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Sevilla, L., (2021). Adicción al internet asociado a alexitimia en estudiantes de Medicina [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/8304
Sevilla, L., Adicción al internet asociado a alexitimia en estudiantes de Medicina [Tesis]. PE: Universidad Privada Antenor Orrego; 2021. https://hdl.handle.net/20.500.12759/8304
@misc{renati/372653,
title = "Adicción al internet asociado a alexitimia en estudiantes de Medicina",
author = "Sevilla Cueva, Liliana del Carmen",
publisher = "Universidad Privada Antenor Orrego",
year = "2021"
}
Title: Adicción al internet asociado a alexitimia en estudiantes de Medicina
Authors(s): Sevilla Cueva, Liliana del Carmen
Advisor(s): Arcila Diaz, Jeniffer Karen
Keywords: Adicción del Internet; Alexitimia
OCDE field: http://purl.org/pe-repo/ocde/ford#5.05.00
Issue Date: 2021
Institution: Universidad Privada Antenor Orrego
Abstract: determinar si la adicción al internet está asociada a alexitimia en
estudiantes de medicina.
Material y Métodos: se diseñó un estudio observacional, transversal analítico,
en el cual se incluyó a 190 estudiantes de la Facultad de Medicina Humana de
la Universidad Privada Antenor Orrego a los cuales se les realizó una encuesta
virtual que incluyó preguntas de la escala de adicción a internet de Lima y la
escala de alexitimia de Toronto (TAS 20) junto con datos sociodemográficos y
de salud. El análisis estadístico se realizó utilizando el paquete estadístico SPSS
25.0, usando la prueba de Chi-cuadrado para determinar la significancia
estadística de asociación entre las variables de estudio, aceptándose una
diferencia estadística menor al 5% (p<0.05).
Resultados: el 42.4% de los estudiantes de medicina presentaron adicción al
internet y alexitimia, OR 6.3, p =0.0.
Conclusiones: la adicción al internet, se asoció significativamente a alexitimia
en estudiantes de medicina
to determine if internet addiction is associated with alexithymia in medical students. Material and Methods: an observational, cross-sectional analytical study has been designed, which will include 190 students of the Faculty of Human Medicine of the Antenor Orrego Private University, who will be conducted a virtual survey that will include questions from the Lima Internet Addiction Scale and the Toronto Alexithymia Scale (TAS 20) together with sociodemographic and health data. Statistical analysis was performed using the SPSS 25.0 statistical package, using the Chi-square test to determine the statistical significance of the association between the study variables, accepting a statistical difference of less than 5% (p <0.05). Results: 42.4% of the medical students presented internet addiction and alexithymia, OR 6.3, p = 0.0. Conclusions: internet addiction, it is significantly associated with alexithymia in medical students.
to determine if internet addiction is associated with alexithymia in medical students. Material and Methods: an observational, cross-sectional analytical study has been designed, which will include 190 students of the Faculty of Human Medicine of the Antenor Orrego Private University, who will be conducted a virtual survey that will include questions from the Lima Internet Addiction Scale and the Toronto Alexithymia Scale (TAS 20) together with sociodemographic and health data. Statistical analysis was performed using the SPSS 25.0 statistical package, using the Chi-square test to determine the statistical significance of the association between the study variables, accepting a statistical difference of less than 5% (p <0.05). Results: 42.4% of the medical students presented internet addiction and alexithymia, OR 6.3, p = 0.0. Conclusions: internet addiction, it is significantly associated with alexithymia in medical students.
Link to repository: https://hdl.handle.net/20.500.12759/8304
Discipline: Medicina
Grade or title grantor: Universidad Privada Antenor Orrego. Facultad de Medicina Humana
Grade or title: Medico Cirujano
Juror: Jara Pereda, Luz Milagros; Canchucaja Bonarriba, Lucia Victoria; Rodríguez García, Paola Alejandra
Register date: 27-Nov-2021
This item is licensed under a Creative Commons License