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Proposed Diagnostic Criteria for Smartphone Addiction

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 crit...

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Autores principales: Lin, Yu-Hsuan, Chiang, Chih-Lin, Lin, Po-Hsien, Chang, Li-Ren, Ko, Chih-Hung, Lee, Yang-Han, Lin, Sheng-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112893/
https://www.ncbi.nlm.nih.gov/pubmed/27846211
http://dx.doi.org/10.1371/journal.pone.0163010
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author Lin, Yu-Hsuan
Chiang, Chih-Lin
Lin, Po-Hsien
Chang, Li-Ren
Ko, Chih-Hung
Lee, Yang-Han
Lin, Sheng-Hsuan
author_facet Lin, Yu-Hsuan
Chiang, Chih-Lin
Lin, Po-Hsien
Chang, Li-Ren
Ko, Chih-Hung
Lee, Yang-Han
Lin, Sheng-Hsuan
author_sort Lin, Yu-Hsuan
collection PubMed
description 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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spelling pubmed-51128932016-12-08 Proposed Diagnostic Criteria for Smartphone Addiction Lin, Yu-Hsuan Chiang, Chih-Lin Lin, Po-Hsien Chang, Li-Ren Ko, Chih-Hung Lee, Yang-Han Lin, Sheng-Hsuan PLoS One Research Article 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. Public Library of Science 2016-11-15 /pmc/articles/PMC5112893/ /pubmed/27846211 http://dx.doi.org/10.1371/journal.pone.0163010 Text en © 2016 Lin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lin, Yu-Hsuan
Chiang, Chih-Lin
Lin, Po-Hsien
Chang, Li-Ren
Ko, Chih-Hung
Lee, Yang-Han
Lin, Sheng-Hsuan
Proposed Diagnostic Criteria for Smartphone Addiction
title Proposed Diagnostic Criteria for Smartphone Addiction
title_full Proposed Diagnostic Criteria for Smartphone Addiction
title_fullStr Proposed Diagnostic Criteria for Smartphone Addiction
title_full_unstemmed Proposed Diagnostic Criteria for Smartphone Addiction
title_short Proposed Diagnostic Criteria for Smartphone Addiction
title_sort proposed diagnostic criteria for smartphone addiction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112893/
https://www.ncbi.nlm.nih.gov/pubmed/27846211
http://dx.doi.org/10.1371/journal.pone.0163010
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