Gregorio David I, Ford Chandler, Samociuk Holly
Department of Community Medicine and Health Care, University of Connecticut School of Medicine, 263 Farmington Ave., Farmington, CT, 06030-6325 USA.
Department of Community Medicine and Health Care, University of Connecticut School of Medicine, 263 Farmington Ave., Farmington, CT, 06030-6325 USA.
Spat Spatiotemporal Epidemiol. 2017 Jun;21:47-55. doi: 10.1016/j.sste.2017.03.001. Epub 2017 Mar 23.
Geographic variation in breast cancer incidence across Connecticut was examined according to age and birth cohort -specific groups.
We assigned each of 60,937 incident breast cancer cases diagnosed in Connecticut, 1986-2009, to one of 828 census tracts around the state. Global and local spatial statistics estimated rate variation across the state according to age and birth cohorts.
We found the global distribution of incidence rates across places to be more heterogeneous for younger women and later birth cohorts. Concurrently, the spatial scan identified more locations with significantly high rates that pertained to larger proportions of at-risk women within these groups. Geographic variation by age groups was more pronounced than by birth cohorts.
Geographic patterns of cancer incidence exhibit differences within and across age and birth cohorts. With the continued insights from descriptive epidemiology, our capacity to effectively limit spatial disparities in cancer will improve.
根据年龄和特定出生队列组,研究康涅狄格州乳腺癌发病率的地理差异。
我们将1986 - 2009年在康涅狄格州诊断出的60937例乳腺癌病例中的每一例,分配到该州周围828个普查区中的一个。全球和局部空间统计估计了全州范围内根据年龄和出生队列的发病率变化。
我们发现,年轻女性和较晚出生队列的发病率在各地的全球分布更加不均一。同时,空间扫描识别出更多发病率显著较高的地区,这些地区在这些组中涉及更大比例的高危女性。年龄组之间的地理差异比出生队列之间更明显。
癌症发病率的地理模式在年龄组内和年龄组间以及出生队列间都存在差异。随着描述性流行病学不断提供深入见解,我们有效限制癌症空间差异的能力将会提高。