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

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Jeri-Yabar, Antoine, Sanchez-Carbonel, Alejandra, Tito, Karen, Ramirez-delCastillo, Jimena, Torres-Alcantara, Alessandra, Denegri, Daniela, Carreazo, Nilton Yhuri
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/625046
Enlace del recurso:http://hdl.handle.net/10757/625046
Nivel de acceso:acceso embargado
Materia:Addictive behavior
Depression
Social network dependence
Social networking
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dc.title.en_US.fl_str_mv Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
title Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
spellingShingle Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
Jeri-Yabar, Antoine
Addictive behavior
Depression
Social network dependence
Social networking
title_short Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
title_full Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
title_fullStr Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
title_full_unstemmed Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
title_sort Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?
author Jeri-Yabar, Antoine
author_facet Jeri-Yabar, Antoine
Sanchez-Carbonel, Alejandra
Tito, Karen
Ramirez-delCastillo, Jimena
Torres-Alcantara, Alessandra
Denegri, Daniela
Carreazo, Nilton Yhuri
author_role author
author2 Sanchez-Carbonel, Alejandra
Tito, Karen
Ramirez-delCastillo, Jimena
Torres-Alcantara, Alessandra
Denegri, Daniela
Carreazo, Nilton Yhuri
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Jeri-Yabar, Antoine
Sanchez-Carbonel, Alejandra
Tito, Karen
Ramirez-delCastillo, Jimena
Torres-Alcantara, Alessandra
Denegri, Daniela
Carreazo, Nilton Yhuri
dc.subject.en_US.fl_str_mv Addictive behavior
Depression
Social network dependence
Social networking
topic Addictive behavior
Depression
Social network dependence
Social networking
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.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-02-09T20:03:18Z
dc.date.available.none.fl_str_mv 2019-02-09T20:03:18Z
dc.date.issued.fl_str_mv 2019-02
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 0020-7640
1741-2854
dc.identifier.doi.none.fl_str_mv 10.1177/0020764018814270
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/625046
dc.identifier.journal.en_US.fl_str_mv International Journal of Social Psychiatry
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 0020-7640
1741-2854
10.1177/0020764018814270
International Journal of Social Psychiatry
0000 0001 2196 144X
url http://hdl.handle.net/10757/625046
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv http://journals.sagepub.com/doi/10.1177/0020764018814270
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/pdf
dc.publisher.en_US.fl_str_mv SAGE Publications Ltd
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Academico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
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reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv International Journal of Social Psychiatry
dc.source.volume.none.fl_str_mv 65
dc.source.issue.none.fl_str_mv 1
dc.source.beginpage.none.fl_str_mv 14
dc.source.endpage.none.fl_str_mv 19
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spelling Jeri-Yabar, AntoineSanchez-Carbonel, AlejandraTito, KarenRamirez-delCastillo, JimenaTorres-Alcantara, AlessandraDenegri, DanielaCarreazo, Nilton Yhuri2019-02-09T20:03:18Z2019-02-09T20:03:18Z2019-020020-76401741-285410.1177/0020764018814270http://hdl.handle.net/10757/625046International Journal of Social Psychiatry0000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.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.Revisión por paresapplication/pdfengSAGE Publications Ltdhttp://journals.sagepub.com/doi/10.1177/0020764018814270info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPCInternational Journal of Social Psychiatry6511419reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCAddictive behaviorDepressionSocial network dependenceSocial networkingAssociation between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?info:eu-repo/semantics/article2019-02-09T20:03:18ZTHUMBNAIL10.1177 0020764018814270.pdf.jpg10.1177 0020764018814270.pdf.jpgGenerated Thumbnailimage/jpeg74899https://repositorioacademico.upc.edu.pe/bitstream/10757/625046/4/10.1177%200020764018814270.pdf.jpg0753fd2f9017c38ca96c0a1bb00f3bbaMD54falseTEXT10.1177 0020764018814270.pdf.txt10.1177 0020764018814270.pdf.txtExtracted texttext/plain2120https://repositorioacademico.upc.edu.pe/bitstream/10757/625046/3/10.1177%200020764018814270.pdf.txtcb57c9429d64dc960d981645386e23eaMD53falseLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/625046/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52falseORIGINAL10.1177 0020764018814270.pdf10.1177 0020764018814270.pdfapplication/pdf133780https://repositorioacademico.upc.edu.pe/bitstream/10757/625046/1/10.1177%200020764018814270.pdfd0e661a86cea354ff1f539bf94937e34MD51true10757/625046oai:repositorioacademico.upc.edu.pe:10757/6250462019-08-30 07:36:18.637Repositorio académico upcupc@openrepository.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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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