Introduction: We aimed to validate the Turkish version of the Stigma Scale of Epilepsy (SSE) (from Brazil) and present the results.
Method: The SSE was completed by 33 patients with epilepsy (PWE), 25 of the patients' family members, and 23 people from the community. Subjects were interviewed on an individual basis; a physician read the questions and the subjects wrote the answers on a sheet. The form was the same for all subjects. In addition, the Beck Depression Inventory (BDI) and the Hamilton Anxiety Inventory (HAI), Short Form-36 (SF-36) were completed by the subjects.
Results: We interviewed 81 subjects. The internal consistency of the SSE showed Cronbach's α coefficients of 0.785 for the PWE, 0.733 for the family members and 0.798 for the people in community. The mean scores on the SSE were 57 for patients, 66 for family members and 65 for the community where a score of 0 would suggest no stigma and 100 would indicate maximum stigma. The SSE scores of patients, family members and the community who believed that patients with epilepsy are stigmatized or rejected were higher than the SSE scores of who did not believe it. Although there were strong correlation between high SSE scores and poor functionality and BDI; there were not any correlation between with SSE and HAI, age of epilepsy onset, time of epilepsy, education, and social class.
Conclusion: The SSE has satisfactory content validity and high internal consistency. It allows for the quantification of the real perception of the epilepsy associated stigma. Prejudice and discrimination are often worse than the seizures themselves in terms of the impact on the daily lives of people with epilepsy and their families. Understanding this aspect of epilepsy is important for reducing the burden of epilepsy, and the SSE can be used for cross cultural, media, and social campaigns aimed at minimizing the negative influences of stigma.
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http://dx.doi.org/10.5152/npa.2016.12673 | DOI Listing |
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Research Associate Professor of Biostatistics, Department of Biostatics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
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Geisel School of Medicine at Dartmouth College, Hanover, NH, USA.
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School of Chemistry and Chemical Engineering, University of South China, Hengyang 421001, China.
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Department of Veterinary Pathobiology, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
The molecular mechanisms by which vaccinia virus (VACV), the prototypical member of the poxviridae family, reprograms host cell metabolism remain largely unexplored. Additionally, cells sense and respond to fluctuating nutrient availability, thereby modulating metabolic pathways to ensure cellular homeostasis. Understanding how VACV modulates metabolic pathways in response to nutrient signals is crucial for understanding viral replication mechanisms, with the potential for developing antiviral therapies.
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