Work

Predictors of preterm births in North Dakota: a retrospective study of the North Dakota Pregnancy Risk Assessment Monitoring System (PRAMS)

Year: 2025

Type: article

Abstract: Background: Preterm births represent approximately 10% of all births in the United States (US) annually. Although North Dakota (ND) has large rural and American Indian populations that experience disparities in health outcomes relative to the general population, few studies have investigated risk factors of preterm births in this state. Therefore, the objective of this study was to investigate predictors of preterm births in ND among women who had a live singleton birth and no prior history of preterm births. Methods: Data on live births from 2017 to 2021 were obtained from the ND Pregnancy Risk Assessment Monitoring System. Potential predictors of preterm birth were identified using a conceptual model. Multivariable logistic regression was then used to investigate and identify significant predictors of preterm births. Results: history of preterm birth, the preterm birth rate was 6.4%. Race, age, pregestational diabetes, and gestational hypertension were significantly associated with preterm birth in the final multivariable logistic model. The odds of preterm birth were higher among women who were American Indian (adjusted odds ratio (AOR) = 1.7, 95% confidence interval (CI) [1.3-2.4]), were aged 35 years or older (AOR = 1.6, 95% CI [1.01-2.5]), had pregestational diabetes (AOR = 4.3, 95% CI [2.0-9.3]), and had gestational hypertension (AOR = 4.5, 95% CI [3.1-6.7]) compared to women who were White, aged 20-34 years, and did not have pregestational diabetes or gestational hypertension. Conclusions: Preventing and controlling chronic diabetes and hypertensive disorders of pregnancy is critical for reducing the risk of preterm birth, especially among women of advanced maternal age. Further research is needed to understand the underlying causes of racial disparities of preterm birth in ND.

Source: PeerJ

DOI: 10.7717/peerj.19049

Authors: Grace Njau, Ramona Danielson, Corey Day, Agricola Odoi

Institutions: North Dakota Department of Health, North Dakota Department of Human Services, University of Tennessee at Knoxville, North Dakota State University

Language: English

Topic: Maternal and Neonatal Healthcare

Subfield: General Health Professions

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: gold

Estimated APC paid: $1,395