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      Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey

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          Abstract

          Background and aims

          Problematic internet use (PIU; otherwise known as Internet Addiction) is a growing problem in modern societies. There is scarce knowledge of the demographic variables and specific internet activities associated with PIU and a limited understanding of how PIU should be conceptualized. Our aim was to identify specific internet activities associated with PIU and explore the moderating role of age and gender in those associations.

          Methods

          We recruited 1749 participants aged 18 and above via media advertisements in an Internet-based survey at two sites, one in the US, and one in South Africa; we utilized Lasso regression for the analysis.

          Results

          Specific internet activities were associated with higher problematic internet use scores, including general surfing (lasso β: 2.1), internet gaming (β: 0.6), online shopping (β: 1.4), use of online auction websites (β: 0.027), social networking (β: 0.46) and use of online pornography (β: 1.0). Age moderated the relationship between PIU and role-playing-games (β: 0.33), online gambling (β: 0.15), use of auction websites (β: 0.35) and streaming media (β: 0.35), with older age associated with higher levels of PIU. There was inconclusive evidence for gender and gender × internet activities being associated with problematic internet use scores. Attention-deficit hyperactivity disorder (ADHD) and social anxiety disorder were associated with high PIU scores in young participants (age ≤ 25, β: 0.35 and 0.65 respectively), whereas generalized anxiety disorder (GAD) and obsessive-compulsive disorder (OCD) were associated with high PIU scores in the older participants (age > 55, β: 6.4 and 4.3 respectively).

          Conclusions

          Many types of online behavior (e.g. shopping, pornography, general surfing) bear a stronger relationship with maladaptive use of the internet than gaming supporting the diagnostic classification of problematic internet use as a multifaceted disorder. Furthermore, internet activities and psychiatric diagnoses associated with problematic internet use vary with age, with public health implications.

          Highlights

          • This is the first comprehensive exploration of various types of internet activities associated with maladaptive internet use.

          • A range of activities beyond online gaming contributes separately and uniquely to problematic internet use.

          • Specific internet activities are associated with more problems and that this relationship is influenced by age.

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          Most cited references52

          • Record: found
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          Ridge Regression: Biased Estimation for Nonorthogonal Problems

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            Development of a Facebook Addiction Scale.

            The Bergen Facebook Addiction Scale (BFAS), initially a pool of 18 items, three reflecting each of the six core elements of addiction (salience, mood modification, tolerance, withdrawal, conflict, and relapse), was constructed and administered to 423 students together with several other standardized self-report scales (Addictive Tendencies Scale, Online Sociability Scale, Facebook Attitude Scale, NEO-FFI, BIS/BAS scales, and Sleep questions). That item within each of the six addiction elements with the highest corrected item-total correlation was retained in the final scale. The factor structure of the scale was good (RMSEA = .046, CFI = .99) and coefficient alpha was .83. The 3-week test-retest reliability coefficient was .82. The scores converged with scores for other scales of Facebook activity. Also, they were positively related to Neuroticism and Extraversion, and negatively related to Conscientiousness. High scores on the new scale were associated with delayed bedtimes and rising times.
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              The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population.

              A self-report screening scale of adult attention-deficit/hyperactivity disorder (ADHD), the World Health Organization (WHO) Adult ADHD Self-Report Scale (ASRS) was developed in conjunction with revision of the WHO Composite International Diagnostic Interview (CIDI). The current report presents data on concordance of the ASRS and of a short-form ASRS screener with blind clinical diagnoses in a community sample. The ASRS includes 18 questions about frequency of recent DSM-IV Criterion A symptoms of adult ADHD. The ASRS screener consists of six out of these 18 questions that were selected based on stepwise logistic regression to optimize concordance with the clinical classification. ASRS responses were compared to blind clinical ratings of DSM-IV adult ADHD in a sample of 154 respondents who previously participated in the US National Comorbidity Survey Replication (NCS-R), oversampling those who reported childhood ADHD and adult persistence. Each ASRS symptom measure was significantly related to the comparable clinical symptom rating, but varied substantially in concordance (Cohen's kappa in the range 0.16-0.81). Optimal scoring to predict clinical syndrome classifications was to sum unweighted dichotomous responses across all 18 ASRS questions. However, because of the wide variation in symptom-level concordance, the unweighted six-question ASRS screener outperformed the unweighted 18-question ASRS in sensitivity (68.7% v. 56.3%), specificity (99.5% v. 98.3%), total classification accuracy (97.9% v. 96.2%), and kappa (0.76 v. 0.58). Clinical calibration in larger samples might show that a weighted version of the 18-question ASRS outperforms the six-question ASRS screener. Until that time, however, the unweighted screener should be preferred to the full ASRS, both in community surveys and in clinical outreach and case-finding initiatives.
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                Author and article information

                Contributors
                Journal
                Addict Behav
                Addict Behav
                Addictive Behaviors
                Elsevier Science
                0306-4603
                1873-6327
                1 June 2018
                June 2018
                : 81
                : 157-166
                Affiliations
                [a ]Department of Psychiatry, University of Cambridge, UK
                [b ]Cambridge and Peterborough NHS Foundation Trust, Cambridge, UK
                [c ]School of Psychology, University of Birmingham, UK
                [d ]University College London, Department of Statistical Science, London, UK
                [e ]Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
                [f ]SU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, South Africa
                [g ]SU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Stellenbosch, South Africa
                Author notes
                [* ]Corresponding author at: Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Pritzker School of Medicine, 5841 S. Maryland Avenue, MC 3077, Chicago, IL, 60637, United States.Department of Psychiatry & Behavioral NeuroscienceUniversity of ChicagoPritzker School of MedicineIL5841 S. Maryland AvenueMC 3077Chicago60637United States jongrant@ 123456uchicago.edu
                Article
                S0306-4603(18)30082-0
                10.1016/j.addbeh.2018.02.017
                5849299
                29459201
                1b87ff76-102a-431f-a620-69d0c9b48569
                Crown Copyright © 2018 Published by Elsevier Ltd. All rights reserved.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 November 2017
                : 9 February 2018
                : 10 February 2018
                Categories
                Article

                Clinical Psychology & Psychiatry
                internet addiction,behavioral addiction,internet gaming disorder,problematic internet use,lasso,machine learning

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