)。vLT与体重之间的决定系数表明,在这些受试者中,vLT中近58%的变异性可由体重解释。vLT与BSA(r = -0.72,p≤0.01)、脂肪量(r = -0.70,p≤0.01)、%脂肪(r = -0.59,p≤0.01)和瘦体重(r = -0.41,p≤0.05)之间也存在显著关系。线性回归得出以下模型:y = 369.48 - 1.7343(X),其中y = 预测的vLT(m·min⁻¹),X = 体重(千克)(标准误差 = 15.45)。在一组男性跑步者中,乳酸阈速度与体重显著负相关。计算得出的决定系数表明,vLT中近58%的变异性可由体重解释。目前的数据表明,可考虑像其他运动(如举重)那样,根据体重对“公路跑”参与者进行分类,以使比赛公平。