Title Students' mental health during the pandemic: results of the observational cross-sectional COVID-19 MEntal health inTernational for university Students (COMET-S) study /
Authors Fountoulakis, Konstantinos N ; Alias, Nor Aziah ; Bjedov, Sarah ; Fountoulakis, Nikolaos K ; Gonda, Xenia ; Hilbig, Jan ; Jakovljević, Miro ; Kulig, Barbara ; Mahale, Girija ; Manafis, Alexandros ; Mohammed, Muftau ; Nadareishvili, Ilia ; Navickas, Alvydas ; Patsali, Mikaella E ; Pavlichenko, Alexey ; Pilaga, Sindija Mairita ; Razali, Salmi ; Romanov, Dmitry ; Rossitza, Iakimova ; Salihu, Auwal Sani ; Sinauridze, Ana ; Stoyanova, Maria ; Thosar, Ketaki ; Vorobjova, Julija ; Vrublevska, Jelena ; Rancans, Elmars ; Javed, Afzal ; Theodorakis, Pavlos N ; Breda, Joao ; Smirnova, Daria
DOI 10.3389/fpsyt.2023.1320156
Full Text Download
Is Part of Frontiers in psychiatry.. Lausanne : Frontiers Media SA. 2023, vol. 14, art. no. 1320156, p. [1-15].. ISSN 1664-0640
Keywords [eng] conspiracy theories ; COVID-19 ; depression ; mental health ; suicidality ; university students
Abstract [eng] Introduction: The aim of the study was to search rates of depression and mental health in university students, during the COVID-19 pandemic. Materials and methods: This is an observational cross-sectional study. A protocol gathering sociodemographic variables as well as depression, anxiety and suicidality and conspiracism was assembled, and data were collected anonymously and online from April 2020 through March 2021. The sample included 12,488 subjects from 11 countries, of whom 9,026 were females (72.2%; aged 21.11 ± 2.53), 3,329 males (26.65%; aged 21.61 ± 2.81) and 133 “non-binary gender” (1.06%; aged 21.02 ± 2.98). The analysis included chi-square tests, correlation analysis, ANCOVA, multiple forward stepwise linear regression analysis and Relative Risk ratios. Results: Dysphoria was present in 15.66% and probable depression in 25.81% of the total study sample. More than half reported increase in anxiety and depression and 6.34% in suicidality, while lifestyle changes were significant. The model developed explained 18.4% of the development of depression. Believing in conspiracy theories manifested a complex effect. Close to 25% was believing that the vaccines include a chip and almost 40% suggested that facemask wearing could be a method of socio-political control. Conspiracism was related to current depression but not to history of mental disorders. Discussion: The current study reports that students are at high risk for depression during the COVID-19 pandemic and identified specific risk factors. It also suggested a role of believing in conspiracy theories. Further research is important, as it is targeted intervention in students' groups that are vulnerable both concerning mental health and conspiracism.
Published Lausanne : Frontiers Media SA
Type Journal article
Language English
Publication date 2023
CC license CC license description