Methylpiperidino pyrazole br secondary analysis included agents which were
secondary analysis included 34 agents which were causally related to 23 cancers, representing 73 occupational agent and cancer site pairs.
2.2. Estimation of the proportion of the population ever exposed to occupational carcinogens
We used multiple sources of occupational exposure data in order to derive the most comprehensive data which are outlined in Table 1. Briefly, we used the French national survey on occupational exposures among 50,000 employees (SUMER), the French CAREX estimates, the national labor force survey, a French agricultural cohort (AGRICAN), the national monitoring system for workers exposed to ionizing radia-tion (SISERI), and the Matgéné program combining lifetime self-re-ported job history of a representative sample of 10,000 French persons with a French-specific job-exposure matrix (JEM).
Solid cancers have been reported to have a distinct latency time as compared to hematological and lymphatic malignancies. Therefore, the risk exposure Methylpiperidino pyrazole (REP), i.e. the time-period during which exposure to occupational carcinogens are considered to have contributed to cancer incidence in 2015, was assumed to be from 1995 to 2015 for hematological cancers (short REP), and from 1965 to 2005 for solid cancers (long REP). This corresponds to a latency time of 0–20 years for the first, and of 10–50 years for the latter (Rushton et al., 2010).
2.2.1. Estimation of the prevalence of the ever exposed population over the short exposure period
To estimate the prevalence of exposure to occupational agents over the short REP, cross-sectional prevalence of exposure from the AGRICAN (Leveque-Morlais et al., 2015), SUMER (Arnaudo et al., 2006), CAREX (Vincent et al., 1999) and national labor force survey databases (Direction des statistiques démographiques et sociales 2016) were applied to the 2015 French population data by age and sex (Institut national de la statistique et des études économiques 2015). For the agents that were included in the Matgéné program (Fevotte et al., 2011), we used the 2007 prevalences of exposure as provided from this database, applied to the 2015 French population. Finally, to assess cumulative exposure to ionizing radiation over the short REP by sex, we simulated a cohort of workers over 1995–2015, using population data combined with the number of workers exposed and their average an-nual exposure dose reported annually from 1996 to 2015 (Institut de Radioprotection et de Sûreté Nucléaire, 2015) (See note S1 detailing the method to assess cumulative occupational exposure to ionizing radia-tion).
2.2.2. Estimation of the prevalence of the ever exposed population over the long exposure period
Similarly, several methods were used to estimate the prevalence of exposure over the long REP. The prevalence of ever exposed to pesti-cides over the long REP was directly obtained from the AGRICAN da-tabase (Leveque-Morlais et al., 2015). This was then applied to the number of farmers in France, based on the national labor force survey, to determine the proportion of the French population ever occupa-tionally exposed to pesticides. The cumulative prevalence of exposure to ionizing radiation was assessed over the long REP using the same cohort simulation as for the short REP, but over the period 1965–2005 (see note S1 detailing the method to assess cumulative occupational exposure to ionizing radiation). The same method was used to estimate prevalence of shift workers over the long REP. Finally, for the re-maining carcinogens, to take into account the exposure changes over time, the agents were categorized into three groups: (i) agents which have been used with no change since 1965, (ii) agents very little used after 2000 (e.g. asbestos, benzene), and (iii) agents where there has been a moderate decrease in use since 1965 (Table S1 of supplemental material). Based on these categories, age- and sex-specific adjustment factors were applied to the cross-sectional exposure prevalence for these agents obtained from the SUMER, CAREX and the national labor