RESUMEN
BACKGROUND: Solar ultraviolet has been recognized as the main causative factor for skin cancer and is currently classified as a carcinogenic agent by International Agency for Research on Cancer. METHOD: Results from a previous phone survey conducted in 2012 in France were used to assess exposure conditions to sun among outdoor workers. Satellite data were used in combination with an exposure model to assess anatomical exposure. RESULT: The yearly median exposure of the outdoor worker population is 77 âkJ/m2 to 116â kJ/m2. Road workers, building workers, and gardeners are the more exposed. About 70% of the yearly dose estimate is due to the cumulative summer and spring exposures. CONCLUSIONS: This study highlights the role of individual factors in anatomical exposure and ranks the most exposed body parts and outdoor occupations. Prevention messages should put emphasis on spring exposure, which is an important contributor to the yearly dose.
Asunto(s)
Exposición Profesional/estadística & datos numéricos , Rayos Ultravioleta , Adulto , Anciano , Femenino , Francia , Encuestas Epidemiológicas , Humanos , Masculino , Persona de Mediana Edad , Modelos Teóricos , Análisis de RegresiónRESUMEN
OBJECTIVES: Occupational ultraviolet (UV) exposure was evaluated in a population-based sample in France. METHODS: A random survey was conducted in 2012 in individuals aged 25 to 69 years. The median daily standard erythemal UV dose (SED) was estimated from exposure time and place and matched to satellite UV records. RESULTS: A total of 889 individuals were exposed to solar UV with highest doses observed among gardeners (1.19 SED), construction workers (1.13 SED), agricultural workers (0.95 SED), and culture/art/social science workers (0.92 SED). Information and communication technology, industry, and transport workers were highly exposed (>0.70 SED). Significant factors associated with high occupational UV exposure were sex (P < 0.0001), phototype (P = 0.0003), and taking lunch outdoors (P < 0.0001). CONCLUSIONS: This study identified not only expected occupations with high UV exposure but also unexpected occupations with high exposures. This could serve as a basis for future prevention.
