dc.contributor.author | Scruzzi, Graciela Fabiana | |
dc.contributor.author | Tumas, Natalia | |
dc.contributor.author | Pou, Sonia Alejandra | |
dc.date.accessioned | 2021-08-06T20:46:36Z | |
dc.date.available | 2021-08-06T20:46:36Z | |
dc.date.issued | 2021-07 | |
dc.identifier.issn | 1678-4464 | |
dc.identifier.uri | http://hdl.handle.net/11086/19355 | |
dc.identifier.uri | http://cadernos.ensp.fiocruz.br/csp/artigo/1450/perfis-de-transicao-epidemiologica-nutricional-e-carga-de-morbimortalidade-por-covid-19-na-argentina-um-estudo-ecologico | |
dc.description.abstract | El objetivo de este trabajo fue identificar perfiles epidemiológico-nutricionales en Argentina, y comparar su carga de morbi-mortalidad por COVID-19. Se condujo un estudio ecológico multigrupal (24 unidades geográficas de Argentina). Se estimó el porcentaje de cambio 2005-2018 de indicadores de transición epidemiológica-nutricional, y sociodemográficos por unidad geográfica. Se condujo un análisis de componentes principales y análisis de clúster jerárquico para identificar agrupamientos geográficos que definan perfiles de transición epidemiológica-nutricional. Por grupo, se calcularon medidas resumen de incidencia acumulada (IA), mortalidad y tasa de letalidad por COVID-19 (semana epidemiológica 50), estableciendo comparaciones mediante prueba t de Student. Se identificaron tres perfiles denominados: (1) reemergencia de enfermedades infecciosas, (2) persistencia de enfermedades cardiovasculares con mejoras sociosanitarias y en estilos de vida, y (3) consolidación de la tríada obesidad-sedentarismo-enfermedades cardiometabólicas. La IA y mortalidad por COVID-19 promedio fue mayor en provincias con perfil 1, en comparación con el perfil 2 (IA: p = 0,0159; mortalidad: p = 0,0187) y el perfil 3 (IA: p = 0,0205). La letalidad resultó mayor en el perfil 3, que aglomera provincias con situación socioeconómica más desfavorable, estimándose diferencias significativas respecto al perfil 2 (p = 0,0307). En conclusión, existen distintos perfiles epidemiológico-nutricionales en Argentina, que tienden a diferenciarse en su situación epidemiológica de COVID-19. Las estrategias contra COVID-19 deberían considerar las características epidemiológico-nutricionales y sociodemográficas de base. | es |
dc.description.abstract | The study aimed to identify epidemiological nutritional profiles in Argentina and to compare the burden of morbimortality from COVID-19. A multigroup ecological study was conducted with 24 geographic units in Argentina. We estimated the percent change from 2005 to 2018 in indicators of the epidemiological-nutritional transition and sociodemographic indicators according to geographic unit. We performed principal components analysis and hierarchical cluster analysis to identify geographic groupings to define profiles in the epidemiological-nutritional transition. By group, we calculated summary measures of COVID-19 cumulative incidence (CI), mortality, and case fatality (epidemiological week 50), establishing comparisons via Student’s t test. Three profiles were identified: (1) reemergence of infectious diseases, (2) persistence of cardiovascular diseases despite social, health, and lifestyle improvements, and (3) consolidation of the triad obesity-sedentarism cardiometabolic diseases. Mean COVID-19 cumulative incidence and mortality were higher in provinces with profile 1 compared to profile 2 (CI: p = 0.0159; mortality: p = 0.0187) and profile 3 (CI: p = 0.0205). Case-fatality was higher in profile 3, which includes provinces with more unfavorable socioeconomic conditions, showing significant differences from profile 2 (p=0.0307). In conclusion, there are distinct epidemiological nutritional profiles in Argentina which tend to differ in terms of their COVID-19 epidemiological situation. Strategies to fight COVID-19 should consider the underlying epidemiological, nutritional, and sociodemographic characteristics. | en |
dc.description.abstract | The study aimed to identify epidemiological nutritional profiles in Argentina and to compare the burden of morbimortality from COVID-19. A multigroup ecological study was conducted with 24 geographic units in Argentina. We estimated the percent change from 2005 to 2018 in indicators of the epidemiological-nutritional transition and sociodemographic indicators according to geographic unit. We performed principal components analysis and hierarchical cluster analysis to identify geographic groupings to define profiles in the epidemiological-nutritional transition. By group, we calculated summary measures of COVID-19 cumulative incidence (CI), mortality, and case fatality (epidemiological week 50), establishing comparisons via Student’s t test. Three profiles were identified: (1) reemergence of infectious diseases, (2) persistence of cardiovascular diseases despite social, health, and lifestyle improvements, and (3) consolidation of the triad obesity-sedentarism cardiometabolic diseases. Mean COVID-19 cumulative incidence and mortality were higher in provinces with profile 1 compared to profile 2 (CI: p = 0.0159; mortality: p = 0.0187) and profile 3 (CI: p = 0.0205). Case-fatality was higher in profile 3, which includes provinces with more unfavorable socioeconomic conditions, showing significant differences from profile 2 (p=0.0307). In conclusion, there are distinct epidemiological nutritional profiles in Argentina which tend to differ in terms of their COVID-19 epidemiological situation. Strategies to fight COVID-19 should consider the underlying epidemiological, nutritional, and sociodemographic characteristics. | |
dc.language.iso | spa | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Covid 19 | es |
dc.subject | SARS-CoV-2 | es |
dc.subject | Infecciones por Coronavirus | es |
dc.subject | Transición Nutricional | es |
dc.subject | Dinámica Poblacional | es |
dc.subject | Epidemiología Social | es |
dc.subject | Infecções por Coronavírus | es |
dc.subject | Transição Nutricional | es |
dc.subject | Dinâmica Populacional | es |
dc.subject | Epidemiologia Social | es |
dc.subject | Infections | en |
dc.subject | Nutritional Transition | en |
dc.subject | Population Dynamics | en |
dc.subject | Social Epidemiology | en |
dc.title | Perfiles de transición epidemiológica-nutricional y carga de morbi-mortalidad por COVID-19 en Argentina: un estudio ecológico | es |
dc.title.alternative | Profiles of epidemiological-nutritional transition and burden of morbimortality from COVID-19 in Argentina: an ecological study | es |
dc.title.alternative | Perfis de transição epidemiológica-nutricional e carga de morbimortalidade por COVID-19 na Argentina: um estudo ecológico | es |
dc.type | article | es |
dc.description.version | publishedVersion | es |
dc.description.fil | Fil: Scruzzi, Graciela Fabiana. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Escuela de Nutrición; Argentina. | es |
dc.description.fil | Fil: Scruzzi, Graciela Fabiana. Universidad Católica de Córdoba; Argentina. | es |
dc.description.fil | Fil: Tumas, Natalia. Universidad Nacional de Córdoba. Facultad de Ciencias Sociales; Argentina. | es |
dc.description.fil | Fil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina. | es |
dc.description.fil | Fil: Tumas, Natalia. Universidad Católica de Córdoba; Argentina. | es |
dc.description.fil | Fil: Pou, Sonia Alejandra. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas; Argentina. | es |
dc.description.fil | Fil: Pou, Sonia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias de la Salud; Argentina. | es |
dc.journal.city | Rio de Janeiro | es |
dc.journal.country | Brasil | es |
dc.journal.editorial | Ministério da Saúde Governo Federal. Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. | es |
dc.journal.number | 7 | es |
dc.journal.pagination | 1-14 | es |
dc.journal.title | Cadernos Saúde Pública | es |
dc.journal.volume | 37 | es |