Fear of Covid-19, anxiety, and depression during the pandemic: A network analysis

Abstract

Introduction: Covid-19 has generated several psychological impacts on people’s lives and brought new challenges for dealing with the pandemic’s repercussions. Objective: The objective was to analyse the relationship between the symptoms of fear of Covid-19, anxiety, and depression using different samples extracted at three distinct time-points. This study performed a network analysis of the fear of Covid-19 and anxiety- and depression-related symptoms based on data collected during the Covid-19 pandemic. Method: Three yearly cross-sectional surveys were conducted based on independent samples (2020–2022) of Brazilian adults (Time-point 1, Time-point 2, and Time-point 3 with 1,520, 1,523, and 1,517 participants, respectively). The Fear of Covid-19 Scale, the Generalised Anxiety Disorder Scale (7 items), and the Patient Health Questionnaire (9 items) were applied. The network structure invariance, the global strength invariance, and the strength of centrality index between the samples were compared. Results: Items from the three instruments had high values (>70%) in all samples (excluding the fear of Covid-19 at Time-point 3). Depression and anxiety symptoms increased, while fear-related behaviours decreased. Network analysis indicates that networks became progressively more parsimonious, and few edges connected different scales. Network comparisons revealed similar structures,but key differences were found: Time-point 1 showed significantly higher global connectivity,and changes in edge weights were observed only within the scales. Conclusions: Our findings suggest that the pandemic had a greater disorganising impact at its beginning, with a continuous increase in the mental health symptomatology and a reduction in the ratio between fear and anxiety and/or depression.