Bibliographic citations
Arévalo, D., Kianman, A. (2021). Relación entre la presencia de síntomas de ansiedad social (medido con escala de SIAS) y la presencia de síntomas de dependencia al internet (medido con test de Young) en estudiantes de medicina de una niversidad privada en Lima [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/654722
Arévalo, D., Kianman, A. Relación entre la presencia de síntomas de ansiedad social (medido con escala de SIAS) y la presencia de síntomas de dependencia al internet (medido con test de Young) en estudiantes de medicina de una niversidad privada en Lima [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/654722
@misc{renati/393779,
title = "Relación entre la presencia de síntomas de ansiedad social (medido con escala de SIAS) y la presencia de síntomas de dependencia al internet (medido con test de Young) en estudiantes de medicina de una niversidad privada en Lima",
author = "Kianman Maceda, Antonella del Milagro",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
Introduction: There are only a few studies that have explored the association between symptoms of social anxiety and symptoms of excessive use of internet. Objetive: To determine the relationship between the presence of symptoms of social anxiety and symptoms of internet dependence in university students from the second to fifth year of the human medicine career in 2018 at a private university in Lima, Peru. Methods: An analytical cross-sectional study was conducted with a population of 600 medical students 18 years old or older from 2nd to 5th year at a private university in the year 2018 in Lima, Peru. The outcome (symptoms of excessive use of the Internet) was measured with Young's Internet Addiction Test and was classified in three categories: absence of symptoms, mild symptoms and moderate to severe symptoms, whilst the exposure (symptoms of social anxiety) was measured with SIAS scale and was categorized in two: presence or absence of symptoms. For multivariate analysis, the multinomial logistic regression model was employed; the crude OR as well as the adjusted OR were calculated and a confidence interval of 95% was used. Results: 57.6% of total students were women and median age for both genders was 21 years with an interquartile range of 20 to 22 years. It was found that 51.2% of participants had symptoms of excessive use of internet; 27.8% corresponded to mild symptoms and 23.4% to moderate to severe symptoms. 20.5% of the students had symptoms of social anxiety. We found a strong association between symptoms of social anxiety and the symptoms of excessive use of Internet (p<0.001). Discussion and Conclusions: Students with symptoms of social anxiety were more likely to have symptoms of excessive use of internet. Nevertheless, longitudinal studies are recommended in order to verify the persistence of the results over time.
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