Lyons Jason, Allsopp Adrian, Bilzon James
Institute of Naval Medicine, Environmental Medicine Unit, Alverstoke Gosport, Hampshire, UK.
Occup Med (Lond). 2005 Aug;55(5):380-4. doi: 10.1093/occmed/kqi087. Epub 2005 Apr 28.
To test the hypothesis that measures of aerobic fitness, body mass and indices of body composition will influence the metabolic and cardiovascular demands of simulated load-carriage tasks.
Twenty-eight healthy male volunteers, following assessment of maximal oxygen uptake (O(2)max) and body composition, walked on a treadmill at 4 kph (1.11 m/s) for 60 min on gradients of 0, 3, 6 and 9% whilst carrying backpack loads of 0, 20 and 40 kg. During the final 3 min of each 5-min exercise bout, indirect respiratory calorimetry and heart rate data were collected and the 'steady-state' metabolic O(2) and cardiovascular (heart rate) demands quantified.
Absolute O(2)max (ml/min) produced the strongest correlation (r = -0.64, P < 0.01) with the metabolic demand of heavy load-carriage (40 kg). The body composition index lean body mass/(fat mass + external load) produced a moderate correlation (r = -0.52, P < 0.01) with the metabolic demand of heavy load-carriage. The increases in metabolic and cardiovascular demands were greater when the load carried increased from 20 to 40 kg compared with 0 to 20 kg at all four gradients. A model incorporating anthropometric and physiological characteristics with gradient and load explains 89% of the variability in the metabolic demands of load-carriage compared with 82% using gradient and load alone.
The results show that indices of body composition as well as absolute aerobic power influence the relative metabolic demands of load-carriage. Application of these measurements would ensure selection criteria for load-carriage occupations are based on lean muscle mass rather than running speed.
验证如下假设,即有氧适能指标、体重及身体成分指数会影响模拟负重任务的代谢和心血管需求。
28名健康男性志愿者在评估其最大摄氧量(O₂max)和身体成分后,背负0、20和40千克的背包负荷,在坡度为0%、3%、6%和9%的跑步机上以4千米/小时(1.11米/秒)的速度行走60分钟。在每5分钟运动回合的最后3分钟,收集间接呼吸热量测定法和心率数据,并对“稳态”代谢耗氧量和心血管(心率)需求进行量化。
绝对O₂max(毫升/分钟)与重负荷(40千克)负重时的代谢需求具有最强的相关性(r = -0.64,P < 0.01)。身体成分指数瘦体重/(脂肪量 + 外部负荷)与重负荷负重时的代谢需求具有中等相关性(r = -0.52,P < 0.01)。在所有四个坡度下,当背负的负荷从20千克增加到40千克时,代谢和心血管需求的增加幅度大于从0千克增加到20千克时的幅度。一个将人体测量学和生理学特征与坡度和负荷相结合的模型解释了负重代谢需求中89%的变异性,而仅使用坡度和负荷时这一比例为82%。
结果表明,身体成分指数以及绝对有氧能力会影响负重的相对代谢需求。应用这些测量方法将确保负重职业的选拔标准基于瘦肌肉质量而非跑步速度。