Ontology highlight
ABSTRACT: Objective
To examine the association between state safety-net policy robustness and rates of low birthweight and preterm births (2007-2018).Methods
We created a state safety-net policy robustness index incorporating policies related to administrative burden, benefits, and eligibility for seven programs that provide health insurance, food, shelter, and cash assistance. Using quasi-Poisson regression models (state and year fixed effects, time-varying confounders), we assessed the association between policy robustness and low birthweight and preterm birth rates and examined differential associations by race/ethnicity via stratified models.Results
Our sample consisted of 2922 state-year-race observations for preterm births and 2017 observations for low birthweight birth
SUBMITTER: Eastus A
PROVIDER: S-EPMC12718674 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature