Gaming passion contributes to the definition and identification of problematic gaming Infanti, Alexandre Valls Serrano, Carlos Perales López, José César Vögele, Claus Billieux, Joël Gaming disorder Obsessive passion Harmonious passion Impulsivity Gaming motivations This work is part of the DRIVEN project funded by the Luxembourg National Research Fund under the PRIDE program (PRIDE17/12252781). Even if for most people playing video games is a healthy leisure activity, a minority of vulnerable users present an excessive use associated to negative consequences (e.g., psychosocial maladjustment, sleep interference) and functional impairment. The current study first aims to identify psychological factors that contribute to discriminate highly involved (but healthy) gamers from problematic gamers. For that purpose, we used a cluster analysis approach to identify different groups of gamers based on their profiles of passion towards gaming (using the Dualistic Model of Passion). Another objective of the present study is to explore, using supervised machinelearning, how gaming disorder symptoms, assessed within the substance use disorder framework (e.g., tolerance, withdrawal), might be linked to harmonious and/or an obsessive passion for gaming. Three distinct clusters of gamers were identified based on their passion profiles, including risky gamers, engaged gamers, and casual gamers. Supervised machine-learning algorithms identified that specific gaming disorder symptoms (salience, mood modification, tolerance, low level of conflict) were predominantly related to harmonious passion, whereas others (withdrawal, high level of conflict, relapse) were more directly related to obsessive passion. Our results support the relevance of person-centered approaches to the treatment of problematic gaming. 2023-09-15T11:19:27Z 2023-09-15T11:19:27Z 2023-12 journal article A. Infanti et al. Gaming passion contributes to the definition and identification of problematic gaming. Addictive Behaviors 147 (2023) 107805. [https://doi.org/10.1016/j.addbeh.2023.107805] https://hdl.handle.net/10481/84448 10.1016/j.addbeh.2023.107805 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional Elsevier