DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Y | - |
dc.contributor.author | Jeong, JE | - |
dc.contributor.author | Cho, H | - |
dc.contributor.author | Jung, DJ | - |
dc.contributor.author | Kwak, M | - |
dc.contributor.author | Rho, MJ | - |
dc.contributor.author | Yu, H | - |
dc.contributor.author | Kim, DJ | - |
dc.contributor.author | Choi, IY | - |
dc.date.accessioned | 2017-07-19T13:30:11Z | - |
dc.date.available | 2017-07-19T13:30:11Z | - |
dc.date.created | 2017-02-07 | - |
dc.date.issued | 2016-08-17 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/37109 | - |
dc.description.abstract | The purpose of this study was to identify personality factor-associated predictors of smartphone addiction predisposition (SAP). Participants were 2,573 men and 2,281 women (n = 4,854) aged 20-49 years (Mean +/- SD: 33.47 +/- 7.52); participants completed the following questionnaires: the Korean Smartphone Addiction Proneness Scale (K-SAPS) for adults, the Behavioral Inhibition System/Behavioral Activation System questionnaire (BIS/BAS), the Dickman Dysfunctional Impulsivity Instrument (DDII), and the Brief Self-Control Scale (BSCS). In addition, participants reported their demographic information and smartphone usage pattern (weekday or weekend average usage hours and main use). We analyzed the data in three steps: (1) identifying predictors with logistic regression, (2) deriving causal relationships between SAP and its predictors using a Bayesian belief network (BN), and (3) computing optimal cut-off points for the identified predictors using the Youden index. Identified predictors of SAP were as follows: gender (female), weekend average usage hours, and scores on BAS-Drive, BAS-Reward Responsiveness, DDII, and BSCS. Female gender and scores on BAS-Drive and BSCS directly increased SAP. BAS-Reward Responsiveness and DDII indirectly increased SAP. We found that SAP was defined with maximal sensitivity as follows: weekend average usage hours > 4.45, BAS-Drive > 10.0, BAS-Reward Responsiveness > 13.8, DDII > 4.5, and BSCS > 37.4. This study raises the possibility that personality factors contribute to SAP. And, we calculated cut-off points for key predictors. These findings may assist clinicians screening for SAP using cut-off points, and further the understanding of SA risk factors. | - |
dc.language | English | - |
dc.publisher | Public Library of Science | - |
dc.relation.isPartOf | PLoS ONE | - |
dc.title | Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-control | - |
dc.type | Article | - |
dc.identifier.doi | 10.1371/JOURNAL.PONE.0159788 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PLoS ONE, v.11, no.8 | - |
dc.identifier.wosid | 000381487600013 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.number | 8 | - |
dc.citation.title | PLoS ONE | - |
dc.citation.volume | 11 | - |
dc.contributor.affiliatedAuthor | Yu, H | - |
dc.identifier.scopusid | 2-s2.0-84984821879 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 14 | - |
dc.description.scptc | 13 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.description.isOpenAccess | Y | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | CELLULAR PHONE USE | - |
dc.subject.keywordPlus | COLLEGE-STUDENTS | - |
dc.subject.keywordPlus | INTERNET ADDICTION | - |
dc.subject.keywordPlus | SENSATION SEEKING | - |
dc.subject.keywordPlus | SOCIAL NETWORKING | - |
dc.subject.keywordPlus | YOUDEN INDEX | - |
dc.subject.keywordPlus | ASSOCIATION | - |
dc.subject.keywordPlus | BIS/BAS | - |
dc.subject.keywordPlus | BAS | - |
dc.subject.keywordPlus | DIMENSIONS | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.