Trends and Inequalities in Diabetes-Related Complications Among U.S. Adults, 2000-2020.

OBJECTIVE: We examined national trends in diabetes-related complications (heart failure [HF], myocardial infarction [MI], stroke, end-stage renal disease [ESRD], nontraumatic lower-extremity amputation [NLEA], and hyperglycemic crisis) among U.S. adults with diagnosed diabetes during 2000-2020 by age-group, race and ethnicity, and sex. We also assessed trends in inequalities among those subgroups. RESEARCH DESIGN AND METHODS: Hospitalization rates for diabetes-related complications among adults (≥18 years) were estimated using the 2000-2020 National (Nationwide) Inpatient Sample. The incidence of diabetes-related ESRD was estimated using the United States Renal Data System. The number of U.S. adults with diagnosed diabetes was estimated from the National Health Interview Survey. Annual percent change (APC) was estimated for assessment of trends. RESULTS: After declines in the early 2000s, hospitalization rates increased for HF (2012-2020 APC 3.9%, P < 0.001), stroke (2009-2020 APC 2.8%, P < 0.001), and NLEA (2009-2020 APC 5.9%, P < 0.001), while ESRD incidence increased (2010-2020 APC 1.0%, P = 0.044). Hyperglycemic crisis increased from 2000 to 2020 (APC 2.2%, P < 0.001). MI hospitalizations declined during 2000-2008 (APC -6.0%, P < 0.001) and were flat thereafter. On average, age inequalities declined for hospitalizations for HF, MI, stroke, and ESRD incidence but increased for hyperglycemic crisis. Sex inequalities increased on average for hospitalizations for stroke and NLEA and for ESRD incidence. Racial and ethnic inequalities declined during 2012-2020 for ESRD incidence but increased for HF, stroke, and hyperglycemic crisis. CONCLUSIONS: There was a continued increase of several complications in the past decade. Age, sex, and racial and ethnic inequalities have worsened for some complications.

State-Specific Prevalence of Depression Among Adults With and Without Diabetes - United States, 2011-2019.

INTRODUCTION: In 2019 among US adults, 1 in 9 had diagnosed diabetes and 1 in 5 had diagnosed depression. Since these conditions frequently coexist, compounding their health and economic burden, we examined state-specific trends in depression prevalence among US adults with and without diagnosed diabetes. METHODS: We used data from the 2011 through 2019 Behavioral Risk Factor Surveillance System to evaluate self-reported diabetes and depression prevalence. Joinpoint regression estimated state-level trends in depression prevalence by diabetes status. RESULTS: In 2019, the overall prevalence of depression in US adults with and without diabetes was 29.2% (95% CI, 27.8%-30.6%) and 17.9% (95% CI, 17.6%-18.1%), respectively. From 2011 to 2019, the depression prevalence was relatively stable for adults with diabetes (28.6% versus 29.2%) but increased for those without diabetes from 15.5% to 17.9% (average annual percent change [APC] over the 9-year period = 1.6%, P = .015). The prevalence of depression was consistently more than 10 percentage points higher among adults with diabetes than those without diabetes. The APC showed a significant increase in some states (Illinois: 5.9%, Kansas: 3.5%) and a significant decrease in others (Arizona: -5.1%, Florida: -4.0%, Colorado: -3.4%, Washington: -0.9%). In 2019, although it varied by state, the depression prevalence among adults with diabetes was highest in states with a higher diabetes burden such as Kentucky (47.9%), West Virginia (47.0%), and Maine (41.5%). CONCLUSION: US adults with diabetes are more likely to report prevalent depression compared with adults without diabetes. These findings highlight the importance of screening and monitoring for depression as a potential complication among adults with diabetes.

Diabetes Prevalence and Incidence Inequality Trends Among U.S. Adults, 2008-2021.

INTRODUCTION: This study examined national trends in age, sex, racial and ethnic, and socioeconomic inequalities for diagnosed diabetes prevalence and incidence among U.S. adults from 2008 to 2021. METHODS: Adults (aged ≥18 years) were from the National Health Interview Survey (2008-2021). The annual between-group variance (BGV) for sex, race, and ethnicity; and the slope index of inequality (SII) for age, education, and poverty-to-income ratio along with the average annual percentage change (AAPC) were estimated in 2023 to assess trends in inequalities over time in diabetes prevalence and incidence. For BGV and SII, a value of 0 represents no inequality, whereas a value further from 0 represents greater inequality. RESULTS: On average over time, poverty-to-income ratio inequalities in diabetes prevalence worsened (SII= -8.24 in 2008 and -9.80 in 2021; AAPC for SII= -1.90%, p=0.003), whereas inequalities in incidence for age (SII=17.60 in 2008 and 8.85 in 2021; AAPC for SII= -6.47%, p<0.001), sex (BGV=0.09 in 2008, 2.05 in 2009, 1.24 in 2010, and 0.27 in 2021; AAPC for BGV= -12.34%, p=0.002), racial and ethnic (BGV=4.80 in 2008 and 2.17 in 2021; AAPC for BGV= -10.59%, p=0.010), and education (SII= -9.89 in 2008 and -2.20 in 2021; AAPC for SII=8.27%, p=0.001) groups improved. CONCLUSIONS: From 2008 to 2021, age, sex, racial and ethnic, and education inequalities in the incidence of diagnosed diabetes improved but persisted. Income-related diabetes prevalence inequalities worsened over time. To close these gaps, future research could focus on identifying the factors driving these trends, including the contribution of morbidity and mortality.

Trajectory of Excess Medical Expenditures 10 Years Before and After Diabetes Diagnosis Among U.S. Adults Aged 25-64 Years, 2001-2013.

OBJECTIVE: We assessed the excess medical expenditures for adults newly diagnosed with diabetes, for up to 10 years before and after diabetes diagnosis. RESEARCH DESIGN AND METHODS: Using the 2001-2013 MarketScan data, we identified people with newly diagnosed diabetes among adults aged 25-64 years (diabetes cohort) and matched them with people who did not have diagnosed diabetes (control cohort) using 1:1 propensity score matching. We followed these two cohorts up to ±10 years from the index date, with annual matched cohort sizes ranging from 3,922 to 39,726 individuals. We estimated the yearly and cumulative excess medical expenditures of the diabetes cohorts before and after the diagnosis of diabetes. RESULTS: The per capita annual total excess medical expenditure for the diabetes cohort was higher for the entire 10 years prior to their index date, ranging between $1,043 in year -10 and $4,492 in year -1. Excess expenditure spiked in year 1 ($8,109), declined in year 2, and then increased steadily, ranging from $4,261 to $6,162 in years 2-10. The cumulative excess expenditure for the diabetes cohort during the entire 20 years of follow-up was $69,177 ($18,732 before and $50,445 after diagnosis). CONCLUSIONS: People diagnosed with diabetes had higher medical expenditures compared with their counterparts, not only after diagnosis but also up to 10 years prior to diagnosis. Managing risk factors for type 2 diabetes and cardiovascular disease before diagnosis, and for diabetes-related complications after diagnosis, could alleviate medical expenditure in people with diabetes.