Association of Low Physical Activity Levels With Gait Patterns Considered at Risk for Clinical Knee Osteoarthritis Progression.
Association of Low Physical Activity Levels With Gait Patterns Considered at Risk for Clinical Knee Osteoarthritis Progression.
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DOI：
10.1002/acr2.11319
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发表时间：
2021-11
影响因子：
3.4
通讯作者：
Hubley-Kozey CL
中科院分区：
文献类型：
--
作者：
Costello KE;Astephen Wilson JL;Hubley-Kozey CL
虽然步态分析提供了一个典型的步骤中的关节载荷大小和模式的估计，加速度计提供有关加载频率的信息。了解负荷的这些组成部分与膝关节骨关节炎（OA）进展之间的关系可能会改善保守治疗，因为步态干预可能需要考虑身体活动水平，反之亦然。主要目的是检查先前与OA进展相关的步态模式与加速度计得出的负荷频率指标之间的关系。次要目的检查了平均随访3.5年时加速计导出的指标与全膝关节置换术（TKA）的相关性。57名膝关节OA患者接受了步态分析和1周加速度计佩戴。计算加速度计衍生指标和步态模式之间的斯皮尔曼相关性。采用Jonckheere-Terpstra检验检查步数四分位数之间的差异。在子样本中，使用Mann-Whitney U-检验检查TKA组和非TKA组之间的基线差异。先前与进展相关的步态变量与步数和中度至剧烈强度的体力活动相关，但与较低强度的体力活动无关。最低四分位数（约4000步/天）的个体表现出先前与进展相关的步态模式。随访时，接受和未接受TKA的患者之间的任何基线加速度计得出的指标均无差异。步态、体力活动和OA进展之间存在复杂的关系。加速度计衍生的指标可能会为高于特定活动阈值的个体提供关于总体负荷的独特信息，但对于活动水平较低的个体，步态可能足以预测临床进展风险，至少在短期内如此。
Although gait analysis provides an estimate of joint loading magnitude and patterns during a typical step, accelerometry provides information about loading frequency. Understanding the relationships between these components of loading and knee osteoarthritis (OA) progression may improve conservative management, as gait interventions may need to account for physical activity levels or vice versa. The primary objective was to examine relationships between gait patterns that have previously been associated with OA progression and accelerometer‐derived metrics of loading frequency. The secondary objective examined the association of accelerometer‐derived metrics and total knee arthroplasty (TKA) at a mean follow‐up of 3.5 years. Fifty‐seven individuals with knee OA underwent gait analysis and 1 week of accelerometer wear. Spearman correlations were calculated between accelerometer‐derived metrics and gait patterns. Differences across quartiles of step count were examined with Jonckheere‐Terpstra tests. In a subsample, baseline differences between TKA and no TKA groups were examined with Mann‐Whitney U‐tests. Gait variables previously related to progression were correlated to both step count and moderate‐ to vigorous‐intensity, but not lower‐intensity, physical activity. Individuals in the lowest quartile (~4000 steps/day) exhibited gait patterns previously related to progression. There were no differences in any baseline accelerometer‐derived metrics between those that did and did not undergo TKA at follow‐up. Complex relationships exist between gait, physical activity, and OA progression. Accelerometer‐derived metrics may contribute unique information about overall loading for individuals above a certain activity threshold, but for those with lower activity levels, gait may be sufficient to predict clinical progression risk, at least over the short term.
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影响因子：
7
作者：
Chehab, E. F.;Favre, J.;Erhart-Hledik, J. C.;Andriacchi, T. P.
通讯作者：
Andriacchi, T. P.
影响因子：
7
作者：
Bannuru, R. R.;Osani, M. C.;McAlindon, T. E.
通讯作者：
McAlindon, T. E.
DOI：
10.1097/00005768-199805000-00021
发表时间：
1998-05-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Freedson, PS;Melanson, E;Sirard, J
通讯作者：
Sirard, J
影响因子：
27.4
作者：
Chang, Alison;Hurwitz, Debra;Sharma, Leena
通讯作者：
Sharma, Leena
影响因子：
2.2
作者：
CHALLIS, JH
通讯作者：
CHALLIS, JH