Objective: Many people with epilepsy report subjective cognitive impairment (SCI), i.e., problems with memory, attention, or executive functions, reducing quality of life. Nevertheless, overlap with objective cognitive impairment (OCI) is often weak. One reason may be a domain-specific mismatch between subjective reports and objective tests. We aimed to evaluate relations between SCI and OCI of corresponding domains and to assess whether these differ between persons who over-or underestimate their performance. Methods:In this prospective, cross-sectional sample of 104 adult inpatients with epilepsy, we performed multiple regression analyses predicting SCI in the domains attention, memory, and executive functions. We tested relationships with measures of psychomotor speed, short-term memory, verbal learning, verbal delayed recall, and word fluency while controlling for age, sex, seizure frequency, structural lesions, mono-versus polytherapy and adverse events of antiseizure medication (ASM), depressive and anxiety symptoms, level of education, and employment status. Furthermore, we tested whether these relationships differed between realistic raters and over-and underestimators. Results:We found domain-specific relations for attention and executive functions for the full sample, explaining a small proportion of variance of SCI (general dominance index = .03 and .004), whereas ASM adverse events and psychological variables were more important predictors. When dividing the sample according to the concordance of SCI and OCI, we found high frequencies of both over-(23%-46%) and underestimation (31%-35%) depending on the domain. The explanatory power of OCI for SCI was stronger within the subgroups compared to the full sample, suggesting nonlinear relationships and different underlying mechanisms for realistic raters, underestimators, and overestimators.Significance: Domain-specific SCI and OCI are related, and both should be assessed with standardized instruments. These relationships differ between overand underestimators as well as realistic raters. Based on the concordance of
Objective: Many people with epilepsy (PWE) suffer from reduced everyday functioning such as unemployment, relationship difficulties, or lifestyle limitations. To identify whether subjective cognitive impairment (SCI) is a potential
PurposeEpilepsy is one of the most common neurological disorders with high costs for the healthcare systems and great suffering for patients. Beyond seizures, psychosocial comorbidities can have detrimental effects on the well-being of people with epilepsy. One source of social stress and reduced quality of life is epilepsy-related stigma that often occurs, e.g., due to public misconceptions or myths. Stigma has individual biological, psychological and social correlates. Moreover, environmental factors like living in remote areas are associated with stigma. However, little is known about the link between the social structure of the residence and stigma in epilepsy. Thus, we investigated the association between the structural socioeconomic status (SES) and perceived stigma in an urban epilepsy population.MethodsThis prospective, cross-sectional study examined 226 adult in-patients with epilepsy from Berlin. Multiple regression analyses were performed to check the relationship between structural SES and stigma controlling for individual-level demographic, clinical, psychological and social factors. Continuous social indices (SI) of the districts and neighborhoods (“SI district” and “SI neighborhood”) of Berlin were used to measure different levels of structural SES. Non-linear relationships are tested by grouping the SI in quartiles.ResultsBoth indicators of structural SES were independently linked to stigma (p = 0.002). For “SI district”, we identified a non-linear relationship with patients from the most deprived quartile feeling less stigmatized compared to those in the second (p < 0.001) or least deprived quartile (p = 0.009). Furthermore, more restrictions of daily life (p < 0.001), unfavorable income (p = 0.009) and seizure freedom in the past 6 months (p = 0.05) were related to increased stigma. A lower “SI neighborhood” was associated with higher stigma (p = 0.002).ConclusionStrategies to reduce epilepsy-related stigma need to consider the sociostructural living environment on different regional levels. Unfavorable relations with the immediate living environment may be directly targeted in patient-centered interventions. Non-linear associations with the structural SES of broader regional levels should be considered in public education programs. Further research is needed to examine possible underlying mechanisms and gain insight into the generalizability of our findings to other populations.
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