Global trends and spatial drivers of diabetes mellitus mortality, 1990-2019: a systematic geographical analysis

Front Endocrinol (Lausanne). 2024 Apr 12:15:1370489. doi: 10.3389/fendo.2024.1370489. eCollection 2024.

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.

Keywords: diabetes; risk factor; spatial regression; spatiotemporal variation; sustainable development goals.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollution / adverse effects
  • Diabetes Mellitus* / epidemiology
  • Diabetes Mellitus* / mortality
  • Global Health*
  • Humans
  • Mortality / trends
  • Risk Factors
  • Socioeconomic Factors
  • Spatial Analysis*

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the General Research Fund from the National Natural Science Foundation of China (No. 41971184, No. 42142025), National Natural Science Foundation of Guangdong Province (No. 2018B030312004, No. 2022A1515011113), the Philosophy and Social Sciences Planning 2022 Spiritual Research Project of the 13th Provincial Party Congress of Guangdong Province (No. GD22TW06-09), Tertiary Education Scientific research project of Guangzhou Municipal Education Bureau (No. 202235023), and the 2022 Guangzhou Basic Research Program City School (College) Joint Funding Basic and Applied Basic Research Project.