A two-wave network analysis of COVID-19’s impact on schizotypal traits and mental health

Poster presented at the virtual Congress of Schizophrenia International Research Society (SIRS) Conference 2021 on 20 April 2021. <div><br></div><p>This poster is based on data collected through the UCL-Penn Global COVID study - a 30-minute online survey that is open to anyone 18 years and above with access to our study website link. I am the PI and started this 3-wave study last April, with a follow-up in the winter, and a final wave at 12-month follow-up taking place right now until July. Data being presented is from the first two waves of the study, which coincides with the UK national lockdowns this past year.</p><p> </p><p>The goal of this study was to address the gaps that exist in the current COVID literature. First, by mapping the relationships between schizotypal traits, paranoia and a wider range of mental health variables beyond measures of anxiety, depression, and loneliness. Second, assessing how these relationships change over a 6-month period using network analysis. This study aims to answer 2 study questions:</p><p><br></p><p>- Are schizotypal traits and paranoia positively related to poorer mental health during the pandemic?</p><p>- Do network structures and connections of the above variables differ by gender, age, country and over time?</p>