Starting from a cohort of residents in Turin (Piedmont, Italy) from 2008 to 2018 it was possible to select 255 incident cases of H&N cancer related to workers in the year of diagnosis, who had no cancer in other sites in the considered period. Within this subset, about 34% of patients didn’t work during the two years after the diagnosis.

Latent Class Analyses (LCA) allowed to define the profiles of these workers on the basis of sociodemographic and clinical variables. The most relevant variables to define the profiles were: sex, age class, education level, deprivation index (census level section), social support, tumor stage.

Statistical models were used to investigate whether some profiles were associated with a different probability of stop working during the two years after the diagnosis. Results showed that low educated and highly deprived people are more likely to stop working than less deprived and more educated ones, also considering age. This is probably linked to the type of job performed, given that usually less educated are employed as blue-collar workers. Further investigations are in progress on this.