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

> **NIH NIH R00** · NORTHEASTERN UNIVERSITY · 2024 · $248,957

## Abstract

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

## Key facts

- **NIH application ID:** 11136629
- **Project number:** 4R00HD109373-03
- **Recipient organization:** NORTHEASTERN UNIVERSITY
- **Principal Investigator:** Brie M Reid
- **Activity code:** R00 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $248,957
- **Award type:** 4N
- **Project period:** 2022-09-01 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11136629

## Citation

> US National Institutes of Health, RePORTER application 11136629, Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure (4R00HD109373-03). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/11136629. Licensed CC0.

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