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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.
RESUMO
AIMS: We aimed to identify the prevalence of anxiety, depression, and suicidality and identify relevant risk and protecting factors among university students during the COVID-19 pandemic in Georgia. MATERIALS AND METHODS: We conducted an anonymous online survey (n = 984, convenience sample by approaching all universities in Georgia and some student organizations) using valid instruments (e.g., STAI to assess anxiety, CES-D for depression, and RASS to assess suicidality). We calculated frequencies and prevalence and applied regression analysis and Chi-square tests to identify risk and protecting factors. FINDINGS: Respondents' mental health had been significantly affected (with a high prevalence of depression (46.7%) and anxiety (79%)) during the pandemic (which coincided with political turmoil and caused an economic crisis) in Georgia. Some of the critical factors affecting mental health were: female sex (p = .000), bad general health condition (anxiety p = .001, depression p = .004), finances (anxiety and depression p < .001), reduced physical activity (anxiety p < .001, depression p = .014), and a history of self-harming (suicidality p < .001). Less family conflicts (anxiety and depression p < .05), absence of nightmares (anxiety and depression p < .001), moderate or low fears of COVID-19 (anxiety p < .001), and lower substance use (anxiety p = .023) were among the potentially protective factors. International students coped better, despite vulnerability. Medical students had a lower risk of depression. CONCLUSIONS: In the complex socioeconomic context, mental health of students in Georgia suffered a lot during the COVID-19 pandemic, requiring thorough planning and delivery of student support services in higher educational institutions during and after the pandemic.
