Asociación entre años de estudio y síntomas depresivos y ansiosos durante los primeros meses de confinamiento por la pandemia COVID-19, en una muestra de estudiantes de medicina de una universidad privada en Lima, Perú / Association between study year and depressive and anxious symptoms during the first months of confinement due to COVID-19 pandemic in a sample of medical students from a private university in Lima, Peru

RESUMEN Objetivos : Determinar la relación entre años de estudio y síntomas depresivos y ansiosos durante los primeros meses de la pandemia por COVID-19, en una muestra de estudiantes de medicina de Lima, controlando en particular las covariables sexo y enfermedades médicas previas. Material y métodos : Se realizó una encuesta en línea, que recolectó información de 250 estudiantes de medicina incluyendo datos generales, historia médica previa, síntomas de depresión (PHQ-9) y de ansiedad (GAD-7). Los datos se manejaron mediante un análisis multivariado. Resultados : Se encontraron diferencias entre años de estudios y los valores combinados de PHQ-9 y GAD-7 (Lambda de Wilks = 0,86; p = 1,68 x 10-4; η2p = 0,08). La presencia de enfermedades médicas previas mostró diferencias significativas en relación a los valores combinados de PHQ-9 y GAD-7 (Lambda de Wilks = 0,94, p = 4,43 x 10-4, η2p = 0,06). Las muestras univariadas mostraron diferencias en años de estudios para PHQ-9 (F6,241 = 4,12, p = 0,001, η2p = 0,09) y GAD-7 (F6,241 = 2,81, p = 0,01, η2p = 0,07). El análisis post hoc mostró diferencias estadísticamente significativas en los primeros años de estudio. Conclusiones : Estos resultados sugieren que estudiantes de medicina de los primeros años muestran mayores niveles de síntomas depresivos y ansiosos que los participantes de años superiores. Asimismo, la ocurrencia de enfermedades médicas previas explica también los valores altos de depresión y ansiedad.

SUMMARY Objective : To determine the relationship between year levels of medical studies and depressive and anxious symptoms during the first months of the COVID-19 pandemic in a sample of medical students in Lima, controlling specifically the variables sex and presence of underlying medical conditions. Material and Methods : An online survey collected information from 250 medical students, covering general data, previous medical history and symptoms of depression (PHQ-9) and anxiety (GAD-7). Data were managed using multivariate analysis of covariance. Results : Differences were found between years of study and the combined values of PHQ-9 and GAD-7 (Wilks' Λ = 0.86; p = 1.68 x 10-4; η2p = 0.08). Underlying medical conditions also showed significant differences for the combined values of PHQ-9 and GAD-7 (Wilks' Λ = 0.94, p = 4.43 x 10-4, η2p = 0.06). The univariate test for year of study showed differences for PHQ-9 (F6.241 = 4.12, p = 0.001, η2p = 0.09) and GAD-7 (F6.241 = 2.81, p = 0.01, η2p = 0.07). The post hoc analysis showed statistically significant differences in the first years of study. Conclusions : These results suggest that medical students of the first years show higher levels of depression and anxiety symptoms than participants from more advanced years of the medical career. Likewise, the occurrence of previous medical conditions also explained high levels of depression and anxiety.

[Medical conditions, symptoms of anxiety, and depression during the COVID-19 pandemic in a population sample of Lima, Peru]. / Condiciones médicas, síntomas de ansiedad y depresión durante la pandemia por COVID-19 en una muestra poblacional de Lima, Perú.

Introduction: This study aims to determine differences between the number of underlying medical conditions, depression, and anxiety, when controlling for the covariates of age, sex, and completed education.Methods: Participants (n=484) indicated the number of medical conditions present during the survey, also including the PHQ-9 and GAD-7, to assess depression and anxiety, respectively.Results: Differences were found between groups of medical conditions and the combined values of PHQ-9 and GAD-7 after controlling for the covariates mentioned above (F4,954=5.78; Wilks' Λ=0.95; P<0.0005). The univariate tests showed differences for PHQ-9 (F2,478=8.70; P<0.0005) and GAD-7 (F2,478=11.16; P<0.0005) between the 3 groups. Finally, post-hoc analysis showed differences between participants with one medical condition and with no medical condition (PHQ-9: MD=1.82; 95%CI, 0.25-3.40; GAD-7: MD=1.73; 95%CI, 0.55-2.91), and between participants with more than one medical condition and participants with no medical condition (PHQ-9: MD=3.10; 95%CI, 1.11-5.10; GAD-7: MD=2.46; 95%CI, 0.97-3.95).Conclusions: Our results suggest that people who had a medical condition during the COVID-19 pandemic were more prone to developing severe symptoms of anxiety and depression.

Emotional Impact on Health Personnel, Medical Students, and General Population Samples During the COVID-19 Pandemic in Lima, Peru.

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.

Emotional Impact on Health Personnel, Medical Students, and General Population Samples During the COVID-19 Pandemic in Lima, Peru / Impacto emocional en personal de salud, estudiantes de Medicina y población general durante la pandemia de COVID-19 en Lima, Perú

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.

RESUMEN Introducción: El objetivo del estudio es comparar los efectos emocionales de la COVID-19 entre 3 grupos diferentes, a saber: personal de salud, estudiantes de Medicina y una muestra de la población general. Métodos: Se incluyó a 375 participantes en este estudio, de los que 125 eran estudiantes de Medicina (estudios preclínicos, 59; estudios clínicos, 66), 125 eran personal de salud (personal de primera línea contra la COVID-19, 59; personal no relacionado con la COVID-19, 66) y 125 pertenecían a la población general. Las escalas PHQ-9, GAD-7 y CPDI se utilizaron para evaluar el impacto emocional. Se realizó una regresión logística multinomial para medir las diferencias entre grupos, considerando posibles factores de confusión. Resultados: Con respecto a los valores del CPDI, todos los demás grupos mostraron valores reducidos en comparación con el personal de primera línea contra la COVID-19. Sin embargo, la población general y los estudiantes de Medicina preclínica y clínica mostraron un aumento de los valores del PHQ-9 en comparación con el personal en primera línea. Por último, los factores de confusión, sexo y edad se correlacionaron negativamente con puntuaciones más altas del CPDI y el PHQ-9. Conclusiones: Ser personal de primera línea se asocia con más estrés relacionado con la COVID-19. Sin embargo, la depresión está asociada con otros grupos que no están directamente involucrados en el tratamiento de los pacientes con COVID-19. Las mujeres y los participantes más jóvenes se correlacionaron con la depresión y el estrés relacionados con la COVID-19.

Emotional Impact on Health Personnel, Medical Students, and General Population Samples During the COVID-19 Pandemic in Lima, Peru.

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.

Introducción: El objetivo del estudio es comparar los efectos emocionales de la COVID-19 entre 3 grupos diferentes, a saber: personal de salud, estudiantes de Medicina y una muestra de la población general. Métodos: Se incluyó a 375 participantes en este estudio, de los que 125 eran estudiantes de Medicina (estudios preclínicos, 59; estudios clínicos, 66), 125 eran personal de salud (personal de primera línea contra la COVID-19, 59; personal no relacionado con la COVID-19, 66) y 125 pertenecían a la población general. Las escalas PHQ-9, GAD-7 y CPDI se utilizaron para evaluar el impacto emocional. Se realizó una regresión logística multinomial para medir las diferencias entre grupos, considerando posibles factores de confusión. Resultados: Con respecto a los valores del CPDI, todos los demás grupos mostraron valores reducidos en comparación con el personal de primera línea contra la COVID-19. Sin embargo, la población general y los estudiantes de Medicina preclínica y clínica mostraron un aumento de los valores del PHQ-9 en comparación con el personal en primera línea. Por último, los factores de confusión, sexo y edad se correlacionaron negativamente con puntuaciones más altas del CPDI y el PHQ-9. Conclusiones: Ser personal de primera línea se asocia con más estrés relacionado con la COVID-19. Sin embargo, la depresión está asociada con otros grupos que no están directamente involucrados en el tratamiento de los pacientes con COVID-19. Las mujeres y los participantes más jóvenes se correlacionaron con la depresión y el estrés relacionados con la COVID-19.