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Mortality disparities: A comparison with the Haudenosaunee in New York State. 死亡率差异:与纽约州Haudenosaunee的比较。
Pub Date : 2018-01-01 Epub Date: 2018-06-29 DOI: 10.9777/chd.2018.10009
Rodney C Haring, Melissa A Jim, Deborah Erwin, Judith Kaur, Whitney Ann E Henry, Marissa L Haring, Dean S Seneca

Identifying health status and disparities for Indigenous populations is the first logical step toward better health. We compare the mortality profile of the American Indian and Alaska Native (AI/AN) population with that of non-Hispanic whites in the Haudenosaunee Nations in New York State, the Indian Health Service (IHS) East region (Nashville Area) and the United States. Data from the linkage of IHS registration records with decedents from the National Death Index (1990-2009) were used to identify AI/AN deaths misclassified as non-AI/AN. Analyses were limited to persons of non-Hispanic origin. We analyzed trends for 1990-2009 and compared AI/AN and white persons in the Haudenosaunee Nations in New York State, IHS East region and the United States. All-cause death rates over the past two decades for Haudenosaunee men declined at a greater percentage per year than for AI/AN men in the East region and United States. This decrease was not observed for Haudenosaunee women with all-cause death rates appearing to be stable over the past two decades. Haudenosaunee all-cause death rates were 16% greater than that for whites in the Haudenosaunee Nations. The most prominent disparities between Haudenosaunee and whites are concentrated in the 25-44 year age group (Risk Ratio=1.85). Chronic liver disease, diabetes, unintentional injury, and kidney disease death rates were higher in Haudenosaunee than in whites in the Haudenosaunee Nations. The Haudenosaunee cancer death rate (180.8 per 100,000) was higher than that reported for AI/AN in the East (161.5 per 100,000).Haudenosaunee experienced higher rates for the majority of the leading causes of death than East AI/AN. These results highlight the importance of Haudenosaunee-specific data to target prevention efforts to address health disparities and inequalities in health.

确定土著人口的健康状况和差异是改善健康的第一步。我们比较了纽约州Haudenosaunee民族、印度卫生服务(IHS)东部地区(纳什维尔地区)和美国的美国印第安人和阿拉斯加原住民(AI/AN)与非西班牙裔白人的死亡率。IHS登记记录与国家死亡指数(1990-2009)中死者的联系数据用于识别被错误归类为非AI/AN的AI/AN死亡。分析仅限于非西班牙裔。我们分析了1990-2009年的趋势,并比较了纽约州、IHS东部地区和美国Haudenosaunee民族的AI/AN和白人。在过去二十年中,Haudenosaunee男性的全因死亡率每年下降的比例高于东部地区和美国的AI/AN男性。Haudenosaunee妇女的全因死亡率在过去二十年中似乎稳定,但没有观察到这种下降。Haudenosaunee民族的全因死亡率比白人高16%。Haudenosaunee人和白人之间最显著的差异集中在25-44岁年龄组(风险比=1.85)。Haudenosounee人的慢性肝病、糖尿病、意外伤害和肾病死亡率高于Haudensaunee民族的白人。Haudenosaunee癌症死亡率(180.8/10万)高于东部AI/AN报告的死亡率(161.5/10万)。Haudensaunee在大多数主要死因中的死亡率高于东部AI/AN。这些结果突出了Haudenosaunee特定数据对解决健康差距和健康不平等的预防工作的重要性。
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引用次数: 0
Androgen metabolism genes in prostate cancer health disparities. 前列腺癌中雄激素代谢基因的健康差异。
Pub Date : 2017-01-01 Epub Date: 2017-11-18 DOI: 10.9777/rr.2017.10003
Wei Liu, Runhua Liu, Lizhong Wang

For men in the United States, prostate cancer is common, and newly diagnosed cases of prostate cancer outnumber those of all other cancer types. For prostate cancer, there are racial disparities between Caucasian Americans and African Americans. Androgens and androgen metabolism may be involved in these disparities as well as in the initiation and progression of prostate cancer. Here, we analyzed, in the Cancer Genome Atlas (TCGA) database, the mRNA expression of genes involved in androgen metabolism in prostate cancer based on the patient's race. The results revealed that expressions of UGT2B15 and CYP3A5 are higher but that SRD5A2, CYP17A1, HSD3B2, and AKR1C3 are lower in African American prostate cancers than in those of Caucasian Americans. These genes may relate to the racial disparities associated with prostate cancer. However, the evidence require validation and functional analysis.

对于美国男性来说,前列腺癌很常见,新诊断的前列腺癌病例超过了所有其他类型的癌症。对于前列腺癌,美国白人和非洲裔美国人之间存在种族差异。雄激素和雄激素代谢可能参与这些差异以及前列腺癌的发生和发展。在此,我们分析了癌症基因组图谱(TCGA)数据库中,基于患者种族的前列腺癌中雄激素代谢相关基因的mRNA表达。结果显示,UGT2B15和CYP3A5在非裔美国人前列腺癌中的表达高于白人美国人,而SRD5A2、CYP17A1、HSD3B2和AKR1C3的表达低于白人美国人。这些基因可能与与前列腺癌相关的种族差异有关。然而,证据需要验证和功能分析。
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引用次数: 3
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Cancer health disparities
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