Background: Type 2 diabetes mellitus (T2DM) is a major cause of declining renal function.Methods: Temporal trends in T2DM-related chronic kidney disease (CKD-T2DM) incidence across 204 countries and territories from 1992 to 2021 were analyzed using data from the Global Burden of Disease 2021. The impact of macro-factors (demographic change, age, period, and birth cohort) on CKD-T2DM incidence trends was assessed using decomposition analyses and age-period- cohort modeling, highlighting opportunities to improve incidence and reduce regional disparities.Results: In 2021, global CKD-T2DM incidence cases reached 2.01 million, a 150.92% increase since 1992, with population growth and aging contributing to 80% of this rise. The age-standardized incidence rate (ASIR) ranged from 15.09 per 100,000 in low sociodemographic index (SDI) regions to 23.07 in high SDI regions. China, India, the United States, and Japan have the most incidence cases, accounted for 69% of incidence cases globally. With 175 countries showing an increasing ASIR trend. Unfavorable trend in ASIR increase were generally found in most high-middle and middle SDI countries, such as China and Mexico (net drift=0.15% and 1.17%, per year). Age-period-cohort analyses indicated a high incidence risk near age 80, with worsening risks for recent periods and birth cohorts, except in high SDI areas.Conclusion: The CKD-T2DM incidence burden continues to rise globally, with significant variations between countries, posing major global health implications. CKD-T2DM is largely preventable and treatable, warranting greater attention in global health policy, particularly for older populations and in low and middle SDI regions.

Dengue, an acute infectious disease caused by the dengue virus, remains a major public health problem in the 21st century. This study investigated the global dengue burden, identified high-risk regions, evaluated the long-term incidence trends, and can inform evidence-based control strategies. Using GBD 2021 data, we analysed the dengue incidence from 1992 to 2021 using age–period–cohort models. We determined the net drift (overall annual percentage change), local drift (annual percentage change for each age group), longitudinal age curves (expected longitudinal age-specific rates), and periods’ (cohorts’) relative risks. In 2021, the global age-standardised incidence rate reached 752.04/100,000 (95% UI: 196.33–1363.35), a 47.26% increase since 1992. High-risk regions included eastern sub-Saharan Africa, Southeast Asia, South Asia, and Latin America and the Caribbean. Southeast Asia experienced the largest rise (65.43%), with a net drift of 2.47% (1992–2021). While individuals aged 5–39 years bore the highest burden, those over 80 faced an elevated risk. Dengue remains a critical public health threat, disproportionately affecting younger populations but increasingly endangering older adults. Targeted interventions in high-risk regions and age groups, coupled with precision public health strategies, are essential to enhance prevention and control efforts.

Background: HALE is now a regular strategic planning indicator for all levels of the Chinese government. However, HALE measurements necessitate comprehensive data collection and intricate technology. Therefore, effectively converting numerous diseases into the years lived with disability (YLD) rate is a significant challenge for HALE measurements. Our study aimed to construct a simple YLD rate measurement model with high applicability based on the current situation of actual data resources within China to address challenges in measuring HALE target values during planning. Methods: First, based on the Chinese YLD rate in the Global Burden of Disease (GBD) 2019, Pearson correlation analysis, the global optimum method, etc., was utilized to screen the best predictor variables from the current Chinese data resources. Missing data for predictor variables were filled in via spline interpolation. Then, multiple linear regression models were fitted to construct the YLD rate measurement model. The Sullivan method was used to measure HALE. The Monte Carlo method was employed to generate 95% uncertainty intervals. Finally, model performances were assessed using the mean absolute error (MAE) and mean absolute percentage error (MAPE). Results: A three-input-parameter model was constructed to measure the age-specific YLD rates by sex in China, directly using the incidence of infectious diseases, the incidence of chronic diseases among persons aged 15 and older, and the addition of an under-five mortality rate covariate. The total MAE and MAPE for the combined YLD rate were 0.0007 and 0.5949%, respectively. The MAE and MAPE of the combined HALE in the 0-year-old group were 0.0341 and 0.0526%, respectively. There were slightly fewer males (0.0197, 0.0311%) than females (0.0501, 0.0755%). Conclusion: We constructed a high-accuracy model to measure the YLD rate in China by using three monitoring indicators from the Chinese national routine as predictor variables. The model provides a realistic and feasible solution for measuring HALE at the national and especially regional levels, considering limited data.