Self-stigma profiles in schizophrenia: a Latent Class Analysis approach
Objective: this study aimed at analyzing the internalized stigma latent profiles and the covariates that predict variations in their levels considering antecedent variables such as ethnicity, gender and some relevant clinical characteristics like premorbid adjustment, Duration of Untreated Psychosi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universidade de São Paulo
2025-07-01
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| Series: | Revista Latino-Americana de Enfermagem |
| Subjects: | |
| Online Access: | http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0104-11692025000100343&lng=en&tlng=en |
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| _version_ | 1849469681006542848 |
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| author | Alejandra Caqueo-Urízar Felipe Ponce-Correa Alfonso Urzúa Guillaume Fond Laurent Boyer |
| author_facet | Alejandra Caqueo-Urízar Felipe Ponce-Correa Alfonso Urzúa Guillaume Fond Laurent Boyer |
| author_sort | Alejandra Caqueo-Urízar |
| collection | DOAJ |
| description | Objective: this study aimed at analyzing the internalized stigma latent profiles and the covariates that predict variations in their levels considering antecedent variables such as ethnicity, gender and some relevant clinical characteristics like premorbid adjustment, Duration of Untreated Psychosis and symptoms. Method: Latent Class Analysis (LCA) was used to devise a solution with three internalized stigma profiles in a sample comprised by 227 patients diagnosed with schizophrenia from the Public Mental Health Centers of the city of Arica, Chile. Results: the results showed that premorbid adjustment is a significant predictor of class belonging for the latent stigma profiles. When analyzing the sociodemographic characteristics and contrary to what was hypothesized, ethnicity was not a relevant predictor of internalized stigma profiles. Conclusion: the latent classification model is suitable for assessing stigma profiles in order to target future interventions in specific foci and at-risk populations. |
| format | Article |
| id | doaj-art-3b7352b33d784fdc985be1c27132fd1e |
| institution | Kabale University |
| issn | 1518-8345 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Universidade de São Paulo |
| record_format | Article |
| series | Revista Latino-Americana de Enfermagem |
| spelling | doaj-art-3b7352b33d784fdc985be1c27132fd1e2025-08-20T03:25:23ZengUniversidade de São PauloRevista Latino-Americana de Enfermagem1518-83452025-07-013310.1590/1518-8345.7504.4593Self-stigma profiles in schizophrenia: a Latent Class Analysis approachAlejandra Caqueo-Urízarhttps://orcid.org/0000-0002-4614-8380Felipe Ponce-Correahttps://orcid.org/0000-0002-4768-5057Alfonso Urzúahttps://orcid.org/0000-0002-0882-2194Guillaume Fondhttps://orcid.org/0000-0003-3249-2030Laurent Boyerhttps://orcid.org/0000-0002-1375-1706 Objective: this study aimed at analyzing the internalized stigma latent profiles and the covariates that predict variations in their levels considering antecedent variables such as ethnicity, gender and some relevant clinical characteristics like premorbid adjustment, Duration of Untreated Psychosis and symptoms. Method: Latent Class Analysis (LCA) was used to devise a solution with three internalized stigma profiles in a sample comprised by 227 patients diagnosed with schizophrenia from the Public Mental Health Centers of the city of Arica, Chile. Results: the results showed that premorbid adjustment is a significant predictor of class belonging for the latent stigma profiles. When analyzing the sociodemographic characteristics and contrary to what was hypothesized, ethnicity was not a relevant predictor of internalized stigma profiles. Conclusion: the latent classification model is suitable for assessing stigma profiles in order to target future interventions in specific foci and at-risk populations.http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0104-11692025000100343&lng=en&tlng=enSchizophreniaSocial StigmaLatent Class AnalysisMental Health ServicesSociodemographic FactorsPsychiatric Status Rating Scales |
| spellingShingle | Alejandra Caqueo-Urízar Felipe Ponce-Correa Alfonso Urzúa Guillaume Fond Laurent Boyer Self-stigma profiles in schizophrenia: a Latent Class Analysis approach Revista Latino-Americana de Enfermagem Schizophrenia Social Stigma Latent Class Analysis Mental Health Services Sociodemographic Factors Psychiatric Status Rating Scales |
| title | Self-stigma profiles in schizophrenia: a Latent Class Analysis approach |
| title_full | Self-stigma profiles in schizophrenia: a Latent Class Analysis approach |
| title_fullStr | Self-stigma profiles in schizophrenia: a Latent Class Analysis approach |
| title_full_unstemmed | Self-stigma profiles in schizophrenia: a Latent Class Analysis approach |
| title_short | Self-stigma profiles in schizophrenia: a Latent Class Analysis approach |
| title_sort | self stigma profiles in schizophrenia a latent class analysis approach |
| topic | Schizophrenia Social Stigma Latent Class Analysis Mental Health Services Sociodemographic Factors Psychiatric Status Rating Scales |
| url | http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0104-11692025000100343&lng=en&tlng=en |
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