Type 1 and Type 2 Diabetes Mortality Burden: Predictions for 2030 Based on Bayesian Age-period-cohort Analysis of China and Global Mortality Burden from 1990 to 2019
Overview
Authors
Affiliations
Aims: This study assessed diabetes (type 1 and type 2) mortality in China and globally from 1990 to 2019, predicting the next decade's trends.
Materials And Methods: Data came from the Global Burden of Disease (GBD) database. The annual percentage change (AAPC) in age-standardized mortality rates (ASMR) for diabetes (type 1 and type 2) during 1990-2019 was calculated. A Bayesian age-period-cohort (BAPC) model predicted diabetes (type 1 and type 2) mortality from 2020 to 2030.
Results: In China, type 1 diabetes deaths declined from 6,005 to 4,504 cases (AAPC -2.827), while type 2 diabetes deaths rose from 64,084 to 168,388 cases (AAPC -0.763) from 1990 to 2019. Globally, type 1 diabetes deaths increased from 55,417 to 78,236 cases (AAPC 0.223), and type 2 diabetes deaths increased from 606,407 to 1,472,934 cases (AAPC 0.365). Both China and global trends showed declining type 1 diabetes ASMR. However, female type 2 diabetes ASMR in China initially increased and then decreased, while males had a rebound trend. Peak type 1 diabetes deaths were in the 40-44 age group, and type 2 diabetes peaked in those over 70. BAPC predicted declining diabetes (type 1 and type 2) mortality burden in China and globally over the next 10 years.
Conclusions: Type 2 diabetes mortality remained high in China and globally despite decreasing type 1 diabetes mortality over 30 years. Predictions suggest a gradual decrease in diabetes mortality over the next decade, highlighting the need for continued focus on type 2 diabetes prevention and treatment.
Tian X, Wang C, Hao Z, Chen J, Wu N Front Reprod Health. 2024; 6:1475498.
PMID: 39720120 PMC: 11666487. DOI: 10.3389/frph.2024.1475498.
Almasri R, Bedir A, Ranneh Y, El-Tarabily K, Al Raish S Nutrients. 2024; 16(22).
PMID: 39599634 PMC: 11597306. DOI: 10.3390/nu16223848.
Santos da Silva T, da Silva-Junior L, Horvath-Pereira B, Valbao M, Garcia M, Lopes J Biomimetics (Basel). 2024; 9(10).
PMID: 39451804 PMC: 11505355. DOI: 10.3390/biomimetics9100598.
Kaya H, Demirtas B Naunyn Schmiedebergs Arch Pharmacol. 2024; .
PMID: 39382680 DOI: 10.1007/s00210-024-03517-6.
Bhimavarapu U Health Inf Sci Syst. 2024; 12(1):42.
PMID: 39144576 PMC: 11319704. DOI: 10.1007/s13755-024-00301-x.