OBJECTIVES: Retrospective exposure assessment remains a problematic aspect of population-based case-control studies. Different methods have been developed, including case-by-case expert assessment and job-exposure matrices (JEM). The present analyses compare exposure prevalence and risk estimates derived by different exposure assessment methods. METHODS: In the context of a case-control study conducted in seven European countries, exposure was estimated for asbestos, diesel motor emissions (DME) and crystalline silica, using three different assessment methods. First, experts assigned exposures to all reported jobs on a case-by-case basis. Second, a population-specific JEM (PSJEM) was developed using the expert assessments of controls only, and re-applied to all study subjects. Third, an independent general population JEM (GPJEM) was created by occupational exposure experts not involved in the original study, and applied to study subjects. Results from these methods were compared. RESULTS: There was poor to fair agreement in assigned exposure between expert assessment and the GPJEM (kappas: asbestos 0.17; DME 0.48; silica 0.38). Exposure prevalence was significantly heterogeneous (p<0.01) between countries for all three agents and assessment methods. For asbestos and DME, significant country heterogeneity in risk estimates was observed when using expert assessment. When applying the GPJEM, the heterogeneity in risk estimates for asbestos and, to some extent, silica diminished. CONCLUSIONS: It has been previously advocated that the expert assessment approach to assign exposures based on detailed questionnaire responses provides more accurate exposure estimates than JEM-based results. However, current results demonstrated little, if any, advantage of case-by-case assessment when compared to a JEM approach.
OBJECTIVES: Retrospective exposure assessment remains a problematic aspect of population-based case-control studies. Different methods have been developed, including case-by-case expert assessment and job-exposure matrices (JEM). The present analyses compare exposure prevalence and risk estimates derived by different exposure assessment methods. METHODS: In the context of a case-control study conducted in seven European countries, exposure was estimated for asbestos, diesel motor emissions (DME) and crystalline silica, using three different assessment methods. First, experts assigned exposures to all reported jobs on a case-by-case basis. Second, a population-specific JEM (PSJEM) was developed using the expert assessments of controls only, and re-applied to all study subjects. Third, an independent general population JEM (GPJEM) was created by occupational exposure experts not involved in the original study, and applied to study subjects. Results from these methods were compared. RESULTS: There was poor to fair agreement in assigned exposure between expert assessment and the GPJEM (kappas: asbestos 0.17; DME 0.48; silica 0.38). Exposure prevalence was significantly heterogeneous (p<0.01) between countries for all three agents and assessment methods. For asbestos and DME, significant country heterogeneity in risk estimates was observed when using expert assessment. When applying the GPJEM, the heterogeneity in risk estimates for asbestos and, to some extent, silica diminished. CONCLUSIONS: It has been previously advocated that the expert assessment approach to assign exposures based on detailed questionnaire responses provides more accurate exposure estimates than JEM-based results. However, current results demonstrated little, if any, advantage of case-by-case assessment when compared to a JEM approach.
Authors: Ann C Olsson; Per Gustavsson; Hans Kromhout; Susan Peters; Roel Vermeulen; Irene Brüske; Beate Pesch; Jack Siemiatycki; Javier Pintos; Thomas Brüning; Adrian Cassidy; Heinz-Erich Wichmann; Dario Consonni; Maria Teresa Landi; Neil Caporaso; Nils Plato; Franco Merletti; Dario Mirabelli; Lorenzo Richiardi; Karl-Heinz Jöckel; Wolfgang Ahrens; Hermann Pohlabeln; Jolanta Lissowska; Neonila Szeszenia-Dabrowska; David Zaridze; Isabelle Stücker; Simone Benhamou; Vladimir Bencko; Lenka Foretova; Vladimir Janout; Peter Rudnai; Eleonora Fabianova; Rodica Stanescu Dumitru; Isabelle M Gross; Benjamin Kendzia; Francesco Forastiere; Bas Bueno-de-Mesquita; Paul Brennan; Paolo Boffetta; Kurt Straif Journal: Am J Respir Crit Care Med Date: 2010-10-29 Impact factor: 21.405
Authors: Calvin B Ge; Melissa C Friesen; Hans Kromhout; Susan Peters; Nathaniel Rothman; Qing Lan; Roel Vermeulen Journal: Ann Work Expo Health Date: 2018-11-12 Impact factor: 2.179
Authors: Melissa C Friesen; Anjoeka Pronk; David C Wheeler; Yu-Cheng Chen; Sarah J Locke; Dennis D Zaebst; Molly Schwenn; Alison Johnson; Richard Waddell; Dalsu Baris; Joanne S Colt; Debra T Silverman; Patricia A Stewart; Hormuzd A Katki Journal: Ann Occup Hyg Date: 2012-11-25
Authors: Sara De Matteis; Dario Consonni; Jay H Lubin; Margaret Tucker; Susan Peters; Roel C H Vermeulen; Hans Kromhout; Pier Alberto Bertazzi; Neil E Caporaso; Angela C Pesatori; Sholom Wacholder; Maria Teresa Landi Journal: Int J Epidemiol Date: 2012-12-24 Impact factor: 7.196
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Authors: Sarah J Locke; Nicole C Deziel; Dong-Hee Koh; Barry I Graubard; Mark P Purdue; Melissa C Friesen Journal: Am J Ind Med Date: 2017-02 Impact factor: 2.214
Authors: Jennifer A Makelarski; Paul A Romitti; Carissa M Rocheleau; Trudy L Burns; Patricia A Stewart; Martha A Waters; Christina C Lawson; Erin M Bell; Shao Lin; Gary M Shaw; Richard S Olney Journal: Birth Defects Res A Clin Mol Teratol Date: 2014-08-15
Authors: Sara De Matteis; Dario Consonni; Jay H Lubin; Margaret Tucker; Susan Peters; Pier Alberto Bertazzi; Neil E Caporaso; Angela C Pesatori; Sholom Wacholder; Maria Teresa Landi; Roel C H Vermeulen; Hans Kromhout Journal: Int J Epidemiol Date: 2013-12 Impact factor: 7.196
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