Development of a quantitative North and Central European job exposure matrix for wood dust

Author:

Basinas Ioannis123ORCID,Liukkonen Tuula4,Sigsgaard Torben3,Andersen Nils T3,Vestergaard Jesper M5,Galea Karen S2,van Tongeren Martie1ORCID,Wiggans Ruth1,Savary Barbara6,Eduard Wijnand7,Kolstad Henrik A5,Vested Anne35,Kromhout Hans8ORCID,Schlünssen Vivi3ORCID

Affiliation:

1. Centre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre , Manchester , United Kingdom

2. Institute of Occupational Medicine , Edinburgh , United Kingdom

3. Department of Public Health, Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University , Aarhus , Denmark

4. Finnish Institute of Occupational Health , Helsinki , Finland

5. Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital , Aarhus , Denmark

6. INRS, Centre de Lorraine , Vandoeuvre Les Nancy , France

7. Department of Chemical and Biological Work Environment, National Institute of Occupational Health , Oslo , Norway

8. Institute for Risk Assessment Sciences, Utrecht University , Utrecht , The Netherlands

Abstract

Abstract Wood dust is an established carcinogen also linked to several non malignant respiratory disorders. A major limitation in research on wood dust and its health effects is the lack of (historical) quantitative estimates of occupational exposure for use in general population-based case-control or cohort studies. The present study aimed to develop a multinational quantitative Job Exposure Matrix (JEM) for wood dust exposure using exposure data from several Northern and Central European countries. For this, an occupational exposure database containing 12653 personal wood dust measurements collected between 1978 and 2007 in Denmark, Finland, France, The Netherlands, Norway, and the United Kingdom (UK) was established. Measurement data were adjusted for differences in inhalable dust sampling efficiency resulting from the use of different dust samplers and analysed using linear mixed effect regression with job codes (ISCO-88) and country treated as random effects. Fixed effects were the year of measurement, the expert assessment of exposure intensity (no, low, and high exposure) for every ISCO-88 job code from an existing wood dust JEM and sampling duration. The results of the models suggest that wood dust exposure has declined annually by approximately 8%. Substantial differences in exposure levels between countries were observed with the highest levels in the United Kingdom and the lowest in Denmark and Norway, albeit with similar job rankings across countries. The jobs with the highest predicted exposure are floor layers and tile setters, wood-products machine operators, and building construction labourers with geometric mean levels for the year 1997 between 1.7 and 1.9 mg/m3. The predicted exposure estimates by the model are compared with the results of wood dust measurement data reported in the literature. The model predicted estimates for full-shift exposures were used to develop a time-dependent quantitative JEM for exposure to wood dust that can be used to estimate exposure for participants of general population studies in Northern European countries on the health effects from occupational exposure to wood dust.

Funder

Danish Working Environment Research Fund

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health

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