Lorena Cecilia López Steinmetz1,2, Candela Abigail Leyes2, María Agustina Dutto Florio2, Shao Bing Fong3, Romina Lucrecia López Steinmetz4, Juan Carlos Godoy1. 1. Laboratorio de Psicología, Instituto de Investigaciones Psicológicas (IIPsi), Facultad de Psicología, Universidad Nacional de Córdoba (UNC) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba, Argentina. 2. Decanato de Ciencias Sociales, Universidad Siglo 21, Córdoba, Argentina. 3. University of Melbourne, Faculty of Science, Melbourne, VIC, Australia. 4. Instituto de Evolución, Ecología Histórica y Ambiente (IDEVEA), Universidad Tecnológica Nacional (UTN) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Rafael, Mendoza, Argentina.
Abstract
Background: We aimed to: (1) analyze differences in both general (in terms of psychological well-being/discomfort, social functioning and coping, and psychological distress) and specific (depression, trait-anxiety, negative alcohol-related consequences, and suicidal risk) mental health state (MHS) in college students, residing in four different Argentinean regions (center, north, south, and the most populated) exposed to different spread-rates of the COVID-19; (2) analyze between-group differences in both general and specific MHS indicators at four quarantine sub-periods (twice prior, and twice following the first quarantine extension). Methods: We used a cross-sectional design with a convenience sample including 2,687 college students. Data was collected online during the Argentinean quarantine. We calculated one-way between-groups ANOVA with Tukey's post hoc test. Results: Regionally, the center and the most populated area differed in psychological well-being/discomfort and negative alcohol-related consequences, but not in the remaining MHS indicators. According to the quarantine sub-periods, there were differences in psychological well-being/discomfort, social functioning and coping, psychological distress, and negative alcohol-related consequences. Negative alcohol-related consequences were the only MHS indicator improving over time. For all of the remaining MHS indicators, we found a similar deterioration pattern in the course of time, with mean scores decreasing from the first to the 2nd week of the quarantine pre-extensions, then increasing toward the 1st week of the quarantine post-extension (with some MHS indicators reaching mean scores worse than the start), and then continued to increase. Conclusion: A worsened mean MHS during quarantine suggests that quarantine and its extensions contribute to negative mental health impacts.
Background: We aimed to: (1) analyze differences in both general (in terms of psychological well-being/discomfort, social functioning and coping, and psychological distress) and specific (depression, trait-anxiety, negative alcohol-related consequences, and suicidal risk) mental health state (MHS) in college students, residing in four different Argentinean regions (center, north, south, and the most populated) exposed to different spread-rates of the COVID-19; (2) analyze between-group differences in both general and specific MHS indicators at four quarantine sub-periods (twice prior, and twice following the first quarantine extension). Methods: We used a cross-sectional design with a convenience sample including 2,687 college students. Data was collected online during the Argentinean quarantine. We calculated one-way between-groups ANOVA with Tukey's post hoc test. Results: Regionally, the center and the most populated area differed in psychological well-being/discomfort and negative alcohol-related consequences, but not in the remaining MHS indicators. According to the quarantine sub-periods, there were differences in psychological well-being/discomfort, social functioning and coping, psychological distress, and negative alcohol-related consequences. Negative alcohol-related consequences were the only MHS indicator improving over time. For all of the remaining MHS indicators, we found a similar deterioration pattern in the course of time, with mean scores decreasing from the first to the 2nd week of the quarantine pre-extensions, then increasing toward the 1st week of the quarantine post-extension (with some MHS indicators reaching mean scores worse than the start), and then continued to increase. Conclusion: A worsened mean MHS during quarantine suggests that quarantine and its extensions contribute to negative mental health impacts.
Authors: Percy Herrera-Añazco; Diego Urrunaga-Pastor; Vicente A Benites-Zapata; Guido Bendezu-Quispe; Carlos J Toro-Huamanchumo; Adrian V Hernandez Journal: Front Psychiatry Date: 2022-03-17 Impact factor: 4.157
Authors: Daniel B LeGoff; Jacob Lazarovic; Miranda Kofeldt; Hiren Ghayal; Aimee Peters Journal: J Occup Environ Med Date: 2022-06-09 Impact factor: 2.306