Type 2 & other diabetes

National and regional burden of early-onset type 2 diabetes mellitus in the Americas from 1990 to 2023, attributable to modifiable risk factors, and projections to 2050: a systematic analysis for the global burden of disease study 2023

Diabetes Res Clin PractPublished Systematic analysis of the Global Burden of Disease Study 2023

Authors' conclusion

Between 1990 and 2023, the burden of early-onset T2DM attributable to MRFs varied widely across the Americas, and, although health inequality improved in some regions, the overall burden is projected to increase through 2050.

Study context

Population
People aged 25–39 years with early-onset T2D attributable to modifiable risk factors, the Americas, 1990–2023
Outcome
Burden (mortality and DALYs) of early-onset T2D attributable to modifiable risk factors
Follow-up
1990–2023
Methodological detailsJoinpoint regression, slope and concentration indices, Bayesian age-period-cohort projections
  • Joinpoint regression
  • Slope and concentration indices
  • Bayesian age-period-cohort projections

Main finding

As reported in the abstract

  • In 2023, highest age-standardized rates in Central Latin America; lowest in high-income regions
  • Age-standardized DALY rate trended upward 1990–2023 in Andean Latin America and High-income North America
  • Slight concentration of burden towards lower socioeconomic groups
  • Males consistently bore a higher burden than females across all regions

Observational data: associations, not effects.

Further findings

Projections of absolute deaths and disability-adjusted life years (DALYs) · through 2050

Continued rise in absolute deaths and DALYs forecast through 2050

Original publication

National and regional burden of early-onset type 2 diabetes mellitus in the Americas from 1990 to 2023, attributable to modifiable risk factors, and projections to 2050: a systematic analysis for the global burden of disease study 2023. Diabetes Res Clin Pract. Published 24 November 2025. doi:10.1016/j.diabres.2025.113007

Composed by AI from the published abstract and checked against it. How Briefs are made →

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