首页> 美国卫生研究院文献>Rehabilitation Research and Practice >Effect on Gait Speed Balance Motor Symptom Rating and Quality of Life in Those with Stage I Parkinsons Disease Utilizing LSVT BIG®
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Effect on Gait Speed Balance Motor Symptom Rating and Quality of Life in Those with Stage I Parkinsons Disease Utilizing LSVT BIG®

机译:LSVTBIG®对帕金森病I期患者步态速度平衡运动症状评定和生活质量的影响

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摘要

Individuals with Parkinson's Disease (PD) are often not referred to Physical Therapy (PT) until there are issues with mobility in later Hoehn and Yahr Stages. There have been no studies outlining the benefits of PT intervention in Stage I only. For persons with PD, deficits in motor function increase over time due to destruction of dopamine-producing cells. LSVT BIG, an exercise program for PD, has been shown to be effective in improving mobility. The purpose of this study was to assess participants functional improvement at a level of minimal clinically important difference (MCID) in one of four outcome measures: Gait Speed, Berg Balance Assessment, Functional Gait Assessment, and Unified Parkinson's Disease Rating Scale Motor Section. Case Description. Nine participants with Stage I PD received LSVT BIG 4x/week for 4 weeks followed by bimonthly participation in a community class. Outcome measurement occurred at baseline, after LSVT BIG, and three months after LSVT BIG. Outcomes. Eight of nine participants (88.9%) achieved MCID in at least one of the four measures at both after and 3 months after LSVT BIG training indicating improvement based on our criteria. Participants in Stage I of PD in this study completed LSVT BIG and demonstrated improved function.
机译:帕金森氏病(PD)的患者通常在后来的Hoehn和Yahr阶段出现活动性问题之前,通常不会接受物理治疗(PT)。尚无研究概述仅在第一阶段进行PT干预的益处。对于PD患者,由于多巴胺产生细胞的破坏,运动功能的缺陷随时间增加。 LSVT BIG是一项针对PD的锻炼计划,已被证明可有效改善行动能力。这项研究的目的是在以下四个结局指标之一中以最小的临床重要差异(MCID)水平评估参与者的功能改善:步态速度,伯格平衡评估,功能性步态评估和帕金森氏病病情分级量表运动部分。案例说明。九名患有I期PD的参与者每周接受4次LSVT BIG,共4周,然后每两个月参加一次社区课程。结果测量发生在基线,LSVT BIG后和LSVT BIG后三个月。结果。在LSVT BIG训练之后和3个​​月后的三个月中,九名参与者中的八名(88.9%)在四项指标中的至少一项达到了MCID,表明根据我们的标准有所改善。本研究中PD的第一阶段的参与者完成了LSVT BIG,并显示出改善的功能。

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