DECODING STROKE DISPARITIES: ZIP CODES, COLOR CODES, AND EPIGENETIC CODES.

Bruce Ovbiagele
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Abstract

Despite decreases in overall stroke incidence and mortality in the United States, racial and ethnic disparities continue unabated. Of note, the long-standing disproportionate burden of stroke on African Americans compared to other racial and ethnic groups persists, and national projections indicate this toll will likely worsen over the next decade. Why have we not been able to bend the stroke disparities curve for African Americans? Well, this is mainly because traditional stroke risk factors, such as hypertension, diabetes, etc., account for just half of the Black vs. non-Hispanic White stroke disparity. As such, there is increasing interest in evaluating understudied factors like upstream social determinants of health, including geography, psychosocial stress, and environmental pollution; identifying potential mediators; and testing multilevel interventions to address them. This paper highlights emerging avenues that may help decode the excess stroke risk in African Americans, focusing on zip codes, color codes, and epigenetic codes.

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解码中风差异:邮政编码、颜色编码和表观遗传编码。
尽管美国中风的总体发病率和死亡率有所下降,但种族和民族间的差异依然有增无减。值得注意的是,与其他种族和族裔群体相比,非裔美国人的中风负担长期以来一直不成比例,而且全国性的预测表明,这种负担在未来十年可能会加重。为什么我们无法缩小非裔美国人的中风差异曲线?这主要是因为传统的中风风险因素,如高血压、糖尿病等,只占黑人与非西班牙裔白人中风差异的一半。因此,人们越来越关注评估未被充分研究的因素,如健康的上游社会决定因素,包括地理位置、社会心理压力和环境污染;确定潜在的中介因素;以及测试多层次干预措施以解决这些问题。本文重点介绍了可能有助于解读非裔美国人超常中风风险的新兴途径,重点关注邮政编码、肤色代码和表观遗传代码。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
57
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