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Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?

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Authors
Jeri-Yabar, Antoine
Sanchez-Carbonel, Alejandra
Tito, Karen
Ramirez-delCastillo, Jimena
Torres-Alcantara, Alessandra
Denegri, Daniela
Carreazo, Nilton Yhuri
Issue Date
2019-02
Keywords
Addictive behavior
Depression
Social network dependence
Social networking

Metadata
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Publisher
SAGE Publications Ltd
Journal
International Journal of Social Psychiatry
URI
http://hdl.handle.net/10757/625046
DOI
10.1177/0020764018814270
Additional Links
http://journals.sagepub.com/doi/10.1177/0020764018814270
Abstract
Background: The purpose of this study was to determine the association between social media dependence and depressive symptoms and also, to characterize the level of dependence. It was a transversal, analytical research. Subjects and Methods: The stratified sample was 212 students from a private university that used Facebook, Instagram and/or Twitter. To measure depressive symptoms, Beck Depression Inventory was used, and to measure the dependence to social media, the Social Media Addiction Test was used, adapted from the Internet Addiction Test of Echeburúa. The collected data were subjected for analysis by descriptive statistics where STATA12 was used. Results: The results show that there is an association between social media dependence and depressive symptoms (PR [Prevalence Ratio] = 2.87, CI [Confidence Interval] 2.03–4.07). It was also shown that preferring the use of Twitter (PR = 1.84, CI 1.21–2.82) over Instagram (PR = 1.61, CI 1.13–2.28) is associated with depressive symptoms when compared to the use of Facebook. Conclusion: Excessive social media use is associated with depressive symptoms in university students, being more prominent in those who prefer the use of Twitter over Facebook and Instagram.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/embargoedAccess
Language
eng
Description
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ISSN
0020-7640
1741-2854
ae974a485f413a2113503eed53cd6c53
10.1177/0020764018814270
Scopus Count
Collections
Medicina

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