Síntomas Depresivos en Estudiantes Universitarios y su Relación con el Uso Adictivo a las Redes Sociales
Loading...
Share
Date
2023-11-24
relationships.isDirectorOf
relationships.isPublisherOf
Universidad Antonio Nariño
relationships.isCampusOf
relationships.isFacultyOf
relationships.isProgramOf
relationships.isDegreeOf
item.page.type-local
item.page.type-coar
Citation
Bibliographic Managers
item.page.resume
En el desarrollo del presente trabajo de investigación se han trazado objetivos tanto general
como específicos, para lograr determinar la relación en los síntomas depresivos y el uso adictivo a
redes sociales en una muestra de estudiantes universitarios pertenecientes a la universidad de la
Guajira sede Maicao. Referente a la metodología, fue de enfoque cuantitativo, de diseño no
experimental con alcance correlacional de corte transversal, además, se utilizaron programas como
EXCEL, JASP Y SPSS para el tratamiento y análisis de datos. La población fue delimitada
mediante un muestreo aleatorio simple, obteniendo una muestra de 99 estudiantes universitarios de
la sede antes mencionada.
Abstract
In the development of this research work, both general and specific objectives have been
outlined to determine the relationship between depressive symptoms and the addictive use of social
networks in a sample of university students belonging to the University of La Guajira, Maicao
campus. Regarding the methodology, it was a quantitative approach, non-experimental design with
cross-sectional correlational scope, in addition, programs such as EXCEL, JASP and SPSS were
used for data treatment and analysis. The population was delimited through simple random
sampling, obtaining a sample of 99 university students from the aforementioned headquarters. The
psychometric instruments used were the Beck Depression Inventory (BDI-II) and the Social Media
Addiction Questionnaire (ARS). The general result was achieved using Spearman's Rho
statistician, obtaining a p<.01 and a correlation coefficient of 0.308, in addition to an ordinal
regression analysis of p<.01 and a β= 0.824. Therefore, it was concluded that there is a low positive
correlation between both variables in the population of the University of La Guajira, Maicao
headquarters, and also that depression is a statistically significant predictor of social network
addiction