Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis

ABSTRACT: Introduction: Socioeconomic inequalities in diabetes have been associated with less control of the disease and a higher probability of complications. Objective: The present study examined the spatial association between the multidimensional poverty index and the proportion of patients with...

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Autores:
Pérez Bedoya, Juan Pablo
Mejía Muñoz, Alejandro
Ruiz Galvis, Lina Marcela
Herrera Franco, Elizabeth
Taparcua Cardona, Flor Enid
Mendoza Cardozo, Oscar Ignacio
Pérez Aguirre, Carlos Andrés
Barengo, Noël Christopher
Díaz Valencia, Paula Andrea
Tipo de recurso:
http://purl.org/coar/resource_type/c_5794
Fecha de publicación:
2023
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/38062
Acceso en línea:
https://hdl.handle.net/10495/38062
Palabra clave:
Hemoglobinas
Hemoglobins
Hemoglobina Glucada
Glycated Hemoglobin
Colombia
Pobreza
Poverty
Diabetes
https://id.nlm.nih.gov/mesh/D006454
https://id.nlm.nih.gov/mesh/D006442
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D011203
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
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repository_id_str
dc.title.spa.fl_str_mv Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
title Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
spellingShingle Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
Hemoglobinas
Hemoglobins
Hemoglobina Glucada
Glycated Hemoglobin
Colombia
Pobreza
Poverty
Diabetes
https://id.nlm.nih.gov/mesh/D006454
https://id.nlm.nih.gov/mesh/D006442
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D011203
title_short Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
title_full Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
title_fullStr Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
title_full_unstemmed Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
title_sort Spatial association between the multidimensional poverty index and glycated hemoglobin control in patients with diabetes in Colombia: A population-based secondary data analysis
dc.creator.fl_str_mv Pérez Bedoya, Juan Pablo
Mejía Muñoz, Alejandro
Ruiz Galvis, Lina Marcela
Herrera Franco, Elizabeth
Taparcua Cardona, Flor Enid
Mendoza Cardozo, Oscar Ignacio
Pérez Aguirre, Carlos Andrés
Barengo, Noël Christopher
Díaz Valencia, Paula Andrea
dc.contributor.author.none.fl_str_mv Pérez Bedoya, Juan Pablo
Mejía Muñoz, Alejandro
Ruiz Galvis, Lina Marcela
Herrera Franco, Elizabeth
Taparcua Cardona, Flor Enid
Mendoza Cardozo, Oscar Ignacio
Pérez Aguirre, Carlos Andrés
Barengo, Noël Christopher
Díaz Valencia, Paula Andrea
dc.contributor.conferencename.spa.fl_str_mv Annual Conference of the International Society for Pediatric and Adolescent Diabetes (49 : Del 18 al 21 de octubre de 2023 : Róterdam, Países Bajos)
dc.contributor.researchgroup.spa.fl_str_mv Biología y Control de Enfermedades Infecciosas
Epidemiología
dc.subject.decs.none.fl_str_mv Hemoglobinas
Hemoglobins
Hemoglobina Glucada
Glycated Hemoglobin
Colombia
Pobreza
Poverty
topic Hemoglobinas
Hemoglobins
Hemoglobina Glucada
Glycated Hemoglobin
Colombia
Pobreza
Poverty
Diabetes
https://id.nlm.nih.gov/mesh/D006454
https://id.nlm.nih.gov/mesh/D006442
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D011203
dc.subject.lemb.none.fl_str_mv Diabetes
dc.subject.meshuri.none.fl_str_mv https://id.nlm.nih.gov/mesh/D006454
https://id.nlm.nih.gov/mesh/D006442
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D011203
description ABSTRACT: Introduction: Socioeconomic inequalities in diabetes have been associated with less control of the disease and a higher probability of complications. Objective: The present study examined the spatial association between the multidimensional poverty index and the proportion of patients with diabetes presenting a glycated hemoglobin (HbA1c) less than 7% in Colombia. Methods: Ecological study using secondary data aggregated at the departmental level. The multidimensional poverty index was collected from the Colombian National Administrative Department of Statistics for the year 2021. The proportion of patients with diabetes who had a HbA1c less than 7% were derived from the High-Cost Account during the year 2021. We calculated Moran's I statistics and local indicators of univariate (LISA) and bivariate (BiLISA) spatial association along with significance map, cluster map and Moran's scatter plot. Queen's first-order contiguity matrix was used to produce spatial weights. Results were based on 99999 permutations with a pseudo-significance level of 0.05. Results: The multidimensional poverty index (Global Moran's I: 0.417, p <0.001) and the proportion of patients with diabetes who had a HbA1c less than 7% (Global Moran's I: 0.451, p <0.001) showed positive and statistically significant values with a cluster pattern. In the case of the bivariate local Moran's I, a value of -0.385 (p < 0.001) was obtained between both variables. The BiLISA measures showed the conformation of clusters by departments, indicating the clustering of a low poverty index and a high proportion of patients with HbA1c less than 7% in the northeastern and central region of the country. On the contrary, a grouping with a high poverty index and a low proportion of patients with HbA1c less than 7% was found in the eastern and southeastern regions of the country. Conclusions: Public health actions aimed at the metabolic control of patients with diabetes should be implemented in regions with greater socioeconomic inequalities.
publishDate 2023
dc.date.issued.none.fl_str_mv 2023-10-20
dc.date.accessioned.none.fl_str_mv 2024-02-06T19:42:12Z
dc.date.available.none.fl_str_mv 2024-02-06T19:42:12Z
dc.type.spa.fl_str_mv Documento de conferencia
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dc.relation.conferencedate.spa.fl_str_mv 2023-10-18/2023-10-21
dc.relation.conferenceplace.spa.fl_str_mv Róterdam, Países Bajos
dc.relation.ispartofjournal.spa.fl_str_mv 49th Annual Conference of the International Society for Pediatric and Adolescent Diabetes
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spelling Pérez Bedoya, Juan PabloMejía Muñoz, AlejandroRuiz Galvis, Lina MarcelaHerrera Franco, ElizabethTaparcua Cardona, Flor EnidMendoza Cardozo, Oscar IgnacioPérez Aguirre, Carlos AndrésBarengo, Noël ChristopherDíaz Valencia, Paula AndreaAnnual Conference of the International Society for Pediatric and Adolescent Diabetes (49 : Del 18 al 21 de octubre de 2023 : Róterdam, Países Bajos)Biología y Control de Enfermedades InfecciosasEpidemiología2024-02-06T19:42:12Z2024-02-06T19:42:12Z2023-10-20https://hdl.handle.net/10495/38062ABSTRACT: Introduction: Socioeconomic inequalities in diabetes have been associated with less control of the disease and a higher probability of complications. Objective: The present study examined the spatial association between the multidimensional poverty index and the proportion of patients with diabetes presenting a glycated hemoglobin (HbA1c) less than 7% in Colombia. Methods: Ecological study using secondary data aggregated at the departmental level. The multidimensional poverty index was collected from the Colombian National Administrative Department of Statistics for the year 2021. The proportion of patients with diabetes who had a HbA1c less than 7% were derived from the High-Cost Account during the year 2021. We calculated Moran's I statistics and local indicators of univariate (LISA) and bivariate (BiLISA) spatial association along with significance map, cluster map and Moran's scatter plot. Queen's first-order contiguity matrix was used to produce spatial weights. Results were based on 99999 permutations with a pseudo-significance level of 0.05. Results: The multidimensional poverty index (Global Moran's I: 0.417, p <0.001) and the proportion of patients with diabetes who had a HbA1c less than 7% (Global Moran's I: 0.451, p <0.001) showed positive and statistically significant values with a cluster pattern. In the case of the bivariate local Moran's I, a value of -0.385 (p < 0.001) was obtained between both variables. The BiLISA measures showed the conformation of clusters by departments, indicating the clustering of a low poverty index and a high proportion of patients with HbA1c less than 7% in the northeastern and central region of the country. On the contrary, a grouping with a high poverty index and a low proportion of patients with HbA1c less than 7% was found in the eastern and southeastern regions of the country. Conclusions: Public health actions aimed at the metabolic control of patients with diabetes should be implemented in regions with greater socioeconomic inequalities.Colombia. 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