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首页> 外文学位 >Leg power curves in individuals with Parkinson's disease: A pilot study.
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Leg power curves in individuals with Parkinson's disease: A pilot study.

机译：帕金森氏病患者的腿部力量曲线：一项初步研究。

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摘要

There has been limited research regarding the impact of Parkinson's disease on aerobic capacity and activity, strength assessment, and strength training interventions. No research could be found regarding power curve trends and Parkinson's disease. This pilot study assessed leg power curves in individuals with Parkinson's disease. Power testing was performed on 8 individuals (4 females, 4 males) diagnosed with mild to moderate Parkinson's for at least one year. Leg power testing was performed on a Keiser pneumatic leg extension machine interfaced with a computer software program that calculated work and power during the concentric phase of each repetition by sampling the system pressure and position 400 times a second. To eliminate "noisy data" generated at the beginning and end of the range of motion, only data collected between 5% and 95% of the concentric phase was used to calculate power. Peak power was assessed on two separate occasions separated by at least 48 hours. Results of power testing were fitted to a mixed-linear models and non-linear, or quadratic, models with gender included as a categorical variable. The Akaike Information Criterion (AIC), or goodness of fit measure, indicated the mixed-linear model was the better model for this data. Seven of the eight subjects experienced peak power at 80% of their 1 repetition maximum. These pilot results suggest that this linear relationship may be unique to older adults with Parkinson's in that it does not follow the typical power curve, or bell curve, that has been observed in populations of similar age without Parkinson's disease.
机译：关于帕金森氏病对有氧运动能力和活动能力，力量评估和力量训练干预的研究很少。没有关于功率曲线趋势和帕金森氏病的研究。这项初步研究评估了帕金森氏病患者的腿部力量曲线。对诊断为轻度至中度帕金森氏症的8个人（4名女性，4名男性）进行了至少一年的功率测试。腿部力量测试是在Keizer气动腿部伸展机上进行的，该机器与计算机软件程序连接，该程序通过对系统压力和位置进行每秒400次采样来计算每次重复的同心阶段的功和功率。为了消除在运动范围的开始和结束时产生的“噪音数据”，仅使用收集在同心相位的5％和95％之间的数据来计算功率。在两次相隔至少48小时的情况下评估了峰值功率。功率测试的结果适合混合线性模型和包含性别作为类别变量的非线性或二次模型。 Akaike信息准则（AIC）或拟合优度表明，混合线性模型对于该数据而言是更好的模型。八名受试者中有七名的峰值功率达到其1次重复最大值的80％。这些初步结果表明，这种线性关系对于帕金森氏症的老年人可能是独特的，因为它没有遵循在没有帕金森氏病的相似年龄人群中观察到的典型功效曲线或钟形曲线。

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  • 作者

    Peterson, Brittney.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Health Sciences Aging.;Health Sciences Public Health.
  • 学位 M.S.
  • 年度 2009
  • 页码 74 p.
  • 总页数 74
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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