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Associations Between Online Addiction Attachment Style, Emotion Regulation Depression and Anxiety in General Population Testing the Proposed Diagnostic Criteria for Internet Addiction

dc.authorscopusid 57204353142
dc.authorscopusid 24461033100
dc.authorscopusid 55694113600
dc.contributor.author Ceyhan, E.
dc.contributor.author Boysan, M.
dc.contributor.author Kadak, M.T.
dc.date.accessioned 2025-05-10T17:01:39Z
dc.date.available 2025-05-10T17:01:39Z
dc.date.issued 2019
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp Ceyhan E., Sason Vocational College, Batman University, Batman, Turkey; Boysan M., Department of Psychology, Faculty of Social Sciences, Van Yuzuncu Yil University, Van, 65100, Turkey; Kadak M.T., Department of Child and Adolescent Psychiatry, Cerrahpasa Faculty of Medicine, Istanbul University, Turkey en_US
dc.description.abstract The focus of this study was twofold. The first aim of the study was to investigate psychometric properties of the Turkish version of the Chen Internet Addiction Scale (CIAS). Second, we explored the relations between Internet Addiction, Attachment Style Emotion Regulation, Depression and Anxiety among college students. A total of 754 college students participated in the study. The CIAS, Young Internet Addiction Test (YIAT), Experiences in Close Relationship-Revised (ECR-R), Difficulties in Emotional Regulation Scale (DERS), Center for Epidemiological Studies Depression Scale (CES-D), Beck Anxiety Inventory (BAI), and WHO Disability Assessment Schedule 2.0 (WHODAS 2.0) were administered in the study. The CIAS was subjected to confirmatory factor analysis. The associations between Internet addiction, attachment styles, difficulty in emotion regulation, anxiety and depression were evaluated using one-way analysis of variance and logistic regression analysis. The signal detection analysis showed that a cut value of 64 for the CIAS, with diagnostic accuracy of 97.1% and a cut value of 40 for the YIAT, with diagnostic accuracy of 86.9% were evaluated to be best diagnostic cutoff points. Considering univariate relationships between variables of interest, fearful and preoccupied attachment were significantly associated with pathological Internet use. Logistic regression analyses demonstrated that being male, difficulties in emotional regulation, anxiety and depression statistically significantly contributed to the risk for development of Internet addiction. Internet addiction as indexed by the CIAS cutoff is a highly debilitating mental disorder. © 2019 Kure Iletisim Grubu A.S. All rights reserved. en_US
dc.identifier.doi 10.5350/Sleep.Hypn.2019.21.0181
dc.identifier.endpage 139 en_US
dc.identifier.issn 1302-1192
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-85055266060
dc.identifier.scopusquality N/A
dc.identifier.startpage 123 en_US
dc.identifier.uri https://doi.org/10.5350/Sleep.Hypn.2019.21.0181
dc.identifier.uri https://hdl.handle.net/20.500.14720/5244
dc.identifier.volume 21 en_US
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Kure Iletisim Grubu A.S. en_US
dc.relation.ispartof Sleep and Hypnosis en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Addictive Behaviours en_US
dc.subject Affect Regulation en_US
dc.subject Assessment en_US
dc.subject Behavioral Addiction en_US
dc.subject Confirmatory Factor Analysis en_US
dc.subject Diagnostic Accuracy en_US
dc.subject Psychopathology en_US
dc.title Associations Between Online Addiction Attachment Style, Emotion Regulation Depression and Anxiety in General Population Testing the Proposed Diagnostic Criteria for Internet Addiction en_US
dc.type Article en_US

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