Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Resource and Rural Economics Division, Economic Research Service, US Department of Agriculture, Washington, DC, USA.
J Natl Cancer Inst Monogr. 2024 Aug 1;2024(65):152-161. doi: 10.1093/jncimonographs/lgae027.
Disparities in cancer incidence, stage at diagnosis, and mortality persist by race, ethnicity, and many other social determinants, such as census-tract-level socioeconomic status (SES), poverty, and rurality. Census-tract-level measures of these determinants are useful for analyzing trends in cancer disparities.
The purpose of this paper was to demonstrate the availability of the Surveillance, Epidemiology, and End Results Program's specialized census-tract-level dataset and provide basic descriptive cancer incidence, stage at diagnosis, and survival for 8 cancer sites, which can be screened regularly or associated with infectious agents. We present these analyses according to several census-tract-level measures, including the newly available persistent poverty as well as SES quintile, rurality, and race and ethnicity.
Census tracts with persistent poverty and low SES had higher cancer incidence rates (except for breast and prostate cancer), higher percentages of cases diagnosed with regional or distant-stage disease, and lower survival than non-persistent-poverty and higher-SES tracts. Outcomes varied by cancer site when analyzing based on rurality as well as race and ethnicity. Analyses stratified by multiple determinants showed unique patterns of outcomes, which bear further investigation.
This article introduces the Surveillance, Epidemiology, and End Results specialized dataset, which contains census-tract-level social determinants measures, including persistent poverty, rurality, SES quintile, and race and ethnicity. We demonstrate the capacity of these variables for use in producing trends and analyses focusing on cancer health disparities. Analyses may inform interventions and policy changes that improve cancer outcomes among populations living in disadvantaged areas, such as persistent-poverty tracts.
癌症发病率、诊断时的分期和死亡率存在种族、民族和许多其他社会决定因素的差异,例如普查区社会经济地位(SES)、贫困和农村程度等。普查区层面的这些决定因素的衡量标准对于分析癌症差异趋势很有用。
本文旨在展示监测、流行病学和结果计划的专门普查区层面数据集的可用性,并提供 8 个癌症部位的基本描述性癌症发病率、诊断时的分期和生存情况,这些部位可以定期筛查或与感染因子相关。我们根据几种普查区层面的衡量标准来呈现这些分析,包括新的持久贫困以及 SES 五分位数、农村程度以及种族和民族。
持久贫困和低 SES 的普查区癌症发病率较高(乳腺癌和前列腺癌除外)、区域或远处分期疾病的病例比例较高、生存情况较差,而非持久贫困和高 SES 的普查区。根据农村程度以及种族和民族进行分析时,癌症部位的结果存在差异。对多个决定因素进行分层分析显示出独特的结果模式,值得进一步研究。
本文介绍了监测、流行病学和结果计划的专门数据集,其中包含普查区层面的社会决定因素衡量标准,包括持久贫困、农村程度、SES 五分位数以及种族和民族。我们展示了这些变量在产生关注癌症健康差异的趋势和分析方面的能力。分析结果可以为改善处于不利地区(如持久贫困地区)的人群的癌症结果的干预措施和政策变化提供信息。