Vermeulen Roel, Li Guilan, Lan Qing, Dosemeci Mustafa, Rappaport Stephen M, Bohong Xu, Smith Martyn T, Zhang Luoping, Hayes Richard B, Linet Martha, Mu Ruidong, Wang Lan, Xu Jianing, Yin Songnian, Rothman Nathaniel
Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 6120 Executive Boulevard, Rockville, MD 20892, USA.
Ann Occup Hyg. 2004 Mar;48(2):105-16. doi: 10.1093/annhyg/meh005.
We carried out a detailed exposure assessment of benzene and toluene in two shoe factories in Tianjin, China. Our goal was to identify workers with a broad range of benzene exposures, for an epidemiologic study relating exposure to early biologic effects.
A comprehensive exposure survey program was initiated. Over a period of 16 months, 2783 personal solvent exposure samples were collected in two workplaces from 250 workers. Mixed-effects models were used to identify factors affecting exposure. Principal component analyses (PCA) and subsequent regression analyses on the scores of the identified principal components were used to relate potential co-exposures to various exposure sources present in the workplace.
The mean benzene exposure level was 21.86 p.p.m. (10th-90th percentiles 5.23-50.63 p.p.m.) in the smaller shoe factory (factory A) and 3.46 p.p.m. (10th-90th percentiles 0.20-7.00 p.p.m.) in the larger shoe factory (factory B). Within-factory exposure levels differed among job titles and were higher for subjects directly involved in handling glues. In contrast, mean toluene levels were relatively similar in the two factories (factory A, 9.52 p.p.m.; factory B, 15.88 p.p.m.). A seasonal trend was identified for both benzene and toluene in factory B. This could be explained in part by changes in air movement and ventilation patterns occurring during the year. A seasonal trend was not present in the smaller shoe factory, where general ventilation was absent. Supplemental analysis showed that exposure levels to other hydrocarbons were low (< or =5 p.p.m.), less than 5% of their respective ACGIH threshold limit values, and generally comparable in the two factories. PCA showed that co-exposures in factory B could largely be explained by glue sources that were used in distinct areas in the workplace.
We demonstrated the occurrence of a broad range of benzene exposure levels in two shoe manufacturing factories in Tianjin, China. Benzene and toluene exposures were determined in part by the degree of contact with glues, the benzene and toluene content of each glue, air movement and ventilation patterns. The availability of long-term monthly personal monitoring data provides an excellent opportunity to estimate individual exposures at different times during the 1 yr period of observation.
我们对中国天津的两家鞋厂进行了苯和甲苯的详细暴露评估。我们的目标是识别出苯暴露水平范围广泛的工人,用于一项将暴露与早期生物学效应相关联的流行病学研究。
启动了一项全面的暴露调查计划。在16个月的时间里,从250名工人的两个工作场所收集了2783份个人溶剂暴露样本。使用混合效应模型来识别影响暴露的因素。对已识别主成分的得分进行主成分分析(PCA)及后续回归分析,以将潜在的共同暴露与工作场所中存在的各种暴露源联系起来。
较小的鞋厂(A厂)苯的平均暴露水平为21.86 ppm(第10 - 90百分位数为5.23 - 50.63 ppm),较大的鞋厂(B厂)为3.46 ppm(第10 - 90百分位数为0.20 - 7.00 ppm)。厂内不同工种的暴露水平存在差异,直接接触胶水的工人暴露水平更高。相比之下,两家工厂甲苯的平均水平相对相似(A厂为9.52 ppm;B厂为15.88 ppm)。在B厂,苯和甲苯均呈现季节性趋势。这部分可以通过一年中空气流动和通风模式的变化来解释。较小的鞋厂不存在季节性趋势,因为那里没有一般通风设备。补充分析表明,其他碳氢化合物的暴露水平较低(≤5 ppm),低于各自美国政府工业卫生学家会议(ACGIH)阈限值的5%,并且在两家工厂中总体相当。PCA表明,B厂的共同暴露在很大程度上可以由工作场所不同区域使用的胶水来源来解释。
我们证明了在中国天津的两家制鞋厂中存在广泛的苯暴露水平范围。苯和甲苯的暴露部分取决于与胶水的接触程度、每种胶水的苯和甲苯含量、空气流动和通风模式。长期月度个人监测数据的可得性为估计观察期1年中不同时间的个体暴露提供了绝佳机会。