Bruno Pedraz-Petrozzi1, Hever Krüger-Malpartida2,3, Martin Arevalo-Flores2,3, Frine Salmavides-Cuba3,4, Victor Anculle-Arauco2, Mauricio Dancuart-Mendoza2. 1. Cognitive Neurosciences, Center for Psychiatry and Psychotherapy, Justus-Liebig University, Giessen, Hessen, Germany. 2. Department of Neuropsychiatry, Cayetano Heredia Hospital, San Martin de Porres, Lima, Peru. 3. Faculty of Medicine, Cayetano Heredia Peruvian University, San Martin de Porres, Lima, Peru. 4. Department of Tropical Medicine and Infectious Diseases, Cayetano Heredia Hospital, San Martin de Porres, Lima, Peru.
Abstract
BACKGROUND: The aim of the study is to compare the emotional effects of COVID-19 among three different groups, namely: health personnel, medical students, and a sample of the general population. METHODS: 375 participants were recruited for this study, of which 125 were medical students (preclinical studies, 59; clinical studies, 66), 125 were health personnel (COVID-19 frontline personnel, 59; personnel not related with COVID-19, 66), and 125 belonged to the general population. The PHQ-9, GAD-7, and CPDI scales were used to assess the emotional impact. A multinomial logistic regression was performed to measure differences between groups, considering potential confounding factors. RESULTS: Regarding CPDI values, all other groups showed reduced values compared to COVID-19 frontline personnel. However, the general population, preclinical and clinical medical students showed increased PHQ-9 values compared to COVID-19 frontline personnel. Finally, confounding factors, gender and age correlated negatively with higher CPDI and PHQ-9 scores. CONCLUSIONS: Being frontline personnel is associated with increased COVID-19-related stress. Depression is associated, however, with other groups not directly involved with the treatment of COVID-19 patients. Female gender and younger age correlated with COVID-19-related depression and stress.
BACKGROUND: The aim of the study is to compare the emotional effects of COVID-19 among three different groups, namely: health personnel, medical students, and a sample of the general population. METHODS: 375 participants were recruited for this study, of which 125 were medical students (preclinical studies, 59; clinical studies, 66), 125 were health personnel (COVID-19 frontline personnel, 59; personnel not related with COVID-19, 66), and 125 belonged to the general population. The PHQ-9, GAD-7, and CPDI scales were used to assess the emotional impact. A multinomial logistic regression was performed to measure differences between groups, considering potential confounding factors. RESULTS: Regarding CPDI values, all other groups showed reduced values compared to COVID-19 frontline personnel. However, the general population, preclinical and clinical medical students showed increased PHQ-9 values compared to COVID-19 frontline personnel. Finally, confounding factors, gender and age correlated negatively with higher CPDI and PHQ-9 scores. CONCLUSIONS: Being frontline personnel is associated with increased COVID-19-related stress. Depression is associated, however, with other groups not directly involved with the treatment of COVID-19 patients. Female gender and younger age correlated with COVID-19-related depression and stress.
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