Wong, Keri Ka-Yee;
Wang, Yi;
Esposito, Gianluca;
Raine, Adrian;
(2022)
A three-timepoint network analysis of Covid-19's impact on schizotypal traits, paranoia and mental health through loneliness.
UCL Open Environment
, 4
, Article 17. 10.14324/111.444/ucloe.000044.
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Abstract
The 2019 coronavirus (Covid-19) pandemic has impacted people's mental wellbeing. Studies to date have examined the prevalence of mental health symptoms (anxiety and depression), yet fewer longitudinal studies have compared across background factors and other psychological variables to identify vulnerable subgroups in the general population. This study tests to what extent higher levels of schizotypal traits and paranoia are associated with mental health variables 6- and 12-months since April 2020. Over 2300 adult volunteers (18-89 years, female = 74.9%) with access to the study link online were recruited from the UK, the USA, Greece and Italy. Self-reported levels of schizotypy, paranoia, anxiety, depression, aggression, loneliness and stress from three timepoints (17 April to 13 July 2020, N1 = 1599; 17 October to 31 January 2021, N2 = 774; and 17 April to 31 July 2021, N3 = 586) were mapped using network analysis and compared across time and background variables (sex, age, income, country). Schizotypal traits and paranoia were positively associated with poorer mental health through loneliness, with no effect of age, sex, income levels, countries and timepoints. Loneliness was the most influential variable across all networks, despite overall reductions in levels of loneliness, schizotypy, paranoia and aggression during the easing of lockdown (time 3). Individuals with higher levels of schizotypal traits/paranoia reported poorer mental health outcomes than individuals in the low-trait groups. Schizotypal traits and paranoia are associated with poor mental health outcomes through self-perceived feelings of loneliness, suggesting that increasing social/community cohesion may improve individuals' mental wellbeing in the long run.
| Type: | Article |
|---|---|
| Title: | A three-timepoint network analysis of Covid-19's impact on schizotypal traits, paranoia and mental health through loneliness |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.14324/111.444/ucloe.000044 |
| Publisher version: | https://doi.org/10.14324/111.444/ucloe.000044 |
| Language: | English |
| Additional information: | © 2022 The Authors. Creative Commons Attribution Licence (CC BY) 4.0 International licence (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Covid-19, anxiety, depression, loneliness, longitudinal, mental health, network analysis, paranoia, schizotypy, sleep, stress |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Psychology and Human Development |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10170948 |
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