Prediction of back strength using anthropometric and strength measurements in healthy females
Prediction of back strength using anthropometric and strength measurements in healthy females
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DOI：
10.1016/j.clinbiomech.2005.03.003
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发表时间：
2005-08-01
影响因子：
1.8
通讯作者：
Dumas, GA
中科院分区：
文献类型：
--
作者：
Wang, M;Leger, AB;Dumas, GA
目标.本研究的目的是开发一个回归方程来预测背伸肌最大自主收缩（背强度）的女性的基础上，使用多元回归技术的几个人体测量和强度测量。背景背部力量是腰痛研究中的一个重要参数。然而，在某些人群中，如腰痛患者和孕妇，背部力量的测量是有问题的。背部强度测量为L4/L5处的力矩和力。选择十个人体测量或力量测量来开发预测方程。用于开发模型的数据来自80名非妊娠女性受试者，年龄18-42岁，过去一年没有背痛史。进行后向逐步分析以选择最佳拟合预测因子。每个模型的预测能力进行了检查，使用交叉验证技术对20个其他科目。分别建立了力矩和力的预测模型。两个模型分别解释了背力量的46.9%和48.2%的方差。验证研究表明，所测得的背部力量与预测的背部力量高度相关。体重、身高、躯干长度、握力和股四头肌力量是本研究中背部力量的最佳预测因子。本研究开发的模型可用于一般女性腰痛患者和妊娠人群。(C)2005爱思唯尔有限公司保留所有权利。
Objectives. The purpose of this study was to develop a regression equation to predict back extensor maximal voluntary contraction (back strength) for females based on several anthropometric and strength measurements using a multiple regression technique. Background. Back strength is an important parameter in low back pain studies. However, the measurement of back strength is problematic in certain populations such as low back pain patients and pregnant women.Methods. Back strength was measured as both moment at L4/L5 and force. Ten anthropometric or strength measurements were chosen to develop the prediction equation. The data used for developing the models were from eighty non-pregnant female subjects, age 18-42 and with no history of back pain in the past year. Backwards stepwise analysis was performed in order to choose the best fit predictors. The predictive ability of each of the models was checked using the cross-validation technique on 20 other subjects.Findings. Two prediction models were developed for moment and force, respectively. The models explained 46.9% and 48.2% of the variance in back strength. No multicollinearity problem was found. The validation study showed that the observed back strength was highly correlated with the predicted back strength.Interpretation. Mass, height, trunk length, grip strength and quadriceps strength are the best predictors of back strength in this study. The models developed in this study can be used for both general female low back pain patients and the pregnancy population. (C) 2005 Elsevier Ltd. All rights reserved.