Related Experiment Video
Updated: Aug 15, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Association between census-tract Social Vulnerability Index and preterm birth rates
Jocelyn V Burridge1, Rebecca J Baer1, Christina D Chambers1
1Department of Pediatrics, San Diego School of Medicine University of California La Jolla California USA.
Insights
Higher Social Vulnerability Index (SVI) scores are linked to increased preterm birth (PTB) risk. This highlights SVI
Area of Science:
- Public Health
- Epidemiology
- Sociomedical Sciences
Background:
- Preterm birth (PTB) is a major cause of infant mortality and morbidity.
- Sociodemographic factors significantly influence PTB risk, particularly in marginalized populations.
- The Social Vulnerability Index (SVI) quantifies these factors, offering a tool for targeted interventions.
Purpose of the Study:
- To investigate the association between census-tract level SVI and PTB risk.
- To examine the relationship between individual SVI themes and PTB and very PTB.
- To inform the development of interventions for high-risk populations.
Main Methods:
- Retrospective cohort study using California birth data (2018-2021).
- Linked hospital and birth certificate records with 2020 census tract data and CDC SVI.
- Used mixed-effect logistic regression, adjusting for confounders and spatial dependencies.
Main Results:
- A significant association was found between higher SVI quintiles and increased PTB risk.
- The highest PTB risk was observed in the Very High SVI quintile (aOR 1.34).
- Increased risks for very PTB and individual SVI themes were also identified.
Conclusions:
- Higher SVI at the census-tract level is significantly associated with increased PTB.
- SVI and its themes can serve as valuable tools for PTB risk assessment.
- Findings support targeted interventions in high-SVI areas to reduce PTB disparities.
Importance:
Preterm birth (PTB) is a leading cause of neonatal morbidity and mortality. Understanding how sociodemographic factors alter the risk of PTB, as quantified by the Social Vulnerability Index (SVI), can guide the development of targeted interventions aimed at reducing PTB rates in economically/socially marginalized groups with increased risk.
Objectives:
This study investigated the association between overall SVI and individual SVI themes on PTB (<37 weeks) and very PTB risk (<32 weeks).
Design:
This was a retrospective study using data from the Study of Outcomes in Mothers and Infants (SOMI) cohort, including California births from 2018 to 2021. Hospital records from the Department of Healthcare Access and Information were linked to birth certificate records. Individual-level data were merged with the 2020 census-tract grid and the Centers for Disease Control and Prevention SVI shapefile. SVI and individual SVI themes (socioeconomic status, household characteristics, racial and ethnic minority status, housing type, and transportation) were categorized into quintiles. Statistical analysis was performed between July 1, 2023 and July 15, 2024.
Setting:
Statewide analysis of PTB by census tract in California.
Participants:
Study cohort consisted of singleton births with no major malformations across 9129 census tracts.
Exposures:
The primary exposure was census-tract SVI.
Main Outcomes And Measures:
Study outcomes were PTB (<37 weeks' gestation) and very PTB (<32 weeks). Mixed-effect logistic regression models adjusted for spatial dependencies and relevant confounders.
Results:
This cross-sectional study included 1,029,639 singleton births (PTB: 71,591[7.0%]) in California from January 1, 2018 to December 31, 2021. Significant associations were found between PTB and successively higher SVI quintiles compared to Very Low SVI quintile, adjusting for confounders. The highest risk was in the Very High SVI quintile (adjusted odds ratio [aOR], 1.34; 95% confidence interval [CI], [1.30, 1.38]). Increased risks were also seen for very PTB and each SVI theme.
Conclusion And Relevance:
In this cross-sectional study of singleton births in California, there was a significant association between higher SVI and PTB at the census-tract level. This finding highlighted the potential for SVI and SVI themes to be used as a tool to assess the risk of PTB and guide intervention design in high-SVI areas.
Related Concept Videos
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Bias in Epidemiological Studies
Regression Toward the Mean
Development of the Oral Microbiota
Relative Risk
z Scores and Area Under the Curve
