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      Proposed Diagnostic Criteria for Smartphone Addiction

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          Abstract

          Background

          Global smartphone penetration has led to unprecedented addictive behaviors. The aims of this study are to develop diagnostic criteria of smartphone addiction and to examine the discriminative ability and the validity of the diagnostic criteria.

          Methods

          We developed twelve candidate criteria for characteristic symptoms of smartphone addiction and four criteria for functional impairment caused by excessive smartphone use. The participants consisted of 281 college students. Each participant was systematically assessed for smartphone-using behaviors by psychiatrist’s structured diagnostic interview. The sensitivity, specificity, and diagnostic accuracy of the candidate symptom criteria were analyzed with reference to the psychiatrists’ clinical global impression. The optimal model selection with its cutoff point of the diagnostic criteria differentiating the smartphone addicted subjects from non-addicted subjects was then determined by the best diagnostic accuracy.

          Results

          Six symptom criteria model with optimal cutoff point were determined based on the maximal diagnostic accuracy. The proposed smartphone addiction diagnostic criteria consisted of (1) six symptom criteria, (2) four functional impairment criteria and (3) exclusion criteria. Setting three symptom criteria as the cutoff point resulted in the highest diagnostic accuracy (84.3%), while the sensitivity and specificity were 79.4% and 87.5%, respectively. We suggested determining the functional impairment by two or more of the four domains considering the high accessibility and penetration of smartphone use.

          Conclusion

          The diagnostic criteria of smartphone addiction demonstrated the core symptoms “impaired control” paralleled with substance related and addictive disorders. The functional impairment involved multiple domains provide a strict standard for clinical assessment.

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          Most cited references19

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          Development and Validation of a Smartphone Addiction Scale (SAS)

          Objective The aim of this study was to develop a self-diagnostic scale that could distinguish smartphone addicts based on the Korean self-diagnostic program for Internet addiction (K-scale) and the smartphone's own features. In addition, the reliability and validity of the smartphone addiction scale (SAS) was demonstrated. Methods A total of 197 participants were selected from Nov. 2011 to Jan. 2012 to accomplish a set of questionnaires, including SAS, K-scale, modified Kimberly Young Internet addiction test (Y-scale), visual analogue scale (VAS), and substance dependence and abuse diagnosis of DSM-IV. There were 64 males and 133 females, with ages ranging from 18 to 53 years (M = 26.06; SD = 5.96). Factor analysis, internal-consistency test, t-test, ANOVA, and correlation analysis were conducted to verify the reliability and validity of SAS. Results Based on the factor analysis results, the subscale “disturbance of reality testing” was removed, and six factors were left. The internal consistency and concurrent validity of SAS were verified (Cronbach's alpha = 0.967). SAS and its subscales were significantly correlated with K-scale and Y-scale. The VAS of each factor also showed a significant correlation with each subscale. In addition, differences were found in the job (p<0.05), education (p<0.05), and self-reported smartphone addiction scores (p<0.001) in SAS. Conclusions This study developed the first scale of the smartphone addiction aspect of the diagnostic manual. This scale was proven to be relatively reliable and valid.
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            An international consensus for assessing internet gaming disorder using the new DSM-5 approach.

            For the first time, the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) introduces non-substance addictions as psychiatric diagnoses. The aims of this paper are to (i) present the main controversies surrounding the decision to include internet gaming disorder, but not internet addiction more globally, as a non-substance addiction in the research appendix of the DSM-5, and (ii) discuss the meaning behind the DSM-5 criteria for internet gaming disorder. The paper also proposes a common method for assessing internet gaming disorder. Although the need for common diagnostic criteria is not debated, the existence of multiple instruments reflect the divergence of opinions in the field regarding how best to diagnose this condition. We convened international experts from European, North and South American, Asian and Australasian countries to discuss and achieve consensus about assessing internet gaming disorder as defined within DSM-5. We describe the intended meaning behind each of the nine DSM-5 criteria for internet gaming disorder and present a single item that best reflects each criterion, translated into the 10 main languages of countries in which research on this condition has been conducted. Using results from this cross-cultural collaboration, we outline important research directions for understanding and assessing internet gaming disorder. As this field moves forward, it is critical that researchers and clinicians around the world begin to apply a common methodology; this report is the first to achieve an international consensus related to the assessment of internet gaming disorder. © 2014 Society for the Study of Addiction.
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              Issues for DSM-V: internet addiction.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 November 2016
                2016
                : 11
                : 11
                : e0163010
                Affiliations
                [1 ]Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
                [2 ]Department of Psychiatry, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
                [3 ]Division of New Drugs, Center for Drug Evaluation, Taiwan
                [4 ]Department of Psychiatry, Koo Foundation Sun Yat-Sen Cancer Center, New Taipei City, Taiwan
                [5 ]Department of Psychiatry, National Taiwan University, College of Medicine, Taipei, Taiwan
                [6 ]Department of Psychiatry, Kaohsiung Medical University, Kaohsiung, Taiwan
                [7 ]Department of Psychiatry, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung, Taiwan
                [8 ]Department and Graduate School of Electrical Engineering, Tamkang University Hospital, New Taipei City, Taiwan
                [9 ]Department of Biostatistics, Columbia Mailman School of Public Health, New York, New York, United States of America
                Ariel University, ISRAEL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: Y.H. Lin.

                • Formal analysis: Y.H. Lin SHL.

                • Investigation: CLC PHL LRC.

                • Methodology: Y.H. Lin CHK SHL.

                • Resources: Y.H. Lee.

                • Writing – original draft: Y.H. Lin.

                • Writing – review & editing: Y.H. Lin CHK SHL.

                Author information
                http://orcid.org/0000-0003-0714-2354
                Article
                PONE-D-16-13518
                10.1371/journal.pone.0163010
                5112893
                27846211
                b45ec6cf-bb8c-462d-8eaa-343b8204a716
                © 2016 Lin et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 April 2016
                : 1 September 2016
                Page count
                Figures: 0, Tables: 5, Pages: 11
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Engineering and Technology
                Equipment
                Communication Equipment
                Cell Phones
                Biology and Life Sciences
                Psychology
                Addiction
                Social Sciences
                Psychology
                Addiction
                Biology and Life Sciences
                Psychology
                Addiction
                Computer Addiction
                Social Sciences
                Psychology
                Addiction
                Computer Addiction
                Biology and Life Sciences
                Psychology
                Addiction
                Behavioral Addiction
                Social Sciences
                Psychology
                Addiction
                Behavioral Addiction
                Computer and Information Sciences
                Computer Networks
                Internet
                Biology and Life Sciences
                Psychology
                Addiction
                Gambling Addiction
                Social Sciences
                Psychology
                Addiction
                Gambling Addiction
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Gambling Addiction
                Medicine and Health Sciences
                Diagnostic Medicine
                Biology and Life Sciences
                Psychology
                Addiction
                Substance Addiction
                Social Sciences
                Psychology
                Addiction
                Substance Addiction
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Substance-Related Disorders
                Substance Addiction
                Medicine and Health Sciences
                Public and Occupational Health
                Substance-Related Disorders
                Substance Addiction
                Custom metadata
                The authors cannot make this study's raw data publicly available due to restrictions imposed by the study's informed consent from participants in this study, which has been approved by the National Taiwan University Hospital Institutional Review Board.

                Uncategorized
                Uncategorized

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