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Analysis of prostate cancer incidence using geographic information system and multilevel modeling.

机译:使用地理信息系统和多层建模分析前列腺癌的发病率。

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摘要

This study investigated racial differences in prostate cancer incidence, stage and grade in Florida using individual, community and environmental data from three data sets. Prostate cancer data were obtained from the Florida Department of Health. Census-tract-level characteristics were extracted from census data. County-level environmental data were obtained from the Department of Environmental Protection. Geographic Information Systems (GIS) was used to show racial and geographic disparities. Multilevel modeling was applied to examine the relationship of prostate cancer stage and grade to factors at the aforementioned levels. The results indicated that at the individual patient level, advanced/late cancer stage was significantly associated with older age, being black, being unmarried, tobacco use and being diagnosed in early years. At the census-tract level, late cancer stage was related to low median income and low percentage of people with some college education. No significant association was found for environmental factors. Similar results were found for tumor grade. These findings are consistent with national data demonstrating striking racial/ethnic disparities, improved stage and grade over time, and the importance of socioeconomic status. The GIS results also add local community perspectives important for planning community education and outreach to reduce racial disparities in low-income neighborhoods and low-literacy populations.
机译:这项研究使用来自三个数据集的个人,社区和环境数据,调查了佛罗里达州前列腺癌发病率,阶段和等级的种族差异。前列腺癌数据来自佛罗里达卫生部。从人口普查数据中提取人口普查区级特征。县级环境数据是从环境保护部获得的。地理信息系统(GIS)用于显示种族和地理差异。应用多级建模来检查前列腺癌分期和等级与上述水平因素之间的关系。结果表明,在个体患者水平上,晚期癌症与晚期,黑色,未婚,吸烟和早期诊断显着相关。在人口普查领域,癌症晚期与低中位数收入和受过大学教育的人比例低有关。没有发现与环境因素有显着关联。对于肿瘤等级也发现了相似的结果。这些发现与国家数据相符,该数据表明种族/族裔差异显着,阶段和等级随着时间的推移而改善,以及社会经济地位的重要性。 GIS的结果还增加了当地社区的观点,对于规划社区教育和外展活动以减少低收入社区和低文化程度人群的种族差异非常重要。

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