Abstract
Background:: Self-stigma may feature strongly and be detrimental for people with depression, but the understanding of its nature and prevalence is limited by the lack of psychometrically validated measures. This study is aimed to validate the Arabic version self-stigma of depression scale (SSDS) among adolescents. Materials and Methods:: A cross-sectional study involved 100 adolescents randomly selected. The analyses include face validation, factor analysis, and reliability testing. A testretest was conducted within a 2-week interval. Results:: The mean score for self-stigma of depression among study participants was 68.9 (Standard deviation = 8.76) median equal to 71 and range was 47. Descriptive analysis showed that the percentage of those who scored below the mean score (41.7%) is shown less than those who scored above the mean score (58.3%). Preliminary construct validation analysis confirmed that factor analysis was appropriate for the Arabic-translated version of the SSDS. Furthermore, the factor analysis showed similar factor loadings to the original English version. The total internal consistency of the translated version, which was measured by Cronbach's alphas ranged from 0.70 to 0.77 for the four subscales and 0.84 for the total scale. Testretest reliability was assessed in 65 respondents after 2 weeks. Cronbach's alphas ranged from 0.70 to 0.77 for the four subscales and 0.84 for the total scale. Conclusions:: Face validity, construct validity, and reliability analysis were found satisfactory for the Arabic-translated version of the SSDS. The Arabic-translated version of the SSDS was found valid and reliable to be used in future studies, with comparable properties to the original version and to previous studies.
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Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-Non Derivative-Non Commercial License, permitting copying and reproduction so long as the original work is given appropriate credit.
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This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.