Literature DB >> 28578206

Is Internet addiction transitory or persistent? Incidence and prospective predictors of remission of Internet addiction among Chinese secondary school students.

Joseph T F Lau1, Anise M S Wu2, Danielle L Gross3, Kit-Man Cheng3, Mason M C Lau3.   

Abstract

BACKGROUND: Internet addiction (IA) is prevalent among adolescents but it is potentially revertible. Only three Taiwan adolescent studies reported IA remission and a few related factors. We investigated incidence and predictors of remission among Hong Kong Chinese secondary school students with a 12-month longitudinal study.
METHODS: IA was defined as Chen Internet Addiction Scale (CIAS) score>63. Validated measures were used to assess students' psychosocial wellbeing at baseline and follow-up.
RESULTS: Of 1545 students with IA at baseline, 1296 (83.9%) provided matched baseline/12-month follow-up data; their data were analyzed. Incidence of remission (CIAS≤63 at follow-up) was 59.29/100 person-years. Significant predictors included: 1) baseline CIAS score (ORa=.95), 2) baseline health belief model (HBM) constructs [perception of having severe IA (ORa=.34), perceived susceptibility to IA (ORa=0.82), perceived barrier (ORa=0.95), cue to action from parents (ORa=0.82), and self-efficacy for reducing Internet use (ORa=1.13)], and 3) baseline psychosocial health measures [self-esteem (ORa=1.03), severe depression (ORa=0.72) and social anxiety (ORa=0.96)] and their changes over time [depression (ORa=.95), anxiety (ORa=.94), loneliness (ORa=.93), self-esteem (ORa=1.07), positive affect (ORa=1.10) and family support (ORa=1.03)]. Two-thirds (64.3%) of the remission group presented reduced CIAS score>1.5 SD, and recorded larger improvements in psychosocial status over time than the non-remission group.
CONCLUSION: Without noticeable interventions, incidence of remission was high and related to improvements in psychosocial health. Most of the HBM constructs, and baseline/changes in psychosocial measures predicted remission. Interventions to increase remission should modify these factors.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescent; Chinese; Health belief model; Internet addiction; Psychosocial health; Remission

Mesh:

Year:  2017        PMID: 28578206     DOI: 10.1016/j.addbeh.2017.05.034

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  10 in total

1.  Neurodevelopmental Traits and Longitudinal Transition Patterns in Internet Addiction: A 2-year Prospective Study.

Authors:  Tomoya Hirota; Michio Takahashi; Masaki Adachi; Yui Sakamoto; Kazuhiko Nakamura
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2.  The 2-Year Course of Internet Addiction Among a Japanese Adolescent Psychiatric Clinic Sample with Autism Spectrum Disorder and/or Attention-Deficit Hyperactivity Disorder.

Authors:  Ryuhei So; Kazunori Makino; Tomoya Hirota; Masaki Fujiwara; Kozo Ocho; Shin Ikeda; Shouko Tsubouchi; Masatoshi Inagakip
Journal:  J Autism Dev Disord       Date:  2019-11

3.  Assessing ICD-11 Gaming Disorder in Adolescent Gamers: Development and Validation of the Gaming Disorder Scale for Adolescents (GADIS-A).

Authors:  Kerstin Paschke; Maria Isabella Austermann; Rainer Thomasius
Journal:  J Clin Med       Date:  2020-04-02       Impact factor: 4.241

4.  Predictors of Spontaneous Remission of Problematic Internet Use in Adolescence: A One-Year Follow-Up Study.

Authors:  Lutz Wartberg; Katajun Lindenberg
Journal:  Int J Environ Res Public Health       Date:  2020-01-09       Impact factor: 3.390

5.  Persistence in Problematic Internet Use-A Systematic Review and Meta-Analysis.

Authors:  Daniel Dahl; Karin Helmersson Bergmark
Journal:  Front Sociol       Date:  2020-05-15

Review 6.  Problematic internet use: A scoping review - longitudinal research on a contemporary social problem, 2006-2017.

Authors:  Daniel Dahl; Karin Helmersson Bergmark
Journal:  Nordisk Alkohol Nark       Date:  2020-09-22

7.  The role of inhibitory control and decision-making in the course of Internet gaming disorder.

Authors:  Anja Kräplin; Stefan Scherbaum; Eva-Maria Kraft; Florian Rehbein; Gerhard Bühringer; Thomas Goschke; Thomas Mößle
Journal:  J Behav Addict       Date:  2020-10-31       Impact factor: 6.756

8.  Treatment outcomes of a CBT-based group intervention for adolescents with Internet use disorders.

Authors:  Carolin Szász-Janocha; Eva Vonderlin; Katajun Lindenberg
Journal:  J Behav Addict       Date:  2020-11-16       Impact factor: 6.756

9.  Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine.

Authors:  Zonglin Di; Xiaoliang Gong; Jingyu Shi; Hosameldin O A Ahmed; Asoke K Nandi
Journal:  Addict Behav Rep       Date:  2019-07-11

10.  Functional neural changes and altered cortical-subcortical connectivity associated with recovery from Internet gaming disorder.

Authors:  Guang-Heng Dong; Min Wang; Jialin Zhang; Xiaoxia Du; Marc N Potenza
Journal:  J Behav Addict       Date:  2019-12-01       Impact factor: 6.756

  10 in total

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