Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure

项目总结 K99应用程序旨在确定母亲心理社会的生物学和行为途径 孕期压力会影响母婴缺铁性贫血(IDA)的风险。艾达是世界上 全球范围内贫血的常见原因，美国约20%的女性经历过压力较大的生活事件 在她们怀孕期间。由于怀孕对铁的需求增加，怀孕本身就会造成 IDA的重大风险，特别是对低收入和少数族裔妇女而言。国际开发协会增加 不良妊娠结局的风险，并可能对新生儿的铁状况产生负面影响，可能 对神经发育造成不可逆转的伤害。人们越来越担心口服维生素补充剂 可能不足以在全身炎症的背景下抵消IDA的风险，包括 由慢性心理应激和随后的神经内分泌失调引起的炎症。 以前，母亲的心理社会压力与婴儿的铁状况有关，但潜在的生物学意义 机制还没有表征，尽管

PROJECT SUMMARY This K99 application aims to determine biological and behavioral pathways by which maternal psychosocial stress in pregnancy impacts risk for maternal and infant iron deficiency anemia (IDA). IDA is one of the most common causes of anemia worldwide, and around 20% of women in the US experience a stressful life event throughout their pregnancy. Due to the increased iron demands of pregnancy, pregnancy itself poses a significant risk of IDA, especially for low-income and racially- and ethnically-minoritized women. IDA increases the risk of adverse pregnancy outcomes and can negatively impact the iron status of the neonate that may cause irreversible harm to neurodevelopment. There is growing concern that oral vitamin supplementation might not be enough to counteract the risks of IDA in the context of systemic inflammation, including inflammation produced by chronic psychosocial stress and subsequent neuroendocrine dysregulation. Maternal psychosocial stress has been associated with infant iron status previously, but the potential biological mechanisms are not yet characterized despite the