Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/151558 |
Resumo: | Background: Stigma is one of the most significant constraints on people living with depression. There is a lack of validated scales in Portugal to measure depression stigma; therefore, the Depression Stigma Scale (DSS) is essential to the depression stigma research in Portugal. Methods: We developed the adaptation process with the ITC Guidelines for Translation and Adapting Tests taken into consideration. We collected the sample as part of the OSPI program—Optimizing suicide prevention programs and their implementation in Europe, specifically within the application in Portugal, and included 1693 participants. Floor-ceiling effects and response ranges were analyzed, and we calculated Cronbach alphas, and Confirmatory Analysis. Validity evidence was tested with two well-documented hypotheses, using data on gender and depression symptoms. Results: The sample was well comparable with the general Portuguese population, indicating its representativeness. We identified a three-factor structure in each subscale (personal and perceived stigma): weak-not-sick, discrimination, and dangerous/unpredictable, with good model fit results. The Cronbach's alphas were satisfactory, and validity was confirmed. Conclusions: This study established the validity and demonstrated good psychometric properties of the DSS in the Portuguese population. The validation of the DSS can be beneficial in exploring stigma predictors and evaluating the effectiveness of stigma reduction interventions. © 2022, The Author(s). |
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Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatologyDepression stigma Portuguese population; Perceived stigma; Personal stigma; Stigma scaleBackground: Stigma is one of the most significant constraints on people living with depression. There is a lack of validated scales in Portugal to measure depression stigma; therefore, the Depression Stigma Scale (DSS) is essential to the depression stigma research in Portugal. Methods: We developed the adaptation process with the ITC Guidelines for Translation and Adapting Tests taken into consideration. We collected the sample as part of the OSPI program—Optimizing suicide prevention programs and their implementation in Europe, specifically within the application in Portugal, and included 1693 participants. Floor-ceiling effects and response ranges were analyzed, and we calculated Cronbach alphas, and Confirmatory Analysis. Validity evidence was tested with two well-documented hypotheses, using data on gender and depression symptoms. Results: The sample was well comparable with the general Portuguese population, indicating its representativeness. We identified a three-factor structure in each subscale (personal and perceived stigma): weak-not-sick, discrimination, and dangerous/unpredictable, with good model fit results. The Cronbach's alphas were satisfactory, and validity was confirmed. Conclusions: This study established the validity and demonstrated good psychometric properties of the DSS in the Portuguese population. The validation of the DSS can be beneficial in exploring stigma predictors and evaluating the effectiveness of stigma reduction interventions. © 2022, The Author(s).BMC20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/151558eng1477-752510.1186/s12955-022-01945-7Conceição, VRothes, ISevero, MGriffiths, KHegerl, UGusmão, Rinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:17:59Zoai:repositorio-aberto.up.pt:10216/151558Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:20:02.643294Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology |
title |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology |
spellingShingle |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology Conceição, V Depression stigma Portuguese population; Perceived stigma; Personal stigma; Stigma scale |
title_short |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology |
title_full |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology |
title_fullStr |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology |
title_full_unstemmed |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology |
title_sort |
Psychometric properties of the Depression Stigma Scale in the Portuguese population and its association with gender and depressive symptomatology |
author |
Conceição, V |
author_facet |
Conceição, V Rothes, I Severo, M Griffiths, K Hegerl, U Gusmão, R |
author_role |
author |
author2 |
Rothes, I Severo, M Griffiths, K Hegerl, U Gusmão, R |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Conceição, V Rothes, I Severo, M Griffiths, K Hegerl, U Gusmão, R |
dc.subject.por.fl_str_mv |
Depression stigma Portuguese population; Perceived stigma; Personal stigma; Stigma scale |
topic |
Depression stigma Portuguese population; Perceived stigma; Personal stigma; Stigma scale |
description |
Background: Stigma is one of the most significant constraints on people living with depression. There is a lack of validated scales in Portugal to measure depression stigma; therefore, the Depression Stigma Scale (DSS) is essential to the depression stigma research in Portugal. Methods: We developed the adaptation process with the ITC Guidelines for Translation and Adapting Tests taken into consideration. We collected the sample as part of the OSPI program—Optimizing suicide prevention programs and their implementation in Europe, specifically within the application in Portugal, and included 1693 participants. Floor-ceiling effects and response ranges were analyzed, and we calculated Cronbach alphas, and Confirmatory Analysis. Validity evidence was tested with two well-documented hypotheses, using data on gender and depression symptoms. Results: The sample was well comparable with the general Portuguese population, indicating its representativeness. We identified a three-factor structure in each subscale (personal and perceived stigma): weak-not-sick, discrimination, and dangerous/unpredictable, with good model fit results. The Cronbach's alphas were satisfactory, and validity was confirmed. Conclusions: This study established the validity and demonstrated good psychometric properties of the DSS in the Portuguese population. The validation of the DSS can be beneficial in exploring stigma predictors and evaluating the effectiveness of stigma reduction interventions. © 2022, The Author(s). |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/151558 |
url |
https://hdl.handle.net/10216/151558 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1477-7525 10.1186/s12955-022-01945-7 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
BMC |
publisher.none.fl_str_mv |
BMC |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136117610512384 |