Laboratory of Analysis and Intervention of the Shoulder Complex, Department of Physical Therapy, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Divisions of Physical Therapy and Rehabilitation Science, Department of Rehabilitation Medicine, Medical School, The University of Minnesota, Minneapolis, MN, USA.
Braz J Phys Ther. 2022 Jul-Aug;26(4):100423. doi: 10.1016/j.bjpt.2022.100423. Epub 2022 Jun 2.
Physical therapists use several evaluation measures to identify the most important factors related to disability. However, the degree to which these evaluation components explain shoulder disability is not well known and that may detract clinicians from the best clinical reasoning.
To determine how much evaluation components explain shoulder function.
Eighty-one individuals with unilateral shoulder pain for at least four weeks and meeting clinical exam criteria to exclude cervical referred pain, adhesive capsulitis, and shoulder instability, participated in this study. Several typical clinical evaluation components were assessed as potential independent variables in a regression model using the Disabilities of the Arm, Shoulder, and Hand (DASH) score as a proxy to shoulder function. Two multivariate models were built to include (1) evaluation components from physical exam plus clinical history and (2) a model considering all previous variables and magnetic resonance imaging (MRI) data.
Pain catastrophizing was the best variable in the model explaining at least 10% of the DASH variance. Sex and lower trapezius muscle strength explained considerably less of shoulder function. The MRI data did not improve the model performance.
The complexity of shoulder function is not independently explained by pathoanatomical abnormalities. Psychological aspects may explain more of shoulder function even when combined with physical components in some patients.
物理治疗师使用多种评估方法来确定与残疾最相关的重要因素。然而,这些评估成分在多大程度上解释了肩部功能还不是很清楚,这可能会使临床医生无法进行最佳的临床推理。
确定评估成分在多大程度上解释了肩部功能。
本研究纳入了 81 名单侧肩部疼痛至少四周且经临床检查排除颈椎牵涉痛、粘连性囊炎和肩部不稳定的患者。使用残疾上肢、肩和手(DASH)评分作为肩部功能的替代指标,将几种典型的临床评估成分作为回归模型中的潜在自变量进行评估。建立了两个多元模型,包括(1)体格检查和临床病史中的评估成分,以及(2)考虑所有先前变量和磁共振成像(MRI)数据的模型。
疼痛灾难化是解释 DASH 方差至少 10%的最佳变量。性别和斜方肌下部力量对肩部功能的解释作用较小。MRI 数据并未提高模型性能。
肩部功能的复杂性不能通过病理解剖异常来独立解释。即使在某些患者中与身体成分结合使用,心理方面也可能解释更多的肩部功能。