Analysis of disease burden and trend prediction of blindness caused by type 2 diabetes mellitus in China from 1990 to 2021
10.13389/j.cnki.rao.2025.0165
- VernacularTitle:中国1990-2021年2型糖尿病所致失明疾病负担分析与趋势预测研究
- Author:
Qingyu SONG
1
;
Wenqiang HONG
1
;
Tao LIU
1
;
Jialun DU
1
;
Shuyan LI
1
Author Information
1. 201203 上海市,上海中医药大学附属第七人民医院
- Publication Type:Journal Article
- Keywords:
disease burden;
type 2 diabetes;
blindness;
decomposition analysis;
bayesian age-period-cohort
- From:
Recent Advances in Ophthalmology
2025;45(12):962-966
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the changing trends and epidemiological characteristics of the disease burden of blindness caused by type 2 diabetes mellitus(T2DM)in China from 1990 to 2021,and to predict the trends up to 2035.Methods Based on the standardized methodology of the Global Burden of Disease Study 2021,the age-standardized rates(ASRs)and their corresponding 95%uncertainty intervals(UI)for prevalence and years lived with disability(YLDs)rate were used to systematically describe the disease burden of blindness caused by T2DM in China.The temporal trends[esti-mated annual percentage change(EAPC)]and epidemiological characteristics were assessed,with attention to age and sex differences,to predict the trends in the disease burden up to 2035.Results From 1990 to 2021,the age-standardized prevalence rate increased from 6.03 per 100 000(95%UI:4.46-8.18)to 10.35 per 100 000(7.60-13.69),and the age-standardized YLDs rate increased from 1.09 per 100 000(95%UI:0.67-1.70)to 1.88 per 100 000(95%UI:1.21-2.90),with an EAPC of 2.18(95%CI:1.73-2.64).The disease burden was relatively heavier in females and the elderly population.Epidemiological changes,population growth,and aging collectively drove the increase in the burden of blind-ness caused by T2DM.The disease burden of blindness caused by T2DM is projected to continue rising by 2035.Conclu-sion The disease burden of blindness caused by T2DM in China continues to increase,with a relatively heavier burden on females and the elderly population.Future research should optimize the equity of medical resource allocation and conduct studies on the mechanisms of sex differences to enable precise interventions with evidence-based strategies.