期刊
出版社
MDPI
DOI: 10.3390/ijerph18041853
关键词
COVID-19; older adults; depression; precautionary behavior; socioeconomic status; online survey; mental health
资金
- Strategic Development Fund (SDF) of Hong Kong Baptist University
The study found that during the COVID-19 pandemic, 30.8% of Chinese older adults showed significant depressive symptoms. Factors such as marital status and household income significantly affected the levels of depression, while changes in precautionary behavior were inversely associated with depression levels in older adults, with household income moderating this relationship.
The large-scale COVID-19 pandemic has not only resulted in the risk of death but also augmented the levels of depression in community-dwelling older adults. The present study aimed to investigate the characteristics of depression in Chinese older adults during the COVID-19 pandemic, to examine the association of individual precautionary behavior with older adults' depression levels, and to identify the moderating role of socioeconomic indicators in the aforementioned association. Five hundred and sixteen older adults were recruited from five cities of Hubei province in China. They were asked to complete an online questionnaire survey. Results showed that 30.8% of participants indicated a significant depressive symptom during the pandemic. Older adults' depression levels differed significantly in marital status, living situation, education level, household income, subjective health status, and infected cases of acquaintances. Precautionary behavior change showed significant inverse associations with older adults' depression levels, where household income moderated this relationship. This is the first study to investigate the characteristics, behavioral correlates, and moderators of depression among Chinese older adults during the COVID-19 pandemic. Research findings may provide new insights into interventions and policy-making on individual precautionary behavior and mental health among older adults for future pandemics.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据