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Depression and loneliness symptoms in Brazilian older people during the COVID-19 pandemic: a network approach.
Ferreira, Heloísa Gonçalves; França, Alex Bacadini.
Afiliação
  • Ferreira HG; Department of Cognition and Human Development, Rio de Janeiro State University, Rio de Janeiro, Brazil.
  • França AB; Department of Psychology, Federal University of São Carlos, São Carlos, Brazil.
Aging Ment Health ; 27(12): 2474-2481, 2023.
Article em En | MEDLINE | ID: mdl-37079780
OBJECTIVES: Depression and loneliness in older people were a global challenge during the COVID-19 pandemic. Causal mechanisms to trigger depression might vary across different life events. We aimed to apply network analysis in a sample of Brazilian older people during the first wave of the COVID-19 pandemic, to investigate if loneliness and depression symptoms were connected within a psychological network. We explored how symptoms manifested and interacted, to discuss possible interventions that could mitigate late-life depression and loneliness symptoms in face of the COVID-19 pandemic. METHOD: We collected data from 384 Brazilian older people who answered an online protocol to assess sociodemographic data, loneliness symptoms (assessed by the short version of UCLA-BR), and depression symptoms (assessed by the PHQ-2). RESULTS: 'Lack of companionship' was the bridge symptom connecting loneliness and depression communities. 'I feel shut out and excluded by others' and 'People are around me, but not with me' were the most predictable symptoms of loneliness. CONCLUSION: Interventions aimed to promote older people's social participation and skills, combined with strategies to expand their sources of social support and combat ageism, might be relevant to mitigate symptoms of loneliness and depression in older people during a crisis like the COVID-19 pandemic.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2023 Tipo de documento: Article