TY - JOUR
T1 - Development of a quantitative North and Central European job exposure matrix for wood dust
AU - Basinas, Ioannis
AU - Liukkonen, Tuula
AU - Sigsgaard, Torben
AU - Andersen, Nils T
AU - Vestergaard, Jesper M
AU - Galea, Karen S
AU - van Tongeren, Martie
AU - Wiggans, Ruth
AU - Savary, Barbara
AU - Eduard, Wijnand
AU - Kolstad, Henrik A
AU - Vested, Anne
AU - Kromhout, Hans
AU - Schlünssen, Vivi
N1 - Funding Information:
Funding for this study was provided by the Danish Working Environment Research Fund (grant number: 29-2011-09/200110081344 and grant number 43-2014-03/20140016763).
Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press on behalf of the British Occupational Hygiene Society.
PY - 2023/7/1
Y1 - 2023/7/1
N2 - 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.
AB - 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.
KW - exposure database
KW - exposure modelling
KW - historical exposure assessment
KW - time trends
KW - wood dust
UR - http://www.scopus.com/inward/record.url?scp=85164271626&partnerID=8YFLogxK
U2 - 10.1093/annweh/wxad021
DO - 10.1093/annweh/wxad021
M3 - Article
C2 - 37167588
SN - 2398-7308
VL - 67
SP - 758
EP - 771
JO - Annals of Work Exposures and Health
JF - Annals of Work Exposures and Health
IS - 6
M1 - wxad021
ER -