The Dark Side of Leisure Time: Analysis of the Predictive Effects Between Boredom, Internet Usage Habits, and Gambling Behaviors

Abstract

Background/Objectives: This study aimed to identify the relationships between individuals’ perceptions of leisure boredom, internet usage habits, and gambling motivations, focusing on analyzing the predictive effects by age category in adults. Methods: The study employs quantitative research methods, adopting a relational survey model. The sample group comprises 310 adult (94 female and 214 male) individuals aged 18 and over. Data were collected using the Leisure Boredom Scale (LBS), targeting two subscales: negative (Boredom) and positive (Satisfaction) attitudes toward leisure time, the Leisure Internet Use Scale (LIUS) targeting four forms of leisure, and the Gambling Motivation Scale (GMS) with the following subscales: socialization, entertainment/excitement, escapism, and money-making. In the analysis conducted with SPSS 25.0, independent samples t-test, ANOVA, correlation, and regression analyses were applied. Results: The findings indicate that leisure boredom significantly predicts internet usage and gambling motivations. Notably, individuals who spend their leisure time on passive activities were found to have higher rates of internet usage, habits, digital addiction, and gambling behavior. The positive relationship between internet usage habits, digital addictions, and risky behaviors such as gambling becomes particularly pronounced among young adults. Conclusions: Leisure time management is critical for individuals’ psychological well-being. Cognitive awareness programs, digital literacy education, and promoting participation in healthy leisure activities are recommended as key strategies to prevent risky behaviors.