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RESUMEN Objetivos. Determinar la prevalencia de síntomas obsesivo-compulsivos entre estudiantes de medicina de Perú durante la pandemia por la COVID-19 y sus factores asociados. Materiales y métodos. Estudio de corte transversal en 270 estudiantes de medicina de una universidad pública peruana. Los participantes fueron reclutados mediante muestreo no probabilístico. Los síntomas obsesivo-compulsivos fueron evaluados con la Escala de Yale-Brown de Trastorno Obsesivo Compulsivo (Y-BOCS). Luego del análisis descriptivo, se empleó la regresión de Poisson con varianza robusta para determinar los factores asociados a Trastorno Obsesivo Compulsivo probable (TOC probable). Se calcularon las razones de prevalencia crudas (RPc) y ajustadas (RPa), junto con sus respectivos intervalos de confianza del 95% (IC 95%). Resultados. La prevalencia de síntomas obsesivo-compulsivos fue de 13,3% en estudiantes de medicina. Durante el análisis bivariado, los estudiantes con TOC probable eran más jóvenes (p=0,044) y tenían un nivel más bajo de conocimiento sobre COVID-19 (p=0,045). En el modelo crudo, se encontró una menor prevalencia de TOC probable entre aquellos con un nivel adecuado de conocimiento en comparación con aquellos con un nivel inadecuado (RPc: 0,52; IC del 95%: 0,28 a 0,98). Sin embargo, después de ajustar por otras variables, ninguna de las variables descritas fue estadísticamente significativa. Conclusiones. Uno de cada diez estudiantes de medicina presentó síntomas obsesivo-compulsivos clínicamente significativos. Implementar futuras intervenciones es crucial para preservar el bienestar mental de esta población vulnerable.
ABSTRACT Objectives. To determine the prevalence of obsessive-compulsive symptoms among medical students in Peru during the COVID-19 pandemic and its associated factors. Materials and methods. Cross-sectional study in 270 medical students from a Peruvian public university. Participants were recruited through non-probability sampling. Obsessive-compulsive symptoms were assessed with the Yale-Brown Obsessive Compulsive Disorder Scale (Y-BOCS). After the descriptive analysis, Poisson regression with robust variance was used to determine the factors associated with probable obsessive compulsive disorder (probable OCD). The crude (PRc) and adjusted (PRa) prevalence ratios were calculated, along with their respective 95% confidence intervals (95% CI). Results. The prevalence of obsessive-compulsive symptoms was 13.3% in medical students. During bivariate analysis, students with probable OCD were younger (p=0.044) and had a lower level of knowledge about COVID-19 (p=0.045). The crude model showed a lower prevalence of probable OCD among those with an adequate level of knowledge compared to those with an inadequate level (PR: 0.52, 95% CI: 0.28 to 0.98). However, after adjusting for other variables, none of the described variables were statistically significant. Conclusions. One in ten medical students presented clinically significant obsessive-compulsive symptoms. Implementing future interventions is crucial to preserve the mental well-being of this vulnerable population.
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PURPOSE: To assess health-related quality of life (HRQoL) and its associated factors in patients who survived COVID-19 and to assess a prospective evaluation of the prevalence and severity of their depression and anxiety symptoms. METHODS: We followed up a sample of hospitalized patients who survived COVID-19 at 3 and 12 months after discharge. We assessed HRQoL (Euroqol-5D-5L) through telephone interviews. Any problem in any dimension of Euroqol-5D-5L was considered as low HRQoL. The depression and anxiety symptoms were measured using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 tools, respectively. We estimated the adjusted prevalence ratios (aPR) to low HRQoL using Poisson regression and the changes on their depression and anxiety symptoms during the follow-up. RESULTS: We included 119 patients with a mean follow-up time of 363.6 days. 74% of the participants had low HRQoL at one year after hospital discharge and were associated with being ≥ 41 years old (aPR: 1.95), having a previous history of psychiatric diagnoses before COVID-19 infection (aPR: 1.47), having any COVID-19 symptom during the follow-up at one year (aPR: 1.84), and having a family member who had died from COVID-19 during the first wave (aPR: 1.24). In addition, the clinically relevant depression symptoms were frequent, and they increased from 3 (14.3%) to 12 months (18.5%). CONCLUSION: One year after COVID-19 hospitalization discharge, patients had low HRQoL, and their depression symptoms increased. These findings acknowledge the need to provide services that adequately address mental health sequels and HRQoL to reduce the burden of the COVID-19.
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COVID-19 , Calidad de Vida , Humanos , Adulto , Calidad de Vida/psicología , Depresión/psicología , Estudios de Seguimiento , Perú/epidemiología , COVID-19/epidemiología , Ansiedad/epidemiología , Ansiedad/psicología , Trastornos de Ansiedad/epidemiología , Encuestas y CuestionariosRESUMEN
Objectives: Education has totally changed in the context of the pandemic. Therefore, the objective of the present study was to evaluate the factors associated with the level of satisfaction with virtual education in Peruvian medical students during COVID-19. Methods: Analytical and cross-sectional study, based on an online survey of students nationwide. We use previously validated instruments to measure the level of satisfaction and stress (EPP-10-c) of students with virtual education. For the associated factors, adjusted prevalence ratios (PR) were estimated using Poisson regression. Results: Of the 1,878 students surveyed, the median age was 21 years, 57.8% (1,086) were women, 34.8% (654) had a high level of satisfaction with virtual education and 10.7% (202) presented high levels of stress. The factors associated with a low level of satisfaction were attending the fifth year of study, the partial and non-virtual adaptation of the university to virtual education, and a high level of stress. On the other hand, the factors associated with a high level of satisfaction were the education platform used and the study method used. Conclusion: Seven out of 10 students presented a low level of satisfaction with virtual education, 1 out of 10 presented a high level of stress. The factors associated with the low level of satisfaction were attending the fifth year of study, the non-virtual and partial adaptation of the university to virtual education, and the high level of stress.