TY - Jour A2 - Martella，Giuseppina Au - Schmitt，Abigail C. Au - Baudendistel，Sidney T. Au - Fallon，Michaela S. Au - Roper，Jaimie A. Au - Hass，Chris J. PY - 2020DA - 2020 /02/07 TI - Assessing the Relationship between the Enhanced Gait Variability Index and Falls in Individuals with Parkinson’s Disease SP - 5813049 VL - 2020 AB - Gait impairment and increased gait variability are common among individuals with Parkinson’s disease (PD) and have been associated with increased risk for falls. The development of composite scores has gained interest to aggregate multiple aspects of gait into a single metric. The Enhanced Gait Variability Index (EGVI) was developed to compare an individual’s gait variability to the amount of variability in a healthy population, yet the EGVI’s individual parts may also provide important information that may be lost in this conversion. We sought to contrast individual gait measures as predictors of fall frequency and the EGVI as a single predictor of fall frequency in individuals with PD. 273 patients (189M, 84F; 68 ± 10 yrs) with idiopathic PD walked over an instrumented walkway and reported fall frequency over three months (never, rarely, monthly, weekly, or daily). The predictive ability of gait velocity, step length, step time, stance time, and single support time and the EGVI was assessed using regression techniques to predict fall frequency. The EGVI explained 15.1% of the variance in fall frequency (据inline-formula> P.据/mml:mi> 据据/mml:mo> 0.001据/mml:mn> 那据italic> R.据/italic> = 0.389). Although the regression using the combined spatiotemporal measures to predict fall frequency was significant (据inline-formula> P.据/mml:mi> =据/mml:mo> 0.002据/mml:mn> 那据italic> R.据/italic> = 0.264), none of the components reached significance (gait velocity:据inline-formula> P.据/mml:mi> =据/mml:mo> 0.640据/mml:mn> ，步长：据inline-formula> P.据/mml:mi> =据/mml:mo> 0.900据/mml:mn> ，步骤时间：据inline-formula> P.据/mml:mi> =据/mml:mo> 0.525据/mml:mn> ，姿态时间：据inline-formula> P.据/mml:mi> =据/mml:mo> 0.532据/mml:mn> ，单一支持时间：据inline-formula> P.据/mml:mi> =据/mml:mo> 0.480据/mml:mn> ）。EGVI是PD的秋季频率的更好预测因子，而不是其单独的时空部件。基于EGVI的解释，患者更频繁地具有更大的变量步态。虽然EGVI提供了一种客观测量步态可变性，但有一些预测次数的能力，全面的临床解释和应用目前未知。SN - 2090-8083 UR - https：//doi.org/10.1155/2020/5813049 do - 10.1155 / 2020/5813049 jf - 帕金森病pb - hindawi kw - er -据/body>