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Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms

Are Twitter users at higher risk

Bibliographic Data

ID19274259
AuthorsAntoine Jeri-Yabar (School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Perú), Alejandra Sanchez-Carbonel (School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Perú), Karen Tito (School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Perú), Jimena Ramirez-delCastillo (School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Perú), Alessandra Torres-Alcantara (School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Perú), Daniela Denegri (School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Perú), Nilton Yhuri Carreazo (0000-0002-5269-4855, School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Perú, corresponding author)
Year2019
Volume65
Issue1
Pages14-19
Publication date2019-02-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Social Psychiatry (JOURNAL)
Journal identifiersISSN: 0020-7640 • E-ISSN: 1741-2854
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0020764018814270
PMID30497315
OpenAlexW2902077214
LanguageEN
Citations received18
References cited16

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

Addiction · Association (psychology) · Confidence interval · Depression (economics) · Descriptive statistics · Psychiatry · Social media · Statistics · World Wide Web · Clinical Psychology · Communication and COVID-19 Impact · Impact of Technology on Adolescents · Internal Medicine · Medicine · Psychology · Social Skills and Education

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Citations per year3.6
Citation span2021 - 2025 (5)
Highly citedNo

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