A Bayesian spatio-temporal analysis on racial disparities in hypertensive disorders of pregnancy in Florida, 2005–2014. (June 2019)

• Record Type: Journal Article
• Authors: Hu, Hui; Xiao, Hong; Zheng, Yi; Yu, Bo (Bonnie)
• Is Part Of: Spatial and spatio-temporal epidemiology. Volume 29(2019)
• Page Start: 43
• Page End: 50
• Publication Date: 2019-06
• Subjects: Hypertensive disorders of pregnancy -- Racial disparities -- Bayesian -- Spatio-temporal analysis; Epidemiology -- Statistical methods -- Periodicals; Epidemiology -- Periodicals; 614.4072
• DOI: 10.1016/j.sste.2019.03.002
• Languages: English
• ISSNs: 1877-5845

Abstract

Abstract: Disparities in hypertensive disorders of pregnancy (HDP) exist among racial and ethnic groups in the US. However, little is known about spatio-temporal variations in HDP disparities. We used a Bayesian hierarchical regression approach to investigate spatio-temporal variations in HDP disparities from 2005 to 2014. County-level variation was firstly examined, followed by census tract-level variation assessment in counties where high HDP disparities were observed. A significant disadvantage in HDP was revealed for African Americans in Florida overall (Odds Ratio: 1.27, 95% Confidence Interval: 1.25, 1.29), with significant spatial variations. The greatest HDP disparities between African Americans and non-African Americans occurred in North Central Florida counties (the Big Bend region of Florida), with consistent patterns from 2005 to 2014. Analyses at census tract-level further revealed significant neighborhood disparities within these counties. Findings from this study provide important information for public health agencies and policymakers to reduce HDP disparities at the population level.