Marco Camozzi, Isabel Sánchez, Isabelle Giroux, Isabel Baenas, Jéssica Sánchez-González, Neus Aymamí, Laura Moragas, Anne Sauvaget, Hibai Lopez-Gonzalez, Eduardo Valenciano-Mendoza, Marie Grall-Bronnec, María Lozano-Madrid, Bernat Mora, Fernando Fernández-Aranda, Amparo del Pino-Gutiérrez, Cristina Vintró-Alcaraz, José M. Menchón, Susana Jiménez-Murcia, Roser Granero, Gemma Mestre-Bach, Teresa Mena-Moreno, Mónica Gómez-Peña, Zaida Agüera, Ester Codina, Gemma Casalé-Salayet, Instituto de Salud Carlos III [Madrid] (ISC), Universitat Autònoma de Barcelona (UAB), Institut d'Investigació Biomèdica de Bellvitge [Barcelone] (IDIBELL), University of Barcelona, Université Laval [Québec] (ULaval), MethodS in Patients-centered outcomes and HEalth ResEarch (SPHERE), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes (UN)-Université de Nantes (UN), Motricité, interactions, performance EA 4334 / Movement - Interactions - Performance (MIP), Le Mans Université (UM)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Université de Nantes - UFR des Sciences et Techniques des Activités Physiques et Sportives (UFR STAPS), We thank CERCA Programme / Generalitat de Catalunya for institutional support. This manuscript and research was supported by grants from the Ministerio de Economıa y Competitividad (PSI2015-68701-R), Research funded by the Delegacion del Gobierno para el Plan Nacional sobre Drogas (2017I067 and 2019I47), Instituto de Salud Carlos III (ISCIII) (FIS PI14/00290 and PI17/01167) and co-funded by FEDER funds /European Regional Development Fund (ERDF), a way to build Europe. CIBERobn and CIBERSAM are both initiatives of ISCIII. Support was received from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia. TMM, CVA and MLM are supported by a predoctoral Grant of the Ministerio de Educacion, Cultura y Deporte (FPU16/02087)., Bodescot, Myriam, Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes - UFR des Sciences et Techniques des Activités Physiques et Sportives (UFR STAPS), and Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Le Mans Université (UM)
International audience; The use of instruments originally developed for measuring gambling activity in younger populations may not be appropriate in older age individuals. The aim of this study was to examine the presence of problematic and disordered gambling in seniors aged 50 or over, and study the reliability and validity properties of the SOGS (a screening measure to identify gambling related problems). Two independent samples were recruited: a clinical group of n = 47 patients seeking treatment at a Pathological Gambling Outpatient Unit, and a population-based group of n = 361 participants recruited from the same geographical area. Confirmatory factor analysis verified the bifactor structure for the SOGS with two correlated underlying dimensions [measuring the impact of gambling on the self primarily (Cronbach's alpha α = 0.87) or on both the self and others also (α = 0.82)], and a global dimension of gambling severity (also with excellent internal consistency, α = 0.90). The SOG obtained excellent accuracy/validity for identifying gambling severity based on the DSM-5 criteria (area under the ROC curve AUC = 0.97 for discriminating disordered gambling and AUC = 0.91 for discriminating problem gambling), and good convergent validity with external measures of gambling (Pearson's correlation R = 0.91 with the total number of DSM-5 criteria for gambling disorder, and R = 0.55 with the debts accumulated due to gambling) and psychopathology (R = 0.50, 0.43 and 0.44 with the SCL-90R depression, anxiety and GSI scales). The optimal cutoff point for identifying gambling disorder was 4 (sensitivity Se = 92.3% and specificity Sp = 98.6%) and 2 for identifying problem gambling (Se = 78.8% and Sp = 96.7%). This study provides empirical support for the reliability and validity of the SOGS for assessing problem gambling in elders, and identifies two specific factors that could help both research and clinical decision-making, based on the severity and consequences of the gambling activity.