Crabbe J Christopher F, Gregorio David I, Samociuk Holly, Swede Helen
At the time of the study, J. Christopher F. Crabbe, David I. Gregorio, Holly Samociuk, and Helen Swede were with the Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington.
Am J Public Health. 2015 Jul;105 Suppl 3(Suppl 3):e64-70. doi: 10.2105/AJPH.2015.302640. Epub 2015 Apr 23.
We considered changes in the geographic distribution of early stage breast cancer among White and non-White women while secular trends in lifestyle and health care were under way.
We aggregated tumor registry and census data by age, race, place of residence, and year of diagnosis to evaluate rate variation across Connecticut census tracts between 1985 and 2009. Global and local cluster detection tests were completed.
Age-adjusted incidence rates increased by 2.71% and 0.44% per year for White and non-White women, respectively. Significant global clustering was identified during surveillance of these populations, but the elements of clustering differed between groups. Among White women, fewer local clusters were detected after 1985 to 1989, whereas clustering increased over time among non-White women.
Small-area variation of breast cancer incidence rates across time periods proved to be dynamic and race-specific. Incidence rates might have been affected by secular trends in lifestyle or health care. Single cross-sectional analyses might have confused our understanding of disease occurrence by not accounting for the social context in which patient preferences or provider capacity influence the numbers and locations of diagnosed cases. Serial analyses are recommended to identify "hot spots" where persistent geographic disparities in incidence occur.
我们研究了在生活方式和医疗保健的长期趋势发展过程中,白人女性和非白人女性早期乳腺癌地理分布的变化情况。
我们按年龄、种族、居住地点和诊断年份汇总肿瘤登记和人口普查数据,以评估1985年至2009年康涅狄格州人口普查区之间的发病率差异。完成了全局和局部聚类检测测试。
白人女性和非白人女性的年龄调整发病率分别以每年2.71%和0.44%的速度上升。在对这些人群的监测过程中发现了显著的全局聚类,但不同群体之间的聚类因素有所不同。在白人女性中,1985年至1989年后检测到的局部聚类较少,而非白人女性中的聚类随时间增加。
不同时间段乳腺癌发病率的小区域差异被证明是动态的且具有种族特异性。发病率可能受到生活方式或医疗保健长期趋势的影响。单一横断面分析可能因未考虑患者偏好或医疗服务能力影响诊断病例数量和位置的社会背景,而混淆我们对疾病发生情况的理解。建议进行系列分析以确定发病率存在持续地理差异的“热点”地区。