Geographic Differences in Lung Cancer Incidence: A Study of a Major Metropolitan Area within Southeastern Pennsylvania
| Autor: | Anil Vachani, Trevor M. Penning, Thomas P. McKeon, Wei-Ting Hwang, Vicky Tam, Yaqian Zhu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Residential location
Lung Neoplasms Health Toxicology and Mutagenesis lcsh:Medicine 01 natural sciences Zip code spatial autocorrelation Article 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine hemic and lymphatic diseases medicine Cluster Analysis Humans 0101 mathematics Lung cancer Socioeconomic status Philadelphia New Jersey Incidence (epidemiology) lcsh:R Public Health Environmental and Occupational Health environmental risk factor medicine.disease Metropolitan area Cancer registry lung cancer Geography 030220 oncology & carcinogenesis Spatial clustering incidence Demography clustering |
| Zdroj: | International Journal of Environmental Research and Public Health Volume 17 Issue 24 International Journal of Environmental Research and Public Health, Vol 17, Iss 9498, p 9498 (2020) |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph17249498 |
| Popis: | 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&ndash 2007 and 2008&ndash 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&rsquo 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. |
| Databáze: | OpenAIRE |
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