BACKGROUND: Mental illness is a global concern and the leading cause of years lived with disability. Research on help-seeking behaviour has focused on individual factors, but there is still much unexplained variance. Suggesting complex interactions between determinants of human behaviour a new framework called Self-Milieux is proposed to represent a person's sociocultural background. The article introduces a statistical approach to determine Self-Milieux and exemplarily examines its predictive validity for health-related research. METHODS: Self-Milieux are determined through a two-stage clustering method based on the determinants socioeconomic status and self-construal profile. Descriptive analyses are used to compare Self-Milieux characteristics. Hierarchical binary logistic regression models test the association between Self-Milieux and help-seeking behaviour, while controlling for socioeconomic status as an established predictor. RESULTS: The sample size was N = 1535 (M DISCUSSION: The study's strengths and limitations, as well as the cluster methodology, are discussed. The comparative results for the six Self-Milieux are interpreted based on current research. For example, participants from some milieux follow a help-seeking process proposed in previous research, while participants from other milieux seem to show a different process, one that ends in informal help-seeking.