Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020
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 index, and human development index. This retrospective ecological study analy...
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| Format: | Article |
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PAGEPress Publications
2025-01-01
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| Series: | Geospatial Health |
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| Online Access: | https://www.geospatialhealth.net/gh/article/view/1348 |
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| author | Enríque Ibarra-Zapata Darío Gaytán-Hernández Yolanda Terán-Figueroa Verónica Gallegos-García Carmen del Pilar Suárez-Rodríguez Sergio Zarazúa Guzmán Omar Parra Rodríguez |
| author_facet | Enríque Ibarra-Zapata Darío Gaytán-Hernández Yolanda Terán-Figueroa Verónica Gallegos-García Carmen del Pilar Suárez-Rodríguez Sergio Zarazúa Guzmán Omar Parra Rodríguez |
| author_sort | Enríque Ibarra-Zapata |
| collection | DOAJ |
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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 index, and human development index. This retrospective ecological study analyzed 317,011 incident cases of T2DM in 2020. Utilizing multi-criteria decision analysis, weighted values were assigned to each vulnerability criterion. A multiple linear regression model was developed, complemented by cluster and outlier analyses using Moran I’s and the high-low clustering method. A clustered spatial autocorrelation of high values was found across 17.65% of Mexico, which was statistically significant (p < 0.001). Conversely, 37.78% of the territory showed a pattern of low values without significant evidence of groupings. 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 method proves to be robust and offers a technical-scientific basis for guiding T2DM prevention strategies and actions using a spatial/epidemiological approach. It is recommended that future strategies take into account factors such as poverty, social backwardness, marginalization index, and human development index to be effective.
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| format | Article |
| id | doaj-art-8666d62fac7b48c68d41ec4e8c5877c1 |
| institution | Kabale University |
| issn | 1827-1987 1970-7096 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj-art-8666d62fac7b48c68d41ec4e8c5877c12025-01-28T02:39:03ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962025-01-0120110.4081/gh.2025.1348Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020Enríque Ibarra-Zapata0https://orcid.org/0000-0003-2884-0362Darío Gaytán-Hernández1Yolanda Terán-Figueroa2Verónica Gallegos-García3https://orcid.org/0000-0002-5978-5477Carmen del Pilar Suárez-Rodríguez4https://orcid.org/0000-0003-4482-8355Sergio Zarazúa Guzmán5https://orcid.org/0000-0002-8881-1742Omar Parra Rodríguez6https://orcid.org/0000-0002-9866-2218Faculty of Agronomy and Veterinary Science, Universidad Autónoma de San Luis Potosí, San Luis PotosíSchool of Nursing and Nutrition, Universidad Autonoma de San Luis Potosi, San Luis PotosiSchool of Nursing and Nutrition, Universidad Autonoma de San Luis Potosi, San Luis PotosiSchool of Nursing and Nutrition, Universidad Autonoma de San Luis Potosi, San Luis PotosiAcademic Coordination Southern Huasteca Region, Autonomous University of San Luis PotosSchool of Chemical Sciences, Universidad Autónoma de San Luis Potosí, San Luis PotosíEnvironmental Agenda, Universidad Autónoma de San Luis Potosí, San Luis Potosí 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 index, and human development index. This retrospective ecological study analyzed 317,011 incident cases of T2DM in 2020. Utilizing multi-criteria decision analysis, weighted values were assigned to each vulnerability criterion. A multiple linear regression model was developed, complemented by cluster and outlier analyses using Moran I’s and the high-low clustering method. A clustered spatial autocorrelation of high values was found across 17.65% of Mexico, which was statistically significant (p < 0.001). Conversely, 37.78% of the territory showed a pattern of low values without significant evidence of groupings. 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 method proves to be robust and offers a technical-scientific basis for guiding T2DM prevention strategies and actions using a spatial/epidemiological approach. It is recommended that future strategies take into account factors such as poverty, social backwardness, marginalization index, and human development index to be effective. https://www.geospatialhealth.net/gh/article/view/1348Vulnerabilitysocio-spatialdiabetes mellitusMexico |
| spellingShingle | Enríque Ibarra-Zapata Darío Gaytán-Hernández Yolanda Terán-Figueroa Verónica Gallegos-García Carmen del Pilar Suárez-Rodríguez Sergio Zarazúa Guzmán Omar Parra Rodríguez Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 Geospatial Health Vulnerability socio-spatial diabetes mellitus Mexico |
| title | Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 |
| title_full | Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 |
| title_fullStr | Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 |
| title_full_unstemmed | Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 |
| title_short | Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020 |
| title_sort | socio spatial vulnerability index of type 2 diabetes mellitus in mexico in 2020 |
| topic | Vulnerability socio-spatial diabetes mellitus Mexico |
| url | https://www.geospatialhealth.net/gh/article/view/1348 |
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