Problematic internet use profiles and psychosocial risk among adolescents.

<h4>Objective</h4>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.<h4>Methods</h4...

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Autores principales:	Halley M Pontes, Mirna Macur
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a1c917d2278a4cb0bdaae04c54bee0ac
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spelling	oai:doaj.org-article:a1c917d2278a4cb0bdaae04c54bee0ac2021-12-02T20:08:16ZProblematic internet use profiles and psychosocial risk among adolescents.1932-620310.1371/journal.pone.0257329https://doaj.org/article/a1c917d2278a4cb0bdaae04c54bee0ac2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257329https://doaj.org/toc/1932-6203<h4>Objective</h4>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.<h4>Methods</h4>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, Meanage = 13.46 years, range = 12-16) was recruited from several schools in Slovenia through stratified random sampling.<h4>Results</h4>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.<h4>Conclusions</h4>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.Halley M PontesMirna MacurPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257329 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Halley M Pontes Mirna Macur Problematic internet use profiles and psychosocial risk among adolescents.
description	<h4>Objective</h4>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.<h4>Methods</h4>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, Meanage = 13.46 years, range = 12-16) was recruited from several schools in Slovenia through stratified random sampling.<h4>Results</h4>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.<h4>Conclusions</h4>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.
format	article
author	Halley M Pontes Mirna Macur
author_facet	Halley M Pontes Mirna Macur
author_sort	Halley M Pontes
title	Problematic internet use profiles and psychosocial risk among adolescents.
title_short	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_sort	problematic internet use profiles and psychosocial risk among adolescents.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/a1c917d2278a4cb0bdaae04c54bee0ac
work_keys_str_mv	AT halleympontes problematicinternetuseprofilesandpsychosocialriskamongadolescents AT mirnamacur problematicinternetuseprofilesandpsychosocialriskamongadolescents
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Problematic internet use profiles and psychosocial risk among adolescents.

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