Personality beliefs as a predictor of smartphone addiction
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Archives of Clinical Psychiatry |
Texto Completo: | https://www.revistas.usp.br/acp/article/view/162187 |
Resumo: | Objective: The purpose of this study is to determine the relation between smart phone addiction and personality beliefs of university students. Methods: A total of 1007 students, 637 females (63.3%) and 370 males (36.7%) participated in the study. “Smart phone addiction scale short form” was used to measure smart phone addiction and “personality beliefs scale” was used to identify personality beliefs. Results: According to the performed multiple regression analysis, it was found out that dependent, antisocial, narcissist, histrionic, borderline, paranoid personality, schizoid personality, obsessive compulsive personality, passive-aggressive personality and avoidant personality beliefs predicted smart phone addiction at significant level (R = 0.38, R2 = 0.15, p < 0.001). The mentioned variables explain 15% of the variance. An examination of the t-test shows that dependent personality (t = 5.585, p < 0.001), passive-aggressive personality (t = -4.485, p < .001) and paranoid personality (t = 2.901, p < .01) belief among the mentioned variables are a significant predictor of smart phone addiction. Discussion: The obtained results show that dependent, passive-aggressive and paranoid personality beliefs are a significant predictor of smart phone addiction. Research findings are discussed in the light of relevant literature. |
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Archives of Clinical Psychiatry |
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Personality beliefs as a predictor of smartphone addictionSmart phone addictioncognitionpersonality beliefsuniversity studentsObjective: The purpose of this study is to determine the relation between smart phone addiction and personality beliefs of university students. Methods: A total of 1007 students, 637 females (63.3%) and 370 males (36.7%) participated in the study. “Smart phone addiction scale short form” was used to measure smart phone addiction and “personality beliefs scale” was used to identify personality beliefs. Results: According to the performed multiple regression analysis, it was found out that dependent, antisocial, narcissist, histrionic, borderline, paranoid personality, schizoid personality, obsessive compulsive personality, passive-aggressive personality and avoidant personality beliefs predicted smart phone addiction at significant level (R = 0.38, R2 = 0.15, p < 0.001). The mentioned variables explain 15% of the variance. An examination of the t-test shows that dependent personality (t = 5.585, p < 0.001), passive-aggressive personality (t = -4.485, p < .001) and paranoid personality (t = 2.901, p < .01) belief among the mentioned variables are a significant predictor of smart phone addiction. Discussion: The obtained results show that dependent, passive-aggressive and paranoid personality beliefs are a significant predictor of smart phone addiction. Research findings are discussed in the light of relevant literature.Universidade de São Paulo. Faculdade de Medicina. Instituto de Psiquiatria2019-09-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/acp/article/view/16218710.1590/0101-60830000000195Archives of Clinical Psychiatry; v. 46 n. 3 (2019); 61-65Archives of Clinical Psychiatry; Vol. 46 No. 3 (2019); 61-65Revista de Psiquiatria Clínica; Vol. 46 Núm. 3 (2019); 61-651806-938X0101-6083reponame:Archives of Clinical Psychiatryinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/acp/article/view/162187/156036Direktör, CemaliyeNuri, Cahitinfo:eu-repo/semantics/openAccess2019-09-12T12:30:33Zoai:revistas.usp.br:article/162187Revistahttp://www.hcnet.usp.br/ipq/revista/index.htmlPUBhttps://old.scielo.br/oai/scielo-oai.php||archives@usp.br1806-938X0101-6083opendoar:2019-09-12T12:30:33Archives of Clinical Psychiatry - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Personality beliefs as a predictor of smartphone addiction |
title |
Personality beliefs as a predictor of smartphone addiction |
spellingShingle |
Personality beliefs as a predictor of smartphone addiction Direktör, Cemaliye Smart phone addiction cognition personality beliefs university students |
title_short |
Personality beliefs as a predictor of smartphone addiction |
title_full |
Personality beliefs as a predictor of smartphone addiction |
title_fullStr |
Personality beliefs as a predictor of smartphone addiction |
title_full_unstemmed |
Personality beliefs as a predictor of smartphone addiction |
title_sort |
Personality beliefs as a predictor of smartphone addiction |
author |
Direktör, Cemaliye |
author_facet |
Direktör, Cemaliye Nuri, Cahit |
author_role |
author |
author2 |
Nuri, Cahit |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Direktör, Cemaliye Nuri, Cahit |
dc.subject.por.fl_str_mv |
Smart phone addiction cognition personality beliefs university students |
topic |
Smart phone addiction cognition personality beliefs university students |
description |
Objective: The purpose of this study is to determine the relation between smart phone addiction and personality beliefs of university students. Methods: A total of 1007 students, 637 females (63.3%) and 370 males (36.7%) participated in the study. “Smart phone addiction scale short form” was used to measure smart phone addiction and “personality beliefs scale” was used to identify personality beliefs. Results: According to the performed multiple regression analysis, it was found out that dependent, antisocial, narcissist, histrionic, borderline, paranoid personality, schizoid personality, obsessive compulsive personality, passive-aggressive personality and avoidant personality beliefs predicted smart phone addiction at significant level (R = 0.38, R2 = 0.15, p < 0.001). The mentioned variables explain 15% of the variance. An examination of the t-test shows that dependent personality (t = 5.585, p < 0.001), passive-aggressive personality (t = -4.485, p < .001) and paranoid personality (t = 2.901, p < .01) belief among the mentioned variables are a significant predictor of smart phone addiction. Discussion: The obtained results show that dependent, passive-aggressive and paranoid personality beliefs are a significant predictor of smart phone addiction. Research findings are discussed in the light of relevant literature. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-12 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/acp/article/view/162187 10.1590/0101-60830000000195 |
url |
https://www.revistas.usp.br/acp/article/view/162187 |
identifier_str_mv |
10.1590/0101-60830000000195 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/acp/article/view/162187/156036 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Medicina. Instituto de Psiquiatria |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Medicina. Instituto de Psiquiatria |
dc.source.none.fl_str_mv |
Archives of Clinical Psychiatry; v. 46 n. 3 (2019); 61-65 Archives of Clinical Psychiatry; Vol. 46 No. 3 (2019); 61-65 Revista de Psiquiatria Clínica; Vol. 46 Núm. 3 (2019); 61-65 1806-938X 0101-6083 reponame:Archives of Clinical Psychiatry instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Archives of Clinical Psychiatry |
collection |
Archives of Clinical Psychiatry |
repository.name.fl_str_mv |
Archives of Clinical Psychiatry - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||archives@usp.br |
_version_ |
1800237624289394688 |