Determinants of quality of life in people with epilepsy and their gender differences.

Improving the patient's quality of life (QOL) is the most important goal of epilepsy management. We performed this study to determine the factors associated with QOL in people with epilepsy and to assess whether there are gender differences in these determinants. Patients were interviewed using the Quality of Life in Epilepsy Inventory-31(QOLIE-31), the Adverse Event Profile (AEP), the Self-Rating Anxiety Scale (SAS), and the Hamilton Depression Rating Scale (HAMD). Two hundred forty-seven patients (152 men, 95 women) were included in the analysis. Among all patients, regressive analyses showed that AEP score was the strongest predictor of the QOLIE-31 overall score, accounting for 10.4% of the variance. The next strongest predictors were the number of currently used antiepileptic drugs (AEDs) (3.6%), the HAMD score (2.5%), and the SAS score (1.2%). Importantly, there were gender differences in these predictors of QOL. The strongest predictors of the QOLIE-31 overall score in women were the AEP score and the number of AEDs. In contrast, the strongest predictors in men were the SAS score, the AEP score and the frequency of seizures. These results indicate that perceived adverse effects of treatments and number of AEDs exerted greater effects on QOL in women, whereas anxiety and seizure-related variables had a stronger impact on QOL among men. Accordingly, it may be necessary to individualize interventions to improve the QOL of people with epilepsy.

[Factors associated with quality of life in epileptics and the variations between men and women, younger and older people].

OBJECTIVE: To determine factors associated with quality of life (QOL) in epileptics and the variations between men and women, younger and older people. METHODS: A total of 204 patients (160 younger, 49 older; 125 men, 79 women) were interviewed by the quality of life in epilepsy-31 (QOLIE-31), side effect profile (SEP), self-rating anxiety scale (SAS) and Hamilton depression scale (HAMD). Medical and socio-demographic data were acquired from patient records. Multivariate linear regressive analyses were used to determine the set of best predictors of composite QOLIE-31 score. RESULTS: No statistical difference was revealed in QOLIE-31 overall score either between younger and older patients or between men and women. Among all patients, regressive analyses revealed that SEP (beta = - 0.395, P = 0.000) and SAS (beta = -0.152, P = 0.016) were two strong predictors of QOLIE-31 overall score. Grouped by gender, among men, epilepsy duration (beta = -0.165, P = 0.028) and seizure frequency (beta = -0.284, P = 0.001) respectively associated with QOLIE-31 overall score and "social function" score while the number of AEDs (antiepileptic drugs) substantially correlated with QOLIE-31 overall score among women (beta= -0.238, P = 0.006). Grouped by ages, seizure frequency (beta = -0.284, P = 0.000) and education level (beta = 0.203, P = 0.005) predicted QOLIE-31 "social function" score only among younger patients; among older patients, a significant association were found between the number of AEDs and QOLIE-31 overall score (beta = - 0.363, P = 0.004). CONCLUSION: Side effects of AEDs and number of AEDs exert greater effect on QOL in women and older patients. And such seizure-related variables as epileptic duration and seizure frequency influence QOL only among men and younger patients.