Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA.
Int J Environ Res Public Health. 2021 Nov 11;18(22):11824. doi: 10.3390/ijerph182211824.
The purpose of this study was to examine the association between neighborhood social deprivation and individual-level characteristics on breast cancer staging in African American and white breast cancer patients. We established a retrospective cohort of patients with breast cancer diagnosed from 1996 to 2015 using the South Carolina Central Cancer Registry. We abstracted sociodemographic and clinical variables from the registry and linked these data to a county-level composite that captured neighborhood social conditions-the social deprivation index (SDI). Data were analyzed using chi-square tests, Student's -test, and multivariable ordinal regression analysis to evaluate associations. The study sample included 52,803 female patients with breast cancer. Results from the multivariable ordinal regression model demonstrate that higher SDI (OR = 1.06, 95% CI: 1.02-1.10), African American race (OR = 1.35, 95% CI: 1.29-1.41), and being unmarried (OR = 1.17, 95% CI: 1.13-1.22) were associated with a distant stage at diagnosis. Higher tumor grade, younger age, and more recent year of diagnosis were also associated with distant-stage diagnosis. As a proxy for neighborhood context, the SDI can be used by cancer registries and related population-based studies to identify geographic areas that could be prioritized for cancer prevention and control efforts.
本研究旨在探讨社区社会剥夺程度与非裔美国人和白人乳腺癌患者个体特征之间的关联,及其对乳腺癌分期的影响。我们利用南卡罗来纳州中部癌症登记处,建立了一个回顾性队列,纳入了 1996 年至 2015 年间诊断为乳腺癌的患者。我们从登记处提取了社会人口统计学和临床变量,并将这些数据与一个县级综合指数(社会剥夺指数,SDI)相链接,该指数反映了社区社会状况。采用卡方检验、学生 t 检验和多变量有序回归分析来评估相关性。研究样本包括 52803 名女性乳腺癌患者。多变量有序回归模型的结果表明,SDI 较高(OR=1.06,95%CI:1.02-1.10)、非裔美国人种族(OR=1.35,95%CI:1.29-1.41)和未婚(OR=1.17,95%CI:1.13-1.22)与诊断时的远处转移阶段有关。肿瘤分级较高、年龄较小和较近年诊断也与远处转移诊断相关。作为社区环境的代表,SDI 可被癌症登记处和相关基于人群的研究用于识别需要优先开展癌症预防和控制工作的地理区域。