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解码中风差异:邮政编码、颜色代码和表观遗传代码。

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

机构信息

San Francisco, California.

出版信息

Trans Am Clin Climatol Assoc. 2024;134:214-227.

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.

摘要

尽管美国的总体中风发病率和死亡率有所下降,但种族和族裔差异仍在继续。值得注意的是,与其他种族和族裔群体相比,长期以来非洲裔美国人承受着不成比例的中风负担,国家预测显示,在未来十年中,这种负担可能会恶化。为什么我们还不能改变非洲裔美国人中风差异的状况呢?这主要是因为传统的中风危险因素,如高血压、糖尿病等,仅能解释一半的黑人和非西班牙裔白人中风差异。因此,人们越来越关注评估被忽视的因素,如健康的上游社会决定因素,包括地理、心理社会压力和环境污染;确定潜在的中介因素;并测试多层次的干预措施来解决这些问题。本文强调了可能有助于解码非裔美国人中风风险过高的新途径,重点是邮政编码、颜色代码和表观遗传密码。

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