Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 Article uri icon

abstract

  • This study aimed to estimate a socio-spatial vulnerability index for Type 2 Diabetes Mellitus (T2DM) at the municipal level in Mexico for 2020. It incorporated factors such as poverty, social backwardness, marginalization and human development. This ret-rospective, ecological study analyzed 317,011 incident cases of T2DM in 2020 utilizing multi-criteria decision analysis, with weighted values were assigned to each vulnerability criterion. A multiple linear regression model was developed, complemented by cluster and outlier analyses using Mora’n I and a local cluster-ing method. Spatial autocorrelation with high clustered values was found across 17.7%25 of Mexico (p<0.001). Conversely, 37.8%25 of the territory showed a pattern of low values without significant evidence of grouping. The analysis revealed 117 nodes of very high vulnerability forming six focal areas, 172 nodes with high vulnerability across five areas, 168 nodes with medium vulnerability in two areas, 112 nodes with low vulnerability across 16 areas and 152 nodes with very low vulnerability in 24 focal areas. This approach used proved to be robust offering a technical-scien-tific basis for guiding T2DM prevention strategies and actions using a spatial/epidemiological approach. It is recommended that future strategies take into account the factors mentioned to be effective.

publication date

  • 2025-01-01