Abstract

Background: To explore trends in social and occupational inequalities in terms of exposure to carcinogenic, mutagenic and reprotoxic chemicals (CMR) for French employees. Methods: Our study assessed data from the French national cross-sectional survey of occupational hazards (SUMER) that was conducted in 2003 and 2010. We included all of the 27 CMR agents that were classified by the International Agency for Research on Cancer or European Union regulations as being known or presumed to have CMR potential in humans. Trends in prevalence and degree of exposure were examined using multilevel logistic regression analysis. Results: The number of employees exposed to CMR agents decreased by 17.5% between 2003 and 2010. The only CMR entities for which exposure rates increased are not considered to be proven CMRs according to the European Union regulations. With the exception of apprentices, there was an overall decrease in exposure prevalence for all employees. This decrease occurred, however, to different extents. The decrease in the risk of exposure to CMR agents was much greater for those on permanent contracts, managers, and in enterprises with more than 500 employees. Nonetheless, in situations where there was potential for exposure, companies with fewer than 10 employees were in fact able to decrease the degree of risk more than the others. Conclusions: Our results confirm the relevance of reinforcing regulatory restrictions for CMR products, while also indicating that monitoring of trends in disparities will allow public health policy makers to better evaluate progress made toward reducing disparities that affect vulnerable populations.

Introduction

A large number of agents classified by the International Agency for Research on Cancer (IARC) as being carcinogenic or probably carcinogenic to humans, can be found in occupational settings.1 It has been estimated that 4–8.5% of all types of cancer are linked to occupational exposure. In France this amounts to a rate of 15 000–20 000 cancers annually.2–4 The role of risk factors in the workplace is however often underestimated due to uncertainty regarding threshold effects in particular,2 or due to the substantial delay between exposure and the occurrence of the disease. Consequently, it is estimated that only 15–30% of occupational cancers have been formally compensated.2,5

In light of these findings, general public health policies and specific policies for the prevention of occupational cancers have been implemented in France over the past 15 years. For example, the Occupational Health Plan 2005–09 aimed to develop knowledge regarding the risks of occupational exposure, and to strengthen the efficiency of the regulations. More recently, the Occupational Health Plan 2010–14 focused specifically on prevention of the risks of exposure to materials that have a carcinogenic, mutagenic, or reprotoxic (CMR) effect. The national Health-Environment Plan 2009–13 had the same focus of reducing occupational exposure to CMRs. A clearly stated objective of the French Cancer Plan 2009–13 was to reduce the number of employees exposed to CMR products by 100 000 in the 2009–12 timeframe. This is why it struck us as pertinent to analyse changes in exposure to CMR agents between 2003 and 2010, as well as to probe for inequalities in exposure. We wished to determine whether there was a discernible decrease in exposure to CMR products in this 7-year period. Of particular interest, if such a decrease could be confirmed, was the question whether it occurred unequally and hence to the detriment of some employees for whom the exposure may have in fact increased.

Methods

Study population

The SUMER survey is a national cross-sectional survey6–12 that is conducted periodically by the French Ministry of Labor and the French Directorate for Research, Studies and Statistics (DARES) to assess occupational risks among a representative sample of the French employee population. The survey is based on a two-level sampling involving voluntary physicians (1800 in 2003 and 2400 in 2010) who randomly selected, over a 3-month period, employees (56 345 in 2003 and 53 940 in 2010) among those who had been invited for the mandatory periodical medical check-ups. 49 984 workers in 2003 and 47 983 in 2010 consented to participate (response rate 89% for both surveys). The physicians assessed the employees’ exposure during a period of 1 week to different chemical, physical and biological agents. The occupational physician relied on both, the employee statements as well as the job description including individual and collective protections and the physician’s expertise. In case of doubt, the physician could perform a more in-depth workplace assessment. For each CMR identified, the physician assessed the exposure duration and intensity. The 2003 SUMER survey was repeated in 2010 using the same methodology to allow comparability over time. Minor differences between the two editions involved:

  • The target population covered by the SUMER survey (17.5 and 21.7 million employees representing 80% and 92% of all French employees in 2003 and 2010, respectively). We focused our analysis on workers included in both surveys, i.e. workers in the private sector and in public hospitals in metropolitan France.

  • The list of chemical agents has been extended between 2003 and 2010 based on policy advancements and substitutions undertaken by companies, as well as a result of increased knowledge on toxicities.13 Nevertheless, for the CMR agents, the difference between the two surveys is limited to the family of glycol ethers, not assessed in 2003. Overall, 27 CMR agents were identified as being common to both surveys.

Post-data collection adjustment accounted for the characteristics of occupational physicians, the periodicity of medical visits and the characteristics of non-respondents. The data were further weighted by industry sector, on gender, age, nationality, working time, occupation, company size and economic activity to ensure the representativeness of the survey samples and exposure frequencies of the target populations in 2003 and in 2010.

Ethics approval was granted by the French National Commission for Data Protection and Privacy (CNIL n° 762430 V1, 2009) and National Council on Statistical Information.

Exposure variables

The characteristics of the 27 CMR agents classified as being carcinogenic or probably carcinogenic or mutagenic to humans by the IARC (Groups 1 and 2 A) or classified as known, presumed, or suspected to have CMR potential for humans by the European Union regulations (categories 1 and 2 of the classification in effect in 2010) are shown in table 1.7,8 Our analyses examined the changes (i) in the prevalence of exposure to at least one CMR agent in the workplace (proportion of employees exposed within 1 week); (ii) in exposure duration (reported as a categorical variable: <2 h, 2–10 h, 10–20 h, ≥20 h within 1 week) and (iii) in intensity (very low, i.e. slightly higher than the general population or at the limit of detection; low, i.e. less than 50% of the short-term exposure limit (STEL) value; high, i.e. around 50% of the STEL; very high, exceeding the STEL or equal to the exposure level of the population known to be the most exposed).

Table 1

Exposure prevalence to CMR agents and its change in France between 2003 and 2010

European Union classificationaBinding occupational exposure limit values (BOELV)Applicable substitutionb20032010Rate of change in N exposed (%)
AgentsN exposed at workExposure rate per 1000 employeesN exposed at workExposure rate per 1000 employees
Diesel engine exhaustC3nono727 50441.58676 32536.85–7.03%
Mineral oilnoyes669 11338.24472 71525.75–29.35%
Wood dustC1yesno379 93021.71337 33118.38–11.21%
Crystalline silicayesno269 01215.37284 40015.50+5.72%
Formaldehyde (except resin, glue)C3noyes153 6158.78122 4506.67–20.29%
Lead and its compoundsR1yesyes129 8017.42104 9615.72–19.4%
Coal tar and coal tar pitches (included bitumen)C1noyes117 0856.6994 0505.12–19.67%
Halogenated aromatic hydrocarbons and/or aromatic nitro compoundscC2nono104 1025.9595 3795.20–8.38%
Chromium and its compounds (except stainless steel)C1 to C3, M2nono107 9786.1791 9105.01–14.88%
Nickel compoundsC1nono97 7435.5990 3994.93–7.51%
AsbestosC1yesno106 5576.0970 9133.86–33.45%
Refractory ceramic fibresC2yesyes104 0475.9573 8824.03–28.99%
Fume emission from metallurgical and electro-metallurgical processesnono92 9235.3171 3963.89–23.17%
Cobalt and its compoundsC2nono47 6352.7265 1023.55+36.67%
TrichloroethyleneC2noyes153 6238.7859 1213.22–61.52%
Aromatic aminesC1,C2noyes76 6234.3856 6583.09–26.06%
PhthalatesR2noyes33 1411.8954 5722.97+64.67%
Cytostaticsnono69 2073.9645 5482.48–34.19%
Cadmium and cadmium compoundsC2, M2–M3, R2–R3noyes27 6621.5832 9681.80+19.18%
Metallic carbidenono36 4522.0838 5842.10%+5.85%
BenzeneC1, M2yesyes47 3882.7131 6041.72–33.31%
Dimethylformamide (DMF), dimethylacetamide (DMAC)38 3952.1932 4271.77–15.55%
TetrachloroethyleneC3noyes47 3882.7128 2821.54–40.32%
AcrylamideC2, M2noyes27 8001.5925 9501.41–6.66%
Phenol-formaldehyde resin, urea-formaldehyde, melamine-formaldehydeC3noNo39,3962.2524 0911.31–38.85%
Rubber fumenono38 3412.1912 5520.68–67.26%
Arsenic and arsenic compoundsC1noyes13 8060.7968200.37–50.60%
European Union classificationaBinding occupational exposure limit values (BOELV)Applicable substitutionb20032010Rate of change in N exposed (%)
AgentsN exposed at workExposure rate per 1000 employeesN exposed at workExposure rate per 1000 employees
Diesel engine exhaustC3nono727 50441.58676 32536.85–7.03%
Mineral oilnoyes669 11338.24472 71525.75–29.35%
Wood dustC1yesno379 93021.71337 33118.38–11.21%
Crystalline silicayesno269 01215.37284 40015.50+5.72%
Formaldehyde (except resin, glue)C3noyes153 6158.78122 4506.67–20.29%
Lead and its compoundsR1yesyes129 8017.42104 9615.72–19.4%
Coal tar and coal tar pitches (included bitumen)C1noyes117 0856.6994 0505.12–19.67%
Halogenated aromatic hydrocarbons and/or aromatic nitro compoundscC2nono104 1025.9595 3795.20–8.38%
Chromium and its compounds (except stainless steel)C1 to C3, M2nono107 9786.1791 9105.01–14.88%
Nickel compoundsC1nono97 7435.5990 3994.93–7.51%
AsbestosC1yesno106 5576.0970 9133.86–33.45%
Refractory ceramic fibresC2yesyes104 0475.9573 8824.03–28.99%
Fume emission from metallurgical and electro-metallurgical processesnono92 9235.3171 3963.89–23.17%
Cobalt and its compoundsC2nono47 6352.7265 1023.55+36.67%
TrichloroethyleneC2noyes153 6238.7859 1213.22–61.52%
Aromatic aminesC1,C2noyes76 6234.3856 6583.09–26.06%
PhthalatesR2noyes33 1411.8954 5722.97+64.67%
Cytostaticsnono69 2073.9645 5482.48–34.19%
Cadmium and cadmium compoundsC2, M2–M3, R2–R3noyes27 6621.5832 9681.80+19.18%
Metallic carbidenono36 4522.0838 5842.10%+5.85%
BenzeneC1, M2yesyes47 3882.7131 6041.72–33.31%
Dimethylformamide (DMF), dimethylacetamide (DMAC)38 3952.1932 4271.77–15.55%
TetrachloroethyleneC3noyes47 3882.7128 2821.54–40.32%
AcrylamideC2, M2noyes27 8001.5925 9501.41–6.66%
Phenol-formaldehyde resin, urea-formaldehyde, melamine-formaldehydeC3noNo39,3962.2524 0911.31–38.85%
Rubber fumenono38 3412.1912 5520.68–67.26%
Arsenic and arsenic compoundsC1noyes13 8060.7968200.37–50.60%
a

The classification of carcinogenic, mutagenic and reprotoxic substances, according to the European Union (classification in effect in 2010), consists of the following categories: C1= Substances known to be carcinogenic to humans; C2= Substances which should be regarded as if they are carcinogenic to humans; C3= Substances which cause concern for humans, owing to possible carcinogenic effects but in respect of which the available information is not adequate for making a satisfactory assessment; M1 =Substances known to induce hereditary mutations in the germ cells of humans; M2= Substances of concern because they could induce hereditary mutations in the germ cells of humans; M3= Substances which cause concern for man owing to possible mutagenic effects, R1= Substances known to be toxic for human reproduction; R2= Substances suspected of being toxic for human reproduction; R3 = Substances which cause concern for human fertility.

b

In our analyses, we considered exposure situations rather than CMR agents as such. Thus, we considered current asbestos exposures as not substitutable, given that to date these mainly result from asbestos removal activities. Similarly, because a large part of diesel exhaust exposures is related to diesel vehicle maintenance and repair, we considered diesel exhaust as not substitutable.

c

This category includes several substances (chlorobenzens, chlorotoluens, bromotoluens, nitrobenzens, nitrotoluen) only few of them with a BOELV and generally not substitutable.

Table 1

Exposure prevalence to CMR agents and its change in France between 2003 and 2010

European Union classificationaBinding occupational exposure limit values (BOELV)Applicable substitutionb20032010Rate of change in N exposed (%)
AgentsN exposed at workExposure rate per 1000 employeesN exposed at workExposure rate per 1000 employees
Diesel engine exhaustC3nono727 50441.58676 32536.85–7.03%
Mineral oilnoyes669 11338.24472 71525.75–29.35%
Wood dustC1yesno379 93021.71337 33118.38–11.21%
Crystalline silicayesno269 01215.37284 40015.50+5.72%
Formaldehyde (except resin, glue)C3noyes153 6158.78122 4506.67–20.29%
Lead and its compoundsR1yesyes129 8017.42104 9615.72–19.4%
Coal tar and coal tar pitches (included bitumen)C1noyes117 0856.6994 0505.12–19.67%
Halogenated aromatic hydrocarbons and/or aromatic nitro compoundscC2nono104 1025.9595 3795.20–8.38%
Chromium and its compounds (except stainless steel)C1 to C3, M2nono107 9786.1791 9105.01–14.88%
Nickel compoundsC1nono97 7435.5990 3994.93–7.51%
AsbestosC1yesno106 5576.0970 9133.86–33.45%
Refractory ceramic fibresC2yesyes104 0475.9573 8824.03–28.99%
Fume emission from metallurgical and electro-metallurgical processesnono92 9235.3171 3963.89–23.17%
Cobalt and its compoundsC2nono47 6352.7265 1023.55+36.67%
TrichloroethyleneC2noyes153 6238.7859 1213.22–61.52%
Aromatic aminesC1,C2noyes76 6234.3856 6583.09–26.06%
PhthalatesR2noyes33 1411.8954 5722.97+64.67%
Cytostaticsnono69 2073.9645 5482.48–34.19%
Cadmium and cadmium compoundsC2, M2–M3, R2–R3noyes27 6621.5832 9681.80+19.18%
Metallic carbidenono36 4522.0838 5842.10%+5.85%
BenzeneC1, M2yesyes47 3882.7131 6041.72–33.31%
Dimethylformamide (DMF), dimethylacetamide (DMAC)38 3952.1932 4271.77–15.55%
TetrachloroethyleneC3noyes47 3882.7128 2821.54–40.32%
AcrylamideC2, M2noyes27 8001.5925 9501.41–6.66%
Phenol-formaldehyde resin, urea-formaldehyde, melamine-formaldehydeC3noNo39,3962.2524 0911.31–38.85%
Rubber fumenono38 3412.1912 5520.68–67.26%
Arsenic and arsenic compoundsC1noyes13 8060.7968200.37–50.60%
European Union classificationaBinding occupational exposure limit values (BOELV)Applicable substitutionb20032010Rate of change in N exposed (%)
AgentsN exposed at workExposure rate per 1000 employeesN exposed at workExposure rate per 1000 employees
Diesel engine exhaustC3nono727 50441.58676 32536.85–7.03%
Mineral oilnoyes669 11338.24472 71525.75–29.35%
Wood dustC1yesno379 93021.71337 33118.38–11.21%
Crystalline silicayesno269 01215.37284 40015.50+5.72%
Formaldehyde (except resin, glue)C3noyes153 6158.78122 4506.67–20.29%
Lead and its compoundsR1yesyes129 8017.42104 9615.72–19.4%
Coal tar and coal tar pitches (included bitumen)C1noyes117 0856.6994 0505.12–19.67%
Halogenated aromatic hydrocarbons and/or aromatic nitro compoundscC2nono104 1025.9595 3795.20–8.38%
Chromium and its compounds (except stainless steel)C1 to C3, M2nono107 9786.1791 9105.01–14.88%
Nickel compoundsC1nono97 7435.5990 3994.93–7.51%
AsbestosC1yesno106 5576.0970 9133.86–33.45%
Refractory ceramic fibresC2yesyes104 0475.9573 8824.03–28.99%
Fume emission from metallurgical and electro-metallurgical processesnono92 9235.3171 3963.89–23.17%
Cobalt and its compoundsC2nono47 6352.7265 1023.55+36.67%
TrichloroethyleneC2noyes153 6238.7859 1213.22–61.52%
Aromatic aminesC1,C2noyes76 6234.3856 6583.09–26.06%
PhthalatesR2noyes33 1411.8954 5722.97+64.67%
Cytostaticsnono69 2073.9645 5482.48–34.19%
Cadmium and cadmium compoundsC2, M2–M3, R2–R3noyes27 6621.5832 9681.80+19.18%
Metallic carbidenono36 4522.0838 5842.10%+5.85%
BenzeneC1, M2yesyes47 3882.7131 6041.72–33.31%
Dimethylformamide (DMF), dimethylacetamide (DMAC)38 3952.1932 4271.77–15.55%
TetrachloroethyleneC3noyes47 3882.7128 2821.54–40.32%
AcrylamideC2, M2noyes27 8001.5925 9501.41–6.66%
Phenol-formaldehyde resin, urea-formaldehyde, melamine-formaldehydeC3noNo39,3962.2524 0911.31–38.85%
Rubber fumenono38 3412.1912 5520.68–67.26%
Arsenic and arsenic compoundsC1noyes13 8060.7968200.37–50.60%
a

The classification of carcinogenic, mutagenic and reprotoxic substances, according to the European Union (classification in effect in 2010), consists of the following categories: C1= Substances known to be carcinogenic to humans; C2= Substances which should be regarded as if they are carcinogenic to humans; C3= Substances which cause concern for humans, owing to possible carcinogenic effects but in respect of which the available information is not adequate for making a satisfactory assessment; M1 =Substances known to induce hereditary mutations in the germ cells of humans; M2= Substances of concern because they could induce hereditary mutations in the germ cells of humans; M3= Substances which cause concern for man owing to possible mutagenic effects, R1= Substances known to be toxic for human reproduction; R2= Substances suspected of being toxic for human reproduction; R3 = Substances which cause concern for human fertility.

b

In our analyses, we considered exposure situations rather than CMR agents as such. Thus, we considered current asbestos exposures as not substitutable, given that to date these mainly result from asbestos removal activities. Similarly, because a large part of diesel exhaust exposures is related to diesel vehicle maintenance and repair, we considered diesel exhaust as not substitutable.

c

This category includes several substances (chlorobenzens, chlorotoluens, bromotoluens, nitrobenzens, nitrotoluen) only few of them with a BOELV and generally not substitutable.

Additionally, a summary indicator of the degree of exposure, which combined the intensity and duration of exposure, was created. It was a dichotomous variable equal to 1 if the exposure was considered to be strong (a strong or very strong intensity or a slow intensity with duration > 2 h, or a very low intensity with duration > 10 h within the previous week) and 0 otherwise.9

Statistical methods

Descriptive statistics were used to examine trends in the prevalence, duration, intensity and degree of exposure to CMR agents. Moreover, the exposure prevalence was studied using a logistic regression with random effects14–16 against a reference group of workers who were not exposed to CMR. The economic activity of the company was modeled with a random intercept to account for heterogeneity in the exposure probability at a sufficiently disaggregated level. The degree of exposure was studied by a logistic regression with random effects. Heterogeneity in exposure degree between the 27 identified CMR agents was taken into account by a random intercept.

The covariates included were four variables describing employee characteristics (age, gender, occupation and seniority), four variables related to job characteristics (employment contract, work hours, work schedules and main occupational duties) and four company characteristics (company size; geographical location; presence of a committee for health, safety, and work conditions (CHSCT); and economic activity of the company). CMR agents in the SUMER database were further classified using the following criteria (table 1): (1) whether a CMR agent is classified Category 1 or Category 2 by the European Union (2) whether a Binding Occupational Exposure Limit Value (BOELV) was in place for a CMR agent before 2010 and ‘0’ otherwise and (3) whether CMR agents were substitutable, based on their principal use, information provided by the French National Institute for Research, Occupational Safety and Health (www.inrs.fr); and by the French Agency for Food, Environmental and Occupational Health & Safety (www.substitution-cmr.fr). A dichotomous variable identifying the edition of the SUMER survey and interactions terms between explanatory variables and this dichotomous variable were introduced in the two models. Statistical analyses were conducted using STATA version 13.1 (StataCorp, College Station, TX).

Results

A decrease in exposure between 2003 and 2010

Table 2 presents the overall changes in exposure prevalence, duration, and intensity to CMR agents between 2003 and 2010. The proportion of employees exposed to at least one chemical CMR decreased from 13.7% in 2003–10.6% in 2010. The decrease was more pronounced for products classified as being category 1 by the IARC and for products classified as being category 1 or 2 by the European regulations. However, the duration of exposure and the intensity for CMRs were only slightly reduced.

Table 2

Evolution of exposure prevalence, duration and intensity to CMR agents in France between 2003 and 2010

Substance20032010Rate of change in N exposed
N of employees exposed at workExposure rateN of employees exposed at workExposure rate
Prevalence of exposure to:
    Carcinogenic agent2 401 27713.7%1 943 03810.6%–19,1%
        according to European Union (group 1 and 2)1 080 9746.2%841 5424.6%–22,1%
        according to IARC (group 1 and 2A)2 111 49712.1%1 905 77910.4%–9,7%
        according to IARC (group 1)2 255 70012.9%1 829 72110.0%–18,9%
    Mutagenic agent191 0771.1%166 5610.9%–12,8%
    Reprotoxic agent204 4341.2%197 4481.1%–3,4%
    Carcinogenic, mutagenic and reprotoxic (CMR) agent2 423 66713.9%1 998 69410.9%–17,5%
N of situations exposures%N of situations exposures%Rate of change
Exposure duration to CMR agent
    <2 h1 726 23346.0%1 450 05047.3%–16.0%
    2–10 [h]1 005 82926.8%828 01627.0%–17.7%
    10–20 [h]308 2638.2%229 9767.5%–25.4%
    ≥20 h659 85717.6%462 44715.1%–29.9%
    Undeclared56 0851.5%97 8393.2%74.4%
Intensity of exposure to CMR
    Very low1 376 81936.7%1 190 15938.8%–13.6%
    Low, less than 50% of the STEL value1 383 16036.8%1 014 50733.1%–26.7%
    High, around 50% of the STEL469 74012.5%252 2248.2%–46.3%
    Very high, exceeding the STEL74 6732.0%44 0091.4%–41.1%
    Unknown451 87612.0%567 42918.5%25.6%
Substance20032010Rate of change in N exposed
N of employees exposed at workExposure rateN of employees exposed at workExposure rate
Prevalence of exposure to:
    Carcinogenic agent2 401 27713.7%1 943 03810.6%–19,1%
        according to European Union (group 1 and 2)1 080 9746.2%841 5424.6%–22,1%
        according to IARC (group 1 and 2A)2 111 49712.1%1 905 77910.4%–9,7%
        according to IARC (group 1)2 255 70012.9%1 829 72110.0%–18,9%
    Mutagenic agent191 0771.1%166 5610.9%–12,8%
    Reprotoxic agent204 4341.2%197 4481.1%–3,4%
    Carcinogenic, mutagenic and reprotoxic (CMR) agent2 423 66713.9%1 998 69410.9%–17,5%
N of situations exposures%N of situations exposures%Rate of change
Exposure duration to CMR agent
    <2 h1 726 23346.0%1 450 05047.3%–16.0%
    2–10 [h]1 005 82926.8%828 01627.0%–17.7%
    10–20 [h]308 2638.2%229 9767.5%–25.4%
    ≥20 h659 85717.6%462 44715.1%–29.9%
    Undeclared56 0851.5%97 8393.2%74.4%
Intensity of exposure to CMR
    Very low1 376 81936.7%1 190 15938.8%–13.6%
    Low, less than 50% of the STEL value1 383 16036.8%1 014 50733.1%–26.7%
    High, around 50% of the STEL469 74012.5%252 2248.2%–46.3%
    Very high, exceeding the STEL74 6732.0%44 0091.4%–41.1%
    Unknown451 87612.0%567 42918.5%25.6%
Table 2

Evolution of exposure prevalence, duration and intensity to CMR agents in France between 2003 and 2010

Substance20032010Rate of change in N exposed
N of employees exposed at workExposure rateN of employees exposed at workExposure rate
Prevalence of exposure to:
    Carcinogenic agent2 401 27713.7%1 943 03810.6%–19,1%
        according to European Union (group 1 and 2)1 080 9746.2%841 5424.6%–22,1%
        according to IARC (group 1 and 2A)2 111 49712.1%1 905 77910.4%–9,7%
        according to IARC (group 1)2 255 70012.9%1 829 72110.0%–18,9%
    Mutagenic agent191 0771.1%166 5610.9%–12,8%
    Reprotoxic agent204 4341.2%197 4481.1%–3,4%
    Carcinogenic, mutagenic and reprotoxic (CMR) agent2 423 66713.9%1 998 69410.9%–17,5%
N of situations exposures%N of situations exposures%Rate of change
Exposure duration to CMR agent
    <2 h1 726 23346.0%1 450 05047.3%–16.0%
    2–10 [h]1 005 82926.8%828 01627.0%–17.7%
    10–20 [h]308 2638.2%229 9767.5%–25.4%
    ≥20 h659 85717.6%462 44715.1%–29.9%
    Undeclared56 0851.5%97 8393.2%74.4%
Intensity of exposure to CMR
    Very low1 376 81936.7%1 190 15938.8%–13.6%
    Low, less than 50% of the STEL value1 383 16036.8%1 014 50733.1%–26.7%
    High, around 50% of the STEL469 74012.5%252 2248.2%–46.3%
    Very high, exceeding the STEL74 6732.0%44 0091.4%–41.1%
    Unknown451 87612.0%567 42918.5%25.6%
Substance20032010Rate of change in N exposed
N of employees exposed at workExposure rateN of employees exposed at workExposure rate
Prevalence of exposure to:
    Carcinogenic agent2 401 27713.7%1 943 03810.6%–19,1%
        according to European Union (group 1 and 2)1 080 9746.2%841 5424.6%–22,1%
        according to IARC (group 1 and 2A)2 111 49712.1%1 905 77910.4%–9,7%
        according to IARC (group 1)2 255 70012.9%1 829 72110.0%–18,9%
    Mutagenic agent191 0771.1%166 5610.9%–12,8%
    Reprotoxic agent204 4341.2%197 4481.1%–3,4%
    Carcinogenic, mutagenic and reprotoxic (CMR) agent2 423 66713.9%1 998 69410.9%–17,5%
N of situations exposures%N of situations exposures%Rate of change
Exposure duration to CMR agent
    <2 h1 726 23346.0%1 450 05047.3%–16.0%
    2–10 [h]1 005 82926.8%828 01627.0%–17.7%
    10–20 [h]308 2638.2%229 9767.5%–25.4%
    ≥20 h659 85717.6%462 44715.1%–29.9%
    Undeclared56 0851.5%97 8393.2%74.4%
Intensity of exposure to CMR
    Very low1 376 81936.7%1 190 15938.8%–13.6%
    Low, less than 50% of the STEL value1 383 16036.8%1 014 50733.1%–26.7%
    High, around 50% of the STEL469 74012.5%252 2248.2%–46.3%
    Very high, exceeding the STEL74 6732.0%44 0091.4%–41.1%
    Unknown451 87612.0%567 42918.5%25.6%

Table 1 details the product by product changes in exposures between 2003 and 2010. The number of exposed employees decreased for all CMR agents, with the exception of phthalates, cobalt, cadmium in its various forms, metallic carbides and crystalline silica. Agents with the most pronounced decreases in exposure were rubber fumes (–67%); the three solvents benzene (–33%), tetrachloroethylene (–40%) and trichloroethylene (–62%) even though their exposure durations in the previous week and exposure intensities remained stable; and to asbestos (–33%), which has been banned since 1997 in France.

Changes in exposure inequalities

Table 3 provides descriptive statistics of the prevalence, duration, intensity and degree of exposure to CMR agents according to various employee and job characteristics. An overall decrease in exposure to CMR agents occurred for all employee categories, with the exception of apprentices. Already in 2003, apprentices were by far the most exposed category of employees. It can also be seen that the decrease in exposure to CMR agents did not occur in a homogeneous manner for all employees. For example, the decrease was particularly pronounced in companies with more than 500 employees, while it was more limited in those with fewer than 10 employees. The decrease in the degree of exposure did not apply to non-skilled workers; temporary workers; employees engaged in handling, storage, and logistics; and employees between 46 and 60 years of age. Contrary to the other categories, these employees underwent a substantial increase in the proportion of employees exposed with a strong exposure between 2003 and 2010. Yet unskilled workers represented the socio-professional category with the most pronounced decrease in the exposure prevalence. Similarly, the proportion of exposed employees importantly decreased for the 56–60 year old age categories.

Table 3

Trends in the prevalence, duration and intensity of exposure to CMR agents (descriptive statistics)

Prevalence of exposureExposure <2 hVery low intensityaStrong degreeb
20032010200320102003201020032010
Gender
    Men20.87%17.09%45.20%46.52%31.56%37.28%42.98%38.19%
    Women4.49%3.99%51.31%50.34%40.32%53.56%41.23%29.32%
Age
    15–20 years22.27%17.93%41.09%39.39%22.66%30.61%51.08%42.60%
    21–25 years15.21%15.67%42.30%52.28%28.74%33.23%43.59%34.32%
    26–30 years13.81%11.70%44.78%51.25%33.63%44.02%40.71%33.72%
    31–35 years13.73%10.66%47.07%45.57%31.91%46.15%44.85%36.37%
    36–40 years13.96%9.49%44.50%49.21%32.93%39.79%43.16%34.60%
    41–45 years13.33%11.28%48.26%42.91%33.54%43.41%43.45%36.73%
    46–50 years12.97%10.47%46.72%42.97%34.27%34.84%40.41%41.75%
    51–55 years12.76%8.97%49.02%45.02%35.34%39.11%40.73%41.06%
    56–60 years13.63%6.83%48.75%46.47%36.75%39.06%40.35%42.07%
    More than 60 years7.56%5.80%41.79%50.26%31.84%42.41%48.88%30.54%
Job seniority
    <1 year11.01%7.93%41.30%45.46%25.43%41.80%46.23%31.50%
    1 to 3 years13.31%11.79%44.33%43.82%31.93%31.52%42.73%40.30%
    4 to 9 years13.78%11.80%46.38%52.70%32.33%42.55%41.86%33.72%
    10 years or more14.87%10.71%47.27%42.31%34.33%39.37%42.86%40.82%
Employment contract
    Civils servants, workers with specific statusc8.25%7.88%65.14%54.20%48.60%55.24%31.37%28.39%
    Apprentices22.45%27.18%44.09%40.05%27.21%23.43%45.59%44.72%
    Agency workers15.50%14.59%33.25%28.56%26.84%24.04%45.61%47.13%
    Fixed term contract, seasonal and occasional worker9.80%7.17%56.28%54.79%32.64%39.43%42.75%37.09%
    Undetermined contract14.18%11.05%45.60%47.25%32.64%39.43%42.75%37.09%
Working hours
    Full-time15.37%12.70%45.72%46.71%32.59%38.12%42.89%37.59%
    Part-time4.80%3.96%51.21%50.52%33.99%54.15%39.93%30.91%
Shift work
    No12.39%10.01%38.64%48.12%29.89%39.01%47.66%35.82%
    Yes22.28%15.66%48.08%43.30%33.45%40.36%41.35%42.35%
Night work
    No12.78%10.11%46.90%46.62%32.27%38.79%44.22%37.09%
    Yes17.63%15.84%45.56%48.16%32.81%40.48%42.16%37.34%
Sunday working
    No14.91%11.89%43.93%45.52%32.37%36.92%43.18%38.52%
    Yes14.55%8.31%51.19%50.86%33.37%45.10%41.70%33.37%
Occupational statusd
    Professionals, managers3.42%2.22%76.00%68.36%42.25%56.92%27.51%14.49%
    Technicians and associate professionals11.38%7.26%56.21%55.06%41.58%40.52%38.28%29.96%
    Clerks1.32%1.76%53.71%33.12%29.79%68.76%47.48%51.57%
    Services workers5.17%4.18%42.84%44.69%33.81%53.39%43.95%30.21%
    Skilled blue-collar workers31.57%28.72%41.02%47.37%29.62%39.43%44.60%37.80%
    Unskilled blue-collar workers and agricultural workers23.33%19.35%41.46%37.62%28.19%29.28%45.64%46.23%
Main function
    Production, manufacturing and construction29.10%26.10%38.79%42.05%29.55%35.28%45.76%41.56%
    Installation, repair and maintenance43.91%38.22%50.44%51.52%30.25%35.58%41.32%35.82%
    Cleaning, child care and home management5.47%3.37%37.26%47.66%29.03%48.94%51.12%34.61%
    Handling, logistics and warehousing10.64%7.49%43.93%37.82%41.89%41.12%42.67%45.36%
    Administrative secretary, typing, receptionist1.97%0.79%49.75%45.84%36.20%39.25%42.23%33.12%
    Management and accounting1.18%0.66%60.74%79.19%32.43%54.95%38.44%20.28%
    Commerce and sale, marketing3.88%3.01%47.19%45.20%34.11%60.85%42.97%21.32%
    Engineering, research and development (R&D) activities6.34%4.18%72.20%73.86%54.95%57.00%26.77%16.72%
    Others7.38%5.65%63.42%50.97%43.82%54.94%36.36%30.23%
Presence of committee for health, safety and working conditions
    No14.49%12.54%44.63%47.64%29.59%36.93%44.06%36.11%
    Yes13.25%9.58%47.44%47.45%35.71%43.26%41.97%38.16%
Company size
    1 to 9 employees15.11%13.66%47.28%50.22%29.29%39.03%43.27%31.83%
    10 to 49 employees13.81%10.46%45.78%45.11%30.56%35.29%42.67%39.12%
    50 to 199 employees12.41%10.47%42.88%40.08%34.54%33.64%43.32%42.15%
    200 to 499 employees12.34%9.78%41.16%50.13%30.18%38.57%42.91%39.88%
    500 or more employees14.98%9.50%50.55%51.89%40.78%57.84%41.39%34.16%
Prevalence of exposureExposure <2 hVery low intensityaStrong degreeb
20032010200320102003201020032010
Gender
    Men20.87%17.09%45.20%46.52%31.56%37.28%42.98%38.19%
    Women4.49%3.99%51.31%50.34%40.32%53.56%41.23%29.32%
Age
    15–20 years22.27%17.93%41.09%39.39%22.66%30.61%51.08%42.60%
    21–25 years15.21%15.67%42.30%52.28%28.74%33.23%43.59%34.32%
    26–30 years13.81%11.70%44.78%51.25%33.63%44.02%40.71%33.72%
    31–35 years13.73%10.66%47.07%45.57%31.91%46.15%44.85%36.37%
    36–40 years13.96%9.49%44.50%49.21%32.93%39.79%43.16%34.60%
    41–45 years13.33%11.28%48.26%42.91%33.54%43.41%43.45%36.73%
    46–50 years12.97%10.47%46.72%42.97%34.27%34.84%40.41%41.75%
    51–55 years12.76%8.97%49.02%45.02%35.34%39.11%40.73%41.06%
    56–60 years13.63%6.83%48.75%46.47%36.75%39.06%40.35%42.07%
    More than 60 years7.56%5.80%41.79%50.26%31.84%42.41%48.88%30.54%
Job seniority
    <1 year11.01%7.93%41.30%45.46%25.43%41.80%46.23%31.50%
    1 to 3 years13.31%11.79%44.33%43.82%31.93%31.52%42.73%40.30%
    4 to 9 years13.78%11.80%46.38%52.70%32.33%42.55%41.86%33.72%
    10 years or more14.87%10.71%47.27%42.31%34.33%39.37%42.86%40.82%
Employment contract
    Civils servants, workers with specific statusc8.25%7.88%65.14%54.20%48.60%55.24%31.37%28.39%
    Apprentices22.45%27.18%44.09%40.05%27.21%23.43%45.59%44.72%
    Agency workers15.50%14.59%33.25%28.56%26.84%24.04%45.61%47.13%
    Fixed term contract, seasonal and occasional worker9.80%7.17%56.28%54.79%32.64%39.43%42.75%37.09%
    Undetermined contract14.18%11.05%45.60%47.25%32.64%39.43%42.75%37.09%
Working hours
    Full-time15.37%12.70%45.72%46.71%32.59%38.12%42.89%37.59%
    Part-time4.80%3.96%51.21%50.52%33.99%54.15%39.93%30.91%
Shift work
    No12.39%10.01%38.64%48.12%29.89%39.01%47.66%35.82%
    Yes22.28%15.66%48.08%43.30%33.45%40.36%41.35%42.35%
Night work
    No12.78%10.11%46.90%46.62%32.27%38.79%44.22%37.09%
    Yes17.63%15.84%45.56%48.16%32.81%40.48%42.16%37.34%
Sunday working
    No14.91%11.89%43.93%45.52%32.37%36.92%43.18%38.52%
    Yes14.55%8.31%51.19%50.86%33.37%45.10%41.70%33.37%
Occupational statusd
    Professionals, managers3.42%2.22%76.00%68.36%42.25%56.92%27.51%14.49%
    Technicians and associate professionals11.38%7.26%56.21%55.06%41.58%40.52%38.28%29.96%
    Clerks1.32%1.76%53.71%33.12%29.79%68.76%47.48%51.57%
    Services workers5.17%4.18%42.84%44.69%33.81%53.39%43.95%30.21%
    Skilled blue-collar workers31.57%28.72%41.02%47.37%29.62%39.43%44.60%37.80%
    Unskilled blue-collar workers and agricultural workers23.33%19.35%41.46%37.62%28.19%29.28%45.64%46.23%
Main function
    Production, manufacturing and construction29.10%26.10%38.79%42.05%29.55%35.28%45.76%41.56%
    Installation, repair and maintenance43.91%38.22%50.44%51.52%30.25%35.58%41.32%35.82%
    Cleaning, child care and home management5.47%3.37%37.26%47.66%29.03%48.94%51.12%34.61%
    Handling, logistics and warehousing10.64%7.49%43.93%37.82%41.89%41.12%42.67%45.36%
    Administrative secretary, typing, receptionist1.97%0.79%49.75%45.84%36.20%39.25%42.23%33.12%
    Management and accounting1.18%0.66%60.74%79.19%32.43%54.95%38.44%20.28%
    Commerce and sale, marketing3.88%3.01%47.19%45.20%34.11%60.85%42.97%21.32%
    Engineering, research and development (R&D) activities6.34%4.18%72.20%73.86%54.95%57.00%26.77%16.72%
    Others7.38%5.65%63.42%50.97%43.82%54.94%36.36%30.23%
Presence of committee for health, safety and working conditions
    No14.49%12.54%44.63%47.64%29.59%36.93%44.06%36.11%
    Yes13.25%9.58%47.44%47.45%35.71%43.26%41.97%38.16%
Company size
    1 to 9 employees15.11%13.66%47.28%50.22%29.29%39.03%43.27%31.83%
    10 to 49 employees13.81%10.46%45.78%45.11%30.56%35.29%42.67%39.12%
    50 to 199 employees12.41%10.47%42.88%40.08%34.54%33.64%43.32%42.15%
    200 to 499 employees12.34%9.78%41.16%50.13%30.18%38.57%42.91%39.88%
    500 or more employees14.98%9.50%50.55%51.89%40.78%57.84%41.39%34.16%
a

Very low intensity: slightly higher than the general population or at the limit of detection.

b

A Strong degree exposure is defined by a strong or very strong intensity or a slow intensity with duration > 2 h, or a very low intensity with duration > 10 h.

c

Workers with specific status are employees working in government-owned or controlled corporations and who enjoy a special status [SNCF (national railways), the RATP (Parisian transport), the electrical and gas companies (EDF and GDF), etc.

d

Respondent’s occupation, regrouped into six categories using the French classification of occupations and socio-professional categories (PCS); close to the International Standard Classification of Occupations (ISCO)].

Table 3

Trends in the prevalence, duration and intensity of exposure to CMR agents (descriptive statistics)

Prevalence of exposureExposure <2 hVery low intensityaStrong degreeb
20032010200320102003201020032010
Gender
    Men20.87%17.09%45.20%46.52%31.56%37.28%42.98%38.19%
    Women4.49%3.99%51.31%50.34%40.32%53.56%41.23%29.32%
Age
    15–20 years22.27%17.93%41.09%39.39%22.66%30.61%51.08%42.60%
    21–25 years15.21%15.67%42.30%52.28%28.74%33.23%43.59%34.32%
    26–30 years13.81%11.70%44.78%51.25%33.63%44.02%40.71%33.72%
    31–35 years13.73%10.66%47.07%45.57%31.91%46.15%44.85%36.37%
    36–40 years13.96%9.49%44.50%49.21%32.93%39.79%43.16%34.60%
    41–45 years13.33%11.28%48.26%42.91%33.54%43.41%43.45%36.73%
    46–50 years12.97%10.47%46.72%42.97%34.27%34.84%40.41%41.75%
    51–55 years12.76%8.97%49.02%45.02%35.34%39.11%40.73%41.06%
    56–60 years13.63%6.83%48.75%46.47%36.75%39.06%40.35%42.07%
    More than 60 years7.56%5.80%41.79%50.26%31.84%42.41%48.88%30.54%
Job seniority
    <1 year11.01%7.93%41.30%45.46%25.43%41.80%46.23%31.50%
    1 to 3 years13.31%11.79%44.33%43.82%31.93%31.52%42.73%40.30%
    4 to 9 years13.78%11.80%46.38%52.70%32.33%42.55%41.86%33.72%
    10 years or more14.87%10.71%47.27%42.31%34.33%39.37%42.86%40.82%
Employment contract
    Civils servants, workers with specific statusc8.25%7.88%65.14%54.20%48.60%55.24%31.37%28.39%
    Apprentices22.45%27.18%44.09%40.05%27.21%23.43%45.59%44.72%
    Agency workers15.50%14.59%33.25%28.56%26.84%24.04%45.61%47.13%
    Fixed term contract, seasonal and occasional worker9.80%7.17%56.28%54.79%32.64%39.43%42.75%37.09%
    Undetermined contract14.18%11.05%45.60%47.25%32.64%39.43%42.75%37.09%
Working hours
    Full-time15.37%12.70%45.72%46.71%32.59%38.12%42.89%37.59%
    Part-time4.80%3.96%51.21%50.52%33.99%54.15%39.93%30.91%
Shift work
    No12.39%10.01%38.64%48.12%29.89%39.01%47.66%35.82%
    Yes22.28%15.66%48.08%43.30%33.45%40.36%41.35%42.35%
Night work
    No12.78%10.11%46.90%46.62%32.27%38.79%44.22%37.09%
    Yes17.63%15.84%45.56%48.16%32.81%40.48%42.16%37.34%
Sunday working
    No14.91%11.89%43.93%45.52%32.37%36.92%43.18%38.52%
    Yes14.55%8.31%51.19%50.86%33.37%45.10%41.70%33.37%
Occupational statusd
    Professionals, managers3.42%2.22%76.00%68.36%42.25%56.92%27.51%14.49%
    Technicians and associate professionals11.38%7.26%56.21%55.06%41.58%40.52%38.28%29.96%
    Clerks1.32%1.76%53.71%33.12%29.79%68.76%47.48%51.57%
    Services workers5.17%4.18%42.84%44.69%33.81%53.39%43.95%30.21%
    Skilled blue-collar workers31.57%28.72%41.02%47.37%29.62%39.43%44.60%37.80%
    Unskilled blue-collar workers and agricultural workers23.33%19.35%41.46%37.62%28.19%29.28%45.64%46.23%
Main function
    Production, manufacturing and construction29.10%26.10%38.79%42.05%29.55%35.28%45.76%41.56%
    Installation, repair and maintenance43.91%38.22%50.44%51.52%30.25%35.58%41.32%35.82%
    Cleaning, child care and home management5.47%3.37%37.26%47.66%29.03%48.94%51.12%34.61%
    Handling, logistics and warehousing10.64%7.49%43.93%37.82%41.89%41.12%42.67%45.36%
    Administrative secretary, typing, receptionist1.97%0.79%49.75%45.84%36.20%39.25%42.23%33.12%
    Management and accounting1.18%0.66%60.74%79.19%32.43%54.95%38.44%20.28%
    Commerce and sale, marketing3.88%3.01%47.19%45.20%34.11%60.85%42.97%21.32%
    Engineering, research and development (R&D) activities6.34%4.18%72.20%73.86%54.95%57.00%26.77%16.72%
    Others7.38%5.65%63.42%50.97%43.82%54.94%36.36%30.23%
Presence of committee for health, safety and working conditions
    No14.49%12.54%44.63%47.64%29.59%36.93%44.06%36.11%
    Yes13.25%9.58%47.44%47.45%35.71%43.26%41.97%38.16%
Company size
    1 to 9 employees15.11%13.66%47.28%50.22%29.29%39.03%43.27%31.83%
    10 to 49 employees13.81%10.46%45.78%45.11%30.56%35.29%42.67%39.12%
    50 to 199 employees12.41%10.47%42.88%40.08%34.54%33.64%43.32%42.15%
    200 to 499 employees12.34%9.78%41.16%50.13%30.18%38.57%42.91%39.88%
    500 or more employees14.98%9.50%50.55%51.89%40.78%57.84%41.39%34.16%
Prevalence of exposureExposure <2 hVery low intensityaStrong degreeb
20032010200320102003201020032010
Gender
    Men20.87%17.09%45.20%46.52%31.56%37.28%42.98%38.19%
    Women4.49%3.99%51.31%50.34%40.32%53.56%41.23%29.32%
Age
    15–20 years22.27%17.93%41.09%39.39%22.66%30.61%51.08%42.60%
    21–25 years15.21%15.67%42.30%52.28%28.74%33.23%43.59%34.32%
    26–30 years13.81%11.70%44.78%51.25%33.63%44.02%40.71%33.72%
    31–35 years13.73%10.66%47.07%45.57%31.91%46.15%44.85%36.37%
    36–40 years13.96%9.49%44.50%49.21%32.93%39.79%43.16%34.60%
    41–45 years13.33%11.28%48.26%42.91%33.54%43.41%43.45%36.73%
    46–50 years12.97%10.47%46.72%42.97%34.27%34.84%40.41%41.75%
    51–55 years12.76%8.97%49.02%45.02%35.34%39.11%40.73%41.06%
    56–60 years13.63%6.83%48.75%46.47%36.75%39.06%40.35%42.07%
    More than 60 years7.56%5.80%41.79%50.26%31.84%42.41%48.88%30.54%
Job seniority
    <1 year11.01%7.93%41.30%45.46%25.43%41.80%46.23%31.50%
    1 to 3 years13.31%11.79%44.33%43.82%31.93%31.52%42.73%40.30%
    4 to 9 years13.78%11.80%46.38%52.70%32.33%42.55%41.86%33.72%
    10 years or more14.87%10.71%47.27%42.31%34.33%39.37%42.86%40.82%
Employment contract
    Civils servants, workers with specific statusc8.25%7.88%65.14%54.20%48.60%55.24%31.37%28.39%
    Apprentices22.45%27.18%44.09%40.05%27.21%23.43%45.59%44.72%
    Agency workers15.50%14.59%33.25%28.56%26.84%24.04%45.61%47.13%
    Fixed term contract, seasonal and occasional worker9.80%7.17%56.28%54.79%32.64%39.43%42.75%37.09%
    Undetermined contract14.18%11.05%45.60%47.25%32.64%39.43%42.75%37.09%
Working hours
    Full-time15.37%12.70%45.72%46.71%32.59%38.12%42.89%37.59%
    Part-time4.80%3.96%51.21%50.52%33.99%54.15%39.93%30.91%
Shift work
    No12.39%10.01%38.64%48.12%29.89%39.01%47.66%35.82%
    Yes22.28%15.66%48.08%43.30%33.45%40.36%41.35%42.35%
Night work
    No12.78%10.11%46.90%46.62%32.27%38.79%44.22%37.09%
    Yes17.63%15.84%45.56%48.16%32.81%40.48%42.16%37.34%
Sunday working
    No14.91%11.89%43.93%45.52%32.37%36.92%43.18%38.52%
    Yes14.55%8.31%51.19%50.86%33.37%45.10%41.70%33.37%
Occupational statusd
    Professionals, managers3.42%2.22%76.00%68.36%42.25%56.92%27.51%14.49%
    Technicians and associate professionals11.38%7.26%56.21%55.06%41.58%40.52%38.28%29.96%
    Clerks1.32%1.76%53.71%33.12%29.79%68.76%47.48%51.57%
    Services workers5.17%4.18%42.84%44.69%33.81%53.39%43.95%30.21%
    Skilled blue-collar workers31.57%28.72%41.02%47.37%29.62%39.43%44.60%37.80%
    Unskilled blue-collar workers and agricultural workers23.33%19.35%41.46%37.62%28.19%29.28%45.64%46.23%
Main function
    Production, manufacturing and construction29.10%26.10%38.79%42.05%29.55%35.28%45.76%41.56%
    Installation, repair and maintenance43.91%38.22%50.44%51.52%30.25%35.58%41.32%35.82%
    Cleaning, child care and home management5.47%3.37%37.26%47.66%29.03%48.94%51.12%34.61%
    Handling, logistics and warehousing10.64%7.49%43.93%37.82%41.89%41.12%42.67%45.36%
    Administrative secretary, typing, receptionist1.97%0.79%49.75%45.84%36.20%39.25%42.23%33.12%
    Management and accounting1.18%0.66%60.74%79.19%32.43%54.95%38.44%20.28%
    Commerce and sale, marketing3.88%3.01%47.19%45.20%34.11%60.85%42.97%21.32%
    Engineering, research and development (R&D) activities6.34%4.18%72.20%73.86%54.95%57.00%26.77%16.72%
    Others7.38%5.65%63.42%50.97%43.82%54.94%36.36%30.23%
Presence of committee for health, safety and working conditions
    No14.49%12.54%44.63%47.64%29.59%36.93%44.06%36.11%
    Yes13.25%9.58%47.44%47.45%35.71%43.26%41.97%38.16%
Company size
    1 to 9 employees15.11%13.66%47.28%50.22%29.29%39.03%43.27%31.83%
    10 to 49 employees13.81%10.46%45.78%45.11%30.56%35.29%42.67%39.12%
    50 to 199 employees12.41%10.47%42.88%40.08%34.54%33.64%43.32%42.15%
    200 to 499 employees12.34%9.78%41.16%50.13%30.18%38.57%42.91%39.88%
    500 or more employees14.98%9.50%50.55%51.89%40.78%57.84%41.39%34.16%
a

Very low intensity: slightly higher than the general population or at the limit of detection.

b

A Strong degree exposure is defined by a strong or very strong intensity or a slow intensity with duration > 2 h, or a very low intensity with duration > 10 h.

c

Workers with specific status are employees working in government-owned or controlled corporations and who enjoy a special status [SNCF (national railways), the RATP (Parisian transport), the electrical and gas companies (EDF and GDF), etc.

d

Respondent’s occupation, regrouped into six categories using the French classification of occupations and socio-professional categories (PCS); close to the International Standard Classification of Occupations (ISCO)].

Multiple regressions (table 4) show that the influence of specific characteristics on the prevalence and the degree of exposure increased. For example, compared to managers, blue-collar workers and services workers already had a higher probability in 2003 of being exposed to CMR agents and to have been subjected to a substantial degree of potential harm when exposure did occur and the situation has been worsened in 2010. The situation in regard to administrative staff also deteriorated in this same seven-year period. Thus while administrative staff had a probability of exposure and of pronounced exposure that was statistically similar to that for managers in 2003, they were exposed more often and to a greater extent in 2010. The sector of production, manufacturing and construction; and the sector of installation, repair and maintenance were the most affected by workplace exposures. In 2010, there was no significant improvement, except in the sector for handling, logistics and warehousing; and in the sector of administrative secretaries, typists and receptionists. For the sector of engineering, research and development, the probability of exposure increased in 2010.

Table 4

Effects of the worker, company and product’s characteristics on the probability of being exposed to at least one CMR agent and being exposed to a strong degree (multivariate random effect logit model)

Probability of being exposed to at least one CMR agentProbability of being exposed to a strong degreea
Adjusted bprevalence odds ratios [95% CI]Adjusted bprevalence odds ratios [95% CI]
Main effectInteractionMain effectInteraction
Year
    2003ReferenceReference
    20100.95 [0.90–1.00]*0.23 [0.11–0.48]***
Gender
    MenReferenceReference
    Women0.56 [0.52–0.60]***,1.10 [0.97–1.26]
Age (Continuous)0.99 [0.98–0.99]***0.99 [0.99–1.00]1.01 [0.99–1.01]*
Job seniority
    <1 yearReferenceReference
    1 to 3 years1.26 [1.14–1.40]***1.075 [0.90–1.28]
    4 to 9 years1.30 [1.17–1.45]***1.03 [0.86–1.22]
    10 years or more1.49 [1.33–1.67]***1.10 [0.92–1.32]
Employment contract
    Civils servants, workers with specific statuscReferenceReference
    Apprentices, trainees, agency workers, fixed term contract, seasonal and occasional worker1.19 [0.95–1.48]0.80 [0.60–1.08]1.40 [1.00–1.98]***0.94 [0.58–1.53]
    Undetermined contract1.21 [1.00–1.47]**0.77 [0.60–0.98]**1.27 [0.97–1.68]*0.88 [0.52–1.48]
Working hours
    Full-timeReference1.29 [1.07–1.54]***
    Part-time0.73 [0.67–0.81]***Reference
Shift work
    NoReferenceReference
    Yes1.34[1.24–1.45]***0.95 [0.84–1.08]1.60 [1.41–1.81]***0.92 [0.75–1.12]
Night work
    NoReferenceReference
    Yes1.17 [1.09–1.26]***0.95 [0.85–1.07]1.04 [0.93–1.17]0.92 [0.76–1.10]
Sunday working
    NoReferenceReference
    Yes0.95 [0.89–1.00]*0.86 [0.78–0.94]***
Occupational statusd
    Professionals, managersReferenceReference
    Technicians and associate professionals2.06 [1.77–2.38]***1.29 [1.03–1.63]**1.52 [1.17–1.97]***1.58 [1.02–2.46]**
    Clerks0.94 [0.73–1.21]1.63 [1.10–2.41]**1.10 [0.68–1.76]2.35 [1.12–4.95]**
    Services workers1.31 [1.08–1.59]***2.25 [1.68–3.02]***2.08 [1.45–2.99]***1.62 [0.92–2.84]*
    Skilled blue-collar workers3.017 [2.58–3.53]***1.63 [1.28–2.08]***2.04 [1.56–2.66]***1.450 [0.96–2.33]*
    Unskilled blue-collar workers and agricultural workers2.56 [2.16–3.03]***1.74 [1.34–2.26]***2.03 [1.53–2.70]***1.67 [1.05–2.65]**
Main function
    Production, manufacturing and constructionReferenceReference
    Installation, repair and maintenance1.87 [1.73–2.04]***0.98 [0.86–1.11]0.98 [0.87–1.09]0.81 [0.68–0.97]**
    Cleaning, child care and home management0.38 [0.30–0.47]***1.04 [0.76–1.43]
    Handling, logistics and warehousing0.33 [0.30–0.37]***0.73 [0.60–0.88]***
    Administrative secretary, typing, receptionist0.19 [0.14–0.25]***0.58 [0.36–0.96]**
    Management and accounting0.10 [0.08–0.13]***0.88 [0.52–1.49]
    Commerce and sale, marketing0.22 [0.19–0.26]***0.97 [0.76–1.23],
    Engineering, research and development (R&D) activities0.39 [0.33–0.45]***1.44 [1.13–1.84]***0.54 [0.43–0.69]***0.71 [0.47–1.06]*
    Others0.44 [0.38–0.52]***1.22 [1.00–1.47]**0.73 [0.63–0.85]***0.86 [0.68–1.08]
Presence of committee for health, safety and working conditions
    NoReferenceReference
    Yes0.90 [0.81–0.99]**0.99 [0.84–1.16]0.94 [0.79–1.11]0.77 [0.60–0.99]**
Company size
    1 to 9 employeesReferenceReference
    10 to 49 employees0.85 [0.77–0.93]***0.85 [0.74–0.98]**0.97 [0.84–1.12]1.66 [1.34–2.05]***
    50 to 199 employees0.69 [0.62–0.79]***1.04 [0.86–1.26]0.93 [0.76–1.13]2.18 [1.60–2.92]***
    200 to 499 employees0.69 [0.60–0.80]***0.95 [0.76–1.18]1.01 [0.80–1.27]1.89 [1.33–2.67]***
    500 or more employees0.77 [0.68–0.89]***0.82 [0.66–1.01]*0.78 [0.63–0.96]**1.79 [1.28–2.50]***
Product classified as CMR according to the European Union legislation
    Category 10.82 [0.56–1.20]
    Category 20.77 [0.52–1.15]
    Not classifiedReference
Substitutability of agent
    NoReference
    Yes0.70 [0.51–0.97]**
Product with restrictive statutory limit values
    NoReference
    Yes0.91 [0.64–1.30]
    Correlation coefficient0.220.04
    No. of observations87 90014 157
Probability of being exposed to at least one CMR agentProbability of being exposed to a strong degreea
Adjusted bprevalence odds ratios [95% CI]Adjusted bprevalence odds ratios [95% CI]
Main effectInteractionMain effectInteraction
Year
    2003ReferenceReference
    20100.95 [0.90–1.00]*0.23 [0.11–0.48]***
Gender
    MenReferenceReference
    Women0.56 [0.52–0.60]***,1.10 [0.97–1.26]
Age (Continuous)0.99 [0.98–0.99]***0.99 [0.99–1.00]1.01 [0.99–1.01]*
Job seniority
    <1 yearReferenceReference
    1 to 3 years1.26 [1.14–1.40]***1.075 [0.90–1.28]
    4 to 9 years1.30 [1.17–1.45]***1.03 [0.86–1.22]
    10 years or more1.49 [1.33–1.67]***1.10 [0.92–1.32]
Employment contract
    Civils servants, workers with specific statuscReferenceReference
    Apprentices, trainees, agency workers, fixed term contract, seasonal and occasional worker1.19 [0.95–1.48]0.80 [0.60–1.08]1.40 [1.00–1.98]***0.94 [0.58–1.53]
    Undetermined contract1.21 [1.00–1.47]**0.77 [0.60–0.98]**1.27 [0.97–1.68]*0.88 [0.52–1.48]
Working hours
    Full-timeReference1.29 [1.07–1.54]***
    Part-time0.73 [0.67–0.81]***Reference
Shift work
    NoReferenceReference
    Yes1.34[1.24–1.45]***0.95 [0.84–1.08]1.60 [1.41–1.81]***0.92 [0.75–1.12]
Night work
    NoReferenceReference
    Yes1.17 [1.09–1.26]***0.95 [0.85–1.07]1.04 [0.93–1.17]0.92 [0.76–1.10]
Sunday working
    NoReferenceReference
    Yes0.95 [0.89–1.00]*0.86 [0.78–0.94]***
Occupational statusd
    Professionals, managersReferenceReference
    Technicians and associate professionals2.06 [1.77–2.38]***1.29 [1.03–1.63]**1.52 [1.17–1.97]***1.58 [1.02–2.46]**
    Clerks0.94 [0.73–1.21]1.63 [1.10–2.41]**1.10 [0.68–1.76]2.35 [1.12–4.95]**
    Services workers1.31 [1.08–1.59]***2.25 [1.68–3.02]***2.08 [1.45–2.99]***1.62 [0.92–2.84]*
    Skilled blue-collar workers3.017 [2.58–3.53]***1.63 [1.28–2.08]***2.04 [1.56–2.66]***1.450 [0.96–2.33]*
    Unskilled blue-collar workers and agricultural workers2.56 [2.16–3.03]***1.74 [1.34–2.26]***2.03 [1.53–2.70]***1.67 [1.05–2.65]**
Main function
    Production, manufacturing and constructionReferenceReference
    Installation, repair and maintenance1.87 [1.73–2.04]***0.98 [0.86–1.11]0.98 [0.87–1.09]0.81 [0.68–0.97]**
    Cleaning, child care and home management0.38 [0.30–0.47]***1.04 [0.76–1.43]
    Handling, logistics and warehousing0.33 [0.30–0.37]***0.73 [0.60–0.88]***
    Administrative secretary, typing, receptionist0.19 [0.14–0.25]***0.58 [0.36–0.96]**
    Management and accounting0.10 [0.08–0.13]***0.88 [0.52–1.49]
    Commerce and sale, marketing0.22 [0.19–0.26]***0.97 [0.76–1.23],
    Engineering, research and development (R&D) activities0.39 [0.33–0.45]***1.44 [1.13–1.84]***0.54 [0.43–0.69]***0.71 [0.47–1.06]*
    Others0.44 [0.38–0.52]***1.22 [1.00–1.47]**0.73 [0.63–0.85]***0.86 [0.68–1.08]
Presence of committee for health, safety and working conditions
    NoReferenceReference
    Yes0.90 [0.81–0.99]**0.99 [0.84–1.16]0.94 [0.79–1.11]0.77 [0.60–0.99]**
Company size
    1 to 9 employeesReferenceReference
    10 to 49 employees0.85 [0.77–0.93]***0.85 [0.74–0.98]**0.97 [0.84–1.12]1.66 [1.34–2.05]***
    50 to 199 employees0.69 [0.62–0.79]***1.04 [0.86–1.26]0.93 [0.76–1.13]2.18 [1.60–2.92]***
    200 to 499 employees0.69 [0.60–0.80]***0.95 [0.76–1.18]1.01 [0.80–1.27]1.89 [1.33–2.67]***
    500 or more employees0.77 [0.68–0.89]***0.82 [0.66–1.01]*0.78 [0.63–0.96]**1.79 [1.28–2.50]***
Product classified as CMR according to the European Union legislation
    Category 10.82 [0.56–1.20]
    Category 20.77 [0.52–1.15]
    Not classifiedReference
Substitutability of agent
    NoReference
    Yes0.70 [0.51–0.97]**
Product with restrictive statutory limit values
    NoReference
    Yes0.91 [0.64–1.30]
    Correlation coefficient0.220.04
    No. of observations87 90014 157

*, **, and *** represent the significance level at 10%, 5% and 1%.

a: A Strong degree exposure is defined by a strong or very strong intensity or a slow intensity with duration > 2 h, or a very low intensity with duration > 10 h.

b: Odd ratio adjusted on all the variables in the model, including geographical location of the company.

c: Workers with specific status are employees working in government-owned or controlled corporations and who enjoy a special status (SNCF (national railways), the RATP (Parisian transport), the electrical and gas companies (EDF and GDF), etc.

d: Respondent’s occupation, regrouped into six categories using the French classification of occupations and socio-professional categories (PCS); close to the International Standard Classification of Occupations (ISCO).

Table 4

Effects of the worker, company and product’s characteristics on the probability of being exposed to at least one CMR agent and being exposed to a strong degree (multivariate random effect logit model)

Probability of being exposed to at least one CMR agentProbability of being exposed to a strong degreea
Adjusted bprevalence odds ratios [95% CI]Adjusted bprevalence odds ratios [95% CI]
Main effectInteractionMain effectInteraction
Year
    2003ReferenceReference
    20100.95 [0.90–1.00]*0.23 [0.11–0.48]***
Gender
    MenReferenceReference
    Women0.56 [0.52–0.60]***,1.10 [0.97–1.26]
Age (Continuous)0.99 [0.98–0.99]***0.99 [0.99–1.00]1.01 [0.99–1.01]*
Job seniority
    <1 yearReferenceReference
    1 to 3 years1.26 [1.14–1.40]***1.075 [0.90–1.28]
    4 to 9 years1.30 [1.17–1.45]***1.03 [0.86–1.22]
    10 years or more1.49 [1.33–1.67]***1.10 [0.92–1.32]
Employment contract
    Civils servants, workers with specific statuscReferenceReference
    Apprentices, trainees, agency workers, fixed term contract, seasonal and occasional worker1.19 [0.95–1.48]0.80 [0.60–1.08]1.40 [1.00–1.98]***0.94 [0.58–1.53]
    Undetermined contract1.21 [1.00–1.47]**0.77 [0.60–0.98]**1.27 [0.97–1.68]*0.88 [0.52–1.48]
Working hours
    Full-timeReference1.29 [1.07–1.54]***
    Part-time0.73 [0.67–0.81]***Reference
Shift work
    NoReferenceReference
    Yes1.34[1.24–1.45]***0.95 [0.84–1.08]1.60 [1.41–1.81]***0.92 [0.75–1.12]
Night work
    NoReferenceReference
    Yes1.17 [1.09–1.26]***0.95 [0.85–1.07]1.04 [0.93–1.17]0.92 [0.76–1.10]
Sunday working
    NoReferenceReference
    Yes0.95 [0.89–1.00]*0.86 [0.78–0.94]***
Occupational statusd
    Professionals, managersReferenceReference
    Technicians and associate professionals2.06 [1.77–2.38]***1.29 [1.03–1.63]**1.52 [1.17–1.97]***1.58 [1.02–2.46]**
    Clerks0.94 [0.73–1.21]1.63 [1.10–2.41]**1.10 [0.68–1.76]2.35 [1.12–4.95]**
    Services workers1.31 [1.08–1.59]***2.25 [1.68–3.02]***2.08 [1.45–2.99]***1.62 [0.92–2.84]*
    Skilled blue-collar workers3.017 [2.58–3.53]***1.63 [1.28–2.08]***2.04 [1.56–2.66]***1.450 [0.96–2.33]*
    Unskilled blue-collar workers and agricultural workers2.56 [2.16–3.03]***1.74 [1.34–2.26]***2.03 [1.53–2.70]***1.67 [1.05–2.65]**
Main function
    Production, manufacturing and constructionReferenceReference
    Installation, repair and maintenance1.87 [1.73–2.04]***0.98 [0.86–1.11]0.98 [0.87–1.09]0.81 [0.68–0.97]**
    Cleaning, child care and home management0.38 [0.30–0.47]***1.04 [0.76–1.43]
    Handling, logistics and warehousing0.33 [0.30–0.37]***0.73 [0.60–0.88]***
    Administrative secretary, typing, receptionist0.19 [0.14–0.25]***0.58 [0.36–0.96]**
    Management and accounting0.10 [0.08–0.13]***0.88 [0.52–1.49]
    Commerce and sale, marketing0.22 [0.19–0.26]***0.97 [0.76–1.23],
    Engineering, research and development (R&D) activities0.39 [0.33–0.45]***1.44 [1.13–1.84]***0.54 [0.43–0.69]***0.71 [0.47–1.06]*
    Others0.44 [0.38–0.52]***1.22 [1.00–1.47]**0.73 [0.63–0.85]***0.86 [0.68–1.08]
Presence of committee for health, safety and working conditions
    NoReferenceReference
    Yes0.90 [0.81–0.99]**0.99 [0.84–1.16]0.94 [0.79–1.11]0.77 [0.60–0.99]**
Company size
    1 to 9 employeesReferenceReference
    10 to 49 employees0.85 [0.77–0.93]***0.85 [0.74–0.98]**0.97 [0.84–1.12]1.66 [1.34–2.05]***
    50 to 199 employees0.69 [0.62–0.79]***1.04 [0.86–1.26]0.93 [0.76–1.13]2.18 [1.60–2.92]***
    200 to 499 employees0.69 [0.60–0.80]***0.95 [0.76–1.18]1.01 [0.80–1.27]1.89 [1.33–2.67]***
    500 or more employees0.77 [0.68–0.89]***0.82 [0.66–1.01]*0.78 [0.63–0.96]**1.79 [1.28–2.50]***
Product classified as CMR according to the European Union legislation
    Category 10.82 [0.56–1.20]
    Category 20.77 [0.52–1.15]
    Not classifiedReference
Substitutability of agent
    NoReference
    Yes0.70 [0.51–0.97]**
Product with restrictive statutory limit values
    NoReference
    Yes0.91 [0.64–1.30]
    Correlation coefficient0.220.04
    No. of observations87 90014 157
Probability of being exposed to at least one CMR agentProbability of being exposed to a strong degreea
Adjusted bprevalence odds ratios [95% CI]Adjusted bprevalence odds ratios [95% CI]
Main effectInteractionMain effectInteraction
Year
    2003ReferenceReference
    20100.95 [0.90–1.00]*0.23 [0.11–0.48]***
Gender
    MenReferenceReference
    Women0.56 [0.52–0.60]***,1.10 [0.97–1.26]
Age (Continuous)0.99 [0.98–0.99]***0.99 [0.99–1.00]1.01 [0.99–1.01]*
Job seniority
    <1 yearReferenceReference
    1 to 3 years1.26 [1.14–1.40]***1.075 [0.90–1.28]
    4 to 9 years1.30 [1.17–1.45]***1.03 [0.86–1.22]
    10 years or more1.49 [1.33–1.67]***1.10 [0.92–1.32]
Employment contract
    Civils servants, workers with specific statuscReferenceReference
    Apprentices, trainees, agency workers, fixed term contract, seasonal and occasional worker1.19 [0.95–1.48]0.80 [0.60–1.08]1.40 [1.00–1.98]***0.94 [0.58–1.53]
    Undetermined contract1.21 [1.00–1.47]**0.77 [0.60–0.98]**1.27 [0.97–1.68]*0.88 [0.52–1.48]
Working hours
    Full-timeReference1.29 [1.07–1.54]***
    Part-time0.73 [0.67–0.81]***Reference
Shift work
    NoReferenceReference
    Yes1.34[1.24–1.45]***0.95 [0.84–1.08]1.60 [1.41–1.81]***0.92 [0.75–1.12]
Night work
    NoReferenceReference
    Yes1.17 [1.09–1.26]***0.95 [0.85–1.07]1.04 [0.93–1.17]0.92 [0.76–1.10]
Sunday working
    NoReferenceReference
    Yes0.95 [0.89–1.00]*0.86 [0.78–0.94]***
Occupational statusd
    Professionals, managersReferenceReference
    Technicians and associate professionals2.06 [1.77–2.38]***1.29 [1.03–1.63]**1.52 [1.17–1.97]***1.58 [1.02–2.46]**
    Clerks0.94 [0.73–1.21]1.63 [1.10–2.41]**1.10 [0.68–1.76]2.35 [1.12–4.95]**
    Services workers1.31 [1.08–1.59]***2.25 [1.68–3.02]***2.08 [1.45–2.99]***1.62 [0.92–2.84]*
    Skilled blue-collar workers3.017 [2.58–3.53]***1.63 [1.28–2.08]***2.04 [1.56–2.66]***1.450 [0.96–2.33]*
    Unskilled blue-collar workers and agricultural workers2.56 [2.16–3.03]***1.74 [1.34–2.26]***2.03 [1.53–2.70]***1.67 [1.05–2.65]**
Main function
    Production, manufacturing and constructionReferenceReference
    Installation, repair and maintenance1.87 [1.73–2.04]***0.98 [0.86–1.11]0.98 [0.87–1.09]0.81 [0.68–0.97]**
    Cleaning, child care and home management0.38 [0.30–0.47]***1.04 [0.76–1.43]
    Handling, logistics and warehousing0.33 [0.30–0.37]***0.73 [0.60–0.88]***
    Administrative secretary, typing, receptionist0.19 [0.14–0.25]***0.58 [0.36–0.96]**
    Management and accounting0.10 [0.08–0.13]***0.88 [0.52–1.49]
    Commerce and sale, marketing0.22 [0.19–0.26]***0.97 [0.76–1.23],
    Engineering, research and development (R&D) activities0.39 [0.33–0.45]***1.44 [1.13–1.84]***0.54 [0.43–0.69]***0.71 [0.47–1.06]*
    Others0.44 [0.38–0.52]***1.22 [1.00–1.47]**0.73 [0.63–0.85]***0.86 [0.68–1.08]
Presence of committee for health, safety and working conditions
    NoReferenceReference
    Yes0.90 [0.81–0.99]**0.99 [0.84–1.16]0.94 [0.79–1.11]0.77 [0.60–0.99]**
Company size
    1 to 9 employeesReferenceReference
    10 to 49 employees0.85 [0.77–0.93]***0.85 [0.74–0.98]**0.97 [0.84–1.12]1.66 [1.34–2.05]***
    50 to 199 employees0.69 [0.62–0.79]***1.04 [0.86–1.26]0.93 [0.76–1.13]2.18 [1.60–2.92]***
    200 to 499 employees0.69 [0.60–0.80]***0.95 [0.76–1.18]1.01 [0.80–1.27]1.89 [1.33–2.67]***
    500 or more employees0.77 [0.68–0.89]***0.82 [0.66–1.01]*0.78 [0.63–0.96]**1.79 [1.28–2.50]***
Product classified as CMR according to the European Union legislation
    Category 10.82 [0.56–1.20]
    Category 20.77 [0.52–1.15]
    Not classifiedReference
Substitutability of agent
    NoReference
    Yes0.70 [0.51–0.97]**
Product with restrictive statutory limit values
    NoReference
    Yes0.91 [0.64–1.30]
    Correlation coefficient0.220.04
    No. of observations87 90014 157

*, **, and *** represent the significance level at 10%, 5% and 1%.

a: A Strong degree exposure is defined by a strong or very strong intensity or a slow intensity with duration > 2 h, or a very low intensity with duration > 10 h.

b: Odd ratio adjusted on all the variables in the model, including geographical location of the company.

c: Workers with specific status are employees working in government-owned or controlled corporations and who enjoy a special status (SNCF (national railways), the RATP (Parisian transport), the electrical and gas companies (EDF and GDF), etc.

d: Respondent’s occupation, regrouped into six categories using the French classification of occupations and socio-professional categories (PCS); close to the International Standard Classification of Occupations (ISCO).

Yet some effects were reversed between 2003 and 2010. For example, workers with permanent contracts were the most exposed employees in 2003, while they were the least exposed in 2010. Thus, the decrease in exposures occurred to the detriment of employees with fixed-term contracts and particularly for the most precarious, such as apprentices. At the company level, micro-enterprises had the highest exposure probabilities in 2003 and 2010, compared to companies with 500 or more employees or with 10–49 employees; and this gap widened over the 7 year period. Nonetheless, companies with fewer than 10 employees were better able to manage their degree of exposure relative to the others. In particular, they were able to catch up with companies with more than 500 employees, such that in 2010 these two categories of enterprises exhibited similar degrees of exposure with equivalent sectors and jobs. Lastly, the probability of having been subjected to substantial exposure was not significantly associated with the product category in the European Union regulations and with BOELVs. It was, however, significantly reduced by substitutability of a given CMR agent, regardless of the time period.

Discussion

The decrease in occupational exposures to CMR products between 2003 and 2010 in France occurred in the context of tighter regulations. For example, the 23rd of December 2003 Decree on the prevention of chemical risks fundamentally changed the rules by imposing the requirement to perform prior risk assessments, regular measurements of concentrations and for occupational physicians to inform employees of the risks of exposure to CMR agents. Similarly, the 9th of February 2006 Decree established BOELVs for certain CMR agents (e.g. wood dust, benzene, diethylamide, lead). Thus, the safe limit values are an important part of broader risk prevention strategies, and they have the advantage of providing a benchmark for the minimal level in regard to health protection. They also help in providing a better understanding of the complex notion of chemical hazards, as well as their control and prevention. Awareness of the risks of occupational exposure to CMR agents has also been heightened by the implementation on the 1st of January 2007 of the REACH regulations for streamlining restrictions and for improvement of the regulatory framework of the European Union in regard to chemicals. Moreover, this decrease can also be explained by changes in production processes, or by substitution with safer products. For example, the substantial decreases in exposure to the three solvents benzene, perchlorethylene, and trichloroethylene have occurred through use of substitute products such as detergents or non-halogenated solvents used for degreasing in the mechanical and metallurgical industries and as solvents in dry cleaning facilities. Moreover, since the 1st of March 2013, no new dry cleaning devices using perchlorethylene may be used in France, thus resulting in a gradual replacement of conventional dry cleaning machines with alternative solutions such as, for example, the aqua-cleaning process.

None of the five CMR agents which exhibited an increase in their exposure prevalence during the study period are classified as known CMRs by the European Union, and the restrictions regarding their use are therefore less stringent. However, cadmium and crystalline silica had been classified for years as category 1 by IARC. Use of products or processes resulting in exposure to crystalline silica, cadmium, cobalt, or to phthalates is, however, often unavoidable since they are essential from a technical perspective in sectors such as aerospace, construction, the metallurgical industry and the rubber/paint/plastics industries. Moreover, it is not surprising that exposure to cobalt, cadmium and metal carbides have changed in the same direction, since these products are associated with each other in some manufacturing processes. Part of the increase in the number of employees exposed to cobalt and cadmium can probably be attributed to the production of batteries, for which demand continues to expand rapidly.17,18 The elevated increase in exposure to phthalates is due to the widespread use of this family of compounds (adhesives, detergents, pharmaceuticals and cosmetic products…) and due to the consequent increase in production levels. By contrast, exposure to asbestos is decreasing gradually over time since asbestos has been banned in France since the 1st of January 1997 and removal of asbestos from buildings and equipment is less and less performed.

The changes in exposures between 2003 and 2010 differed not only in terms of the CMR products but also according to the employee and the company categories. The decrease in overall exposure to CMR agents occurred to the detriment of employees on fixed-term contracts and apprentices in particular. Since the occupational regulations in France require abolition or substitution of CMR agents whenever this becomes technically possible, it seems likely that companies preferentially aimed their efforts toward jobs and employees with an elevated risk of being exposed for longer periods due to their long-term association with the company. Along these lines, apprentices may also tend to temporarily take health risks with the aim of being awarded a contract to undertake vocational training. This has become invaluable for gaining long-term employment in a job market where having a degree and experience have now become entrenched as clear necessities. The inequalities in exposure have in essence become a key reflection of the differences between very precarious employment and the more stable forms of employment. We found that the decrease in the risks of exposure to CMR agents was much more pronounced for permanent employees and middle management. At the company level, this decrease was much more noticeable in establishments with more than 500 employees. This could be explained by an increased ability of larger companies to commit financial resources to substitution and prevention policies, while also outsourcing certain processes associated with increased CMR exposure to third parties.19–23 Lastly, the requirement to implement a CHSCT in companies with more than 50 employees24 can, strictly speaking, reinforce the effect of the company size, and we indeed noted a more pronounced decrease in exposures to chemical CMR agents in establishments where a CHSCT was in place. Nonetheless, companies with less than 10 employees were able to achieve a better reduction in the degree of exposure relative to the others, with a more pronounced decrease in the probability of being subjected to substantial exposure. This is most likely a result of the implementation of the national Occupational Health Plan, for which the top priority target was prevention and protection in small companies. Consequently, our results indicate that the measures stipulated by these regulations aimed at small companies have preferentially impacted on being able to control occupational exposures to CMR agents, rather than in terms of their elimination as such. More effort should hence be made in this regard, and this is why small companies have again been earmarked as priority targets in the Occupational Health Plan for 2009–14.

The most encouraging result from this study was the finding that tightening of regulatory conditions for CMR products appears to have exerted a positive effect on risk reduction. The number of employees exposed to CMR agents decreased by 17.5% between 2003 and 2010, which amounted to a much more pronounced decrease than for chemical entities in general.8 Furthermore, monitoring trends in exposure disparities will allow public health policy makers to better evaluate progress made toward reducing disparities that affect vulnerable populations, and to adjust and improve national prevention and protection strategies.

Acknowledgements

This study was funded by the French Directorate of Research, Studies and Statistics Coordination (Direction de l'animation de la recherche, des études et des statistiques–DARES), of the French Ministry of Labour, in the framework of the call for ‘Risques du travail: autour de SUMER 2010’ project.

Funding

This study was funded by the French Directorate of Research, Studies and Statistics Coordination of the French Ministry of Labour.

Conflicts of interest: None declared.

Key points

  • Several health policies for the prevention of occupational cancers have been implemented in France over the past 15 years.

  • Our study confirms that reinforcing regulatory restrictions for CMR products appears to have exerted a positive effect on risk reduction and identifies inequalities in exposures.

  • The decrease in the risk of exposure to CMR agent was much greater for those on permanent contracts, managers and in enterprises with more than 500 employees.

  • Monitoring trends in disparities will allow public health policy makers to better evaluate progress made toward reducing disparities that affect vulnerable populations.

References

1

Cogliano
VJ
,
Baan
R
,
Straif
K
, et al. 
Preventable exposures associated with human cancers
.
J Natl Cancer Inst
2011
;
103
:
1827
39
.

2

Luce
D
,
Goldberg
M
.
Les cancers professionnels (à l’exception de l’amiante). (Occupational cancer (except asbestos caused)
.
Oncologie
1997
;
9
:
331
4
.

3

Imbernon
E
. Estimation du nombre de cas de certains cancers attribuables à des facteurs professionnels en France (Estimate of the number of cases of certain types of cancer that are attribuable to occupationnal factors in France), Institut de Veille Sanitaire;
2003
.

4

Diricq
N
. Rapport de la commission instituée par l’article L.176-2 du Code de Sécurité Sociale, Paris. 193 p. 2011 Technical report. Available at: www.securite-sociale.fr/IMG/pdf/11_diricq.pdf (22 July 2016, date last accessed).

5

Marti
P
.
Cancers et maladie professionnelle (Cancers and occupational disease)
.
Oncologie
2007
;
9
:
341
7
.

6

European Agency for Safety and Health at Work
. Exposure to carcinogens and work-related cancer: A review of assessment methods;
2014
. European risk observatory report.

7

Guignon
N
,
Sandret
N
.
Les expositions aux produits cancérogènes, mutagènes et reprotoxiques (Exposure to carcinogenic, mutagenic, and reprotoxic products)
.
Documents pour le Médecin du Travail
2005
;
104TF44
:
471
83
.

8

Cavet
M
,
Léonard
M
. Les expositions aux produits chimiques cancérogènes en 2010 (Exposure to carcinogenic chemicals in 2010), DARES Analyses 54. Ministère du Travail, de l’Emploi, de la Formation professionnelle et du Dialogue social;
2013
. Paris. Available at: http://travail-emploi.gouv.fr/IMG/pdf/2013-054-2.pdf (22 July 2016, date last accessed).

9

Heran-Leroy
O
,
Sandret
N
.
Résultats de l'enquête “SUMER 94”: L’exposition aux produits cancérogènes dans le travail (The results of the SUMER 94 study: occupational exposure to carcinogens)
.
Documents pour le médecin du travail
1998
; n
75
:
265
72
.

10

Fort
E
,
Ndagire
S
,
Gadegbeku
B
, et al. 
Working conditions and occupational risk exposure in employees driving for work
.
Accid Anal Prev
2016
;
89
:
118
27
.

11

Havet
N
,
Penot
A
,
Morelle
M
, et al. 
Inégalités de l’exposition aux produits cancérogènes, mutagènes ou reprotoxiques (CMR) en milieu professionnel en France (Inequalities in exposure to carcinogenic, mutagenic, and reprotoxic chemicals in occupational setting in France)
.
Env, Risques Santé
2014
;
13
:
336
41
.

12

Niedhammer
I
,
Chastang
JF
,
David
S
,
Kelleher
C
.
The contribution of occupational factors to social inequalities in health: findings from the national French SUMER survey
.
Soc Sci Med
2008
;
67
:
1870
81
.

13

Arnaudo
B
,
Léonard
M
,
Sandret
N
, et al.  L’évolution des risques professionnels dans le secteur privé entre 1994 et 2010: premiers résultats de l’enquête SUMER (Evolution of occupational risks in the private sector between 1994 and 2010: first results of the SUMER survey);
2012
DARES Analyses 02. Available at: www.inrs.fr/dms/inrs/CataloguePapier/DMT/TI-TF-201/tf201.pdf (22 July 2016, date last accessed).

14

Rabe-Hesketh
S
,
Skrondal
A
.
Multilevel and Longitudinal Modeling Using Stata
, 2nd edn College Station, Texas:
Stata Press
,
2008
.

15

Goldstein H, Multilevel Statistical Model, 4th edn. John Wiley & Sons Ltd, West Sussex, United Kingdom, 2011.

16

Hox
.
Multilevel Analysis and Applications
, 2nd edn
New York
:
Routledge
,
2010
.

17

United Nations Environment Programme
. Final review of scientific information on cadmium;
2010
. Available at: http://www.unep.org/chemicalsandwaste/LeadandCadmium/ReportsandPublications/tabid/1059806/Default.aspx July 2016, date last accessed).

18

Audion
AS
,
Hocquard
C
,
Labbé
JF
. avec la collaboration de Dupuy JJ. Panorama mondial 2013 du marché du cobalt (Global Cobalt Market Review 2013);
2014
. Rapport public. BRGM/RP-63626-FR. Available at: http://www.mineralinfo.fr/sites/default/files/upload/documents/Plaquettes/rp-63626-fr-cobalt.pdf (22 July 2016, date last accessed).

19

Eakin
JM
.
Leaving it up to the Workers: sociological perspective on the management or health and safety in small workplaces
.
Int J of Health Serv
1992
;
22
:
689
704
.

20

Kreuzer
M
,
Pohlabeln
H
,
Ahrens
W
, et al. 
Occupational risk factors for lung cancer among young men
.
Scand J Work Environ Health
1999
;
25
:
422
9
.

21

Stolk
CV
,
Staetsky
L
,
Hassan
E
,
Woo
KC
. Management of occupational safety and health: An analysis of the findings of the European Survey of Enterprise on New and emerging Risks 2012; Luxembourg, Publication Office of the European Union. Available at: https://osha.europa.eu/en/tools-and-publications/publications/reports/management-of-occupational-safety-and-health-analysis-of-data-from-the-esener/view (22 July 2016, date last accessed).

22

Kreuzer
M
,
Pohlabeln
H
,
Ahrens
W
, et al. 
Occupational risk factors for lung cancer among young men
.
Scand Work, Environ Health
1999
;
25
:
422
9
.

23

Amossé
T
,
Célérier
S
.
Pratiques d’entreprises en santé et sécurité–Un panorama de la situation française depuis une double perspective, quantitative et qualitative (Company practices in occupational health and safety: An overview of the situation in France from a quantitative and qualitative perspective)
.
PISTES
2013
;
15
:
1
22
.

24

Soudry
C
. Le comité d’hygiène, de sécurité et des conditions de travail (Committee for health, safety, and work conditions). INRS;
2012
, Fiche technique ED 896. Available at: http://www.souffrance-et-travail.com/wp-content/uploads/Guide-CHSCT-Inrs.pdf (22 July 2016, date last accessed).

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.