%0 Journal Article
%T Psychological responses to the COVID-19 pandemic and situational impact: A network analysis in Hong Kong residents.
%A Fong TCT
%A Chang K
%A Ho RTH
%A Chio FHN
%A Yip PSF
%A Wen M
%J J Affect Disord
%V 0
%N 0
%D 2024 Jun 28
%M 38945403
%F 6.533
%R 10.1016/j.jad.2024.06.105
%X <B>BACKGROUND: </B>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.<BR><B>METHODS: </B>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.<BR><B>RESULTS: </B>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.<BR><B>CONCLUSIONS: </B>The cross-sectional study design only allowed undirected associations in the network and could not model the within-subject effects.<BR><B>CONCLUSIONS: </B>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.