Sensitivity Analyses of Exposure Estimates from a Quantitative Job-exposure Matrix (SYN-JEM) for Use in Community-based Studies

被引:14
作者
Peters, Susan [1 ]
Kromhout, Hans [1 ]
Portengen, Lutzen [1 ]
Olsson, Ann [2 ,3 ]
Kendzia, Benjamin [4 ]
Vincent, Raymond [5 ]
Savary, Barbara [5 ]
Lavoue, Jerome [6 ]
Cavallo, Domenico [7 ]
Cattaneo, Andrea [8 ]
Mirabelli, Dario [9 ,10 ]
Plato, Nils [3 ]
Fevotte, Joelle [11 ]
Pesch, Beate [4 ]
Bruning, Thomas [4 ]
Straif, Kurt [2 ]
Vermeulen, Roel [1 ,12 ]
机构
[1] Univ Utrecht, Inst Risk Assessment Sci, Environm Epidemiol Div, NL-3584 CK Utrecht, Netherlands
[2] Int Agcy Res Canc, F-69008 Lyon, France
[3] Karolinska Inst, Inst Environm Med, S-17176 Stockholm, Sweden
[4] German Social Accid Insurance, Inst Prevent & Occupat Med, D-44789 Bochum, Germany
[5] Inst Natl Rech & Secur, F-54519 Vandoeuvre Les Nancy, France
[6] Univ Montreal, Res Ctr Univ Montreal Hosp Ctr, Montreal, PQ H2W1V1, Canada
[7] Univ Insubria, Dept Chem & Environm Sci, I-21100 Como, Italy
[8] Univ Milan, Dept Occupat & Environm Hlth, I-20122 Milan, Italy
[9] CPO Piemonte, Canc Epidemiol Unit, I-10126 Turin, Italy
[10] Univ Turin, I-10126 Turin, Italy
[11] Univ Lyon, Epidemiol Res & Surveillance Unit Transport Occup, F-94415 Lyon, France
[12] Univ Med Ctr, Julius Ctr Hlth Sci & Primary Care, NL-3584 CX Utrecht, Netherlands
基金
美国国家卫生研究院;
关键词
exposure assessment; silica; general population; occupational; retrospective; CRYSTALLINE SILICA EXPOSURE; VERMONT GRANITE WORKERS; LUNG-CANCER; OCCUPATIONAL-EXPOSURE; DIESEL EXHAUST; BITUMEN FUME; MORTALITY; CARCINOGENS; INDUSTRY; MINERS;
D O I
10.1093/annhyg/mes045
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 (R-p) 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 (R-p = 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 (R-p = 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.
引用
收藏
页码:98 / 106
页数:9
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