Despite significant research, the reasons for racial health disparities among adverse birth outcomes (ABO) remain largely unknown. The bulk of research into racial health disparities among ABO in the United States has concentrated on the risk of race and ethnic groups relative to the specific sub-population of non-Hispanic white women and their children. The objective of this study was to estimate the racial and ethnic risks among a set of neonatal and maternal health disparities while minimizing bias attributable to how the baseline risk was established. All birth records were obtained from the United States Natality database for the years 2014 to 2017. A Bayesian modeling approach was used to estimate the risk disparity for disorders by race. The estimation of the race-specific risks used a sum-to-zero constraint for the race regression coefficients. Estimating racial health disparities relative to the overall population rate yielded novel results and identified perinatal health disparities for all the race groups studied. Unbiased risk estimates for racial disparities among ABO are now available for stimulating and initiating more complex causal modeling that can lead to understanding how racial health disparities for ABO are mediated and how they can be prevented.

中文翻译：

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估计不利出生结果之间的种族健康差异，因为它与人口比率的偏差

尽管进行了大量研究，但不良出生结果 (ABO) 之间种族健康差异的原因在很大程度上仍然未知。美国 ABO 种族健康差异的大部分研究集中在种族和族裔群体相对于非西班牙裔白人妇女及其子女的特定亚群的风险上。本研究的目的是估计一组新生儿和孕产妇健康差异中的种族和民族风险，同时最大限度地减少因基线风险如何确定而产生的偏差。所有出生记录均来自美国出生数据库 2014 年至 2017 年。贝叶斯建模方法用于估计不同种族疾病的风险差异。种族特定风险的估计对种族回归系数使用总和为零的约束。估计种族健康差异相对于总体人口率产生了新的结果，并确定了所有研究种族群体的围产期健康差异。ABO 之间种族差异的无偏风险估计现在可用于刺激和启动更复杂的因果模型，从而了解 ABO 的种族健康差异是如何调节的以及如何预防。