Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, UNC-CH, Chapel Hill, North Carolina.
Lineberger Comprehensive Cancer Center (LCCC), UNC-CH, Chapel Hill, North Carolina.
Cancer Epidemiol Biomarkers Prev. 2024 Jun 3;33(6):838-845. doi: 10.1158/1055-9965.EPI-24-0030.
The American Indian (AI) population in North Carolina has limited access to the Indian Health Service. Consequently, cancer burden and disparities may differ from national estimates. We describe the AI cancer population and examine AI-White disparities in cancer incidence and mortality.
We identified cancer cases diagnosed among adult AI and White populations between 2014 and 2018 from the North Carolina Central Cancer Registry. We estimated incidence and mortality rate ratios (IRR and MRR) by race. In addition, between the AI and White populations, we estimated the ratio of relative frequency differences [RRF, with 95% confidence limits (CL)] of clinical and sociodemographic characteristics. Finally, we evaluated the geographic distribution of incident diagnoses among AI populations.
Our analytic sample included 2,161 AI and 204,613 White individuals with cancer. Compared with the White population, the AI population was more likely to live in rural areas (48% vs. 25%; RRF, 1.89; 95% CL, 1.81-1.97) and to have Medicaid (18% vs. 7%; RRF, 2.49; 95% CL, 2.27-2.71). Among the AI population, the highest age-standardized incidence rates were female breast, followed by prostate and lung and bronchus. Liver cancer incidence was significantly higher among the AI population than White population (IRR, 1.27; 95% CL, 1.01-1.59). AI patients had higher mortality rates for prostate (MRR, 1.72; CL, 1.09-2.70), stomach (MRR, 1.82; 95% CL, 1.15-2.86), and liver (MRR, 1.70; 95% CL, 1.25-2.33) cancers compared with White patients.
To reduce prostate, stomach, and liver cancer disparities among AI populations in North Carolina, multi-modal interventions targeting risk factors and increasing screening and treatment are needed.
This study identifies cancer disparities that can inform targeted interventions to improve outcomes among AI populations in North Carolina.
北卡罗来纳州的美洲原住民(AI)人群获得美国印第安人卫生服务的机会有限。因此,癌症负担和差异可能与全国估计值不同。我们描述了 AI 癌症人群,并检查了 AI 与白人在癌症发病率和死亡率方面的差异。
我们从北卡罗来纳州中央癌症登记处确定了 2014 年至 2018 年间诊断出的成年 AI 和白人癌症病例。我们按种族估计了发病率和死亡率比(IRR 和 MRR)。此外,在 AI 和白人人群中,我们估计了临床和社会人口统计学特征的相对频数差异比[RRF,具有 95%置信区间(CL)]。最后,我们评估了 AI 人群中发病的地理分布。
我们的分析样本包括 2161 名 AI 和 204613 名患有癌症的白人。与白人人口相比,AI 人群更有可能居住在农村地区(48%对 25%;RRF,1.89;95%CL,1.81-1.97)和拥有医疗补助(18%对 7%;RRF,2.49;95%CL,2.27-2.71)。在 AI 人群中,发病率标准化最高的是女性乳腺癌,其次是前列腺癌和肺癌。肝癌的发病率在 AI 人群中明显高于白人人群(IRR,1.27;95%CL,1.01-1.59)。与白人患者相比,AI 患者的前列腺癌(MRR,1.72;CL,1.09-2.70)、胃癌(MRR,1.82;95%CL,1.15-2.86)和肝癌(MRR,1.70;95%CL,1.25-2.33)死亡率更高。
为了减少北卡罗来纳州 AI 人群中前列腺癌、胃癌和肝癌的差异,需要针对风险因素采取多模式干预措施,并增加筛查和治疗。
这项研究确定了癌症差异,可以为北卡罗来纳州 AI 人群的有针对性干预措施提供信息,以改善他们的结果。