Kheifets Leeka, Crespi Catherine M, Hooper Chris, Oksuzyan Sona, Cockburn Myles, Ly Thomas, Mezei Gabor
Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, USA.
Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, California, USA.
J Expo Sci Environ Epidemiol. 2015 Jan;25(1):45-52. doi: 10.1038/jes.2013.48. Epub 2013 Sep 18.
We conducted a large epidemiologic case-control study in California to examine the association between childhood cancer risk and distance from the home address at birth to the nearest high-voltage overhead transmission line as a replication of the study of Draper et al. in the United Kingdom. We present a detailed description of the study design, methods of case ascertainment, control selection, exposure assessment and data analysis plan. A total of 5788 childhood leukemia cases and 3308 childhood central nervous system cancer cases (included for comparison) and matched controls were available for analysis. Birth and diagnosis addresses of cases and birth addresses of controls were geocoded. Distance from the home to nearby overhead transmission lines was ascertained on the basis of the electric power companies' geographic information system (GIS) databases, additional Google Earth aerial evaluation and site visits to selected residences. We evaluated distances to power lines up to 2000 m and included consideration of lower voltages (60-69 kV). Distance measures based on GIS and Google Earth evaluation showed close agreement (Pearson correlation >0.99). Our three-tiered approach to exposure assessment allowed us to achieve high specificity, which is crucial for studies of rare diseases with low exposure prevalence.
我们在加利福尼亚州开展了一项大型流行病学病例对照研究,以检验儿童癌症风险与出生时家庭住址到最近的高压架空输电线路的距离之间的关联,作为对英国Draper等人研究的重复。我们详细描述了研究设计、病例确定方法、对照选择、暴露评估和数据分析计划。共有5788例儿童白血病病例和3308例儿童中枢神经系统癌症病例(纳入作比较)以及匹配的对照可用于分析。病例的出生和诊断地址以及对照的出生地址均进行了地理编码。根据电力公司的地理信息系统(GIS)数据库、额外的谷歌地球航拍评估以及对选定住所的实地考察,确定了住所到附近架空输电线路的距离。我们评估了到2000米以内输电线路的距离,并考虑了较低电压(60 - 69千伏)。基于GIS和谷歌地球评估的距离测量结果显示出高度一致性(皮尔逊相关性>0.99)。我们的三层暴露评估方法使我们能够实现高特异性,这对于低暴露患病率的罕见病研究至关重要。