Abstract
Depressive disorders are the most frequent psychiatric comorbidity in epilepsy. Depressive mood affects negatively quality of life (QOL) ratings, sometimes having greater impact than seizure-related variables. Women with epilepsy are a specific subgroup at risk of comorbid depression in consequence of certain biopsychosocial demands. The AIM of this study was to assess the relative contribution of mood, seizure-related and demographic variables on QOL scores in women with epilepsy of childbearing age. A psychiatric assessment was carried out of 65 women with epilepsy (aged 18-55, mean 37.23 +/- 11.83 yrs). Comorbid depressive disorder was diagnosed according to ICD-10 criteria. Its severity was evaluated on the Hamilton Depression Rating Scale (HAMD-17). A questionnaire for demographic and seizure-related variables was completed. Two self-assessment questionnaires were administered: the Seizure Severity Questionnaire (SSQ) and the Quality of Life in Epilepsy Inventory-31 (QOLIE-31). The data were analysed using SPSS for Windows (version 17.0). Univariate correlation and multiple stepwise regression analyses were performed to explore the association between possible prognostic variables (independent variables) and QOLIE-31 overall and subscale scores (dependent variables). Analysis showed that demographic factors: employment and education; seizure-related factors: seizure severity, seizure frequency, antiepileptic drug therapy and comorbid depressive disorder were the variables significantly associated with QOLIE-31 overall score (p < 0.01). A three variable model accounted for 64.8% of the variance in QOLIE-31 overall score including seizure severity, comorbid depression and seizure frequency. Clinical factors are the strongest predictors of QOL of women with epilepsy in our study, seizure severity and comorbid depression being the main contributors. Paying attention to the psychological needs of women with epilepsy will have a positive effect on their QOL.
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