Booth Benjamin J, Jones Rena R, Turyk Mary E, Freels Sally, Patel Deven M, Stayner Leslie T, Ward Mary H
Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr., Room 6E138, Rockville, MD 20850, USA; Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA.
Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr., Room 6E138, Rockville, MD 20850, USA.
Environ Res. 2017 Nov;159:444-451. doi: 10.1016/j.envres.2017.08.023. Epub 2017 Sep 18.
Parental occupational and childhood exposures to farm animals have been positively associated with childhood brain tumors, whereas associations with childhood leukemia are equivocal. The developing immune system may be influenced by allergen, virus, or other exposures from animal sources, which may contribute to childhood cancer incidence.
Incident cancers (acute lymphoblastic leukemia [ALL], acute myeloid leukemia [AML], central nervous system [CNS], peripheral nervous system [PNS]) for children aged 0-4 diagnosed between 2003 and 2008 were obtained from nine National Cancer Institute Surveillance, Epidemiology and End Results (SEER) registries and were linked to U.S. Census of Agriculture data from 2002 and 2007 by county of diagnosis. Animal densities (animal units [AU]/km; one animal unit is 1000 pounds of animal weight) were estimated for hogs, cattle, chickens (layers and broilers, separately), equine (horses, ponies, mules, burros, donkeys), goats, sheep, turkeys, and total animals. Animal density was examined in models as both continuous (AU per km) and categorical variables (quartiles). Animal operation densities (per km) by size of operation (cattle, hogs, chickens, sheep) were modeled continuously. Rate ratios and 95% confidence intervals were estimated using Poisson regression.
We found positive associations between AML and broiler chicken densities (RR = 1.14, 95% CI = 1.02-1.26). ALL rates increased with densities of hog operations (RRper operation/100km = 1.06, 95% CI = 1.02-1.11). PNS cancer rates were inversely associated with layer chicken density (RR = 0.94, 95% CI = 0.89-0.99). No association was found between any cancer type and densities of cattle, equine, or goats.
Although limited by the ecologic study design, some of our findings are novel and should be examined in epidemiological studies with individual level data.
父母的职业暴露以及儿童时期接触农场动物与儿童脑肿瘤呈正相关,而与儿童白血病的关联尚不明确。发育中的免疫系统可能会受到来自动物源的过敏原、病毒或其他暴露的影响,这可能会导致儿童癌症发病率上升。
从九个美国国立癌症研究所监测、流行病学和最终结果(SEER)登记处获取2003年至2008年期间诊断出的0至4岁儿童的新发癌症(急性淋巴细胞白血病[ALL]、急性髓细胞白血病[AML]、中枢神经系统[CNS]、外周神经系统[PNS]),并通过诊断县与2002年和2007年的美国农业普查数据相链接。估计了猪、牛、鸡(蛋鸡和肉鸡,分别计算)、马(马、矮种马、骡子、驴、毛驴)、山羊、绵羊、火鸡以及所有动物的动物密度(动物单位[AU]/平方公里;一个动物单位为1000磅动物体重)。在模型中,动物密度既作为连续变量(每平方公里的动物单位)也作为分类变量(四分位数)进行检验。按经营规模(牛、猪、鸡、羊)对动物经营密度(每平方公里)进行连续建模。使用泊松回归估计率比和95%置信区间。
我们发现AML与肉鸡密度之间存在正相关(RR = 1.14,95% CI = 1.02 - 1.26)。ALL发病率随生猪养殖经营密度的增加而上升(每100公里经营的RR = 1.06,95% CI = 1.02 - 1.11)。PNS癌症发病率与蛋鸡密度呈负相关(RR = 0.94,95% CI = 0.89 - 0.99)。未发现任何癌症类型与牛、马或山羊的密度之间存在关联。
尽管受生态学研究设计的限制,但我们的一些发现是新颖的,应该在具有个体水平数据的流行病学研究中进行检验。