This study explores the determinants of betting behavior in Cameroon, focusing on the socio-economic, technological, and cultural influences. Using data from 650 respondents collected via structured questionnaires, a binary logistic regression model was employed to examine the impact of key predictors such as unemployment, low entry cost, technological access, peer influence, popularity of football, entertainment value, youth-driven market, and urban concentration on betting decisions. The control variables used in the study included socioeconomic status, education level, income, and gender that were incorporated to refine the analysis. Findings indicate that low entry cost, technological access, peer influence, youth-driven market dynamics, and urban concentration significantly increase the likelihood of betting participation. In contrast, unemployment, football popularity, and entertainment value were not statistically significant. The model demonstrated a low explanatory power with a Nagelkerke R2 of 0.19, and the survey instrument showed strong internal consistency with the Cronbach’s alpha with a value of 0.81. Multicollinearity diagnostics confirmed the reliability of the predictors with a Variance inflation factor that is less than 2. These results suggest that betting behavior in Cameroon is primarily driven by affordability, digital accessibility, social dynamics, and urban youth culture, rather than economic hardship or for recreational motives. The study recommends the use of targeted policy interventions, digital literacy initiatives, and youth engagement programs to promote responsible betting and mitigate associated risks.
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