Multilevel factors influencing preterm birth in an urban setting

Abstract

Racial disparity in preterm is a major problem in the US. Although significant strides have been made in identifying some of the risk factors, the complexities between community and individual factors are not understood. This study examines the influence of individual and community level factors affecting preterm birth among Black and White women in an urban setting. A 10-year live birth registry dataset from a mid-sized, racially diverse city was analyzed (N = 30,591). Data were geocoded and merged with block group level Census data. Five hierarchical models were examined using PROC GLIMMIX. Education, illicit drug use, pregnancy complications, previous preterm birth, paternal presence, inadequate and adequate plus prenatal care, and poverty were associated with preterm births in both Blacks and Whites. In Black women, increasing maternal age, maternal smoking, and a previous infant death were significant predictors of preterm births, which was not the case for White women. Residing in medium or high poverty neighborhoods resulted in 19% and 28% higher odds, respectively, of preterm birth for Black women. In addition to individual level factors, neighborhood poverty is an important risk factor influencing preterm birth. It is essential to engage multisectoral agencies in addressing factors influencing preterm birth.

Keywords

• premature birth
• health status disparities
• multilevel analysis