Elabd Omar M, Oakley Paul A, Elabd Aliaa M
Department of Orthopedics and Its Surgeries, Faculty of Physical Therapy, Delta University for Science and Technology, Gamasa 35712, Egypt.
Department of Physical Therapy, Aqaba University of Technology, Aqaba 771111, Jordan.
J Clin Med. 2024 Jul 8;13(13):3980. doi: 10.3390/jcm13133980.
Researchers are focusing on understanding the etiology and predisposing factors of chronic nonspecific low back pain (CNSLBP), a costly prevalent and disabling disorder. Related clinical, functional, and biomechanical variables are often studied, but in isolation. We aimed to identify key factors for managing CNSLBP by examining the relationship between back disability and related clinical, functional, and biomechanical variables and developed prediction models to estimate disability using various variables. We performed a cross-sectional correlational study on 100 recruited patients with CNSLBP. Clinical variables of pain intensity (visual analog score), back extensor endurance (Sorenson test), functional variables of the back performance scale, 6 min walk test, and the biomechanical variable C7-S1 sagittal vertical axis were analyzed to predict disability (Oswestry disability index). All variables independently, as well as in multi-correlation, were significantly correlated to disability ( < 0.05). The bivariate regression models were significant between back disability and pain intensity (Y = 11.24 + 2.189x), Sorensen results (Y = 105.48 - 0.911x), the back performance scale (Y = 6.65 + 2.486x), 6 min walk test (Y = 49.20 - 0.060x), and sagittal vertical axis (Y = 0.72 + 4.23x). The multi-regression model showed significant contributions from pain ( = 0.001) and Sorensen results ( = 0.028) in predicting back disability, whereas no significant effect was found for other variables. A multidisciplinary approach is essential not only for the management of but also for the assessment of chronic nonspecific low back pain, including its clinical, functional, and biomechanical characteristics. However, special emphasis should be placed on clinical characteristics, including the intensity of pain and back extensor endurance.
研究人员正致力于了解慢性非特异性下腰痛（CNSLBP）的病因及诱发因素，这是一种代价高昂、普遍存在且导致残疾的疾病。相关的临床、功能和生物力学变量经常被研究，但都是孤立进行的。我们旨在通过研究背部功能障碍与相关临床、功能和生物力学变量之间的关系，确定管理CNSLBP的关键因素，并开发预测模型，利用各种变量来估计功能障碍。我们对100名招募的CNSLBP患者进行了横断面相关性研究。分析疼痛强度（视觉模拟评分）、背部伸肌耐力（索伦森试验）等临床变量、背部功能量表、6分钟步行试验等功能变量以及生物力学变量C7-S1矢状垂直轴，以预测功能障碍（奥斯威斯利功能障碍指数）。所有变量单独以及在多重相关性分析中均与功能障碍显著相关（<0.05）。二元回归模型显示，背部功能障碍与疼痛强度（Y = 11.24 + 2.189x）、索伦森试验结果（Y = 105.48 - 0.911x）、背部功能量表（Y = 6.65 + 2.486x）、6分钟步行试验（Y = 49.20 - 0.060x）和矢状垂直轴（Y = 0.72 + 4.23x）之间具有显著相关性。多元回归模型显示，疼痛（= 0.001）和索伦森试验结果（= 0.028）在预测背部功能障碍方面具有显著贡献，而其他变量未发现显著影响。多学科方法不仅对于慢性非特异性下腰痛的管理至关重要，对于其评估也至关重要，包括其临床、功能和生物力学特征。然而，应特别强调临床特征，包括疼痛强度和背部伸肌耐力。
