• Jocelyn V Hunyadi, Kehe Zhang, Qian Xiao, Larkin L Strong, and Cici Bauer.
• Department of Biostatistics and Data Science, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX, United States; Center for Spatial-Temporal Modeling for Applications in Population Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX, United States.
• Am J Prev Med. 2024 Sep 3.

IntroductionChronic diseases are primary causes of mortality and disability in the U.S. Although individual-level indices to assess the burden of multiple chronic diseases exist, there is a lack of quantitative tools at the population level. This gap hinders the understanding of the geographical distribution and impact of chronic diseases, crucial for effective public health strategies. This study aimed to construct a Chronic Disease Burden Index (CDBI) for evaluating county-level disease burden, to identify geographic and temporal patterns, and investigate the association between CDBI and social vulnerability.Methods20 health measures from CDC's PLACES database (2018-2021) were used to construct annual county-level CDBIs through principal component analysis. Geographic hotspots of chronic disease burden were identified using Getis-Ord Gi*. Multinomial logistic regression models and bivariate maps were used to assess the association between CDBI and CDC's social vulnerability index (SVI). Analyses were conducted in 2023-2024.ResultsCounties with high chronic disease burden were predominantly clustered in the southern U.S. High persistent chronic disease burden was prevalent in Kentucky and West Virginia, while increased burden was observed in Ohio and Texas. Chronic disease burden was highly associated with SVI (ORQ5 vs Q1= 7.6, 95% CI: [6.6, 8.8]), with non-metro urban counties experiencing elevated CDBI (OR = 14.6 95% CI: [9.7, 21.9]).ConclusionsThe CDBI offers an effective tool for assessing chronic disease burden at the population-level. Identifying high burden and vulnerable communities is a crucial first step towards facilitating resource allocation to enhance equitable healthcare access and advancing understanding of health disparities.Copyright © 2024. Published by Elsevier Inc.

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