Problematic online behaviors constitute related yet distinct conditions: A cross-sectional study

Baggio, S; Bosson, M; Berle, D; Starcevic, V; Simon, O; Billieux, J

Problematic online behaviors constitute related yet distinct conditions: A cross-sectional study

Baggio, S Bosson, M Berle, D

Starcevic, V Simon, O Billieux, J

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Computers in Human Behavior, 2024, 160
Issue Date:: 2024-11-01

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Field	Value	Language
dc.contributor.author	Baggio, S
dc.contributor.author	Bosson, M
dc.contributor.author	Berle, D https://orcid.org/0000-0002-4861-2220
dc.contributor.author	Starcevic, V
dc.contributor.author	Simon, O
dc.contributor.author	Billieux, J
dc.date.accessioned	2024-09-27T04:44:37Z
dc.date.available	2024-09-27T04:44:37Z
dc.date.issued	2024-11-01
dc.identifier.citation	Computers in Human Behavior, 2024, 160
dc.identifier.issn	0747-5632
dc.identifier.issn	1873-7692
dc.identifier.uri	http://hdl.handle.net/10453/181034
dc.description.abstract	This study tested the Spectrum hypothesis of problematic online behaviors (POBs) which posits that POBs (e.g., online gaming, gambling, sexual activities, and social networking) constitute distinct, yet related constructs. To overcome the limitations of previous research, we recruited a representative sample of young men and capitalized on a common assessment approach (Fifth version of the Diagnostic and Statistical Manual of Mental Disorders [DSM-5] and Eleventh version of the International Classification of Diseases [ICD-11] frameworks). The study was a single-center, observational study with a cross-sectional design (n = 2620). All targeted behaviors were assessed using the proposed criteria of the DSM-5 and the ICD-11. The correlation analysis showed that online activities were weakly correlated (0.01 ≤ r ≤ 0.19), suggesting that when people engage in one specific online activity to a problematic extent, they do not necessarily engage in several online activities in an excessive way. Using a network analysis, we showed that various POBs might reflect distinct constructs. The community detection analysis identified four communities of items corresponding to each POB. Our robust methodology and sampling strategy suggests that the construct of “Internet addiction” could be misleading. This epistemological shift might be necessary to develop adequate clinical care and public health measures to address POBs.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Computers in Human Behavior
dc.relation.isbasedon	10.1016/j.chb.2024.108358
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0806 Information Systems, 1701 Psychology, 1702 Cognitive Sciences
dc.subject.classification	Education
dc.subject.classification	4608 Human-centred computing
dc.subject.classification	5201 Applied and developmental psychology
dc.subject.classification	5204 Cognitive and computational psychology
dc.title	Problematic online behaviors constitute related yet distinct conditions: A cross-sectional study
dc.type	Journal Article
utslib.citation.volume	160
utslib.for	0806 Information Systems
utslib.for	1701 Psychology
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Health
utslib.copyright.status	recently_added	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-09-27T04:44:35Z
pubs.publication-status	Accepted
pubs.volume	160

Abstract:

This study tested the Spectrum hypothesis of problematic online behaviors (POBs) which posits that POBs (e.g., online gaming, gambling, sexual activities, and social networking) constitute distinct, yet related constructs. To overcome the limitations of previous research, we recruited a representative sample of young men and capitalized on a common assessment approach (Fifth version of the Diagnostic and Statistical Manual of Mental Disorders [DSM-5] and Eleventh version of the International Classification of Diseases [ICD-11] frameworks). The study was a single-center, observational study with a cross-sectional design (n = 2620). All targeted behaviors were assessed using the proposed criteria of the DSM-5 and the ICD-11. The correlation analysis showed that online activities were weakly correlated (0.01 ≤ r ≤ 0.19), suggesting that when people engage in one specific online activity to a problematic extent, they do not necessarily engage in several online activities in an excessive way. Using a network analysis, we showed that various POBs might reflect distinct constructs. The community detection analysis identified four communities of items corresponding to each POB. Our robust methodology and sampling strategy suggests that the construct of “Internet addiction” could be misleading. This epistemological shift might be necessary to develop adequate clinical care and public health measures to address POBs.

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http://hdl.handle.net/10453/181034