Functional assessment for prediction of lifting capacity.
Functional assessment for prediction of lifting capacity.
复制标题
用于预测起重能力的功能评估。
DOI：
10.1097/00007632-199405000-00003
复制
发表时间：
1994
期刊：
影响因子：
3
通讯作者：
MacMillan,M
中科院分区：
文献类型：
--
作者：
Wheeler,DL;Graves,JE;Miller,GJ;O'Connor,P;MacMillan,M
目的：本研究探讨了从峰值等距腰伸扭矩和次最大举重力学来预测最大功能性举重能力的能力。方法：对26名年龄在18 ~ 39岁的健康男女进行峰等距腰伸扭矩测量。此外，当他们举起一个次最大负荷时，他们的举重力学被评估。然后用线性回归模型从峰值扭矩和次最大动力学分析中预测每个受试者的最大举升能力（kg）。结果：受试者的预测最大体重与实际最大体重的平均值无显著差异（分别为50.3+/-15.6 kg和48.5+/-17.0 kg, P < 0.05）。预测值与标准值相关性较高（r= 0.96），预测总误差为5.1 kg，占实际最大值的10.5%。结论：该多方面的功能评估模型包括亚最大举和最大等距腰伸强度的生物力学分析，可以准确预测受试者的最大功能举能力。
Objective: This study investigated the ability to predict maximal functional lifting capacity from peak isometric lumbar extension torque and submaximal lifting mechanics.Methods: Peak isometric lumbar extension torques were measured on 26 healthy men and women, ages 18 to 39 years. In addition, their lifting mechanics were evaluated while they lifted a submaximal load. Each subject's maximal lifting capacity (kg) then was predicted from the peak torque and submaximal kinetic analysis using a linear regression model.Results: Mean values for the predicted and actual maximum weight the subjects lifted were not significantly different (50.3+/-15.6 kg and 48.5+/-17.0 kg, respectively, P>= 0.05). The correlation between predicted and criterion values was high (r= 0.96), and the total error of the prediction was 5.1 kg, Which represented 10.5% of the actual maximum value.Conclusions: This multi-faceted functional assessment model involving biomechanical analysis of a submaximal lift and maximal isometric lumbar extension strength accurately predicted a subject's maximum functional lifting capacity.