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    Title: Incorporation of Mobile Application (App) Measures into the Diagnosis of Smartphone Addiction
    Authors: Lin, Yu-Hsuan;Lin, Po-Hsien;Chiang, Chih-Lin;Lee, Yang-Han;Yang, Cheryl C. H.;Kuo, Terry;Lin, Sheng-Hsuan
    Date: 2017-04-01
    Issue Date: 2016-04-22 13:47:28 (UTC+8)
    Publisher: Wiley-Blackwell Publishing Ltd.
    Abstract: OBJECTIVE:Global smartphone expansion has brought about unprecedented addictive behaviors. The current diagnosis of smartphone addiction is based solely on information from clinical interview. This study aimed to incorporate application (app)-recorded data into psychiatric criteria for the diagnosis of smartphone addiction and to examine the predictive ability of the app-recorded data for the diagnosis of smartphone addiction.
    METHODS:
    Smartphone use data of 79 college students were recorded by a newly developed app for 1 month between December 1, 2013, and May 31, 2014. For each participant, psychiatrists made a diagnosis for smartphone addiction based on 2 approaches: (1) only diagnostic interview (standard diagnosis) and (2) both diagnostic interview and app-recorded data (app-incorporated diagnosis). The app-incorporated diagnosis was further used to build app-incorporated diagnostic criteria. In addition, the app-recorded data were pooled as a score to predict smartphone addiction diagnosis.
    RESULTS:
    When app-incorporated diagnosis was used as a gold standard for 12 candidate criteria, 7 criteria showed significant accuracy (area under receiver operating characteristic curve [AUC] > 0.7) and were constructed as app-incorporated diagnostic criteria, which demonstrated remarkable accuracy (92.4%) for app-incorporated diagnosis. In addition, both frequency and duration of daily smartphone use significantly predicted app-incorporated diagnosis (AUC = 0.70 for frequency; AUC = 0.72 for duration). The combination of duration, frequency, and frequency trend for 1 month can accurately predict smartphone addiction diagnosis (AUC = 0.79 for app-incorporated diagnosis; AUC = 0.71 for standard diagnosis).
    CONCLUSIONS:
    The app-incorporated diagnosis, combining both psychiatric interview and app-recorded data, demonstrated substantial accuracy for smartphone addiction diagnosis. In addition, the app-recorded data performed as an accurate screening tool for app-incorporated diagnosis.
    Relation: Journal of Clinical Psychiatry 78(7); p.866–872
    DOI: 10.4088/JCP.15m10310
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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