Epidemiological Patterns of Diabetes Mellitus in The United States of America: An Observational Multicenter Analysis From 1990 to 2024

Introduction

Diabetes mellitus (DM) represents one of the most pressing public health challenges of the 21st century, characterized by complex pathophysiological mechanisms and significant socioeconomic implications. The condition’s presentations include Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM) have peculiar epidemiological patterns and clinical manifestations that necessitate targeted therapeutic approaches and public health interventions [¹]. The burden of DM in the United States has undergone multiple transformation phases and changes over the past three decades, affected by demographic transitions, changing lifestyle patterns, and shifting population health metrics. Recent epidemiological data indicate that approximately 37.3 million Americans (11.3% of the population) have DM, with T2DM accounting for 90-95% of cases [²,³,⁴]. This prevalence demonstrates marked heterogeneity across demographic subgroups, with a disproportionate impact on racial and ethnic minorities, older adults, and socioeconomically disadvantaged populations. Especially concerning is the accelerating incidence of T2DM among younger adults and adolescents, a trend that challenges traditional paradigms of disease onset and progression [²,³]. The progression of DM epidemiology in the United States reflects various and multiple interactions between genetic predisposition, environmental factors, and societal changes [²]. With a special focus on the rise in obesity rates, sedentary lifestyle patterns, and dietary modifications have contributed to the increasing diabetes burden [⁵,⁶]. Also, improved diagnostic capabilities and enhanced surveillance systems have led to better disease detection and documentation, potentially influencing reported prevalence rates. Understanding these patterns and trends is important for healthcare planning, resource allocation, and the development of targeted interventions [⁷]. Disparities in diabetes prevalence and outcomes persist across various demographic groups, necessitating a comprehensive analysis of contributing factors [⁸]. Previous studies have documented higher diabetes rates among African American, Hispanic, and Native American populations compared to non-Hispanic whites, with variations in disease onset, progression, and complications [⁹,⁸]. These disparities often intersect with socioeconomic factors, healthcare access, and cultural determinants of health, creating complex patterns that require more focused investigation and targeted interventions [¹⁰,¹¹]. To address these critical knowledge gaps, we aim to perform a large-scale retrospective cohort study utilizing the TriNetX research database platform, which includes real-world data from several U.S. healthcare organizations. The TriNetX database provides access to de-identified electronic health records (EHRs), enabling various analysis options of diabetes trends across multiple demographic dimensions. Our study aims to observe and estimate the changes in DM incidence and prevalence from 1990 to 2024, stratified by age, sex, race, and ethnicity, offering important highlights and insights into the progression and changes within diabetes epidemiology in the United States.

Methods

Results:

Our analysis of DM trends in the United States from 1990 to 2024 has shown considerable changes in both incidence and prevalence, with present demographic variations. A total number of 52,922,301 patients were included from 69 healthcare organizations across the United States Figure 1.

Overall Trends:

The incidence proportion of combined T1DM and T2DM demonstrated a marked increase over the study period, rising from 3.98 per 1,000 individuals in 1990-1994 to 60.98 per 1,000 individuals in 2020-2024. Concurrently, the overall prevalence nearly doubled from 6.26% to 12.00%. The most prominent increase in the incidence occurred between 2000-2004 and 2010-2014, with the rate increasing almost threefold from 19.63 to 47.81 per 1,000 individuals Figure 2.

Discussion

Our epidemiological analysis of DM in the United States from 1990 to 2024 results show impactful and important considerations as trends that have profound implications for clinical practice and public health policy. The fifteen-fold increase in combined DM incidence, from 3.98 per 1,000 to 60.98 per 1,000, alongside a doubling of prevalence from 6.26% to 12.00%, represents a huge shift in disease burden that surpasses previous epidemiological projections. This significant increase forms and adds significant challenges for healthcare systems, with special considerations for those in the context of progressive treatment paradigms and the growing complexity of diabetes management protocols.

The timeline change patterns observed in our study go along with multiple significant developments in clinical practice and population health [¹³]. The increased rates in diabetes incidence between 2000-2004 and 2010-2014 parallel the utilization of updated diagnostic criteria, including revised HbA1c thresholds and expanded screening recommendations in the clinical guidelines [¹⁴,¹⁵,¹⁶,¹⁷]. However, this period also faced unprecedented changes in population-level risk factors, especially the rising prevalence of obesity and sedentary lifestyle patterns. The near twenty-fold increase in T2DM incidence (3.52 to 59.30 per 1,000) suggests that current preventive strategies and lifestyle interventions have been insufficient in counteracting these environmental and behavioral risk factors, necessitating a reevaluation of current clinical approaches to disease prevention more actively and practically [¹⁸,¹⁹].

Age-stratified analysis in our study highlights some important implications for clinical resource allocation and therapeutic decision-making; as the concentration of peak incidence in the 70-74 age group (128.88 per 1,000) and maximum prevalence in the 75-79 cohort (26.82%) indicates a need for specialized geriatric diabetes care protocols that address the unique challenges of managing diabetes in older adults, including considerations for polypharmacy, cognitive decline, and functional status [²⁰,²¹]. The observed decline in both metrics among those ≥85 years likely reflects competing mortality risks rather than reduced disease susceptibility, focusing on the importance of individualized treatment approaches in this vulnerable population.

The persistent sex-based disparities in our findings, with males demonstrating consistently higher rates across all age groups (incidence: 69.40 vs 54.07 per 1,000; prevalence: 13.23% vs 10.90%), suggest possible biological and behavioral factors that require further clinical investigation and studies to focus on this point [²²,²³]. These differences may reflect variations in healthcare-seeking behaviors, differential responses to current therapeutic approaches, or underlying pathophysiological mechanisms that could inform more targeted treatment strategies. The racial and ethnic disparities observed, as among Native Hawaiians/Pacific Islanders (incidence: 94.75 per 1,000; prevalence: 20.65%) and Hispanic/Latino populations, warn us and highlight the need for culturally competent care delivery and targeted interventions that address both biological susceptibility and socioeconomic barriers to optimal diabetes management, as the current care is not standardized and show prominent disparities [²⁴].

The bell-shaped statistical trend of T1DM incidence, peaking at 7.46 per 1,000 in 2010-2014 before declining to 4.59 per 1,000, may reflect that there were environmental triggers or changes in autoimmune disease patterns that merit further focus to be studied clearly [²⁵,²⁶,²⁷,²⁸,²⁹]. On the other side, the relentless rise in T2DM, now comprising approximately 90% of all cases, calls for the urgent need for more aggressive preventive strategies and earlier therapeutic intervention, and to focus more on those labeled as high-risk populations identified through our demographic analysis [³⁰]. The continuing increase in diabetes burden necessitates systematic changes in healthcare delivery models, including expanded capacity for endocrine care, enhanced primary care resources, and improved integration of preventive services [³¹]. The disparities observed in our analysis call for targeted interventions that address both medical and social determinants of health, including improved access to care, culturally appropriate diabetes education, and community-based prevention programs [³²,³³].

In our study, some limitations and bias considerations should be acknowledged. At first, the reliance on EHRs may underestimate true population rates due to undiagnosed cases and variable healthcare access. Changes in diagnostic criteria and screening practices over the study period may influence trend changes over time, though our analysis suggests that the observed increases exceed what would be expected from these factors alone. Also, limitations in socioeconomic data collection preclude a more detailed analysis of social determinants that may influence disease patterns. Future studies and further ongoing directions should focus on interpreting the biological and environmental factors driving observed sex-based differences, evaluating the effectiveness of targeted interventions in high-risk populations, and examining the impact of novel and new therapeutics on disease trajectories. Special attention should be paid to investigating the role of social determinants in observed disparities and developing more effective strategies for early intervention in vulnerable populations.

Conclusions:

Our insights from DM epidemiology in the United States over three decades inform us with alarming considerations that demand immediate attention from healthcare systems and policymakers. The fifteen-fold increase in diabetes incidence, coupled with significant and prominent health demographic disparities, is presenting a critical public health challenge that should be approached with a multi-faceted response. The observed patterns between T1DM and T2DM highlight the need for differentiated prevention strategies, while the disproportionate burden among certain populations highlights persistent healthcare inequities. The findings of our analysis summarize for us three major areas requiring intervention. First, the significant increase in T2DM incidence, especially among younger age groups, necessitates enhanced preventive strategies and earlier intervention in high-risk populations. Second, the persistent racial and ethnic disparities demand culturally competent care delivery systems and targeted interventions addressing both biological susceptibility and socioeconomic barriers. Third, the age-specific patterns observed, with a focus on the high burden among older adults, call for specialized geriatric diabetes care protocols and improved integration of preventive services. These epidemiological considerations and trends should inform healthcare policy and resource allocation decisions. Healthcare systems must expand endocrine care capacity, enhance primary care resources, and improve preventive service integration. Also, the development of targeted interventions addressing social determinants of health and cultural barriers to care is essential. Given that evidence, further studies and future evidence should focus on understanding the biological and environmental factors driving observed disparities, evaluating the effectiveness of targeted interventions, and investigating the impact of emerging therapeutics on disease trajectories. The magnitude and persistence of these trends underscore the urgent need for systematic changes in diabetes prevention and management approaches. Success in addressing this growing epidemic will require coordinated efforts across healthcare systems, public health organizations, and policymakers, with special attention to vulnerable populations and health equity.