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通过步行、慢跑或跑步预测最大摄氧量。

Prediction of maximum oxygen consumption from walking, jogging, or running.

作者信息

Larsen Gary E, George James D, Alexander Jeffrey L, Fellingham Gilbert W, Aldana Steve G, Parcell Allen C

机构信息

Department of Physical Education at Brigham Young University, Provo, Utah 84602, USA.

出版信息

Res Q Exerc Sport. 2002 Mar;73(1):66-72. doi: 10.1080/02701367.2002.10608993.

DOI:10.1080/02701367.2002.10608993
PMID:11926486
Abstract

The purpose of this study was to develop a submaximal, 1.5-mile endurance test for college-aged students using walking, jogging, or running exercise. College students (N = 101: 52 men, 47 women), ages 18-26years, successfully completed the 1.5-mile test twice, and a maximal graded exercise test. Participants were instructed to achieve a "somewhat hard" exercise intensity (rating of perceived exertion = 13) and maintain a steady pace throughout each 1.5-mile test. Multiple linear regression generated the following prediction equation: VO2 max = 65.404 + 7.707 x gender (1 = male; 0 =female) - 0.159 x body mass (kg) - 0.843 x elapsed exercise time (min; walking, jogging orrunning). This equation shows acceptable validity (R = .86, SEE = 3.37 ml x kg(-1) min(-1)) similar to the accuracy of comparable field tests, and reliability (ICC = .93) is also comparable to similar models. The statistical shrinkage is minimal (R(press) = 0.85, SEE(press) = 3.51 ml x kg(-) x min(-1)); hence, it should provide comparable results when applied to other similar samples. A regression model (R =.90, and SEE = 2.87 ml x kg(-1) min(-1)) including exercise heart rate was also developed: VO2 max = 100.162 +/- 7.301 x gender(1 = male; 0 =female) - 0.164 x body mass (kg) - 1.273 x elapsed exercise time -0.156 x exercise heart rate, for those who have access to electronic heart rate monitors. This submaximal 1.5-mile test accurately predicts maximal oxygen uptake (VO2max) without measuring heart rate and is similar to the 1.5-mile run in that it allowsfor mass testing and requires only a flat, measured distance and a stopwatch. Further, it can accommodate a wide range of fitness levels (from walkers to runners).

摘要

本研究的目的是为大学生开发一种次最大强度的1.5英里耐力测试,采用步行、慢跑或跑步运动。18至26岁的大学生(N = 101:52名男性,47名女性)成功完成了两次1.5英里测试以及一次最大分级运动测试。参与者被要求达到“有点费力”的运动强度(主观用力程度评级 = 13),并在每次1.5英里测试中保持稳定的速度。多元线性回归得出以下预测方程:最大摄氧量 = 65.404 + 7.707×性别(1 = 男性;0 = 女性) - 0.159×体重(kg) - 0.843×运动时间(分钟;步行、慢跑或跑步)。该方程显示出可接受的有效性(R = 0.86,标准误 = 3.37 ml×kg⁻¹×min⁻¹),与类似现场测试的准确性相似,并且可靠性(组内相关系数 = 0.93)也与类似模型相当。统计收缩最小(交叉验证R = 0.85,交叉验证标准误 = 3.51 ml×kg⁻¹×min⁻¹);因此,当应用于其他类似样本时,它应该能提供可比的结果。还开发了一个包含运动心率的回归模型(R = 0.90,标准误 = 2.87 ml×kg⁻¹×min⁻¹):对于可以使用电子心率监测器的人,最大摄氧量 = 100.162 ± 7.301×性别(1 = 男性;0 = 女性) - 0.164×体重(kg) - 1.273×运动时间 - 0.156×运动心率。这种次最大强度的1.5英里测试无需测量心率就能准确预测最大摄氧量(VO₂max),并且与1.5英里跑类似,它允许进行大规模测试,只需要一个平坦的、测量好的距离和一个秒表。此外,它可以适应广泛的健身水平(从步行者到跑步者)。

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