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      • Record: found
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      Linking Internet Communication and Smartphone Use Disorder by taking a closer look at the Facebook and WhatsApp applications.

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          Abstract

          Smartphones are ubiquitous in the digital society. Although this powerful device is useful because it supports and simplifies many tasks in everyday life, a growing number of researchers is concerned that smartphones might have detrimental effects on the human brain and related psychological processes. Evidence indicates that social media platforms such as WhatsApp and Facebook are essential drivers of smartphone usage. Thus, a critical, yet unexplored issue is how excessive use of those platforms is related to Smartphone Use Disorder (SUD). Furthermore, since the roles of life satisfaction and fear of missing out (FoMo) have been demonstrated to be of particular importance for Internet Use and Internet Communication Disorder, those constructs were examined in the context of SUD.

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          A cognitive-behavioral model of pathological Internet use

          R.A. Davis (2001)
          Article 0 comments Cited 672 times – based on 0 reviews     Review now
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            Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model.

            Matthias Brand, Kimberly Young, CHRISTIAN LAIER … (2016)
            Within the last two decades, many studies have addressed the clinical phenomenon of Internet-use disorders, with a particular focus on Internet-gaming disorder. Based on previous theoretical considerations and empirical findings, we suggest an Interaction of Person-Affect-Cognition-Execution (I-PACE) model of specific Internet-use disorders. The I-PACE model is a theoretical framework for the processes underlying the development and maintenance of an addictive use of certain Internet applications or sites promoting gaming, gambling, pornography viewing, shopping, or communication. The model is composed as a process model. Specific Internet-use disorders are considered to be the consequence of interactions between predisposing factors, such as neurobiological and psychological constitutions, moderators, such as coping styles and Internet-related cognitive biases, and mediators, such as affective and cognitive responses to situational triggers in combination with reduced executive functioning. Conditioning processes may strengthen these associations within an addiction process. Although the hypotheses regarding the mechanisms underlying the development and maintenance of specific Internet-use disorders, summarized in the I-PACE model, must be further tested empirically, implications for treatment interventions are suggested.
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              The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents

              Min Jo Kwon, Dai-Jin Kim, Joo Hyun Cho … (2013)
              Objective This study was designed to investigate the revised and short version of the smartphone addiction scale and the proof of its validity in adolescents. In addition, it suggested cutting off the values by gender in order to determine smartphone addiction and elaborate the characteristics of smartphone usage in adolescents. Method A set of questionnaires were provided to a total of 540 selected participants from April to May of 2013. The participants consisted of 343 boys and 197 girls, and their average age was 14.5 years old. The content validity was performed on a selection of shortened items, while an internal-consistency test was conducted for the verification of its reliability. The concurrent validity was confirmed using SAS, SAPS and KS-scale. Receiver operating characteristics analysis was conducted to suggest cut-off. Results The 10 final questions were selected using content validity. The internal consistency and concurrent validity of SAS were verified with a Cronbach's alpha of 0.911. The SAS-SV was significantly correlated with the SAS, SAPS and KS-scale. The SAS-SV scores of gender (p<.001) and self-evaluation of smartphone addiction (p<.001) showed significant difference. The ROC analysis results showed an area under a curve (AUC) value of 0.963(0.888–1.000), a cut-off value of 31, sensitivity value of 0.867 and specificity value of 0.893 in boys while an AUC value of 0.947(0.887–1.000), a cut-off value of 33, sensitivity value of 0.875, and a specificity value of 0.886 in girls. Conclusions The SAS-SV showed good reliability and validity for the assessment of smartphone addiction. The smartphone addiction scale short version, which was developed and validated in this study, could be used efficiently for the evaluation of smartphone addiction in community and research areas.
              Article 0 comments Cited 468 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (iso-abbrev): Addict Behav Rep
                Title: Addictive behaviors reports
                Publisher: Elsevier BV
                ISSN (Electronic): 2352-8532
                ISSN (Print): 2352-8532
                Publication date (Electronic): Jun 2019
                Volume: 9
                Affiliations
                [1 ] School of Journalism and Communication, Southwest University, Chongqing 400716, China.
                [2 ] Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.
                [3 ] School of Management, Digital Business Management, University of Applied Sciences Upper Austria, Steyr, Austria.
                [4 ] Department of Business Informatics-Information Engineering, Johannes Kepler University, Linz, Austria.
                [5 ] The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
                Article
                Publisher Item ID: S2352-8532(18)30156-1 Publisher Item ID: 100148
                DOI: 10.1016/j.abrep.2018.100148
                PMC ID: 6543448
                PubMed ID: 31193857
                SO-VID: 07f4f8b0-7815-4bda-994b-6357ad28b362
                History

                Keywords: Facebook,FoMo,Internet Communication Disorder,Life satisfaction,Smartphone Use Disorder,WhatsApp
                Data availability:
                Keywords: Facebook, FoMo, Internet Communication Disorder, Life satisfaction, Smartphone Use Disorder, WhatsApp

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