Adams Em V, Van Puymbroeck Marieke, Walter Alysha, Hawkins Brent L, Schmid Arlene A, Sharp Julia L
Health Sciences Department, Lehman College, Bronx, N.Y.
Department of Parks, Recreation, and Tourism Management, Clemson University, Clemson, S.C.
Int J Yoga Therap. 2020 Jan 1;30(1):9-18. doi: 10.17761/2020-D-18-00005.
Parkinson's disease (PD) affects nearly 10 million people worldwide, leading to decreased mobility and balance and potential loss of independence. Yoga has been associated with improved function for people with PD, but the predictive factors for improved functional outcomes as a result of yoga participation remain unexamined. The objective of this secondary data analysis was to identify predictive factors of functional improvement for people with PD after an 8-week yoga intervention. Stepwise multiple linear regression was used to identify significant predictors of improvement in balance, fall control, PD symptoms, and activity constraints. Lower cognitive functioning was predictive of improvement in perceived control over falls, body responsiveness was predictive of improvement in PD-specific symptoms, and gait velocity was predictive of improvement in balance and activity constraints. Future research is warranted to evaluate the use of screeners to predict who is the best fit for yoga therapy. Additional research is needed to evaluate the need to include cognitive self-management training concurrent with yoga therapy.
帕金森病（PD）在全球影响着近1000万人，导致行动能力和平衡能力下降，并可能丧失独立性。瑜伽已被证明对帕金森病患者的功能改善有帮助，但参与瑜伽后功能改善的预测因素仍未得到研究。本次二次数据分析的目的是确定8周瑜伽干预后帕金森病患者功能改善的预测因素。采用逐步多元线性回归来确定平衡、跌倒控制、帕金森病症状和活动受限改善的显著预测因素。较低的认知功能可预测跌倒感知控制的改善，身体反应性可预测帕金森病特异性症状的改善，步态速度可预测平衡和活动受限的改善。未来有必要进行研究，以评估使用筛查工具来预测谁最适合接受瑜伽治疗。还需要进一步研究，以评估在瑜伽治疗的同时是否需要纳入认知自我管理训练。
