Income-related inequalities in diagnosed diabetes prevalence among US adults, 2001-2018

• Published in: PloS one Vol. 18; no. 4; p. e0283450
• Main Authors: Chen, Yu, Zhou, Xilin, Bullard, Kai McKeever, Zhang, Ping, Imperatore, Giuseppina, Rolka, Deborah B
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 13.04.2023; Public Library of Science (PLoS)
• Subjects: Adult; Adults; Age groups; Biology and Life Sciences; Decomposition; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - diagnosis; Diabetes Mellitus, Type 2 - epidemiology; Diagnosis; Distribution; Ethnicity; Evaluation; Exercise; Health Status Disparities; Hispanic people; Humans; Income; Inequality; Low income groups; Medical care, Cost of; Medicine and Health Sciences; Minority & ethnic groups; Obesity; People and Places; Physical activity; Population; Population studies; Populations; Poverty; Prevalence; Risk factors; Social Sciences; Socioeconomic Factors; Trends; United States; United States > US
• DOI: 10.1371/journal.pone.0283450
• ISSN: 1932-6203

The overall prevalence of diabetes has increased over the past two decades in the United States, disproportionately affecting low-income populations. We aimed to examine the trends in income-related inequalities in diabetes prevalence and to identify the contributions of determining factors. We estimated income-related inequalities in diagnosed diabetes during 2001-2018 among US adults aged 18 years or older using data from the National Health Interview Survey (NHIS). The concentration index was used to measure income-related inequalities in diabetes and was decomposed into contributing factors. We then examined temporal changes in diabetes inequality and contributors to those changes over time. Results showed that income-related inequalities in diabetes, unfavorable to low-income groups, persisted throughout the study period. The income-related inequalities in diabetes decreased during 2001-2011 and then increased during 2011-2018. Decomposition analysis revealed that income, obesity, physical activity levels, and race/ethnicity were important contributors to inequalities in diabetes at almost all time points. Moreover, changes regarding age and income were identified as the main factors explaining changes in diabetes inequalities over time. Diabetes was more prevalent in low-income populations. Our study contributes to understanding income-related diabetes inequalities and could help facilitate program development to prevent type 2 diabetes and address modifiable factors to reduce diabetes inequalities.