Evidence map›Paper›PMID 34520489›Full record

ArticlePloS one2021

Problematic internet use profiles and psychosocial risk among adolescents.

Halley M Pontes, Mirna Macur

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

2 authors.

Halley M PontesDepartment of Organizational Psychology, Birkbeck, University of London, London, United Kingdom.ORCID 0000-0001-8020-7623
Mirna MacurAngela Boškin Faculty of Health Care, Jesenice, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlthough Problematic Internet Use (PIU) is an emerging area of study in psychology, little is known about the unique features of specific subgroups of internet users and their psychosocial vulnerabilities within robust and nationwide populations.

methodsThe aim of this study was to identify distinct latent groups of internet users based on their PIU risk and to compare their psychosocial outcomes. To achieve this, a nationally representative sample of adolescents of the same grade (N = 1,066, Meanage = 13.46 years, range = 12-16) was recruited from several schools in Slovenia through stratified random sampling.

resultsA Latent Profile Analysis (LPA) revealed a two-class solution, with Class 1 (n = 853, 80%) featuring 'low PIU risk' participants and Class 2 (n = 213, 20%) including 'high PIU risk' participants. Behaviorally, the main feature of Class 1 denoted 'time management difficulties' while Class 2 was best characterized by 'mood and time management issues'. Further frequentist and Bayesian analyses indicated that Class 2 presented greater psychosocial risk compared to Class 1 due to significantly higher levels of PIU (generalized and across specific PIU subfactors) coupled with lower levels of subjective well-being and self-control.

conclusionsContrary to what was initially envisaged, the two classes did not differ in terms of perceived quality in parent-child relationship. This study shows that PIU patterns and symptom-severity may be developmentally specific, further highlighting the need for clinically age-adjusted PIU screening practices within epidemiological and healthcare settings.

Indexed as

AdolescentAdolescent BehaviorBayes TheoremBehavior, AddictiveChildCross-Sectional StudiesFemaleHumansInternetInternet UseLogistic ModelsMaleMental DisordersParent-Child RelationsRisk FactorsSlovenia

Identifiers

PMID34520489
PMCPMC8439481

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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.