TY - JOUR
T1 - Pleural mesothelioma risk by industry and occupation
T2 - results from the Multicentre Italian Study on the Etiology of Mesothelioma (MISEM)
AU - Migliore, Enrica
AU - Consonni, Dario
AU - Peters, Susan
AU - Vermeulen, Roel C.H.
AU - Kromhout, Hans
AU - Baldassarre, Antonio
AU - Cavone, Domenica
AU - Chellini, Elisabetta
AU - Magnani, Corrado
AU - Mensi, Carolina
AU - Merler, Enzo
AU - Musti, Marina
AU - Marinaccio, Alessandro
AU - Mirabelli, Dario
N1 - Funding Information:
MISEM was funded by a grant (to DM) from the Centro Controllo Malattie (Centre for Disease Control and Prevention) of the Italian Ministry of Health, 2012 research program. Data management and analysis was further financially supported by a grant (to DM) from the Istituto Nazionale per l’Assicurazione contro gli Infortuni sul Lavoro (INAIL—Italian Insurance Institute against Accidents at Work and Occupational Diseases), internal research plan 2016–2018, ID 55.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/6/18
Y1 - 2022/6/18
N2 - Background: The Italian mesothelioma registry (ReNaM) estimates mesothelioma incidence and addresses its etiology by assessing cases’ exposures but cannot provide relative risk estimates. Objectives: i) To estimate pleural mesothelioma relative risk by industry and occupation and by ReNaM categories of asbestos exposure; and ii) to provide quantitative estimates of the exposure–response relationship. Methods: A population-based mesothelioma case–control study was conducted in 2012–2014 in five Italian regions. Cases and age and gender frequency-matched controls were interviewed using a standard ReNaM questionnaire. Experts coded work histories according to international standard classifications of industries/occupations and assigned asbestos exposure according to ReNaM categories. Job codes were further linked to SYN-JEM, a quantitative job-exposure matrix. Cumulative exposure (CE, f/mL-years) was computed by summing individual exposures over lifetime work history. Unconditional logistic regression analyses adjusted by gender, centre and age were fitted to calculate odds ratios (OR) and 95% confidence intervals (CI). Results: Among men we observed increased risks of mesothelioma in many industries and associated occupations, including: asbestos-cement (OR = 3.43), manufacture of railroad equipment (OR = 8.07), shipbuilding and repairing (OR = 2.34), iron and steel mills (OR = 2.15), and construction (OR = 1.94). ORs by ReNaM exposure categories were as follows: definite/probable occupational exposure (OR = 15.8, men; OR = 8.80, women), possible occupational (OR = 2.82, men; OR = 3.70, women), sharing home with an exposed worker (OR = 2.55, men; OR = 10.3, women), residential (OR = 2.14, men; OR = 3.24, women). Based on SYN-JEM, mesothelioma risk increased by almost 30% per f/mL-year (OR = 1.28, CI 1.16–1.42). Conclusions: Out study involved five regions with historically different types and levels of industrial development, encompassing one third of the Italian population and half of Italian mesothelioma cases. As expected, we found increased pleural mesothelioma risk in the asbestos industry and in trades with large consumption of asbestos materials. Clear associations were found using both qualitative (ReNaM classifications) and quantitative estimates (using SYN-JEM) of past asbestos exposure, with clear evidence of an exposure–response relationship.
AB - Background: The Italian mesothelioma registry (ReNaM) estimates mesothelioma incidence and addresses its etiology by assessing cases’ exposures but cannot provide relative risk estimates. Objectives: i) To estimate pleural mesothelioma relative risk by industry and occupation and by ReNaM categories of asbestos exposure; and ii) to provide quantitative estimates of the exposure–response relationship. Methods: A population-based mesothelioma case–control study was conducted in 2012–2014 in five Italian regions. Cases and age and gender frequency-matched controls were interviewed using a standard ReNaM questionnaire. Experts coded work histories according to international standard classifications of industries/occupations and assigned asbestos exposure according to ReNaM categories. Job codes were further linked to SYN-JEM, a quantitative job-exposure matrix. Cumulative exposure (CE, f/mL-years) was computed by summing individual exposures over lifetime work history. Unconditional logistic regression analyses adjusted by gender, centre and age were fitted to calculate odds ratios (OR) and 95% confidence intervals (CI). Results: Among men we observed increased risks of mesothelioma in many industries and associated occupations, including: asbestos-cement (OR = 3.43), manufacture of railroad equipment (OR = 8.07), shipbuilding and repairing (OR = 2.34), iron and steel mills (OR = 2.15), and construction (OR = 1.94). ORs by ReNaM exposure categories were as follows: definite/probable occupational exposure (OR = 15.8, men; OR = 8.80, women), possible occupational (OR = 2.82, men; OR = 3.70, women), sharing home with an exposed worker (OR = 2.55, men; OR = 10.3, women), residential (OR = 2.14, men; OR = 3.24, women). Based on SYN-JEM, mesothelioma risk increased by almost 30% per f/mL-year (OR = 1.28, CI 1.16–1.42). Conclusions: Out study involved five regions with historically different types and levels of industrial development, encompassing one third of the Italian population and half of Italian mesothelioma cases. As expected, we found increased pleural mesothelioma risk in the asbestos industry and in trades with large consumption of asbestos materials. Clear associations were found using both qualitative (ReNaM classifications) and quantitative estimates (using SYN-JEM) of past asbestos exposure, with clear evidence of an exposure–response relationship.
KW - Asbestos
KW - Case–control study
KW - Exposure assessment
KW - Occupational exposure
KW - Pleural mesothelioma
UR - http://www.scopus.com/inward/record.url?scp=85132125520&partnerID=8YFLogxK
U2 - 10.1186/s12940-022-00869-5
DO - 10.1186/s12940-022-00869-5
M3 - Article
C2 - 35717324
AN - SCOPUS:85132125520
SN - 1476-069X
VL - 21
JO - Environmental Health: A Global Access Science Source
JF - Environmental Health: A Global Access Science Source
M1 - 60
ER -