Related Experiment Video
Updated: Sep 18, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Exploring multilevel determinants of stillbirth: a comprehensive analysis across sub-Saharan African countries
Khadijat Adeleye1, Oluwabunmi Ogungbe2,3, Yvette Yeboah-Kordieh4
1Elaine Marieb College of Nursing, University of Massachusetts Amherst, Amherst, Massachusetts, USA kadeleye@umass.edu.
Stillbirths are a major concern in sub-Saharan Africa. Maternal education and marital status reduce risk, while employment and rural living increase stillbirth risk in SSA.
Area of Science:
- Reproductive Health
- Maternal and Child Health
- Global Health
Background:
- Stillbirths represent a significant public health concern in sub-Saharan Africa (SSA), accounting for a substantial portion of global stillbirths.
- The region faces a high burden of stillbirths, necessitating research into contributing factors.
Purpose of the Study:
- To investigate the individual-level and contextual determinants of stillbirth among women in 29 sub-Saharan African countries.
- To identify key risk and protective factors associated with stillbirth in the SSA region.
Main Methods:
- Cross-sectional analysis of a weighted sample of women aged 15-49 years in 29 SSA countries.
- Inclusion criteria: women who had given birth or experienced a stillbirth.
Main Results:
- Stillbirth prevalence was 8.4 per 1000 live births.
- Increased risk associated with advanced maternal age, employment, and rural residence.
- Decreased risk observed with higher maternal education and being single compared to separated/partnered women.
Conclusions:
- Stillbirth outcomes in SSA are influenced by a complex interaction of individual and contextual factors.
- Integrated, cross-sectoral care approaches are crucial for addressing the multifaceted determinants of stillbirths and improving maternal and neonatal health outcomes.
Related Concept Videos
Teratogenicity
Regression Toward the Mean
Confounding in Epidemiological Studies
Bias in Epidemiological Studies
Assumptions of Survival Analysis
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...

