Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Int J Environ Res Public Health. 2020 Dec 18;17(24):9498. doi: 10.3390/ijerph17249498.
This study investigated the geographic variation and the clustering of lung cancer incidence rates in Philadelphia and the surrounding areas using addresses at the time of diagnosis. Using 60,844 cases from Pennsylvania Cancer Registry, we calculated and mapped the age-adjusted incidence rates for five Pennsylvania (PA) counties near Philadelphia between 1998-2007 and 2008-2017. We identified ZIP codes with significantly higher incidence rates than the state rates and examined their demographic and exposure characteristics. Further, we tested for spatial autocorrelation and identified spatial clusters using Moran's I statistic. Our results showed that approximately one in four ZIP codes had an incidence rate that was significantly higher than the PA state rate in each period studied. Clusters of higher incidences were detected in the southeastern part of PA bordering New Jersey. These areas tended to be more populated, of lower socioeconomic status, and closer to manufacturing facilities and major highways. Possibly driven by the community and environmental factors, the observed differences in disease incidence suggest the importance of including residential location in risk assessment tools for lung cancer.
本研究使用诊断时的地址,调查了费城及周边地区肺癌发病率的地理变异和聚集情况。利用宾夕法尼亚癌症登记处的 60844 例病例,我们计算并绘制了 1998-2007 年和 2008-2017 年期间靠近费城的五个宾夕法尼亚州(PA)县的年龄调整发病率图。我们确定了 ZIP 码,其发病率明显高于州发病率,并检查了这些 ZIP 码的人口统计和暴露特征。此外,我们还测试了空间自相关,并使用 Moran's I 统计量识别了空间聚类。我们的结果表明,在每个研究期间,大约有四分之一的 ZIP 码的发病率明显高于宾夕法尼亚州的州发病率。在宾夕法尼亚州东南部与新泽西州接壤的地区检测到了更高发病率的聚类。这些地区人口密度较高,社会经济地位较低,靠近制造设施和主要高速公路。可能是受到社区和环境因素的驱动,观察到的疾病发病率差异表明在肺癌风险评估工具中纳入居住地点的重要性。