Associated Factors with the Academic Use of Social Networks in Medical Students from 40 Cities in Latin America
Mario J. Valladares-Garrido, Raul Aveiro, Daniela Jiménez-Peña, Fiorella Ibañez Ugozzoli, Jaime Pineda Moreno, Juan Alcides Alvarez Cabrera, Leyla Huanca-Mamani, Danai Valladares-Garrido, Christian R. Mejia
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ABSTRACTAim: To identify the factors associated with the academic use of social networks in medical students from 40 faculties in Latin America.Methods: Analytical, cross-sectional analysis of secondary data in medical students from 40 Latin American cities. A self-administered questionnaire was used to evaluate the academic use of social networks and their association with socio-educational characteristics and training in scientific databases. Mixed effects multilevel generalized linear models (MEGLM) were used to estimate prevalence ratios (PR).Results: Of 11587 participants, 57.7% used social networks academically. The level of advanced English increased 1.33 times the prevalence of academic use of social networks (PR: 1.33, 95% CI: 1.24-1.43, p <0.001) while belonging to more than one academic-scientific extracurricular group decreased 34% said prevalence (PR: 0.66, 95% CI: 0.54-0.81, p <0.001). The training for SciELO and Google Scholar increased 18% (PR: 1.18, CI95%: 1.11-1.25, p <0.001) and 11% (PR: 1.11, CI95%: 1.05-1.18, p <0.001) the prevalence of use of social networks in an academic way, respectively. Conclusion: We can affirm that, more than half of the respondents use social networks in their medical training. Proceeding from seven out of eleven surveyed countries, reporting basic-advanced English level, being trained in SciELO and Google Scholar were positively associated with using social networks academically. On the contrary, coming from a private university, belonging to extracurricular groups and not being able to use Google Scholar was associated negatively.Keywords: social networks, medical student, research.
Aim: To identify the factors associated with the academic use of social networks in medical students from 40 faculties in Latin America.
Methods: Analytical, cross-sectional analysis of secondary data in medical students from 40 Latin American cities. A self-administered questionnaire was used to evaluate the academic use of social networks and their association with socio-educational characteristics and training in scientific databases. Mixed effects multilevel generalized linear models (MEGLM) were used to estimate prevalence ratios (PR).
Results: Of 11587 participants, 57.7% used social networks academically. The level of advanced English increased 1.33 times the prevalence of academic use of social networks (PR: 1.33, 95% CI: 1.24-1.43, p <0.001) while belonging to more than one academic-scientific extracurricular group decreased 34% said prevalence (PR: 0.66, 95% CI: 0.54-0.81, p <0.001). The training for SciELO and Google Scholar increased 18% (PR: 1.18, CI95%: 1.11-1.25, p <0.001) and 11% (PR: 1.11, CI95%: 1.05-1.18, p <0.001) the prevalence of use of social networks in an academic way, respectively. Conclusion: We can affirm that, more than half of the respondents use social networks in their medical training. Proceeding from seven out of eleven surveyed countries, reporting basic-advanced English level, being trained in SciELO and Google Scholar were positively associated with using social networks academically. On the contrary, coming from a private university, belonging to extracurricular groups and not being able to use Google Scholar was associated negatively.
Keywords: social networks, medical student, research.