Abstract：
BACKGROUND: The COVID-19 pandemic has had situational impacts and induced various psychological responses among residents. The present study aims to analyze the network structure of psychological responses to the pandemic and their relationships with situational impact, resilience, and well-being through a network approach.
METHODS: An online survey recruited 1122 residents (mean age = 32.5 years, 65.4 % female) in Hong Kong from October 2020 to October 2021. The participants completed the Mental Impact and Distress Scale: Psychological Response (MIDc-PR) and other validated measures. Gaussian graphical modeling was conducted in R to identify the central MIDc-PR symptoms and their bridge linkages with situational impact, resilience, and well-being.
RESULTS: In the MIDc-PR network, the central symptoms were \'Routine\' and \'Images\' for Anticipation and \'Tense\' and \'Lonely\' for Modulation, with 12 bridge edges between the two clusters. In the combined network, the MIDc-PR nodes showed 12 bridge edges with situational impact, particularly in the health domain. \'Concerned\', \'Sleep\', and \'Lonely\' showed negative linkages with resilience; \'Unmotivated\' and \'Trapped\' showed negative linkages with well-being. The network models showed good levels of stability and did not differ significantly in network structure and global strength across gender and age groups.
CONCLUSIONS: The cross-sectional study design only allowed undirected associations in the network and could not model the within-subject effects.
CONCLUSIONS: The study findings contributed to the literature by elucidating the network structure of psychological responses to the pandemic. The central and bridge symptoms have clinical implications as potential targets for future interventions.
METHODS: An online survey recruited 1122 residents (mean age = 32.5 years, 65.4 % female) in Hong Kong from October 2020 to October 2021. The participants completed the Mental Impact and Distress Scale: Psychological Response (MIDc-PR) and other validated measures. Gaussian graphical modeling was conducted in R to identify the central MIDc-PR symptoms and their bridge linkages with situational impact, resilience, and well-being.
RESULTS: In the MIDc-PR network, the central symptoms were \'Routine\' and \'Images\' for Anticipation and \'Tense\' and \'Lonely\' for Modulation, with 12 bridge edges between the two clusters. In the combined network, the MIDc-PR nodes showed 12 bridge edges with situational impact, particularly in the health domain. \'Concerned\', \'Sleep\', and \'Lonely\' showed negative linkages with resilience; \'Unmotivated\' and \'Trapped\' showed negative linkages with well-being. The network models showed good levels of stability and did not differ significantly in network structure and global strength across gender and age groups.
CONCLUSIONS: The cross-sectional study design only allowed undirected associations in the network and could not model the within-subject effects.
CONCLUSIONS: The study findings contributed to the literature by elucidating the network structure of psychological responses to the pandemic. The central and bridge symptoms have clinical implications as potential targets for future interventions.
摘要：
背景：COVID-19大流行在居民中产生了情境影响，并引起了各种心理反应。本研究旨在分析大流行心理反应的网络结构及其与情境影响的关系。弹性，和幸福通过网络的方法。
方法：一项在线调查招募了1122名居民（平均年龄=32.5岁，65.4%女性）在2020年10月至2021年10月期间在香港。参与者完成了心理影响和困扰量表：心理反应（MIDc-PR）和其他经过验证的措施。在R中进行高斯图形建模，以确定中心MIDc-PR症状及其与情境影响的桥梁联系，弹性，和幸福。
结果：在MIDc-PR网络中，中心症状是“常规”和“图像”，用于预期，“紧张”和“孤独”，用于调节，在两个集群之间有12个桥边。在组合网络中，MIDc-PR节点显示12个具有情境影响的桥边，特别是在健康领域。\'关注\',\'睡眠\',“孤独”和“孤独”显示出与韧性的负相关；“无动机”和“被困”显示出与幸福感的负相关。网络模型显示出良好的稳定性，并且在性别和年龄组之间在网络结构和全球强度方面没有显着差异。
结论：横断面研究设计仅允许网络中的无方向关联，无法对受试者内部效应进行建模。
结论：研究结果通过阐明对流行病的心理反应的网络结构，为文献做出了贡献。中心和桥症状具有临床意义，可作为未来干预的潜在目标。
方法：一项在线调查招募了1122名居民（平均年龄=32.5岁，65.4%女性）在2020年10月至2021年10月期间在香港。参与者完成了心理影响和困扰量表：心理反应（MIDc-PR）和其他经过验证的措施。在R中进行高斯图形建模，以确定中心MIDc-PR症状及其与情境影响的桥梁联系，弹性，和幸福。
结果：在MIDc-PR网络中，中心症状是“常规”和“图像”，用于预期，“紧张”和“孤独”，用于调节，在两个集群之间有12个桥边。在组合网络中，MIDc-PR节点显示12个具有情境影响的桥边，特别是在健康领域。\'关注\',\'睡眠\',“孤独”和“孤独”显示出与韧性的负相关；“无动机”和“被困”显示出与幸福感的负相关。网络模型显示出良好的稳定性，并且在性别和年龄组之间在网络结构和全球强度方面没有显着差异。
结论：横断面研究设计仅允许网络中的无方向关联，无法对受试者内部效应进行建模。
结论：研究结果通过阐明对流行病的心理反应的网络结构，为文献做出了贡献。中心和桥症状具有临床意义，可作为未来干预的潜在目标。
