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Auteur Portengen L
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Modelling of occupational respirable crystalline silica exposure for quantitative exposure assessment in community-based case-control studies / Peters S in J Environ Monit [Journal of environmental monitoring], Vol. 13, N° 11 ([02/11/2011])
Titre : Modelling of occupational respirable crystalline silica exposure for quantitative exposure assessment in community-based case-control studies Type de document : Article scientifique Auteur(s) : Peters S ; Vermeulen R ; Portengen L ; Olsson A ; Kendzia B ; Vincent R ; Savary B ; Lavoue J ; Cavallo D ; Cattaneo A ; Mirabelli D ; Plato N ; Fevotte J ; Pesch B ; Bruning T ; Straif K ; Kromhout H Appartenance auteur(s) InVS DST ; UMRESTTE Année de publication : 2011 Article en page(s) : 3262-8 Langues : Anglais (eng)
in J Environ Monit [Journal of environmental monitoring] > Vol. 13, N° 11 [02/11/2011] . - 3262-8
Mots-clés : Exposition professionnelle ; Silice ; Matrice emploi exposition ; Modèle statistique ; Cancer poumon Résumé : We describe an empirical model for exposure to respirable crystalline silica (RCS) to create a quantitative job-exposure matrix (JEM) for community-based studies. Personal measurements of exposure to RCS from Europe and Canada were obtained for exposure modelling. A mixed-effects model was elaborated, with region/country and job titles as random effect terms. The fixed effect terms included year of measurement, measurement strategy (representative or worst-case), sampling duration (minutes) and a priori exposure intensity rating for each job from an independently developed JEM (none, low, high). 23 640 personal RCS exposure measurements, covering a time period from 1976 to 2009, were available for modelling. The model indicated an overall downward time trend in RCS exposure levels of -6% per year. Exposure levels were higher in the UK and Canada, and lower in Northern Europe and Germany. Worst-case sampling was associated with higher reported exposure levels and an increase in sampling duration was associated with lower reported exposure levels. Highest predicted RCS exposure levels in the reference year (1998) were for chimney bricklayers (geometric mean 0.11 mg m(-3)), monument carvers and other stone cutters and carvers (0.10 mg m(-3)). The resulting model enables us to predict time-, job-, and region/country-specific exposure levels of RCS. These predictions will be used in the SYNERGY study, an ongoing pooled multinational community-based case-control study on lung cancer. PMID Pubmed : Pubmed : 22001827 Lien externe DOI : DOI : 10.1039/c1em10628g Corpus : Production scientifique InVS Permalink : http://opac.invs.sante.fr/index.php?lvl=notice_display&id=10015[article]Sensitivity analyses of exposure estimates from a quantitative Job-exposure Matrix (SYN-JEM) for use in community-based studies / Peters S in The Annals of occupational hygiene [Ann Occup Hyg], Vol. 57, N° 1 ([01/01/2013])
Titre : Sensitivity analyses of exposure estimates from a quantitative Job-exposure Matrix (SYN-JEM) for use in community-based studies Type de document : Article scientifique Auteur(s) : Peters S ; Kromhout H ; Portengen L ; Olsson A ; Kendzia B ; Vincent R ; Savary B ; Lavoue J ; Cavallo D ; Cattaneo A ; Mirabelli D ; Plato N ; Fevotte J ; Pesch B ; Bruning T ; Straif K ; Vermeulen R Appartenance auteur(s) InVS DST ; UMRESTTE Année de publication : 2013 Article en page(s) : 98-106 Langues : Anglais (eng)
in The Annals of occupational hygiene [Ann Occup Hyg] > Vol. 57, N° 1 [01/01/2013] . - 98-106
Mots-clés : Matrice emploi exposition ; Silice ; Exposition professionnelle ; Population générale Résumé : OBJECTIVES: We describe the elaboration and sensitivity analyses of a quantitative job-exposure matrix (SYN-JEM) for respirable crystalline silica (RCS). The aim was to gain insight into the robustness of the SYN-JEM RCS estimates based on critical decisions taken in the elaboration process.
METHODS: SYN-JEM for RCS exposure consists of three axes (job, region, and year) based on estimates derived from a previously developed statistical model. To elaborate SYN-JEM, several decisions were taken: i.e. the application of (i) a single time trend; (ii) region-specific adjustments in RCS exposure; and (iii) a prior job-specific exposure level (by the semi-quantitative DOM-JEM), with an override of 0 mg/m (3) for jobs a priori defined as non-exposed. Furthermore, we assumed that exposure levels reached a ceiling in 1960 and remained constant prior to this date. We applied SYN-JEM to the occupational histories of subjects from a large international pooled community-based case-control study. Cumulative exposure levels derived with SYN-JEM were compared with those from alternative models, described by Pearson correlation ( (Rp) ) and differences in unit of exposure (mg/m (3) -year). Alternative models concerned changes in application of job- and region-specific estimates and exposure ceiling, and omitting the a priori exposure ranking.
RESULTS: Cumulative exposure levels for the study subjects ranged from 0.01 to 60 mg/m (3) -years, with a median of 1.76 mg/m (3) -years. Exposure levels derived from SYN-JEM and alternative models were overall highly correlated (R (p) > 0.90), although somewhat lower when omitting the region estimate ( (Rp) = 0.80) or not taking into account the assigned semi-quantitative exposure level (R (p) = 0.65). Modification of the time trend (i.e. exposure ceiling at 1950 or 1970, or assuming a decline before 1960) caused the largest changes in absolute exposure levels (26-33% difference), but without changing the relative ranking ( (Rp) = 0.99).
CONCLUSIONS: Exposure estimates derived from SYN-JEM appeared to be plausible compared with (historical) levels described in the literature. Decisions taken in the development of SYN-JEM did not critically change the cumulative exposure levels. The influence of region-specific estimates needs to be explored in future risk analyses.
PMID Pubmed : Pubmed : 22805750 Lien externe DOI : DOI : 10.1093/annhyg/mes045 Corpus : Production scientifique InVS Permalink : http://opac.invs.sante.fr/index.php?lvl=notice_display&id=10920[article]