New Publication: Profiles of Stressful Life Experiences in Pregnancy

Dr. Gia Elise Barboza-Salerno, Taylor Harrington
2026-09-02

We are excited to announce a new publication from the ISSUES Lab!

Profiles of stressful life experiences in pregnancy: a latent class approach linking early childhood adversity, intimate partner coercive control, and material hardship to adverse birth outcomes

Gia Elise Barboza-Salerno & Taylor Harrington

Published August 31, 2026 in BMC Pregnancy and Childbirth (Open Access)

Abstract

Acute antenatal stressful life events (SLEs) during pregnancy are well-established risk factors for adverse birth outcomes. However, little is known about how distinct constellations of antenatal SLEs, shaped by early adversity, material hardship, and intimate partner coercive control, combine to influence perinatal health.

Data were drawn from 5,280 participants in the Kansas Pregnancy Risk Assessment Monitoring System. Using latent class analysis, five distinct stress profiles were identified:

  1. Family Member Illness and Death (16.3%)
  2. Multiple Overlapping Stressors (5.2%)
  3. Financial Insecurity (11.2%)
  4. Residential Instability and Family Conflict (8.7%)
  5. Low Stress (58.6%)

Compared with the Low Stress class, individuals in all high-risk classes had significantly higher odds of reporting ACEs, IPV, material hardship, and cigarette use before pregnancy. The Multiple Overlapping Stressors class showed the greatest risk of low birth weight, small for gestational age, and preterm birth.

Key Takeaway

Tailoring perinatal interventions to specific SLE profiles, particularly for individuals with histories of ACEs and IPV, may reduce poor birth outcomes.

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New Publication Maternal Health Latent Class Analysis Adverse Childhood Experiences Intimate Partner Violence BMC
Dr. Gia Elise Barboza-Salerno
Dr. Gia Elise Barboza-Salerno
Director

I am an interdisciplinary scholar whose research integrates law, public health, social work, and advanced statistics to study childhood adversity, violence-related harm, and neighborhood-level inequities. I lead the ISSUES Lab at Ohio State, translating spatial and legal analysis into policy and practice.

Taylor Harrington
Taylor Harrington
PhD Candidate, Methodologist

Taylor Harrington, MS, is a PhD candidate in Public Health at The Ohio State University. To investigate how multi-level factors shape health behaviors and outcomes, she integrates advanced computational and geospatial methods, including machine learning (e.g., computer vision, random forests, structured topic modeling, text mining) and geospatial modeling (e.g., Bayesian spatial modeling, remote sensing). Through this work, she aims to generate actionable evidence to inform equitable health policy and community-level interventions.