Yu Chu-Ling, Wang Su-Fen, Pan Pi-Chen, Wu Ming-Tsang, Ho Chi-Kung, Smith Thomas J, Li Yi, Pothier Lucille, Christiani David C
Occupational Health Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA.
Am J Epidemiol. 2006 Aug 1;164(3):200-7. doi: 10.1093/aje/kwj182. Epub 2006 Jun 5.
The authors conducted a population-based, case-control study in Kaohsiung, southern Taiwan, Republic of China, to investigate the association between residential petrochemical exposure and leukemia risk among subjects 29 years of age and younger. Between November 1997 and June 2003, 171 cases and 410 controls matched for age and sex were recruited. Since assessment of petrochemical impacts depends on accurate exposure estimates, the authors developed a procedure using geographic information system tools to assign subjects' exposure. The resulting individual-level exposure estimates (the exposure opportunity score) are an integrated exposure measure that accounts for subjects' mobility, length of stay at each residence, distance to petrochemical plant(s), monthly prevailing wind direction, and multiple petrochemical pollution sources. Different conditional logistic regression models were fitted for subjects aged 0-19 and 20-29 years to evaluate separately childhood versus adulthood leukemia. No overall association was observed for the younger age group. However, residential petrochemical exposure was a significant risk factor for leukemia for the older age group. For one unit of increase in the log-transformed exposure opportunity score, the adjusted odds ratio was 1.54 (95 percent confidence interval: 1.14, 2.09). This study illustrates the utility of geographic information system tools for providing refined exposure estimates for residential exposure to petrochemical pollution.
作者在中国台湾地区高雄市开展了一项基于人群的病例对照研究,以调查29岁及以下人群的居住环境中接触石化产品与白血病风险之间的关联。在1997年11月至2003年6月期间,招募了171例病例和410名年龄及性别匹配的对照。由于对石化产品影响的评估取决于准确的暴露估计,作者开发了一种使用地理信息系统工具的程序来确定受试者的暴露情况。由此得出的个体水平暴露估计值(暴露机会得分)是一种综合暴露指标,它考虑了受试者的流动性、在每个居住地的停留时间、与石化工厂的距离、月主导风向以及多个石化污染源。针对0至19岁和20至29岁的受试者分别拟合了不同的条件逻辑回归模型,以分别评估儿童期白血病与成年期白血病。在较年轻的年龄组中未观察到总体关联。然而,居住环境中接触石化产品是较年长年龄组患白血病的一个显著风险因素。对数转换后的暴露机会得分每增加一个单位,调整后的优势比为1.54(95%置信区间:1.14,2.09)。这项研究说明了地理信息系统工具在提供居住环境中接触石化污染的精确暴露估计方面的作用。