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Their prevalence is shaped not only by individual demographic characteristics but also by contextual factors such as socioeconomic and occupational environments. We develop a Bayesian topic\u2010informed dynamic mixture model to analyze SNAP behaviors using data from the Italian health and behavioral surveillance system PASSI. Free\u2010text occupational descriptions are integrated through structural topic modeling to define latent occupational groups that inform the mixture weights of a multivariate ordered probit model. Covariate effects are allowed to vary across occupational clusters and evolve over time. To enhance interpretability and facilitate variable selection, we incorporate non\u2010local spike\u2010and\u2010slab priors on regression coefficients. We further develop a tailored online learning strategy based on sequential Monte Carlo, enabling efficient updating of inference as new surveillance data become available. The proposed approach provides a flexible and interpretable framework for monitoring how occupational contexts modulate the impact of socio\u2010demographic factors on multiple health risk behaviors over time, supporting targeted public health interventions. More broadly, the methodology is applicable to other longitudinal health surveillance and clinical settings where complex contextual information is available in textual form.<\/jats:p>","DOI":"10.1002\/sim.70691","type":"journal-article","created":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T03:36:19Z","timestamp":1786419379000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Modeling Heterogeneity in Health Risk Behaviors With a Dynamic Mixture Model Informed by Textual Occupational Data"],"prefix":"10.1002","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1590-5326","authenticated-orcid":false,"given":"Lorenzo","family":"Schiavon","sequence":"first","affiliation":[{"name":"Department of Statistical Sciences University of Padova  Padova Italy"},{"name":"Department of Mathematics University of Padova  Padova 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