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  • 标题:Solidão como variável preditora na depressão em adultos
  • 本地全文:下载
  • 作者:Sabrina Martins Barroso ; Makilim Nunes Baptista ; Cristian Zanon
  • 期刊名称:Estudos Interdisciplinares em Psicologia
  • 印刷版ISSN:2236-6407
  • 出版年度:2018
  • 卷号:9
  • 期号:3supl
  • 页码:26-37
  • DOI:10.5433/2236-6407.2018v9n3suplp26
  • 语种:Portuguese
  • 出版社:Universidade Estadual de Londrina
  • 摘要:Depression is a multifactorial and high prevalence disorder considered a global public health problem. There are several variables involved in the development and maintenance of this disorder, including psychological, social and biological ones. The objective of this research was to evaluate loneliness as a predictive factor in adult depression, after controlling other predictors such as anxiety, stress, neuroticism and clinical variables. The sample consisted of 297 university students from Minas Gerais, São Paulo and Rio de Janeiro. The scales used were EBADEP-A, DASS-21, UCLA, MHI-5 and IGFP-5. After multiple hierarchical regression, the results showed that mental health, neuroticism, anxiety and loneliness were the main predictors. Loneliness, after controlling for all variables, increased 1% of exclusive variance in the model and was one of the most relevant predictors of depression. Clinical evaluation and interventions should consider loneliness in clinical practice.
  • 其他摘要:Depression is a multifactorial and high prevalence disorder considered a global public health problem. There are several variables involved in the development and maintenance of this disorder, including psychological, social and biological ones. The objective of this research was to evaluate loneliness as a predictive factor in adult depression, after controlling other predictors such as anxiety, stress, neuroticism and clinical variables. The sample consisted of 297 university students from Minas Gerais, São Paulo and Rio de Janeiro. The scales used were EBADEP-A, DASS-21, UCLA, MHI-5 and IGFP-5. After multiple hierarchical regression, the results showed that mental health, neuroticism, anxiety and loneliness were the main predictors. Loneliness, after controlling for all variables, increased 1% of exclusive variance in the model and was one of the most relevant predictors of depression. Clinical evaluation and interventions should consider loneliness in clinical practice.
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