| Literature DB >> 31747116 |
Mélanie Bertin1, Thi-Hai-Yen Nguyen1,2, Nathalie Bonvallot3, Julie Bodin1, Yves Roquelaure4.
Abstract
OBJECTIVES: Musculoskeletal disorders, mainly carpal tunnel syndrome, represent a leading cause of compensation claims of workers worldwide. Despite this, and the fact that occupational exposures to biomechanical factors and neurotoxic chemicals have been individually associated with peripheral nerve damage, the prevalence of occupational co-exposure to biomechanical factors and neurotoxic chemicals has rarely been explored. Therefore, our aim was to assess the prevalence of occupational co-exposure to biomechanical factors and neurotoxic chemicals in a national representative sample of the French working population.Entities:
Keywords: biomechanical factors; multiple exposures; neurotoxic chemicals; occupational exposure
Mesh:
Substances:
Year: 2019 PMID: 31747116 PMCID: PMC6970399 DOI: 10.1002/1348-9585.12090
Source DB: PubMed Journal: J Occup Health ISSN: 1341-9145 Impact factor: 2.708
Weighted prevalence of exposure and co‐exposure to biomechanical factors and neurotoxic chemicals among the French working populationa, by sex (SUMER 2010, France)
| Men (n = 24 990) | Women (n = 18 293) | |||||
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| N | n | % | N | n | % | |
| Exposure to biomechanical factors | ||||||
| Manual handling loads ≥10 h/wk | 24 471 | 2899 | 12.3 | 17 974 | 1382 | 7.7 |
| Forceful joints exertion ≥10 h/wk | 24 809 | 1578 | 6.2 | 18 170 | 1168 | 6.0 |
| Repetitive movements ≥20 h/wk | 24 745 | 1790 | 7.2 | 18 074 | 1887 | 9.4 |
| Hand‐arm transmitted vibrations ≥2 h/wk | 24 884 | 2637 | 11.5 | 18 278 | 135 | 0.7 |
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| Exposure to neurotoxic chemicals | ||||||
| Formaldehyde | 24 990 | 177 | 0.6 | 18 293 | 146 | 0.7 |
| Acrylamide | 24 990 | 61 | 0.2 | 18 293 | 19 | 0.1 |
| Arsenic and arsenic compounds | 24 990 | 24 | 0.1 | 18 293 | 5 | 0.0 |
| Lead and lead compounds | 24 990 | 208 | 0.9 | 18 293 | 32 | 0.1 |
| Pesticides | 24 990 | 453 | 1.6 | 18 293 | 88 | 0.5 |
| Styrene | 24 990 | 176 | 0.8 | 18 293 | 15 | 0.0 |
| Ketones | 24 990 | 977 | 3.7 | 18 293 | 273 | 1.3 |
| Benzene | 24 990 | 94 | 0.3 | 18 293 | 14 | 0.1 |
| n‐Hexane | 24 990 | 118 | 0.4 | 18 293 | 28 | 0.1 |
| Toluene | 24 990 | 429 | 1.6 | 18 293 | 68 | 0.3 |
| White‐spirit | 24 990 | 1301 | 5.2 | 18 293 | 95 | 0.4 |
| Dichloromethane | 24 990 | 149 | 0.5 | 18 293 | 31 | 0.1 |
| Perchlorethylene | 24 990 | 41 | 0.2 | 18 293 | 28 | 0.1 |
| Trichloroethylene | 24 990 | 98 | 0.5 | 18 293 | 15 | 0.1 |
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N, total number of workers (unweighted); n, number of exposed workers (unweighted).
Total numbers differ because of missing values for some variables.
% based on weighted data.
Including herbicides, fungicides, insecticides, and other pesticides.
Including polyester resins.
Values in bold/italic include biomechanicals or neurotoxic chemical exposures, including the other biomechanicals and neurotoxic chemicals mentioned above.
Weighted prevalence of employees co‐exposed to at least one biomechanical factors and at least one neurotoxic chemicals according to their socio‐professional characteristics, by sex (SUMER 2010, France)
| Men (n = 24 970) | Women (n = 18 293) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N | n | % | [95% CI] |
| N | n | % | [95% CI] |
| |
| Age | <.001 | .965 | ||||||||
| <30 y | 4152 | 322 | 8.42 | [6.59‐10.25] | 2811 | 29 | 0.81 | [0.46‐1.15] | ||
| 30‐39 y | 7050 | 318 | 4.11 | [3.46‐4.76] | 4891 | 51 | 0.92 | [0.57‐1.27] | ||
| 40‐49 y | 7582 | 345 | 4.41 | [3.74‐5.08] | 5616 | 61 | 0.85 | [0.56‐1.14] | ||
| ≥50 y | 6186 | 231 | 3.73 | [3.07‐4.38] | 4975 | 38 | 0.81 | [0.42‐1.20] | ||
| Industry sector | <.001 | <.001 | ||||||||
| Agriculture, fishing, and forestry | 665 | 50 | 7.57 | [3.27‐11.87] | 203 | 5 | 1.29 | [0.00‐2.73] | ||
| Industry | 7484 | 401 | 6.15 | [5.29‐7.01] | 2496 | 79 | 3.36 | [2.37‐4.35] | ||
| Construction | 1895 | 243 | 12.72 | [10.02‐15.42] | 273 | 5 | 2.15 | [0.19‐4.11] | ||
| Services | 14 926 | 522 | 3 | [2.57‐3.44] | 15 321 | 90 | 0.54 | [0.38‐0.70] | ||
| Occupational category | <.001 | <.001 | ||||||||
| Professionnals/managers | 4842 | 9 | 0.17 | [0.04‐0.30] | 2656 | 5 | 0.12 | [0.00‐0.24] | ||
| Associate professionals/technicians | 6070 | 105 | 1.56 | [1.05‐2.08] | 5262 | 26 | 0.33 | [0.17‐0.49] | ||
| Clerks/service workers | 3195 | 54 | 2.11 | [1.42‐2.80] | 8323 | 43 | 0.59 | [0.34‐0.84] | ||
| Blue‐collar workers | 10 863 | 1048 | 9.82 | [8.82‐10.82] | 2052 | 105 | 4.29 | [3.25‐5.33] | ||
| Type of contract | <.001 | |||||||||
| Apprenticeship | 296 | 33 | 19.24 | [7.17‐31.31] | 135 | 3 | — | — | ||
| Temporary | 293 | 15 | 5.3 | [2.12‐8.48] | 107 | 0 | — | — | ||
| Non‐permanent | 701 | 37 | 3.29 | [1.68‐4.90] | 716 | 8 | 1.22 | [−0.06 to 2.51] | ||
| Permanent | 23 656 | 1130 | 4.7 | [4.28‐5.11] | 17 318 | 168 | 0.83 | [0.66‐1.00] | ||
| Number of employees in the company | <.001 | .013 | ||||||||
| 1‐9 | 3851 | 347 | 9.07 | [7.71‐10.42] | 3333 | 44 | 1.22 | [0.75‐1.68] | ||
| 10‐99 | 5909 | 385 | 5.48 | [4.72‐6.23] | 4315 | 32 | 0.58 | [0.33‐0.83] | ||
| 50‐199 | 4823 | 193 | 4.54 | [3.24‐5.83] | 3436 | 37 | 1.08 | [0.56‐1.60] | ||
| 200‐499 | 3332 | 107 | 3.78 | [2.24‐5.33] | 2113 | 30 | 1.11 | [0.59‐1.62] | ||
| 500 | 7055 | 184 | 2.1 | [1.61‐2.58] | 5096 | 36 | 0.5 | [0.27‐0.73] | ||
N, total number of workers (unweighted); n, number of exposed workers (unweighted).
% based on weighted data.
Statistical comparisons of co‐exposed employees according to socio‐professional characteristics were performed using the Rao‐Scott chi‐square test.