RESUMEN
Background: Resilience can mitigate the negative impact produced by the COVID-19 pandemic. Medical students endure significant academic stress, so adjusting to sudden changes can present greater mental health challenges. The aim is to identify the level and prevalence of resilience and to know what are the educational variables and is sleep quality associated with resilience. Methods: A cross-sectional study was conducted using an online questionnaire. The survey was elaborated in Google Forms and shared through social networks. The outcome was resilience, measured with the Connor Davidson Resilience Scale. Its association was assessed with sleep quality (measured with the Pittsburgh Sleep Quality Index), daytime sleepiness (measured with the Epworth Sleepiness Scale), and selected academic/sociodemographic variables. Generalized linear models were used to identify the association between the variables. Results: Of 1277 participants, 35.7% experienced high resilience. Poor sleep quality and sleepiness were present in 88.4% and 36.0% of students, respectively. High resilience was associated with good sleep quality (PR:1.56; 95%CI: 1.34 - 1.83; p-value<0.001), absent sleepiness (PR:1.59; 95%CI: 1.32-1.91; p-value<0.001), male sex (PR: 1.21; 95%CI: 1.05-1.39; p-value 0.006), working (PR:1.14), having family responsibilities (PR: 1.36; 95%CI: 1.09-1.70; p-value 0.005) and spending more than 6 hours studying (PR: 1.35; 95%CI: 1.17-1.54; p-value<0.001). Conclusion: 4 out of 10 students presented high levels of resilience. The development of resilience depended on multiple individual and sociodemographic factors. These findings are important to support universities in developing resilience-building measures and strategies that can be implemented to mitigate the adverse pandemic event.
RESUMEN
El uso de fuentes de información es importante en la formación del estudiante de medicina; sin embargo, en Latinoamérica se ha reportado una disminución en su empleo y se han identificado problemas en su conocimiento. El objetivo del estudio consistió en determinar los factores asociados al uso de las fuentes de información en estudiantes de Medicina de una universidad de Tacna, Perú. Se realizó un estudio observacional, analítico y transversal en estudiantes de una universidad privada, mediante un muestreo aleatorio estratificado. Se utilizó un instrumento autoaplicado de forma virtual, que indagó en las características socioeducativas, la frecuencia de uso/capacitación de las fuentes de información y las características de la investigación científica. El resultado del estudio indicó un mayor uso de las fuentes de información, asociado con las variables independientes, mediante los modelos de regresión múltiple. De 274 estudiantes, el 32,1 por ciento utilizó frecuentemente las fuentes de información. Las de mayor uso fueron: Google Académico (36,5 por ciento) y SciELO (25,2 por ciento); en contraste, la mayoría de los estudiantes desconocen las fuentes: HINARI (56,2 por ciento) y EMBASE (55,5 por ciento). Desempeñarse en un año académico superior y tener más percepción de las habilidades en la búsqueda de información científica, constituyen los factores asociados a un mayor uso de las fuentes de información(AU)
The use of information sources is important in the training of the medical student; however, in Latin America a decrease in its use has been reported and problems have been identified in its knowledge. The objective of the study was to determine the factors associated with the use of information sources in medical students at a university in Tacna, Peru. An observational, analytical and cross-sectional study was carried out in students of a private university, using a stratified random sampling. A virtual self-applied instrument was used, which inquired into the socio-educational characteristics, the frequency of use/training of the information sources and the characteristics of scientific research. The result of the study indicated greater use of information sources, associated with the independent variables, through multiple regression models. Out of 274 students, 32.1percent frequently used information sources. The most used were: Google Scholar (36.5percent) and SciELO (25.2percent); in contrast, most students are unaware of the sources: HINARI (56.2percent) and EMBASE (55.5percent). In conclusion, performing in a higher academic year and having more perception of the skills in the search for scientific information are the factors associated with greater use of information sources(AU)