首页> 外文期刊>Seizure: the journal of the British Epilepsy Association >Clinical and demographic characteristics predicting QOL in patients with epilepsy in the Czech Republic: how this can influence practice.
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Clinical and demographic characteristics predicting QOL in patients with epilepsy in the Czech Republic: how this can influence practice.

机译:在捷克共和国,临床和人口统计学特征可预测癫痫患者的QOL:这如何影响实践。

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OBJECTIVE: The aim of our study was to assess the influence of different clinical and demographic variables on quality of life (QOL) in patients with epilepsy in the Czech Republic. METHODS: Outpatients with epilepsy (n=268) who visited two neurology departments between 2005 and 2006 were included. Clinical and demographic characteristics were retrieved from medical records. Quality of life was measured by the Quality of Life in Epilepsy Inventory (QOLIE-31). Using multiple regression analysis, we determined which variables were associated with QOLIE-31 overall and subscale scores. RESULTS: Seizure frequency, employability and psychiatric comorbidity were found to be risk factors for QOLIE-31 overall score, accounting for 33% of the variance in the regression model. Seizure frequency was strong predictor for all seven subscales. Employability explained 10% of the variance in the QOLIE overall score and was the strongest predictor for Overall QOL, Emotional Well-being, Energy/Fatigue and Cognitive Function. Gender, type of seizures, age at onset of seizures, and systemic comorbidity had no significant association in this study. CONCLUSIONS: The present study confirms that besides seizure frequency, employability and comorbid psychiatric conditions are strong predictors of QOL in patients with epilepsy. Interventions focusing on psychosocial problems and identification of factors that hamper employment in patients with epilepsy are necessary for improving QOL in these patients.
机译:目的:我们的研究目的是评估捷克共和国癫痫患者的不同临床和人口统计学变量对生活质量(QOL)的影响。方法:纳入2005年至2006年期间访问两个神经科的癫痫门诊患者(n = 268)。从医疗记录中检索出临床和人口统计学特征。生活质量通过癫痫量表中的生活质量(QOLIE-31)进行衡量。使用多元回归分析,我们确定了哪些变量与QOLIE-31总体和次级量表得分相关。结果:癫痫发作频率,就业能力和精神病合并症是QOLIE-31总分的危险因素,占回归模型方差的33%。癫痫发作频率是所有七个分量表的有力预测指标。就业率解释了QOLIE总分变异的10%,是整体QOL,情绪健康,能量/疲劳和认知功能的最强预测指标。性别,癫痫发作类型,癫痫发作年龄和全身合并症在本研究中无显着相关性。结论:本研究证实,除了癫痫发作频率外,就业能力和合并精神病状况也是癫痫患者生活质量的重要预测指标。着重于心理社会问题的干预措施以及查明阻碍癫痫患者就业的因素,对于改善这些患者的生活质量是必要的。

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