Department of Kinesiology, University of Connecticut, Storrs.
School of Exercise and Rehabilitation Sciences, University of Toledo, OH.
J Athl Train. 2022 Feb 1;57(2):165-169. doi: 10.4085/1062-6050-0261.21.
Individuals with patellofemoral pain (PFP) experience discomfort during various functional activities. Long-term pain is a common consequence of PFP, yet little is known about daily pain variability. Our study consisted of 25 individuals with PFP who completed the Anterior Knee Pain Scale (AKPS) and recorded their daily pain over 10 days. Pain was evaluated using 2 measures of intensity (baseline pain, 10-day average pain) and 2 measures of variability (mean square of successive differences, probability of acute change). Associations between AKPS and the 4 pain measures were calculated with Pearson correlations. We calculated a linear regression to examine the amount of variance in the AKPS explained by the 4 pain measures. Greater mean square of successive differences values were moderately associated with lesser AKPS scores (r = -0.648, P < .001). Mean square of successive differences and 10-day averaged pain were the strongest predictors of AKPS (R2 = 0.565, P < .001). Pain variability provided a unique perspective on the pain experience and predicted patient-oriented function in individuals with PFP.
髌股疼痛(PFP)患者在各种功能活动中会感到不适。长期疼痛是 PFP 的常见后果,但人们对日常疼痛变化知之甚少。我们的研究包括 25 名 PFP 患者,他们完成了前膝痛量表(AKPS)并在 10 天内记录了他们的日常疼痛。使用 2 种强度测量(基线疼痛、10 天平均疼痛)和 2 种变异性测量(连续差异均方、急性变化概率)评估疼痛。使用 Pearson 相关系数计算 AKPS 与 4 种疼痛测量值之间的关联。我们计算了线性回归,以检查 4 种疼痛测量值对 AKPS 变异的解释程度。较大的连续差异均方值与 AKPS 得分较低呈中度相关(r = -0.648,P <.001)。连续差异均方和 10 天平均疼痛是 AKPS 的最强预测因子(R2 = 0.565,P <.001)。疼痛变异性为 PFP 患者的疼痛体验提供了独特的视角,并预测了患者导向的功能。