Suicide-associated factors in the medical class: meta-analysis and predictive inference / Factores associados ao suicídio na classe médica: meta-análise e inferência preditiva

• Autor(a) principal: Monteiro, Gusttawo Cândido Feitoza
• Data de Publicação: 2021
• Outros Autores: Salmito, Iraci Alice Filizola, Filgueiras, Ana Beatriz Tavares, Pimentel, João Vitor Cândido, Silva, Ricardo Siqueira Dodou da, Lima, Nailê Cândido Feitoza de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Veras
• Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/28339
• topic: Suicídio; Classe Média; Inferência Preditiva.

Suicide is considered an important public health problem and with considerable rates around the world(1). Some population groups become more susceptible to this worsening of mental health. One of these classes is the medical one, and it has been affecting both health students as professionals. The estimated average of depression is 25%, representing a risk factor for suicidal ideation, and a frequency of 2.45 times higher when compared to other people(2).The Medical school requires an integral health (physical and mental), because there is a constant need for resistance to consecutive pressures to which students are subject(3). These situations may lead to the development of depression, bipolar disorder, addiction to alcohol and other drugs and much anxiety. All of these factors may contribute to a rate of 70% of suicide, being higher in doctors than in the general population(4).The high rates of suicide in the medical class incites the need for analyses and discussions on the topic, these points allow planning potential strategies for the development of health prevention. Thus, the objective of this study was to analyze suicide-associated factors in the medical class.In order to substantiate the study, a systematic literature search was performed on MEDINLIE, PUBMED, SciELO, SCOPUS, LILACS, Science Direct and Web of Science. Other relevant literatures were also considered, such as arguments of authority for reasoning.There was inclusion of studies without temporal clipping, due to the scarcity of studies specifically involving the medical class; available with abstract or in full, excluding studies with a high risk of bias analyzed by the GRADE system. There was analysis of risk factors for the development of suicide among students and doctors, as well as the proportion of the class affected.The information was collected with the use of descriptors and the following strategy: “risk factors" AND “suicide" AND doctors. The information extracted was the number of suicides and associated risk factors. A correlation analysis and proportion were carried out using the software Rtudio.Initially, 470 studies were found, of which 10 were selected to compose the reasoning and analysis. Figure 1 unveils the analysis of the association between the area (medicine) and the development of suicide and figure 2, the ratio of these cases.