Evidence map›Paper›PMID 29459201›Full record

ArticleAddictive behaviors2018

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

Konstantinos Ioannidis, Matthias S Treder, Samuel R Chamberlain, Franz Kiraly, Sarah A Redden, Dan J Stein, Christine Lochner, Jon E Grant

Abstract read
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Worldwide Prevalence of Internet Addiction among Medical Students: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2024
    Pooled it
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  5. Cognitive deficits in problematic internet use: meta-analysis of 40 studies.The British journal of psychiatry : the journal of mental science · 2019
    Pooled it
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Konstantinos IoannidisDepartment of Psychiatry, University of Cambridge, UK; Cambridge and Peterborough NHS Foundation Trust, Cambridge, UK.
Matthias S TrederSchool of Psychology, University of Birmingham, UK.
Samuel R ChamberlainDepartment of Psychiatry, University of Cambridge, UK; Cambridge and Peterborough NHS Foundation Trust, Cambridge, UK.
Franz KiralyUniversity College London, Department of Statistical Science, London, UK.
Sarah A ReddenDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA.
Dan J SteinSU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, South Africa.
Christine LochnerSU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Stellenbosch, South Africa.
Jon E GrantDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA. Electronic address: jongrant@uchicago.edu.

Funding

N-Acetyl Cysteine plus Behavioral Therapy for Nicotine Dependent Pathological GamRC1DA028279 · NIDA · UNIVERSITY OF MINNESOTA · PI GRANT, JON E · 2009 to 2010
$950k
NIDA NIH HHS RC1 DA028279Wellcome Trust 110049
6 · The paper itself

Abstract

BACKGROUND AND

aimsProblematic 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.

methodsWe 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.

resultsSpecific 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).

conclusionsMany 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.

Indexed as

EroticaInternetOnline Social NetworkingVideo GamesAdolescentAdultAge FactorsAnxiety DisordersAttention Deficit Disorder with HyperactivityBehavior, AddictiveFemaleGamblingHumansMachine LearningMaleMiddle AgedBehavioral addictionInternet addictionInternet gaming disorderLassoMachine learningProblematic internet use

Identifiers

PMID29459201
PMCPMC5849299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.