Koerhuis Claudy L, Veenstra Bertil J, van Dijk Jos J, Delleman Nico J
TNO Defence, Security and Safety, Business Unit Human Factors, P. O. Box 23 3769 ZG Soesterberg, The Netherlands.
Mil Med. 2009 Dec;174(12):1300-7. doi: 10.7205/milmed-d-00-7508.
The objective of this study was to establish the best prediction for endurance time of combat soldiers marching with extremely heavy loads. It was hypothesized that loads relative to individual characteristics (% maximal load carry capacity [MLCC], % body mass, % lean body mass) would better predict endurance time than load itself. Twenty-three male combat soldiers participated. MLCC was determined by increasing the load by 7.5 kg every 4 minutes until exhaustion. The marching velocity and gradient were 3 km.h(-1) and 5%, respectively. Endurance time was determined carrying 70, 80, and 90% of MLCC. MLCC was on average 102.6 kg +/- 11.6. Load expressed as % MLCC was the best predictor for endurance time (R2 = 0.45). Load expressed as % body mass, as % lean body mass, and absolute load predicted endurance time less well (R2 = 0.30, R2 = 0.24, and R2 = 0.23, respectively). On the basis of these results, it is recommended to assess the MLCC of individual combat soldiers.
本研究的目的是确定对背负极重负荷行军的战斗士兵耐力时间的最佳预测指标。研究假设,相对于个体特征的负荷(最大负荷携带能力[MLCC]的百分比、体重百分比、去脂体重百分比)比负荷本身能更好地预测耐力时间。23名男性战斗士兵参与了研究。通过每4分钟增加7.5千克负荷直至力竭来确定MLCC。行军速度和坡度分别为3千米/小时和5%。分别背负70%、80%和90%的MLCC来确定耐力时间。MLCC平均为102.6千克±11.6千克。以MLCC百分比表示的负荷是耐力时间的最佳预测指标(R2 = 0.45)。以体重百分比、去脂体重百分比表示的负荷以及绝对负荷对耐力时间的预测效果较差(R2分别为0.30、0.24和0.23)。基于这些结果,建议评估个体战斗士兵的MLCC。