癫痫患者癫痫知识水平影响因素的累积比数模型分析

Application of Ordinal Logistic Regression Analysis in Epilepsy Knowledge and Its Influencing Factors in Patients with Epilepsy

目的对影响癫痫患者癫痫知识水平的各种因素进行分析和探讨。方法采用问卷调查的形式了解患者的癫痫知识水平,并对其知识水平及影响因素采用多分类有序累积比数回归模型进行单因素和多因素分析。结果 874例癫痫的患者中,4个不同癫痫知识水平的得分中位数分别为7、12、16与18。年龄、发作频率、服药形式、病程、焦虑、抑郁和文化程度是知识掌握程度的主要影响因素。结论本研究地区患者的癫痫知识知晓率较低,对重点人群中重点可干预因素得干预有待加强,同时可在癫痫患者中开展有针对性的健康教育与促进讲座,从而提高该人群相关知识的知晓率。该累积比数模型具有科学实效性。

Objective Analysis of the epilepsy knowledge and its influencing factors in patients with epilepsy. Methods Utilize the questionnaires to study the knowledge level of seizures in patients with epilepsy, using ordinal logistic regression to analysis the knowledge level and its influencing factors in patients with epilepsy for univariate and multivariate statistical analysis. Results 874 cases of epilepsy patients, the four different knowledge level of epilepsy median scores were 7,12,16 and 18. Age, seizure frequency, the form of medication, duration, anxiety disorders, depression and education level are the main factors affecting the knowledge level about epilepsy. Conclusion In this research area of seizures in patients with epilepsy awareness is low. In the future, we should focus on priority groups, focusing on intervention impact factors to enhance interventions to carry out targeted health promotion and health education to improve the awareness of the patient’s epilepsy knowledge. The modeling approach has the scientific effectiveness.