Predictors of isokinetic back muscle strength in patients with low back pain
Predictors of isokinetic back muscle strength in patients with low back pain
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DOI：
10.1097/00007632-199902010-00016
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发表时间：
1999-02-01
期刊：
影响因子：
3
通讯作者：
Brox, JI
中科院分区：
文献类型：
--
作者：
Keller, A;Johansen, JG;Brox, JI
研究设计。对 105 名慢性腰痛患者进行了躯干肌肉力量测试。 目的。研究腰痛患者等速背部肌肉力量的预测。背景数据摘要。由于残疾最终损伤之间的差异，对慢性腰痛患者的临床评估通常很困难。等速躯干装置是作为客观评估背部肌肉力量的工具而开发的。然而，患者的表现取决于脊柱的放射学异常、背部肌肉的状况以及各种心理社会因素。有必要进行研究来解决这些变量如何影响背部肌肉力量。方法。患有慢性腰痛的患者接受了等速躯干肌肉力量测试（Cybex TEF，Ronkonkoma，NY）。此外，还记录了以下变量：性别、年龄、体重指数、劳力时的疼痛、疼痛的自我效能、腰椎的退行性变化、横截面积；和竖脊肌的密度。后三个变量是通过计算机断层扫描估计的。等速伸展强度过程中完成的总功的总和是多元回归分析中的因变量，人体测量、人口统计学、心理和放射学因素是自变量。结果。性别、肌肉横截面积和用力时的疼痛是等速背部肌肉力量最有力的预测因素。最终的回归模型包含这些变量，可以解释大约 40% 的背部肌肉力量变异性。结论。为了评估等速躯干肌肉力量测试的结果，应考虑横截面肌肉面积、性别和用力时的疼痛。
Study Design. Testing for trunk muscle strength was performed on 105 patients with chronic low back pain.Objectives. To investigate prediction of isokinetic back muscle strength in patients with low back pain.Summary of Background Data. The clinical evaluation of patients with chronic low back pain often is difficult because of discrepancy between disability end impairment. The isokinetic trunk device was developed as a tool for objective assessment of back muscle strength. However, the performance of patients depends on radiologic abnormalities of the spine, conditions of the back muscles, and various psychosocial factors. Studies are warranted that address how these variables influence back muscle strength.Methods. The patients with chronic low back pain were tested by an isokinetic trunk muscle strength test (Cybex TEF, Ronkonkoma, NY). In addition, the following variables were recorded: gender, age, body mass index, pain on exertion, serf-efficacy for pain, degenerative changes of the lumbar spine, cross-sectional area; and density of the erector spinae muscles. The three latter variables were estimated by computed tomography scans. The sum of total work performed during isokinetic extension strength lest was the dependent variable in a multiple regression analysis, and anthropometric, demographic, psychological, and radiologic factors were independent variables.Results. Gender, cross-sectional muscle area, and pain on exertion were the most powerful predictors of isokinetic back muscle strength. The final regression model, which included these variables, could account for approximately 40% of the variability in back muscle strength.Conclusion. For assessing the results of an isokinetic trunk muscle strength test, cross-sectional muscle area, gender, and pain on exertion should be taken into account.