2024
DOI: 10.1111/jdi.14146
|View full text |Cite
|
Sign up to set email alerts
|

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

Chunping Dong,
Guifu Wu,
Hui Li
et al.

Abstract: AimsThis 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 MethodsData 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.ResultsIn China, type 1 diabetes deaths … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
references
References 64 publications
0
0
0
Order By: Relevance