OBJECTIVE: We sought to evaluate the role of occupation and industry in lung carcinogenesis in six countries in Central and Eastern Europe. METHODS: This multi-center case-control study included 2,056 male and 576 female lung cancer incidence cases diagnosed from 1998 to 2001 and 2,144 male and 727 female controls frequency-matched for sex and age. Unconditional regression models were applied to calculate the odds ratios after controlling for potential confounders including age (5-year groups), study center (15 centers), and tobacco pack-years. RESULTS: Elevated odds ratios (ORs) were found for men employed as production workers (OR 1.45, 95% CI 1.22-1.72), bookkeepers and cashiers (1.81, 1.03-3.24), general farmers (1.67, 1.08-2.60), livestock workers (2.54, 1.09-5.88), miners (2.17, 1.47-3.23), toolmakers and metal patternmakers (2.56, 1.34-4.94), glass formers (2.55, 1.18-5.50), dockworkers, and freight handlers (1.49, 1.04-2.12). Industries with elevated risk among men included mining (1.75, 1.20-2.57), manufacture of cement, lime, or plaster (3.62, 1.11-12.00), casting of metals (2.00, 1.17-3.45), manufacture of electric motors (2.18, 1.24-3.86). For women, elevated ORs were found for medical, dental, veterinary doctors (2.54, 1.01-6.31), librarians and curators (7.03, 1.80-27.80), sewers 3.63 (1.12-10.23). CONCLUSIONS: This study identifies new areas for further, explanatory analyses, especially in production work, and indicates new possible sources of exposure to cancer risk for women.
OBJECTIVE: We sought to evaluate the role of occupation and industry in lung carcinogenesis in six countries in Central and Eastern Europe. METHODS: This multi-center case-control study included 2,056 male and 576 female lung cancer incidence cases diagnosed from 1998 to 2001 and 2,144 male and 727 female controls frequency-matched for sex and age. Unconditional regression models were applied to calculate the odds ratios after controlling for potential confounders including age (5-year groups), study center (15 centers), and tobacco pack-years. RESULTS: Elevated odds ratios (ORs) were found for men employed as production workers (OR 1.45, 95% CI 1.22-1.72), bookkeepers and cashiers (1.81, 1.03-3.24), general farmers (1.67, 1.08-2.60), livestock workers (2.54, 1.09-5.88), miners (2.17, 1.47-3.23), toolmakers and metal patternmakers (2.56, 1.34-4.94), glass formers (2.55, 1.18-5.50), dockworkers, and freight handlers (1.49, 1.04-2.12). Industries with elevated risk among men included mining (1.75, 1.20-2.57), manufacture of cement, lime, or plaster (3.62, 1.11-12.00), casting of metals (2.00, 1.17-3.45), manufacture of electric motors (2.18, 1.24-3.86). For women, elevated ORs were found for medical, dental, veterinary doctors (2.54, 1.01-6.31), librarians and curators (7.03, 1.80-27.80), sewers 3.63 (1.12-10.23). CONCLUSIONS: This study identifies new areas for further, explanatory analyses, especially in production work, and indicates new possible sources of exposure to cancer risk for women.
Authors: Sania Amr; Beverly Wolpert; Christopher A Loffredo; Yun-Ling Zheng; Peter G Shields; Raymond Jones; Curtis C Harris Journal: J Occup Environ Med Date: 2008-10 Impact factor: 2.162
Authors: Lee E Moore; Paul Brennan; Sara Karami; Idan Menashe; Sonja I Berndt; Linda M Dong; Allison Meisner; Meredith Yeager; Stephen Chanock; Joanne Colt; Kendra Schwartz; Faith Davis; David Zaridze; Vsevolod Mattveev; Vladimir Janout; Hellena Kollarova; Vladimir Bencko; Marie Navratilova; Neonilia Szeszenia-Dabrowska; Dana Mates; Ivana Holcatova; Paolo Boffetta; Wong-Ho Chow; Philip S Rosenberg; Nathaniel Rothman Journal: Cancer Res Date: 2009-10-06 Impact factor: 12.701
Authors: Aude Lacourt; Javier Pintos; Jérôme Lavoué; Lesley Richardson; Jack Siemiatycki Journal: BMC Public Health Date: 2015-09-22 Impact factor: 3.295
Authors: Dario Consonni; Sara De Matteis; Jay H Lubin; Sholom Wacholder; Margaret Tucker; Angela Cecilia Pesatori; Neil E Caporaso; Pier Alberto Bertazzi; Maria Teresa Landi Journal: Am J Epidemiol Date: 2010-01-04 Impact factor: 4.897