| Literature DB >> 35155340 |
Abstract
Non-melanoma skin cancer (NMSC) is the most common cancer in western countries. Legislative bodies and stakeholders like WHO and EU strongly promote protection against solar UVR, especially in workers. Occupational health prevention must be introduced as a strong instrument in workers protection also with regard to occupational disease issues. To date, criteria for both occupational health prevention and occupational disease are missing and the identification of risk groups has no metric basis. Here I report a criteria analysis based on the largest comprehensive data set of occupational ultraviolet radiation exposure of outdoor workers. With detailed research on occupation-specific dosimetric measurements of 45.000 measurement days in 176 occupations and sub-occupations, it is possible to map criteria for occupational health prevention specifically and to identify affected occupations. The number of employees affected can be elucidated worldwide. For the first time, a direct link to retrospective occupational disease criteria could be established. Of the 176 occupations and sub-occupations selected for this work, 153 (=87%) exceed the criterion for occupational health prevention and thus need special attention. This includes all occupations with annual exposures of more than 150 SED. Employment figures for the EU and the world yield the total number of affected workers to be 36.1 million and more than 500 million, respectively. These new criteria for occupational health prevention are valid and in good agreement with international research on limit values by WHO and ICNIRP. If applied correctly and consistently, these criteria can prevent occupational disease. It will be possible to identify occupations and sub-occupations that have an urgent need for prevention to avoid chronic skin damage leading to cancer. This research serves as a basis for policy making and clinical risk identification, as well as for daily practice of occupational physicians and employers responsible for risk assesment.Entities:
Keywords: UV personal dosimetry; UV radiation; occupational disease; occupational health prevention; occupational safety and health; skin cancer
Mesh:
Year: 2022 PMID: 35155340 PMCID: PMC8826221 DOI: 10.3389/fpubh.2021.772290
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Photograph of a test person at work. The dosimeter was worn by the subjects on the left upper arm as standard (Image/IFA).
Figure 2Data structure in GENESIS-UV using the example of skilled dock workers. Several sub-occupations (light green) can be assigned to one occupation (dark green). Detailed data is available in each case, giving a monthly daily average, as well as the daily distribution in half-hourly values, each month-related (here: example from month May).
Occupation and sub-occupation with the hightest exposure in 1 h per month.
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| April | Cable fitter or linesman | Electrical fitter (e.g., electronics technician for power plants) | 13:00–13:30 | 88.78 |
| May | Service fitter, wind farm technology | Rotor blade maintenance on wind turbines | 12:30–13:00 | 98.21 |
| June | Facade construction worker | Roof builder | 11:30–12:00 | 109.31 |
| July | Construction machine operator | Construction machine operator and canal/sewer/drain engineering worker | 13:00–14:00 | 95.82 |
| August | Overhead line worker/technician | Overhead line worker/technician | 13:30–14:30 | 117.29 |
| September | Elevation platform operator | Elevating platform operator | 13:00–14:00 | 91.38 |
All other occupations show lower hourly exposures within the respective month.
Example for determination of quota for OHP.
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| Bricklayer | 83 | 110 | 112 | 130 | 74 | 100 | 609 | 782 | 78 |
| Roofer | 303 | 353 | 349 | 351 | 255 | 310 | 1,921 | 2,243 | 86 |
| Kindergarten teacher | 81 | 122 | 91 | 114 | 51 | 43 | 502 | 1,755 | 29 |
The number of days above the tolerable reference limit is counted for every occupation and sub-occupation. Next, the sum of these numbers is set into relation to the total number of measurement days in that respective occupation/sub-occupation (#MMD). The result is the quota OHP in %.
Figure 3Relationship between the rate of days exceeding criteria (“OHP quota”) and the annual irradiation. The red arrow indicates the position of the criterion and its mapping to the distribution of the data, the gray arrow the mapping to the axes of the annual irradiation and its rate. Occupations/sub-occupations in the red shaded area do not meet the criteria for OHP, occupations/sub-occupations in the gray area are below the OD recognition criterion. The ranges are identical here, but may differ in case the criteria are defined differently.
Number of employees affected in Germany by exceeding OHP criteria based on official German Federal Statistical employment data of the different sectors.
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| Agriculture | 400,979 |
| Animal husbandry | 33,798 |
| Occupations in the horse industry | 13,104 |
| Occupations in the horse industry-horse breeding | 500 |
| Supervision and management—horse industry | 463 |
| Animal care | 30,574 |
| Viticulture | 3,939 |
| Forestry, hunting, landscape management | 48,119 |
| Horticulture | 381,094 |
| Mining, open-cast mining, blasting | 23,244 |
| Natural stone and mineral processing occupations | 13,498 |
| Woodworking and wood processing occupations | 82,107 |
| Production of wood-based materials and components | 10,185 |
| Occupations in wood, furniture, interior construction | 154,087 |
| Metal construction occupations | 284,751 |
| Supervision—metal construction and welding | 10,238 |
| Occupations in renewable energy technology | 7,206 |
| Occupations line installation, maintenance | 20,755 |
| Structural and civil engineering occupations | 745,438 |
| Screed and terrazzo laying occupations | 4,765 |
| Painters, plasterers, building sealers, building protection | 187,849 |
| Dry construction, iso-room-glass roll construction | 187,092 |
| Supply and disposal | 207,904 |
| Warehousing, postal services, delivery, cargo handling | 2,706,416 |
| Vehicle guidance in road traffic | 1,500,570 |
| Construction and transport equipment management1 | 114,600 |
| Sports instructors | 45,992 |
| Sum | 7,219,267 |