Bardin-Mikolajczak Alicja, Lissowska Jolanta, Zaridze David, Szeszenia-Dabrowska Neonila, Rudnai Peter, Fabianova Eleonora, Mates Dana, Navratilova Marie, Bencko Vladimir, Janout Vladimir, Fevotte Joelle, Fletcher Tony, 't Mannetje Andrea, Brennan Paul, Boffetta Paolo
Department of Epidemiology and Cancer Prevention, Cancer Center & Institute of Oncology, Ul. Roentgena 5, Warsaw, 02-781, Poland.
Cancer Causes Control. 2007 Aug;18(6):645-54. doi: 10.1007/s10552-007-9010-z. Epub 2007 May 23.
We sought to evaluate the role of occupation and industry in lung carcinogenesis in six countries in Central and Eastern Europe.
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.
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).
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.
我们试图评估职业和行业在中东欧六个国家肺癌致癌过程中的作用。
这项多中心病例对照研究纳入了1998年至2001年确诊的2056例男性和576例女性肺癌发病病例，以及2144例男性和727例女性对照，这些对照在性别和年龄上进行了频率匹配。应用无条件回归模型计算在控制了包括年龄（5岁分组）、研究中心（15个中心）和吸烟包年数等潜在混杂因素后的比值比。
从事生产工人工作的男性（比值比1.45，95%可信区间1.22 - 1.72）、簿记员和收银员（1.81，1.03 - 3.24）、普通农民（1.67，1.08 - 2.60）、畜牧工人（2.54，1.09 - 5.88）、矿工（2.17，1.47 - 3.23）、工具制造工和金属模型工（2.56,1.34 - 4.94）、玻璃成型工（2.55,1.18 - 5.50）、码头工人和货运搬运工（1.49,1.04 - 2.12）的比值比升高。男性中风险升高的行业包括采矿（1.75,1.20 - 2.57）、水泥、石灰或石膏制造（3.62,1.11 - 12.00）、金属铸造（2.00,1.17 - 3.45）、电动机制造（2.18,1.24 - 3.86）。对于女性，医学、牙科、兽医（2.54,1.01 - 6.31）、图书管理员和馆长（7.03,1.80 - 27.8）、裁缝（3.63,1.12 - 10.23）的比值比升高。
本研究确定了需要进一步进行解释性分析的新领域，特别是在生产工作方面，并指出了女性新的可能的癌症风险暴露源。
