Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships

被引：2

作者：

Ohlander, Johan ^{[1
,35
]}

Kromhout, Hans ^{[1
]}

Vermeulen, Roel ^{[1
,2
]}

Portengen, Luetzen ^{[1
]}

Kendzia, Benjamin ^{[3
]}

Savary, Barbara ^{[4
]}

Cavallo, Domenico ^{[5
]}

Cattaneo, Andrea ^{[6
]}

Migliori, Enrica ^{[7
,8
]}

Richiardi, Lorenzo ^{[7
,8
]}

Plato, Nils ^{[9
]}

Wichmann, Heinz -Erich ^{[10
,11
]}

Karrasch, Stefan ^{[10
,12
]}

Consonni, Dario ^{[13
]}

Landi, Maria Teresa ^{[14
]}

Caporaso, Neil E. ^{[14
]}

Siemiatycki, Jack ^{[15
]}

Gustavsson, Per

Joeckel, Karl -Heinz ^{[16
]}

Ahrens, Wolfgang ^{[17
]}

Pohlabeln, Hermann ^{[17
]}

Fernandez-Tardon, Guillermo ^{[18
]}

Zaridze, David ^{[19
]}

Lissowska, Jolanta ^{[20
]}

Swiatkowska, Beata ^{[21
]}

Field, John K. ^{[22
]}

Mclaughlin, John R. ^{[23
]}

Demers, Paul A. ^{[23
]}

Pandics, Tamas ^{[24
]}

Forastiere, Francesco ^{[25
]}

Fabianova, Eleonora ^{[26
]}

Schejbalova, Miriam ^{[27
]}

Foretova, Lenka ^{[28
]}

Janout, Vladimir ^{[29
]}

Mates, Dana ^{[30
]}

Barul, Christine ^{[31
]}

Bruening, Thomas

Behrens, Thomas

Straif, Kurt ^{[32
,33
]}

Schuz, Joachim ^{[34
]}

Olsson, Ann ^{[34
]}

Peters, Susan

机构：

[1] Univ Utrecht, Inst Risk Assessment Sci, Utrecht, Netherlands

[2] Univ Med Ctr, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands

[3] Univ Bochum, Inst Prevent & Occupat Med German Social Accid Ins, Inst Ruhr, Bochum, Germany

[4] Inst Natl Rech & Secur, Vandoeuvre Les Nancy, France

[5] Univ Insubria, Dept Chem & Environm Sci, Como, Italy

[6] Univ Milan, Dept Occupat & Environm Hlth, Milan, Italy

[7] CeRMS, Canc Epidemiol Unit, Turin, Italy

[8] Univ Turin, Turin, Italy

[9] Karolinska Inst, Inst Environm Med, Stockholm, Sweden

[10] Inst Epidemiol, German Res Ctr Environm Hlth, Helmholtz Zent Munchen, Neuherberg, Germany

[11] Ludwig Maximilians Univ Munchen, Inst Med Informat Biometrie Epidemiol, Munich, Germany

[12] Univ Hosp LMU Munich, Inst & Clin Occupat Social & Environm Med, Comprehens Pneumol Ctr Munich, Munich, Germany

[13] Osped Maggiore Policlin, Fdn IRCCS CaGranda, Unit Epidemiol, Milan, Italy

[14] NCI, Bethesda, MD USA

[15] Univ Montreal Hosp Ctr, Univ Montreal, Res Ctr, Montreal, PQ, Canada

[16] Univ Duisburg Essen, Inst Med Informat Biometry & Epidemiol, Essen, Germany

[17] Bremen Inst Prevent Res & Social Med, Bremen, Germany

[18] Inst Univ Oncol, Univ Oviedo, Oviedo, Spain

[19] Russian Canc Res Ctr, Moscow, Russia

[20] Inst Oncol, M Sklodowska Curie Canc Ctr, Warsaw, Poland

[21] Nofer Inst Occupat Med, Lodz, Poland

[22] Canc Res Ctr, Univ Liverpool, Inst Translat Med, Dept Mol & Clin Canc Med,Roy Castle Lung Canc Res, Liverpool, England

[23] Occupat Canc Res Ctr, Toronto, ON, Canada

[24] Natl Inst Environm Hlth, Budapest, Hungary

[25] Dept Epidemiol, Reg Hlth Serv, Rome, Italy

[26] Reg Author Publ Hlth, Banska Bystrica, Slovakia

[27] Charles Univ Prague, Inst Hyg & Epidemiol, Fac Med 1, Prague, Czech Republic

[28] Masaryk Mem Canc Inst, Brno, Czech Republic

[29] Palacky Univ, Fac Med & Dent, Olomouc, Czech Republic

[30] Inst Publ Hlth, Bucharest, Romania

[31] Inst Rech Sante Environm & travail, Guadeloupe, France

[32] ISglobal, Barcelona, Spain

[33] Boston Coll, Boston, MA USA

[34] Int Agcy Res Canc, Lyon, France

[35] Univ Utrecht, Inst Risk Assessment Sci, Utrecht, Netherlands

来源：

SCANDINAVIAN JOURNAL OF WORK ENVIRONMENT & HEALTH | 2024年

关键词：

case-control study; general population; JEM; lung neoplasm; quantitative exposure assessment; respirable quartz exposure; OCCUPATIONAL-EXPOSURE; RISK-ASSESSMENT; CARCINOGENS; WORKPLACE; COHORT;

D O I：

10.5271/sjweh.4140

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Objectives The quantitative job -exposure matrix SYN-JEM consists of various dimensions: job -specific estimates, region -specific estimates, and prior expert ratings of jobs by the semi -quantitative DOM-JEM. We analyzed the effect of different JEM dimensions on the exposure-response relationships between occupational silica exposure and lung cancer risk to investigate how these variations influence estimates of exposure by a quantitative JEM and associated health endpoints. Methods Using SYN-JEM, and alternative SYN-JEM specifications with varying dimensions included, cumulative silica exposure estimates were assigned to 16 901 lung cancer cases and 20 965 controls pooled from 14 international community -based case -control studies. Exposure-response relationships based on SYN-JEM and alternative SYN-JEM specifications were analyzed using regression analyses (by quartiles and log -transformed continuous silica exposure) and generalized additive models (GAM), adjusted for age, sex, study, cigarette pack -years, time since quitting smoking, and ever employment in occupations with established lung cancer risk. Results SYN-JEM and alternative specifications generated overall elevated and similar lung cancer odds ratios ranging from 1.13 (1st quartile) to 1.50 (4th quartile). In the categorical and log -linear analyses SYN-JEM with all dimensions included yielded the best model fit, and exclusion of job -specific estimates from SYN-JEM yielded the poorest model fit. Additionally, GAM showed the poorest model fit when excluding job -specific estimates. Conclusion The established exposure-response relationship between occupational silica exposure and lung cancer was marginally influenced by varying the dimensions of SYN-JEM. Optimized modelling of exposure-response relationships will be obtained when incorporating all relevant dimensions, namely prior rating, job, time, and region. Quantitative job -specific estimates appeared to be the most prominent dimension for this general population JEM.

引用

页码：178 / 186

页数：9

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