Tore Nurten Gizem, Liles Sydney, Werner David M, Cleveland Rebecca J, Bye Tom Videitch, Golightly Yvonne, Jakiela Jason T, White Daniel K
Department of Physiotherapy and Rehabilitation, Osmaniye Korkut Ata University, Osmaniye, Turkey.
Department of Physical Therapy, University of Delaware, Newark, United States of America.
Osteoarthritis Cartilage. 2025 Sep;33(9):1121-1129. doi: 10.1016/j.joca.2025.06.002. Epub 2025 Jun 6.
The purpose of this study was to describe activity patterns in adults with knee osteoarthritis (OA) and to examine the relation of patterns with incident slow gait speed over 4 years.
Using data from the Osteoarthritis Initiative, we included adults with or at high risk of knee OA who walked > 1.0 m/s during a 20-meter walk at baseline, i.e., did not have slow gait speed. To determine activity patterns, we reduced the dimensions of accelerometer data (ActiGraph GTM1) using a multidimensional Multilevel Functional Principal Components Analysis to calculate between-subject principal component (PC) scores. We estimated the association of the top and bottom tertiles' PC scores with incident slow gait speed over 4 years (risk ratios with 95% confidence intervals) referenced to the middle tertile, adjusting for potential confounders.
We identified four activity patterns (PCs): 1) high activity, 2) high evening activity, 3) high morning and evening activity, and 4) very high morning activity. Those whose daily activity patterns best matched with the pattern PC2 or PC4, were found to have 0.60 [0.37, 0.96] and 0.39 [0.22, 0.71] times the risk of developing slow gait speed, respectively; while those whose daily activity patterns least matched PC3, were found to have 1.77 [1.19, 2.62] times the risk.
Daily activity patterns may be related to the development of slow gait speed in adults with or at risk for knee OA.
NCT00080171.
本研究旨在描述膝关节骨关节炎(OA)成人的活动模式,并探讨这些模式与4年内发生的步态速度减慢之间的关系。
利用骨关节炎倡议组织的数据,我们纳入了患有膝关节OA或有膝关节OA高风险的成年人,这些人在基线时20米步行速度>1.0米/秒,即没有步态速度减慢。为了确定活动模式,我们使用多维多水平功能主成分分析降低加速度计数据(ActiGraph GTM1)的维度,以计算个体间主成分(PC)得分。我们估计了最高和最低三分位数的PC得分与4年内发生的步态速度减慢之间的关联(风险比及95%置信区间),以中间三分位数为参照,并对潜在混杂因素进行了调整。
我们确定了四种活动模式(PC):1)高活动量,2)高晚间活动量,3)高早晚活动量,4)非常高的早晨活动量。发现那些日常活动模式与模式PC2或PC4最匹配的人,发生步态速度减慢的风险分别为0.60[0.37,0.96]倍和0.39[0.22,0.71]倍;而那些日常活动模式与PC3最不匹配的人,发生步态速度减慢的风险为1.77[1.19,2.62]倍。
日常活动模式可能与患有膝关节OA或有膝关节OA风险的成年人步态速度减慢的发生有关。
NCT00080171。