Department of Mathematics and Statistics, University of West Florida, Pensacola, FL, 32514, USA.
Sacred Heart Health System, Pensacola, FL, USA.
J Gen Intern Med. 2019 Mar;34(3):412-419. doi: 10.1007/s11606-018-4824-9. Epub 2019 Jan 16.
Clusters of breast cancer with varied incidence or mortality are known to exist. No national scale of analysis of geographical variation in breast cancer incidence has been published before for the contiguous USA.
This was a spatial cluster analysis of incidence and mortality data on breast cancer in the contiguous USA at the county resolution. Data for the years 2000-2014 were downloaded and analyzed with the software SaTScan with the goal to identify significant spatial clusters of breast cancer. Regression analysis was used to then adjust breast cancer incidence and mortality for several key risk factors such as age, smoking, particulate matter air pollution, physical inactivity, urban living, education level, and race.
Spatial clusters of counties for higher than expected breast cancer incidence and also for breast cancer mortality were identified. All identified clusters have p < 0.05. The mortality clusters show the mean breast cancer rates inside the cluster, while the incidence clusters show the relative risk inside each cluster. This is the first study of the contiguous USA for breast cancer mortality and incidence together. The clustering for mortality is quite different from the clustering for incidence. Using the software JOINPOINT, it is shown that the annual US downward trend for breast cancer mortality slowed down in recent years.
There exist several significant clusters in the contiguous USA, both for breast cancer incidence and for breast cancer mortality. Some of the clusters persisted even after adjusting for several key risk factors. These geographic areas warrant further investigation to potentially identify additional local concerns or needs to further address female breast cancer in those specific sites.
已知存在发病率或死亡率不同的乳腺癌集群。以前从未对美国大陆的乳腺癌发病率的地理差异进行过全国范围内的分析。
这是对美国大陆县一级乳腺癌发病率和死亡率数据的空间聚类分析。下载了 2000 年至 2014 年的数据,并使用 SaTScan 软件进行了分析,目的是确定乳腺癌的显著空间聚类。然后,使用回归分析来调整乳腺癌发病率和死亡率的几个关键风险因素,如年龄、吸烟、颗粒物空气污染、缺乏身体活动、城市居住、教育水平和种族。
确定了乳腺癌发病率高于预期的县的空间聚类,也确定了乳腺癌死亡率的空间聚类。所有确定的聚类都有 p < 0.05。死亡率聚类显示了聚类内的平均乳腺癌率,而发病率聚类则显示了每个聚类内的相对风险。这是对美国大陆乳腺癌死亡率和发病率的首次联合研究。死亡率的聚类与发病率的聚类有很大的不同。使用 JOINPOINT 软件,表明近年来美国乳腺癌死亡率的年度下降趋势有所放缓。
在美国大陆存在几个显著的聚类,包括乳腺癌发病率和死亡率。一些聚类即使在调整了几个关键风险因素后仍然存在。这些地理区域需要进一步调查,以确定在这些特定地点是否存在其他需要关注的问题或需要进一步解决女性乳腺癌的问题。