ArticleFrontiers in endocrinology2024
Global trends and spatial drivers of diabetes mellitus mortality, 1990-2019: a systematic geographical analysis.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolomics profile in diabetes and blood glucose regulation: a systematic review.Frontiers in nutrition · 2026Pooled it
- Geospatial codistribution of tuberculosis and diabetes mellitus in Indonesia.Infectious diseases of poverty · 2026Article
- Trends in Diabetes Mellitus and Associated Mental Disorders-Related Mortality (1999-2023): A CDC WONDER Database Analysis.Brain and behavior · 2025Article
- Integrative biomarker analysis in diabetic foot: lipids, cellular integrity, and hydration balance.Diabetology & metabolic syndrome · 2025Article
- A Body Shape Index (ABSI) as a risk factor for all-cause mortality among US adults with type 2 diabetes: evidence from the NHANES 1999-2018.Journal of diabetes and metabolic disorders · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
Objective: Diabetes mellitus is the leading cause of death worldwide, and multiple risk factors associated with diabetes mortality. Methods: Employing spatial statistics, we characterized the spatial distribution and patterns of diabetes mortality, and revealed the spatial relationship between diabetes mortality and 11 socioeconomic and environmental risk factors at the country level, from 1990 to 2019. Results: Globally, significantly high rates of diabetes mortality were primarily clustered in countries with limited land areas or located on islands, such as Fiji, Kiribati, Eswatini, and Trinidad and Tobago. Countries with weaker economic independence are more likely to have higher diabetes mortality rates. In addition, the impact of socioeconomic and environmental factors was significant at the country level, involving health expenditure, number of physicians, household and ambient air pollution, smoking, and alcohol consumption. Notably, the spatial relationship between diabetes mortality and ambient air pollution, as well as alcohol consumption, showed negative correlations. Countries with high diabetes mortality rates generally had lower levels of ambient air pollution and alcohol consumption. Conclusion: The study highlights the spatial clustering of diabetes mortality and its substantial variation. While many risk factors can influence diabetes mortality, it's also essential to consider the level of these factors at the country level. Tailoring appropriate interventions based on specific national circumstances holds the potential to more effectively mitigate the burden of diabetes mortality.
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