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孤独与焦虑和抑郁有何关系:早期封锁期间基于人群的网络分析。

How is loneliness related to anxiety and depression: A population-based network analysis in the early lockdown period.

机构信息

Faculty of Life and Health Sciences, Ulster University, Coleraine, UK.

Department of Psychology, University of Sheffield, Sheffield, UK.

出版信息

Int J Psychol. 2022 Oct;57(5):585-596. doi: 10.1002/ijop.12851. Epub 2022 May 6.

Abstract

High risk of mental health problems is associated with loneliness resulting from social distancing measures and "lockdowns" that have been imposed globally due to the COVID-19 pandemic. This study explores the interconnectedness of loneliness, anxiety and depression on a symptom level using network analysis. A representative sample of participants (N = 1041), who were of at least 18 years of age, was recruited from the Republic of Ireland (ROI). Loneliness, anxiety and depression were assessed using validated instruments. Network analysis was used to identify the network structure of loneliness, anxiety and depression. Loneliness was found to be largely isolated from anxiety and depression nodes in the network. Anxiety and depression were largely interconnected. "Trouble relaxing," "feeling bad about oneself" and "not being able to stop or control worrying" were suggested as the most influential nodes of the network. Despite the expectation that loneliness would be implicated more robustly in the anxiety and depression network of symptoms, the results suggest loneliness as a distinct construct that is not interwoven with anxiety and depression.

摘要

由于 COVID-19 大流行,全球范围内实施了社交距离措施和“封锁”,导致心理健康问题的风险很高。本研究使用网络分析探讨了孤独感、焦虑和抑郁在症状层面上的相互关联性。从爱尔兰共和国(ROI)招募了一个具有代表性的参与者样本(N=1041),年龄至少为 18 岁。使用经过验证的工具评估孤独感、焦虑和抑郁。使用网络分析来确定孤独感、焦虑和抑郁的网络结构。在网络中,孤独感与焦虑和抑郁节点基本上是孤立的。焦虑和抑郁在很大程度上是相互关联的。“难以放松”、“自我感觉不好”和“无法停止或控制担忧”被认为是网络中最有影响力的节点。尽管预期孤独感会更强烈地涉及焦虑和抑郁的症状网络,但结果表明孤独感是一个独特的结构,与焦虑和抑郁没有交织在一起。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dae/9545877/254c028ae8ea/IJOP-57-585-g004.jpg

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