Identification of Depression Among Elderly During COVID-19

Elderly population is increasing, while the world has been facing the novel coronavirus (COVID-19), which causes a greater adverse impact among older population in various aspects of their lives, such as depression, daily routine disruption, illness, and social and emotional issues. The purpose of this study was to assess the elderly's depression during the COVID-19 pandemic, and the risk factors including socio-demographic, physical and psychosocial conditions, as well as family support. The method used was cross-sectional design, with a total sampling of 457 participants. The measuring instruments used were ADL (Activities of Daily Living Scale) and IADL (Lowton and Brody Instrumental Activities of Daily Living Scale) for physical activities assessment, APGAR (Adaptability, Participation, Growth, Affection, Resolution) for family support function assessment, and Geriatric Depression Scale (GDS) for depression level measurement, with additional questions for psychosocial assessment. 212 elderlies (46.4%) were found with no depression tendency, 183 elderlies (40%) had a tendency of depression, and 62 elderlies (13.6%) had depression. These depression issues were significantly linked to retirement and income among elderly, dependency, fitness and health status, family and social support, and sources of funds. In the presence of depression, control measures for social, health, and psychosocial support must be implemented in order to minimize its impact among the elderly.

Automated summary

This study aims to assess depression among the elderly during the COVID-19 pandemic and to identify risk factors associated with it, such as socio-demographic, physical and psychosocial conditions, and family support. The findings showed significant associations between depression and retirement/income, dependency, fitness/health status, family/social support, and sources of funds. Measures for social, health, and psychosocial support should be implemented to minimize the impact of depression among the elderly.