Changes in depression trends during and after the COVID-19 pandemic among older adults in Korea.
Kyu-Hyoung JeongJu Hyun RyuSeoyoon LeeSunghee KimPublished in: Global mental health (Cambridge, England) (2024)
This study aimed to complement the previous studies conducted within a short period of time by examining the long-term trends in depression levels of older adults through a longitudinal study that includes the period following the onset of COVID-19. For analysis, this study used the data from the 12th (2017) through 16th (2021) Korea Welfare Panel Study, and 2,716 data of older adults 65 years and older were included. Variables included gender, age, equalized annual income (USD $), education background, residential area, living alone and disability status. As a result, two types of changes in depression were identified: the 'rapidly rising' type and the 'steadily increasing'. We found that the lower the equalized annual income, women, the lower the education, living in urban and living alone showed a higher likelihood of belonging to the 'rapidly rising' type. The result suggests that those at risk of depression are at much higher risk during and after the COVID-19 pandemic. It is also necessary to provide timely and effective guidelines to prevent depression in older adults when implementing policies in response to an outbreak of infectious diseases, such as COVID-19.
Keyphrases
- physical activity
- depressive symptoms
- coronavirus disease
- sleep quality
- sars cov
- infectious diseases
- mental health
- public health
- quality improvement
- multiple sclerosis
- electronic health record
- machine learning
- adipose tissue
- metabolic syndrome
- polycystic ovary syndrome
- insulin resistance
- deep learning
- artificial intelligence
- middle aged
- community dwelling