Preliminary Analysis of an Explanatory Model of Suicidal Ideation in Healthcare Workers: Influence of Anxiety and Depression
Descripción del Articulo
Recent research highlights the alarming increase in suicidal behavior worldwide. In the Peruvian context, the increase in suicide cases and the lack of evidence-based detection tools constitute a significant challenge. Early identification of suicidal ideation is crucial to prevent suicide, and it i...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2024 |
Institución: | Universidad César Vallejo |
Repositorio: | Revistas - Universidad César Vallejo |
Lenguaje: | inglés |
OAI Identifier: | oai:oai.revistas.ucv.edu.pe:article/2791 |
Enlace del recurso: | http://revistas.ucv.edu.pe/index.php/psiquemag/article/view/2791 |
Nivel de acceso: | acceso abierto |
Materia: | ideación suicida Profesionales de salud salud mental Suicidio Suicidal ideation Health professionals Mental health Suicide |
Sumario: | Recent research highlights the alarming increase in suicidal behavior worldwide. In the Peruvian context, the increase in suicide cases and the lack of evidence-based detection tools constitute a significant challenge. Early identification of suicidal ideation is crucial to prevent suicide, and it is essential to have tools that allow robust interpretations and inferences to be made from the data obtained. The purpose of this study was to evaluate an explanatory model for suicidal ideation in relation to depression and anxiety. The sample consisted of 86 health professionals working during the year 2023, selected using a snowball sampling method and inclusion criteria. Suicidal ideation was found to be influenced by anxiety and depression in health personnel. In addition, a significant influence of IFIS scores on depression was observed (β=0.63; p=0.041), whereas no significant influence on anxiety was found in this study (β=0.17; p=0.041), with a notable effect size. In conclusion, the model based on anxiety and depression in relation to suicidal ideation is determined to be optimal. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).