Interplay between alexithymia, emotion regulation, and positive and negative affect as predictors of gambling and gaming disorders in adolescents and young adults

Introduction/Objectives: Gambling and gaming disorder are usually comorbid addictive behaviours in which alexithymia and emotional regulation have been proved to be of relevance. The present study aimed to analyse the relationship between those variables and their differences depending on the presence or absence of gambling and gaming behaviours. Method: The sample consisted of 1,219 people between 12 and 20 years of age (M = 15.55, SD = 2.07; 51.8% females). Results: The results showed significant differences between players and non-players in gambling disorder, alexithymia and emotional regulation. The findings also indicated that there were differences in alexithymia, emotional regulation, negative affect, gambling disorder and gaming disorder among the different profiles of video game players. The comparison of participants with gaming disorder, gambling disorder, both, or neither of them, showed differences in alexithymia, emotional regulation, negative affect, gambling disorder and gaming disorder. Furthermore, correlations between gambling disorder and age, gaming disorder, negative affect, alexithymia and emotional regulation were found. Similarly, gaming dis-order was associated with gambling disorder, negative affect, alexithymia, emotional regulation and age. Conclusions: The hierarchical regression analyses demonstrated the predictive role of alexithymia and age in gambling disorder as well as the predictive role of age, sex and negative affect in gaming disorder.

Introducción/Objetivos: Los trastornos de juego y videojuego son conductas adictivas habitualmente comórbidas en las que se ha demostrado la relevancia de la alexitimia y la regulación emocional. Este estudio analiza la relación entre dichas variables y sus diferencias en función de la presencia o ausencia de conductas de juego y videojuego. Método: La muestra estuvo formada por 1219 personas de entre 12 y 20 años (M = 15.55, SD = 2.07; 51.8 % mujeres). Resultados: Los resultados mostraron diferencias significativas entre jugadores y no jugadores en el juego patológico, la alexitimia y la regulación emocional. Los resultados también indicaron que había diferencias en alexitimia, regulación emocional, afecto negativo, trastorno de juego y videojuego entre los distintos perfiles de jugadores de videojuegos. La comparación de los participantes con trastorno de juego y videojuego, con ambos o con ninguno de ellos, mostró diferencias en la alexitimia, la regulación emocional, el afecto negativo, el trastorno de juego y videojuego. Además, se encontraron correlaciones entre el juego patológico y la edad, el trastorno por videojuego, el afecto negativo, la alexitimia y la regulación emocional. Del mismo modo, el trastorno por videojuego se asoció con el juego patológico, el afecto negativo, la alexitimia, la regulación emocional y la edad. Conclusiones: Los análisis de regresión jerárquica demostraron el papel predictivo de la alexitimia y la edad en el trastorno de juego y el papel predictivo de la edad, el sexo y el afecto negativo en el trastorno por videojuego.

Presence of problematic and disordered gambling in older age and validation of the South Oaks Gambling Scale.

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.