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ENGLISH ABSTRACT
JOURNAL ARTICLE
[Update the wood dust exposure values included in the job-exposure matrix MatEmESp by making use of the WOODEX database].
Archivos de Prevención de Riesgos Laborales 2016 January
OBJECTIVE: To revise and complete information on prevalence and intensity of wood dust exposure among Spanish workers in the MatEmESp job-exposure matrix, based on data from the WOODEX database.
METHODS: Exposure groups by economic activity in WOODEX were linked to the occupations in MatEmESp. The WOODEX data were then used to calculate new values of exposure prevalence and intensity for the occupations included in MatEmESp.
RESULTS: A total of 18 occupations in MatEmESp were linked to exposure groups in the WOODEX database. This allowed estimation of new exposure intensity values for these 18 occupations and calculation of new exposure prevalence values for 16 of them. In addition, a new at-risk occupation, previously not in MatEmESp, was identified. The occupations with the highest prevalence values are sawmill operators (CNO-94 code 8141) and operators of machinery for making wood products (CNO-94 code 8340). The new calculations indicate that 10.5% of at-risk workers in MatEmESp are exposed to concentrations above 5 mg/m3.
CONCLUSIONS: The WOODEX data provided more detailed information about exposure profiles to wood dust and are mainly based on Spanish data. In contrast, 95% of the data on wood dust exposure inMatEmESp is based on extrapolations from other countries or on expert considerations.
METHODS: Exposure groups by economic activity in WOODEX were linked to the occupations in MatEmESp. The WOODEX data were then used to calculate new values of exposure prevalence and intensity for the occupations included in MatEmESp.
RESULTS: A total of 18 occupations in MatEmESp were linked to exposure groups in the WOODEX database. This allowed estimation of new exposure intensity values for these 18 occupations and calculation of new exposure prevalence values for 16 of them. In addition, a new at-risk occupation, previously not in MatEmESp, was identified. The occupations with the highest prevalence values are sawmill operators (CNO-94 code 8141) and operators of machinery for making wood products (CNO-94 code 8340). The new calculations indicate that 10.5% of at-risk workers in MatEmESp are exposed to concentrations above 5 mg/m3.
CONCLUSIONS: The WOODEX data provided more detailed information about exposure profiles to wood dust and are mainly based on Spanish data. In contrast, 95% of the data on wood dust exposure inMatEmESp is based on extrapolations from other countries or on expert considerations.
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