Sremakaew Munlika, Konghakote Supatcha, Uthaikhup Sureeporn
Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand.
Physiother Theory Pract. 2024 Sep;40(9):1952-1960. doi: 10.1080/09593985.2023.2229422. Epub 2023 Jun 26.
Inter-individual variability may contribute to impaired cervicocephalic kinesthetic sensibility (CKS) in patients with nonspecific neck pain.
To identify subgroups of participants with nonspecific neck pain based on cervical joint position errors (JPEs) and to determine potential factors associated with identified subgroups.
One hundred participants with nonspecific neck pain (unidentified pathoanatomical cause) and 50 controls were recruited. JPEs were measured in cervical extension and rotation, using a laser pointer. JPEs were expressed as absolute (AEs), constant (CEs), and variable (VEs) errors. Clinical characteristics were pain intensity, duration, disability, side of pain, dizziness, psychological features, and range of motion. All tests were performed within 1 day. A cluster analysis was conducted based on AEs. A logistic regression was used to identify factors associated with the cluster groups.
Analysis divided neck pain participants into two groups: cluster 1 with greater impaired CKS ( = 36) and cluster 2 with lesser impaired CKS ( = 64). The AEs (all cervical movements) and CE (left rotation) were larger in cluster 1 than 2 ( ≤ .002). Overall, participants in clusters 1 and 2 had larger AEs, CEs, and VEs than controls ( ≤ .04). The presence of dizziness was a risk factor associated with cluster 1 (OR2.5, = .04). The other characteristics were not associated with the cluster groups ( ≥ .09).
The AEs identified two subgroups of patients with nonspecific neck pain. Participants in subgroup 1 had greater impaired CKS, and participants in subgroup 2 had lesser impaired CKS. Dizziness was a potential risk factor associated with greater impaired CKS.
个体差异可能导致非特异性颈部疼痛患者的颈-头动觉敏感性（CKS）受损。
根据颈椎关节位置误差（JPEs）确定非特异性颈部疼痛参与者的亚组，并确定与所识别亚组相关的潜在因素。
招募了100名非特异性颈部疼痛（未明确病理解剖原因）的参与者和50名对照者。使用激光指针测量颈椎伸展和旋转时的JPEs。JPEs表示为绝对误差（AEs）、恒定误差（CEs）和可变误差（VEs）。临床特征包括疼痛强度、持续时间、残疾程度、疼痛部位、头晕、心理特征和活动范围。所有测试均在1天内完成。基于AEs进行聚类分析。使用逻辑回归来识别与聚类组相关的因素。
分析将颈部疼痛参与者分为两组：第1组CKS受损程度较重（n = 36），第2组CKS受损程度较轻（n = 64）。第1组的AEs（所有颈椎运动）和CE（左旋）均大于第2组（P≤0.002）。总体而言，第1组和第2组的参与者的AEs、CEs和VEs均大于对照组（P≤0.04）。头晕的存在是与第1组相关的危险因素（OR = 2.5，P = 0.04）。其他特征与聚类组无关（P≥0.09）。
AEs识别出了非特异性颈部疼痛患者的两个亚组。第1亚组的参与者CKS受损程度较重，第2亚组的参与者CKS受损程度较轻。头晕是与CKS受损程度较重相关的潜在危险因素。
