Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Comparison of networks of loneliness, depressive symptoms, and anxiety symptoms in at-risk community-dwelling older adults before and during COVID-19

作者:Tianyin Liu, Yunhan Wang, Zuna Loong Yee Ng, Wen Zhang, Stephanie Ming Yin Wong, Gloria Hoi Yan Wong, Terry Yat Sang Lum · 发表于:Scientific Reports · 年份:2024 · DOI:10.1038/s41598-024-65533-z · 被引用次数:9 · 研究领域:Mental Health Research Topics、Health disparities and outcomes、Psychological Well-being and Life Satisfaction

Network analysis provides an innovative approach to examining symptom-to-symptom interactions in mental health, and adverse external conditions may change the network structures. This study compared the networks of common risk factors and mental health problems (loneliness, depressive symptoms, and anxiety symptoms) in community-dwelling older people before and during COVID-19. Older adults (aged ≥ 60) at risk for depression were recruited through non-governmental organizations. Loneliness, depressive symptoms and anxiety symptoms were measured using the three-item Loneliness Scale (UCLA-3), nine-item Patient Health Questionnaire (PHQ-9), and seven-item Generalized Anxiety Disorder Scale (GAD-7), respectively. Data from 2549 (before) and 3506 (during COVID-19) respondents were included using propensity score matching. Being restless (GAD-7-item5) was most central, indicated by Expected Influence, in both pre and during COVID-19 networks despite low severity (mean score). The network during COVID-19 had higher global strength and edge variability than the pre-pandemic network, suggesting easier symptom spread and potentially more complex symptom presentation. In addition, feeling isolated from others (UCLA-3-item3) had stronger connections with feeling worthless/guilty (PHQ-9-item6) and anticipatory anxiety (GAD-7-item7) during COVID-19 than before. These findings may enhance our knowledge of the symptom structure of common mental health problems and the impacts of the pandemi...