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  • Lindane pesticides Diazinon br Malathion br SISERI database

    2020-08-28

    Lindane 2005 pesticides Diazinon
    Malathion
    SISERI database, (Institut de Radioprotection et de Sûreté Nucléaire, 2015)
    Annual reports on occupational exposure to ionizing 4152-77-6 in France  Exhaustive collection of individual radiation doses received by Ionizing radiation 1996 to 2015 workers exposed to ionizing radiation/Number of workers and mean radiation dose received for monitored workers
    Job history of 10,000 representative French persons, combined with a Asbestos 2007 job-exposure matrix/Cross-sectional and lifetime prevalence of Benzene
    exposure Silica dust
    Trichloroethylene
    Perchlorethylene
    Dichloromethane
    Leather dust
    force surveys (see Tables S1 for the detailed categories and corre-sponding adjustment factors), i.e. we multiplied the cross-sectional prevalences by the adjustment factors to get the prevalence over the long exposure period. The adjustment factors were developed based on lifetime estimates of occupational exposures from the Matgéné program (Fevotte et al., 2011) as compared to the cross-sectional prevalences from the SUMER survey (Arnaudo et al., 2006) for the agents which were ascertained in both surveys. It was assumed that these adjustment factors accounted for all factors that may influence the difference be-tween cross-sectional prevalence estimates and estimates over the long REP, including exposures changes over time. For the agents ascertained in both surveys, the actual age and sex-specific ratios between the two existing estimates were used to estimate the prevalences of exposure over the long REP. 
    2.3. Relative risk estimates
    RR estimates of developing cancer for people ever exposed to the agent compared to people never exposed were obtained from meta-analyses, large cohorts or pooled occupational studies matching French exposure data in terms of exposure levels (see the review by Marant Micallef and colleagues explaining the rationale for the selection of the RRs used (Marant Micallef et al., 2018). In cases where RR estimates were only reported for stratified levels of exposures, a fixed effects meta-analysis was performed to pool the RRs estimates (Fleiss, 1993), as this method was applicable even in the absence of exposure pre-valence. The RR estimates related to ionizing radiation were derived from the BEIRVII dose-risk models (National Research Council, 2006), based on the average years of exposure and cumulated doses for workers exposed to ionizing radiation.
    C. Marant Micallef et al. International Journal of Hygiene and Environmental Health 222 (2019) 22–29
    2.4. Estimation of the Population-Attributable Fraction Table 2
    Prevalences of exposure (%) by occupational carcinogen over short and long
    The PAFs for cancers attributable to occupational agents were es- risk exposure periods.
    timated using two methods. The PAF for the proportion of new me- Occupational exposure Prevalence (%) Prevalence (%)
    sothelioma cases attributable to asbestos was derived directly from the
    National Mesothelioma Surveillance Program: this program included a
    case-control study which was used to estimate this PAF using the
    Men Women Men Women
    Mantel-Haenszel estimation (Lacourt et al., 2014). We used the PAF
    associated with occupational exposures to asbestos only, not to para- Group 1 agents
    occupational exposures, i.e. exposures occurring indirectly from occu- 1,3-butadiene
    pational exposures (for instance, living with relatives occupationally Acid mists, strong inorganic
    Aromatic amines
    exposed to asbestos). In all other cases, the PAFs for new cancer cases
    Arsenic
    due to a particular occupational exposure were estimated using the
    Asbestos
    method proposed by Levin (Levin, 1953) (see Formula 1). Speci cally, Benzene
    fi
    this latter method combines data on the proportion of the population Beryllium and beryllium compounds
    ever exposed to occupational carcinogens (P) and the corresponding RR Bis(chloromethyl)ether
    Cadmium and cadmium compounds
    Chromium (vi) compounds
    Engine exhaust, diesel
    Ethylene oxide
    Formaldehyde
    In cases where there were multiple occupational exposures that Ionizing radiation
    Iron and steel founding
    influenced the risk of a cancer type, the exposure prevalence and/or the Leather dust
    PAFs were adjusted. Firstly, in cases where exposure to occupational Lindane
    circumstances (e.g. working in a certain profession) and to an occu- Nickel compounds
    Polycyclic aromatic hydrocarbons