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Problematic internet use profiles and psychosocial risk among adolescents

OBJECTIVE: Although 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. METHODS: The aim of this study was to iden...

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Autores principales: Pontes, Halley M., Macur, Mirna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439481/
https://www.ncbi.nlm.nih.gov/pubmed/34520489
http://dx.doi.org/10.1371/journal.pone.0257329
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author Pontes, Halley M.
Macur, Mirna
author_facet Pontes, Halley M.
Macur, Mirna
author_sort Pontes, Halley M.
collection PubMed
description OBJECTIVE: Although 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. METHODS: The 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, Mean(age) = 13.46 years, range = 12–16) was recruited from several schools in Slovenia through stratified random sampling. RESULTS: A 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. CONCLUSIONS: Contrary 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.
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spelling pubmed-84394812021-09-15 Problematic internet use profiles and psychosocial risk among adolescents Pontes, Halley M. Macur, Mirna PLoS One Research Article OBJECTIVE: Although 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. METHODS: The 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, Mean(age) = 13.46 years, range = 12–16) was recruited from several schools in Slovenia through stratified random sampling. RESULTS: A 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. CONCLUSIONS: Contrary 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. Public Library of Science 2021-09-14 /pmc/articles/PMC8439481/ /pubmed/34520489 http://dx.doi.org/10.1371/journal.pone.0257329 Text en © 2021 Pontes, Macur https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pontes, Halley M.
Macur, Mirna
Problematic internet use profiles and psychosocial risk among adolescents
title Problematic internet use profiles and psychosocial risk among adolescents
title_full Problematic internet use profiles and psychosocial risk among adolescents
title_fullStr Problematic internet use profiles and psychosocial risk among adolescents
title_full_unstemmed Problematic internet use profiles and psychosocial risk among adolescents
title_short Problematic internet use profiles and psychosocial risk among adolescents
title_sort problematic internet use profiles and psychosocial risk among adolescents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439481/
https://www.ncbi.nlm.nih.gov/pubmed/34520489
http://dx.doi.org/10.1371/journal.pone.0257329
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