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. 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. 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:- Are schizotypal traits and paranoia positively related to poorer mental health during the pandemic?- Do network structures and connections of the above variables differ by gender, age, country and over time?

DOI https://doi.org/10.5522/04/14388428.v2
Related Identifier https://ndownloader.figshare.com/files/27489152
Related Identifier https://ndownloader.figshare.com/files/27530492
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/14388428
Creator Wong, Keri Ka-Yee ORCID logo
Publisher University College London UCL
Contributor Figshare
Publication Year 2021
Rights https://creativecommons.org/licenses/by-nc-sa/4.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Language English
Resource Type Poster; Image
Discipline Psychology; Social and Behavioural Sciences