Gestational Diabetes Prevalence Estimates from Three Data Sources, 2018

• Published in: Maternal and child health journal Vol. 28; no. 8; pp. 1308 - 1314
• Main Authors: Bolduc, Michele L.F., Mercado, Carla I., Zhang, Yan, Lundeen, Elizabeth A., Ford, Nicole D., Bullard, Kai McKeever, Carty, Denise C.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2024; Springer; Springer Nature B.V
• Subjects: Adolescent; Adult; Brief Report; Databases, Factual; Demographic aspects; Demographics; Diabetes in pregnancy; Diabetes, Gestational - epidemiology; Distribution; Female; Forecasts and trends; Gestational diabetes; Gynecology; Humans; Information Sources; Jurisdiction; Maternal and Child Health; Medicine; Medicine & Public Health; Pediatrics; Population Economics; Population Surveillance - methods; Pregnancy; Prevalence; Public Health; Risk assessment; Risk Assessment - methods; Sociology; Surveillance; United States - epidemiology; Vital statistics; Young Adult; United States; Pregnancy; Birth certificates; Gestational; Hospital records; Diabetes; Maternal health; Epidemiology; Health surveys
• DOI: 10.1007/s10995-024-03935-1
• ISSN: 1092-7875; 1573-6628

Introduction We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey). Methods We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18–39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories. Results GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics. Discussion Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM. Significance What is Already Known on this Subject? Gestational diabetes mellitus (GDM) prevalence varies by data system and population. Estimates of GDM prevalence are essential to inform prevention, identification, and management programs. What this Report Adds? GDM prevalence estimates varied widely by data system (NVSS, SID, PRAMS) and participant demographics varied only slightly when a subset of comparable data were evaluated using jurisdictions available in all three systems (21 states and the District of Columbia). Understanding the differences between surveillance data systems can help researchers better identify people and places at higher risk of GDM.