Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis

ABSTRACT: Background: Scientific evidence on contextual predictors of diabetes related to different levels of geographic location in Colombia is scant. Therefore, the objective of the study was to analyze the municipal and departmental factors associated with the prevalence of diabetes in Colombia....

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Autores:
Pérez Bedoya, Juan Pablo
Gómez Zapata, Lissette
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:
2024
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/40641
Acceso en línea:
https://hdl.handle.net/10495/40641
Palabra clave:
Diabetes Mellitus
Demografía
Demography
Colombia
Prevalencia
Prevalence
Estudios Transversales
Cross-Sectional Studies
https://id.nlm.nih.gov/mesh/D003920
https://id.nlm.nih.gov/mesh/D003710
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D015995
https://id.nlm.nih.gov/mesh/D003430
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/2.5/co/
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repository_id_str
dc.title.spa.fl_str_mv Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
title Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
spellingShingle Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
Diabetes Mellitus
Demografía
Demography
Colombia
Prevalencia
Prevalence
Estudios Transversales
Cross-Sectional Studies
https://id.nlm.nih.gov/mesh/D003920
https://id.nlm.nih.gov/mesh/D003710
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D015995
https://id.nlm.nih.gov/mesh/D003430
title_short Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
title_full Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
title_fullStr Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
title_full_unstemmed Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
title_sort Municipal and Departmental Predictors Associated with the Prevalence of Diabetes Mellitus in Colombia: A Cross-Sectional Analysis
dc.creator.fl_str_mv Pérez Bedoya, Juan Pablo
Gómez Zapata, Lissette
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
Gómez Zapata, Lissette
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 Meeting of the European Diabetes Epidemiology Group (EDEG) (58 : del 20 al 23 de abril de 2024 : Pesaro, Italia)
dc.contributor.researchgroup.spa.fl_str_mv Epidemiología
dc.subject.decs.none.fl_str_mv Diabetes Mellitus
Demografía
Demography
Colombia
Prevalencia
Prevalence
Estudios Transversales
Cross-Sectional Studies
topic Diabetes Mellitus
Demografía
Demography
Colombia
Prevalencia
Prevalence
Estudios Transversales
Cross-Sectional Studies
https://id.nlm.nih.gov/mesh/D003920
https://id.nlm.nih.gov/mesh/D003710
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D015995
https://id.nlm.nih.gov/mesh/D003430
dc.subject.meshuri.none.fl_str_mv https://id.nlm.nih.gov/mesh/D003920
https://id.nlm.nih.gov/mesh/D003710
https://id.nlm.nih.gov/mesh/D003105
https://id.nlm.nih.gov/mesh/D015995
https://id.nlm.nih.gov/mesh/D003430
description ABSTRACT: Background: Scientific evidence on contextual predictors of diabetes related to different levels of geographic location in Colombia is scant. Therefore, the objective of the study was to analyze the municipal and departmental factors associated with the prevalence of diabetes in Colombia. Methods: Multilevel, analytical cross-sectional study using data from the 2015 National Nutritional Survey. The prevalence of diabetes and the percentage of patients with Body Mass Index (BMI) of 20-25 kg/m2 municipal was collected from the Colombian High-Cost Account for the year 2021. The proportion of individuals aged 60 years or older and the proportion of women for each municipality was estimated from the 2018 National Census population projections. We developed a two-level data structure, level 1 (municipalities) and level 2 (departments). We fit a multilevel linear regression model with random intercepts. We report the regression coefficients with 95% CI, the variances of both levels and the intraclass correlation coefficient (ICC). Results: The ICC of the null model was 25.52%. The level 1 predictors statistically associated with diabetes prevalence were the proportion of patients with adequate BMI control (beta coefficient -0.01 (-0.01; -0.00)), the proportion of individuals aged 60 years or older (beta coefficient 0.02 (0.002; 0.03)), and the proportion of women (beta coefficient 0.20 (0.17; 0.24)) with an ICC of 20.66%. After adjusting for level 1 predictors, the proportion of households with experience of self-consumption of food was the contextual predictor (level 2) associated with diabetes prevalence (beta coefficient -0.03 (-0.04; -0.01)) with an ICC of 16.67%. That is, the greater the proportion of households that produce food at home at the departmental level, the lower the prevalence of diabetes at the municipal level. Conclusions: Contextual aspects, such as demographic characteristics and food sovereignty, should be integrated into public health strategies for the prevention and control of diabetes.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-07-19T16:25:09Z
dc.date.available.none.fl_str_mv 2024-07-19T16:25:09Z
dc.date.issued.none.fl_str_mv 2024-04-21
dc.type.spa.fl_str_mv Documento de conferencia
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dc.language.iso.spa.fl_str_mv eng
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dc.relation.conferencedate.spa.fl_str_mv 2024-04-20/2024-04-23
dc.relation.conferenceplace.spa.fl_str_mv Pesaro, Italia
dc.relation.ispartofjournal.spa.fl_str_mv 58th Annual Meeting of the European Diabetes Epidemiology Group (EDEG)
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spelling Pérez Bedoya, Juan PabloGómez Zapata, LissetteRuiz Galvis, Lina MarcelaHerrera Franco, ElizabethTaparcua Cardona, Flor EnidMendoza Cardozo, Oscar IgnacioPérez Aguirre, Carlos AndrésBarengo, Noël ChristopherDíaz Valencia, Paula AndreaAnnual Meeting of the European Diabetes Epidemiology Group (EDEG) (58 : del 20 al 23 de abril de 2024 : Pesaro, Italia)Epidemiología2024-07-19T16:25:09Z2024-07-19T16:25:09Z2024-04-21https://hdl.handle.net/10495/40641ABSTRACT: Background: Scientific evidence on contextual predictors of diabetes related to different levels of geographic location in Colombia is scant. Therefore, the objective of the study was to analyze the municipal and departmental factors associated with the prevalence of diabetes in Colombia. Methods: Multilevel, analytical cross-sectional study using data from the 2015 National Nutritional Survey. The prevalence of diabetes and the percentage of patients with Body Mass Index (BMI) of 20-25 kg/m2 municipal was collected from the Colombian High-Cost Account for the year 2021. The proportion of individuals aged 60 years or older and the proportion of women for each municipality was estimated from the 2018 National Census population projections. We developed a two-level data structure, level 1 (municipalities) and level 2 (departments). We fit a multilevel linear regression model with random intercepts. We report the regression coefficients with 95% CI, the variances of both levels and the intraclass correlation coefficient (ICC). Results: The ICC of the null model was 25.52%. The level 1 predictors statistically associated with diabetes prevalence were the proportion of patients with adequate BMI control (beta coefficient -0.01 (-0.01; -0.00)), the proportion of individuals aged 60 years or older (beta coefficient 0.02 (0.002; 0.03)), and the proportion of women (beta coefficient 0.20 (0.17; 0.24)) with an ICC of 20.66%. After adjusting for level 1 predictors, the proportion of households with experience of self-consumption of food was the contextual predictor (level 2) associated with diabetes prevalence (beta coefficient -0.03 (-0.04; -0.01)) with an ICC of 16.67%. That is, the greater the proportion of households that produce food at home at the departmental level, the lower the prevalence of diabetes at the municipal level. Conclusions: Contextual aspects, such as demographic characteristics and food sovereignty, should be integrated into public health strategies for the prevention and control of diabetes.Colombia. 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