ArticleFrontiers in public health2023
Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 12 citations in OpenAlex.
- Role of gut microbiota in lead-induced neural damage in diabetic mice.World journal of diabetes · 2026Article
- Role and mechanism of mitochondrial dysfunction‑related gene biomarkers in the progression of type 2 diabetes mellitus.Molecular medicine reports · 2025Article
- The relationship between sociodemographic characteristics, lifestyle, and diet quality with diabetes risk in overweight and obese Turkish adults.BMC public health · 2025Observational
- Global, regional, and national burden of type 2 diabetes mellitus caused by high BMI from 1990 to 2021, and forecasts to 2045: analysis from the global burden of disease study 2021.Frontiers in public health · 2025Article
- The global incidence rate of type 2 diabetes related chronic kidney disease and predictions by Bayesian age-period-cohort analysis: findings from the Global Burden of Disease Study 2019.Frontiers in endocrinology · 2025Article
- Global burden of type 2 diabetes attributable to secondhand smoke: a comprehensive analysis from the GBD 2021 study.Frontiers in endocrinology · 2025Article
- Patterns of discussion on neuroticism and self-management behaviors in type 2 diabetes: a scoping review using machine learning-assisted text mining.Frontiers in public health · 2025Article
- Global and national burden of type 2 diabetes mellitus attributable to PM2.5 air pollution: An analysis of the GBD study from 1990 to 2019.Physiological reports · 2024Article
- Causal association between air pollution and autoimmune diseases: a two-sample Mendelian randomization study.Frontiers in public health · 2024Article
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7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: Analyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM. Methods: We downloaded data from the Global Burden of Disease Study 2019 to estimate the disease burden of T2DM in China. Secondary analyses were performed by year, age, gender, summary exposure value (SEV), and sociodemographic index (SDI). Results: In China, it is estimated that 3.74 (3.44-4.10) million incidence, 90.0 (82.3-98.5) million prevalence, 168.4 (143.2-194.0) thousand deaths, and 9.6 (7.6-11.9) million DALYs occurred in 2019, showing an increase of 96.8, 156.7, 162.8, and 145.4% compared to 1990. An inverse U-shaped curve was observed for the correlations between T2DM-related burden and SDI. A heavier burden was found in males. The top four risk factors were high body mass index (HBMI), dietary risks, air pollution and tobacco. HBMI, as the key risk, accounted for half of the disease burden of T2DM in China. Lower degree of SEV and higher level of attributable T2DM-related burden could be found in main risks, meaning their critical role of them in the development and progression of T2DM. An inverse U-shaped curve could be found in the association between age-standardized incidence, mortality, DALYs rate, and SDI. Conclusion: The disease burden of T2DM has rapidly increased in China. Gender disparities, different age distributions and inconsistent socioeconomic levels all played an important role in it. The key risk was HBMI. With the improvement of socioeconomic level, the main risk factors for T2DM have changed from environmental factors to lifestyle factors. Targeted control and preventative strategies to address adjustable risk factors could put an end to this soaring burden.
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