Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018
Since obesity is recognized as a problem of poverty, the sociodemographic dimension becomes important in obesity research. In Argentina, evidence suggests that there are different nutritional profiles heterogeneously distributed across the territory; however, the socio-ter...
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| Formato: | Artículo revista |
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Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
2021
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/med/article/view/36683 |
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I10-R327-article-36683 |
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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 |
obesity socioeconomic factors Argentina obesidad factores socioeconómicos Argentina . |
| spellingShingle |
obesity socioeconomic factors Argentina obesidad factores socioeconómicos Argentina . Wirtz Baker, JM Pou, SA Aballay, LR Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018 |
| topic_facet |
obesity socioeconomic factors Argentina obesidad factores socioeconómicos Argentina . |
| author |
Wirtz Baker, JM Pou, SA Aballay, LR |
| author_facet |
Wirtz Baker, JM Pou, SA Aballay, LR |
| author_sort |
Wirtz Baker, JM |
| title |
Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018 |
| title_short |
Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018 |
| title_full |
Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018 |
| title_fullStr |
Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018 |
| title_full_unstemmed |
Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018 |
| title_sort |
prevalence of obesity according to sociodemographic strata in argentina: trends and geographic differentials between 2005-2018 |
| description |
Since obesity is recognized as a problem of poverty, the sociodemographic dimension becomes important in obesity research. In Argentina, evidence suggests that there are different nutritional profiles heterogeneously distributed across the territory; however, the socio-territorial dynamics of the obesity burden in specific population groups has been understudied. Thus, it was proposed to analyze the geographical distribution and dynamic of obesity prevalence in Argentina by selected sociodemographic strata, 2005-2018.
This multigroup ecological study used data from the National Survey of Risk Factors for Chronic Diseases (2005, n=41,392; 2009, n=34,934; 2013, n=32,365; 2018, n=29,224) to estimate the prevalence (%) of obesity (BMI>=30) in adults, specific by population group, at the provincial level (n= 24) and by year. The strata were defined according to sociodemographic factors: income level (by quintiles), education and poverty (based onunsatisfied basic needs-UBN). Maps of obesity prevalence were constructed in temporal sequence and for each stratum.
Overall, all the population groups showed increasing trends in the obesity prevalence from 2005 to 2018, with geographical disparities. In the population with UBN, obesity prevalence was lower than 25% in all provinces in 2005, while 4 and 12 provinces exceeded 25% in 2013 and 2018, respectively. According to income level, the increasing trend was more noticeable in the population with low to medium income levels (quintiles 1-4). In the population with a medium income level, there was a marked increase in more than half of the provinces, which reported obesity prevalences above 25% in 2018. The prevalence of obesity showed different geographic patterns between the populations with complete university studies and without complete primary studies. This group had a higher prevalence for all the years studied.
In conclusion, an overall increasing trend was observed in the obesity prevalence in Argentina from 2005. Our results suggest that the obesity burden in this country follows a social gradient with noticeable geographic disparities. |
| publisher |
Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología |
| publishDate |
2021 |
| url |
https://revistas.unc.edu.ar/index.php/med/article/view/36683 |
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2024-09-03T21:03:21Z |
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I10-R327-article-366832024-04-15T16:19:09Z Prevalence of obesity according to sociodemographic strata in Argentina: trends and geographic differentials between 2005-2018 Prevalencia de obesidad según estratos sociodemográficos en Argentina: tendencias y diferenciales geográficos entre 2005-2018 . Wirtz Baker, JM Pou, SA Aballay, LR obesity socioeconomic factors Argentina obesidad factores socioeconómicos Argentina . Since obesity is recognized as a problem of poverty, the sociodemographic dimension becomes important in obesity research. In Argentina, evidence suggests that there are different nutritional profiles heterogeneously distributed across the territory; however, the socio-territorial dynamics of the obesity burden in specific population groups has been understudied. Thus, it was proposed to analyze the geographical distribution and dynamic of obesity prevalence in Argentina by selected sociodemographic strata, 2005-2018. This multigroup ecological study used data from the National Survey of Risk Factors for Chronic Diseases (2005, n=41,392; 2009, n=34,934; 2013, n=32,365; 2018, n=29,224) to estimate the prevalence (%) of obesity (BMI>=30) in adults, specific by population group, at the provincial level (n= 24) and by year. The strata were defined according to sociodemographic factors: income level (by quintiles), education and poverty (based onunsatisfied basic needs-UBN). Maps of obesity prevalence were constructed in temporal sequence and for each stratum. Overall, all the population groups showed increasing trends in the obesity prevalence from 2005 to 2018, with geographical disparities. In the population with UBN, obesity prevalence was lower than 25% in all provinces in 2005, while 4 and 12 provinces exceeded 25% in 2013 and 2018, respectively. According to income level, the increasing trend was more noticeable in the population with low to medium income levels (quintiles 1-4). In the population with a medium income level, there was a marked increase in more than half of the provinces, which reported obesity prevalences above 25% in 2018. The prevalence of obesity showed different geographic patterns between the populations with complete university studies and without complete primary studies. This group had a higher prevalence for all the years studied. In conclusion, an overall increasing trend was observed in the obesity prevalence in Argentina from 2005. Our results suggest that the obesity burden in this country follows a social gradient with noticeable geographic disparities. La dimensión sociodemográfica cobra importancia en estudios sobre obesidad, desde el reconocimiento de esta patología como un problema de la pobreza. En Argentina, existen antecedentes que reportan diferencias geográficas en los perfiles nutricionales, distribuidos de manera no homogénea en su territorio; sin embargo, la dinámica socio-territorial de la carga de obesidad en grupos poblacionales específicos ha sido escasamente estudiada. Así, se planteó analizar la distribución geográfica y dinámica de la prevalencia de obesidad en Argentina, según estratos sociodemográficos seleccionados, 2005-2018. Este estudio ecológico multigrupal, utilizó datos de la Encuesta Nacional de Factores de Riesgo de Enfermedades Crónicas (2005, n=41.392; 2009, n=34.934; 2013, n=32.365; 2018, n=29.224) para estimar la prevalencia (%) de obesidad (IMC>=30) en adultos/as, específica por grupo poblacional, a escala provincial (n=24) y por año. Los estratos se definieron según factores sociodemográficos: nivel de ingresos (según quintiles), educación y de pobreza (según necesidades básicas insatisfechas-NBI). Se construyeron mapas en secuencia temporal de la distribución geográfica de la prevalencia de obesidad por cada estrato. En general, todos los grupos poblacionales considerados mostraron tendencias crecientes en la prevalencia de obesidad del 2005 al 2018, con disparidades geográficas. En 2005 ninguna provincia en la población con NBI presentó prevalencias de obesidad superiores al 25%, mientras que 4 y 12 provincias superaron esta cifra en 2013 y 2018, respectivamente. Según el nivel de ingresos, la tendencia creciente fue más notoria en la población con niveles de ingresos bajo a medio (quintiles 1-4). En la población con un nivel de ingresos medio, hubo un brusco incremento en más de la mitad de provincias, registrando prevalencias de obesidad superiores al 25% en 2018. La prevalencia de obesidad mostró un patrón geográfico bien diferenciado entre quienes completaron estudios universitarios y aquella población con estudios primarios incompletos, quienes presentaron mayor prevalencia para todos los años estudiados. Concluyendo, desde el 2005, se observó una tendencia general creciente en la prevalencia de obesidad en Argentina. Nuestros resultados sugieren que en este país la carga de obesidad sigue un gradiente social con notables disparidades geográficas. . Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología 2021-10-05 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion texto texto . https://revistas.unc.edu.ar/index.php/med/article/view/36683 Revista de la Facultad de Ciencias Médicas de Córdoba.; Vol. 78 No. Suplemento (2021): Suplemento JIC XXII Revista de la Facultad de Ciencias Médicas de Córdoba; Vol. 78 Núm. Suplemento (2021): Suplemento JIC XXII Revista da Faculdade de Ciências Médicas de Córdoba; v. 78 n. Suplemento (2021): Suplemento JIC XXII 1853-0605 0014-6722 http://creativecommons.org/licenses/by-nc/4.0 |