目的：分析帕金森病患者日常活动能力进展的影响因素并建立预测模型。方法采用单因素分析联合多因素分析的方法确定影响帕金森病患者活动能力进展的因素，通过样本回代和刀切法对模型的预测效果进行评价。结果年龄、教育程度、抑郁、焦虑、睡眠障碍及入院时ADL得分为帕金森病患者日常生活活动能力进展的影响因素，经多因素Logistic回归分析，拟合的回归方程为Logit（Y）＝-1·161＋0·637高龄-0·869教育程度高＋0·794抑郁＋0·694焦虑＋0·636睡眠障碍＋0·982。结论 PD患者的ADL进展状况受到多种因素影响，通过建立的Logistic回归模型可以对其ADL进展情况进行预测。%Objective To investigate the prediction model and influencing factors of daily living ability of patients with Parkinson .Methods The factors influencing the daily living ability (ADL) of patients with Parkinson were confirmed by single factor analysis and multiple factor analysis methods ,and the prediction model effect was evaluated by the sample back and cut-ting method for the model .Results The age ,education level ,depression ,anxiety ,sleep disorders and ADL score on admis-sion were main factors affecting the daily living ability of patients with Parkinson .The multi factor Logistic regression analysis found that the fitting regression equation was Logit (Y) = -1·161+0·637 aged-0·869 high education level +0·794 depres-sion +0·694 anxiety +0·636 sleep disorder +0·982· Conclusion The ADL progress of PD patients is affected by many fac-tors ,and the Logistic regression model can predict the progress of ADL.
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