Introduction: We assessed state-level disparities in diabetes prevalence among adults in rural and urban areas in the United States.
Methods: We estimated state-specific diabetes prevalence in rural and urban areas in 41 states with applicable data from the 2021 Behavioral Risk Factor Surveillance System. Rural areas were defined based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme. We estimated diabetes odds ratios (ORs) in rural versus urban areas in each state by using logistic regressions adjusted for sociodemographic characteristics and obesity status. Analyses were conducted in 2023.
Results: In rural areas, diabetes prevalence was 14.3%, ranging from 8.4% in Colorado to 21.3% in North Carolina. In urban areas, the prevalence was 11.2%, ranging from 6.9% in Colorado to 15.5% in West Virginia. Unadjusted diabetes ORs in rural versus urban areas were significant (P < .05) and greater than 1 for 19 states. After adjusting for age, sex, race, and ethnicity, the ORs were significant and greater than 1 for 7 states (Florida, Illinois, Kentucky, Maryland, North Carolina, Oregon, and Virginia). With additional adjustment for education, income, and obesity status, diabetes ORs in rural versus urban areas remained significant and greater than 1 for 2 states (North Carolina and Oregon).
Conclusion: Our findings reveal significant geographic disparities in diabetes prevalence between rural and urban areas in 19 states. The differences in most states may have been explained by rural-urban differences in sociodemographic characteristics and obesity rates. Our findings could inform decision makers to identify effective ways to reduce rural-urban disparities within states.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.5888/pcd22.240199 | DOI Listing |
Introduction: The prevalence of epilepsy in sub-Saharan Africa varies considerably, and the exact estimate for Ghana remains unclear, particularly in peri-urban areas where data are scarce. More community-based studies are required to understand better the actual burden of epilepsy in these areas and the difficulties in accessing healthcare.
Objective: To adapt and validate a household survey epilepsy-screening instrument in Shai-Osudoku and Ningo-Prampram District of Greater Accra Region, Ghana.
In July 2022 southeast England experienced a record breaking heatwave and unprecedented wildfires in urban areas. We investigate fire weather trends since 1960 in southeast England using a large ensemble of initialised climate models. Record smashing temperatures coincided with widespread fires in London, and we find that while wildfire risk was high, it was not record breaking.
View Article and Find Full Text PDFData Brief
June 2024
Joint Research Center, European Commission, Ispra, Italy.
Urban focused semantically segmented datasets (e.g. ADE20k or CoCo) have been crucial in boosting research and applications in urban areas by providing rich sources of delineated objects in Street View Images (SVI).
View Article and Find Full Text PDFFront Public Health
January 2025
School of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Background: The term "danger signs" refers to any symptoms or indicators that suggest a pregnant woman may be at risk during pregnancy. Mothers are often burdened with responsibilities, and the majority of them do not even receive treatment for potential complications, which can ultimately lead to the loss of their lives. This situation highlights the barriers that prevent them from being properly prepared for potential risks.
View Article and Find Full Text PDFUrban Stud
October 2023
Department of Sociology, Princeton University, Princeton, NJ, USA.
In the United States, zoning and land use policies have been linked to high housing costs and residential segregation. Yet almost all zoning and land use data come from a handful of cross-sectional surveys, which are costly, time intensive, subject to low response rates and measurement error and are quickly dated. As an alternative, we construct the National Zoning and Land Use Database using natural language processing techniques on publicly available administrative data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!