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An. bras. dermatol ; 93(1): 27-32, Jan.-Feb. 2018. tab, graf
Artigo em Inglês | LILACS | ID: biblio-887139

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Abstract: Background: Occupational diseases are very prevalent in the world, especially in developing countries. Occupational dermatoses are responsible for most of these cases. However, epidemiological studies are rare in Brazil. Objectives: To verify the panorama of occupational skin diseases in Brazil describing frequencies of work-related dermatoses and their sociodemographic and occupational patterns. Methods: We used retrospective data from the Notifiable Diseases Information System, (from 2007-2014) tabulated with the Tab program for Windows - TabWin12. We used intentional non-probability sampling and sequential selection, considering all notified occupational dermatoses. Results: All cases of occupational dermatoses referred to in the period were analyzed (n = 4710). Males and the age group of 35-49 years were the most affected. The most affected body area was the upper limb (34.2%) and the hand (25.4%). The "causative agent" field in the forms was not filled in 69.4% of cases, with chrome as the most prevalent cause reported (11.8%). ICD-10 codes more prevalent were L23, L24, and L25, corresponding to 34.2% of the sample. In total, 29% of patients needed to take a sick leave. No cases evolved to death and there were 0.2% of total as permanent disability. Study limitations: The amount of missing information for various items in the system draws attention. Conclusions: Treatment of patients with occupational dermatitis include the identification and removal of the causative agent and specific treatment of the disease. Diagnosis delay in cases of occupational dermatoses brings social and financial consequences to the work and life of workers.


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Humanos , Masculino , Feminino , Adulto , Adulto Jovem , Dermatite Ocupacional/epidemiologia , Brasil/epidemiologia , Demografia/estatística & dados numéricos , Prevalência , Estudos Transversais , Dermatite Ocupacional/etiologia , Distribuição por Sexo , Distribuição por Idade , Notificação de Doenças/estatística & dados numéricos
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