焦虑
易怒
精神科
萧条(经济学)
无血性
心情
心理健康
医学
临床心理学
心理干预
心理学
纵向研究
2019年冠状病毒病(COVID-19)
人口
疾病
内科学
传染病(医学专业)
经济
宏观经济学
精神分裂症(面向对象编程)
环境卫生
病理
作者
Cristian Ramos-Vera,Angel García O’Diana,Miguel Basauri-Delgado,Yaquelin E. Calizaya-Milla,Jacksaint Saintila
标识
DOI:10.1038/s41598-024-58256-8
摘要
The health crisis caused by COVID-19 in the United Kingdom and the confinement measures that were subsequently implemented had unprecedented effects on the mental health of older adults, leading to the emergence and exacerbation of different comorbid symptoms including depression and anxiety. This study examined and compared depression and anxiety symptom networks in two specific quarantine periods (June-July and November-December) in the older adult population in the United Kingdom. We used the database of the English Longitudinal Study of Aging COVID-19 Substudy, consisting of 5797 participants in the first stage (54% women) and 6512 participants in the second stage (56% women), all over 50 years of age. The symptoms with the highest centrality in both times were: "Nervousness (A1)" and "Inability to relax (A4)" in expected influence and predictability, and "depressed mood (D1"; bridging expected influence). The latter measure along with "Irritability (A6)" overlapped in both depression and anxiety clusters in both networks. In addition, a the cross-lagged panel network model was examined in which a more significant influence on the direction of the symptom "Nervousness (A1)" by the depressive symptoms of "Anhedonia (D6)", "Hopelessness (D7)", and "Sleep problems (D3)" was observed; the latter measure has the highest predictive capability of the network. The results report which symptoms had a higher degree of centrality and transdiagnostic overlap in the cross-sectional networks (invariants) and the cross-lagged panel network model of anxious and depressive symptomatology.
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