Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba
The ecological approach by the built environment (BE) analisis is an important tool for a comprehensive approach to cardiometabolic diseases (CMD), with the use of space technologies as an innovative way. The aim was to spatialize the presence of CMD and its risk factors in relation to BE,...
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| Formato: | Artículo revista |
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Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
2022
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/med/article/view/39027 |
| Aporte de: |
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I10-R327-article-39027 |
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ojs |
| institution |
Universidad Nacional de Córdoba |
| institution_str |
I-10 |
| repository_str |
R-327 |
| container_title_str |
Revista de la Facultad de Ciencias Médicas de Córdoba |
| format |
Artículo revista |
| topic |
metabolic syndrome type 2 diabetes mellitus built environment spatial analysis. síndrome metabólico diabetes mellitus Tipo 2 entorno construido análisis espacial |
| spellingShingle |
metabolic syndrome type 2 diabetes mellitus built environment spatial analysis. síndrome metabólico diabetes mellitus Tipo 2 entorno construido análisis espacial Franzois, MB Mileo, MS Campero, MN Scavuzzo, CM Oberto, MG Defagó , MD Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba |
| topic_facet |
metabolic syndrome type 2 diabetes mellitus built environment spatial analysis. síndrome metabólico diabetes mellitus Tipo 2 entorno construido análisis espacial |
| author |
Franzois, MB Mileo, MS Campero, MN Scavuzzo, CM Oberto, MG Defagó , MD |
| author_facet |
Franzois, MB Mileo, MS Campero, MN Scavuzzo, CM Oberto, MG Defagó , MD |
| author_sort |
Franzois, MB |
| title |
Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba |
| title_short |
Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba |
| title_full |
Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba |
| title_fullStr |
Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba |
| title_full_unstemmed |
Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba |
| title_sort |
geospatialization of cardiometabolic diseases and risk factors related to built environment in córdoba |
| description |
The ecological approach by the built environment (BE) analisis is an important tool for a comprehensive approach to cardiometabolic diseases (CMD), with the use of space technologies as an innovative way. The aim was to spatialize the presence of CMD and its risk factors in relation to BE, in patients of the Hospital Nacional de Clínicas (HNC), Córdoba city, period 2015-2020.
Observational, descriptive and cross-sectional study, including a non-probabilistic sample, (n=345), age over 35 years old, both sexes, and who attended the HNC Cardiology Service. Data related to CMD was collected through medical records, blood samples, anthropometric measurements, and validated questionnaires of physical activity and food intake. Through remote sensing, BE variables (products of vegetation, humidity and construction) were obtained based on a Landsat 8 satellite image. An exploratory analysis of the variables related to CMD and BE was carried out, comparing according to sex, location, and presence or not from CMD; calculating differences by Test-t. A purely spatial analysis (clusters) was performed to characterize the distribution of the presence of CMD and risk factors (Stata 15, Qgis, and SatScan).
55.32% of the sample showed obesity, 41.03% metabolic syndrome (MS) and 22.58% type 2 diabetes mellitus (DM2). Women had significantly higher serum values of total cholesterol, LDL and HDL than men (p=0.0001, p=0.01 and p<0.00001, respectively). Likewise, the daily intake of energy, proteins and lipids was significantly higher in men compared to women (p=0.009, p=0.004 and p=0.0005, respectively). 83.64% presented low/intermediate levels of physical activity. In BE households with vegetation cover, the absence of DM2 was greater (p=0.004). Towards the northwest of the city, a significant cluster (p=0.02) of DM2 cases was identified, coinciding with the MS cases.
The multidimensional study of the CMD with the inclusion of geomatic tools constitutes an innovative contribution in the public health field. |
| publisher |
Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología |
| publishDate |
2022 |
| url |
https://revistas.unc.edu.ar/index.php/med/article/view/39027 |
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I10-R327-article-390272024-04-15T16:14:45Z Geospatialization of cardiometabolic diseases and risk factors related to built environment in Córdoba Geoespacialización de las enfermedades cardiometabólicas y sus factores de riesgo considerando las particularidades del entorno construido en Córdoba Franzois, MB Mileo, MS Campero, MN Scavuzzo, CM Oberto, MG Defagó , MD metabolic syndrome type 2 diabetes mellitus built environment spatial analysis. síndrome metabólico diabetes mellitus Tipo 2 entorno construido análisis espacial The ecological approach by the built environment (BE) analisis is an important tool for a comprehensive approach to cardiometabolic diseases (CMD), with the use of space technologies as an innovative way. The aim was to spatialize the presence of CMD and its risk factors in relation to BE, in patients of the Hospital Nacional de Clínicas (HNC), Córdoba city, period 2015-2020. Observational, descriptive and cross-sectional study, including a non-probabilistic sample, (n=345), age over 35 years old, both sexes, and who attended the HNC Cardiology Service. Data related to CMD was collected through medical records, blood samples, anthropometric measurements, and validated questionnaires of physical activity and food intake. Through remote sensing, BE variables (products of vegetation, humidity and construction) were obtained based on a Landsat 8 satellite image. An exploratory analysis of the variables related to CMD and BE was carried out, comparing according to sex, location, and presence or not from CMD; calculating differences by Test-t. A purely spatial analysis (clusters) was performed to characterize the distribution of the presence of CMD and risk factors (Stata 15, Qgis, and SatScan). 55.32% of the sample showed obesity, 41.03% metabolic syndrome (MS) and 22.58% type 2 diabetes mellitus (DM2). Women had significantly higher serum values of total cholesterol, LDL and HDL than men (p=0.0001, p=0.01 and p<0.00001, respectively). Likewise, the daily intake of energy, proteins and lipids was significantly higher in men compared to women (p=0.009, p=0.004 and p=0.0005, respectively). 83.64% presented low/intermediate levels of physical activity. In BE households with vegetation cover, the absence of DM2 was greater (p=0.004). Towards the northwest of the city, a significant cluster (p=0.02) of DM2 cases was identified, coinciding with the MS cases. The multidimensional study of the CMD with the inclusion of geomatic tools constitutes an innovative contribution in the public health field. El enfoque ecológico analizando el entorno construido (EC) es una herramienta enriquecedora para el abordaje integral de las enfermedades cardiometabólicas (ECM), siendo las tecnologías espaciales un medio innovador para lograrlo. Se propuso espacializar la presencia de ECM y sus factores de riesgo en relación al EC, en pacientes del Hospital Nacional de Clínicas (HNC) en la ciudad de Córdoba, en el período 2015-2020. Estudio observacional, descriptivo y transversal. En base a un muestreo no probabilístico por conveniencia, participaron 345 personas mayores de 35 años, ambos sexos, que concurrieron al Servicio de Cardiología del HNC. Los datos relacionados a ECM se recolectaron mediante revisión de historias clínicas, muestras sanguíneas, mediciones antropométricas, cuestionarios validados de actividad física y frecuencia de consumo de alimentos. Mediante el sensado remoto se obtuvieron variables de EC (productos de vegetación, humedad y construcción) en base a una imagen satelital Landsat 8. Se realizó un análisis exploratorio de las variables relacionadas a las ECM y EC, comparando según sexo, localidad, y presencia o no de ECM; calculando diferencias mediante Test-t. Se realizó un análisis puramente espacial (clusters) para caracterizar la distribución de la presencia de ECM y sus factores de riesgo. Los análisis se realizaron con Stata 15, Qgis y SatScan. El 55,32% de la muestra presentó obesidad, el 41,03% síndrome metabólico (SM) y el 22,58% diabetes mellitus tipo 2 (DM2). En promedio, las mujeres presentaron valores séricos significativamente superiores de colesterol total, LDL y HDL que los hombres (p=0,0001, p=0,01 y p<0,00001, respectivamente). Asimismo, la ingesta diaria de energía, proteínas y lípidos fue significativamente mayor en hombres con respecto a las mujeres (p=0,009, p=0,004 y p=0,0005, respectivamente). El 83,64% presentó niveles bajo/intermedio de actividad física. En los hogares con EC que presentan cubierta vegetal fue mayor la ausencia de DM2 (p=0,004). Hacia el noroeste de la ciudad se identificó un cluster significativo (p=0,02) de casos de DM2, coincidiendo con los casos de SM. El estudio multidimensional de las ECM con la inclusión de las herramientas geomáticas, constituye un aporte innovador en el campo de la salud pública. Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología 2022-10-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion . https://revistas.unc.edu.ar/index.php/med/article/view/39027 Revista de la Facultad de Ciencias Médicas de Córdoba.; Vol. 79 No. Suplemento JIC XXIII (2022): Suplemento JIC XXIII Revista de la Facultad de Ciencias Médicas de Córdoba; Vol. 79 Núm. Suplemento JIC XXIII (2022): Suplemento JIC XXIII Revista da Faculdade de Ciências Médicas de Córdoba; v. 79 n. Suplemento JIC XXIII (2022): Suplemento JIC XXIII 1853-0605 0014-6722 Derechos de autor 2022 Universidad Nacional de Córdoba http://creativecommons.org/licenses/by-nc/4.0 |