Spatial analysis of childhood obesity and overweight in Peru, 2014 [Análisis espacial del sobrepeso y la obesidad infantil en el Perú, 2014]
Objectives. To estimate regional prevalence and identify the spatial patterns of the degree of overweight and obesity by districts in under five years children in Peru during 2014. Materials and methods. Analysis of the information reported by the Information System Nutritional Status (SIEN) of the...
Autor Principal: | Hernández-Vásquez, A. |
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Otros Autores: | Bendezú-Quispe, G., Díaz-Seijas, D., Santero, M., Minckas, N., Azañedo, D., Antiporta, D.A. |
Formato: | info:eu-repo/semantics/article |
Idioma: | spa |
Publicado: |
Universidad Católica los Ángeles de Chimbote
2019
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Materias: | |
Acceso en línea: |
Hernandez-Vasquez A, Bendezu-Quispe G, Diaz-Seijas D, Santero M, Minckas N, Azanedo D, et al. [Spatial analysis of childhood obesity and overweight in Peru, 2014]. Revista peruana de medicina experimental y salud publica. 2016;33(3):489-97. |
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Sumario: |
Objectives. To estimate regional prevalence and identify the spatial patterns of the degree of overweight and obesity by districts in under five years children in Peru during 2014. Materials and methods. Analysis of the information reported by the Information System Nutritional Status (SIEN) of the number of cases of overweight and obesity in children under five years recorded during 2014. Regional prevalence for overweight and obesity, and their respective confidence intervals to 95% were calculated. Moran index was used to determine patterns of grouping districts with high prevalence of overweight and/or obesity. Results. Data from 1834 districts and 2,318,980 children under five years were analyzed. 158,738 cases (6.84%; CI 95%: 6.81 to 6.87) were overweight, while 56,125 (2.42%; CI 95%: 2.40 to 2.44) obesity. The highest prevalence of overweight were identified in the regions of Tacna (13.9%), Moquegua (11.8%), Callao (10.4%), Lima (10.2%) and Ica (9.3%), and in the same regions for obesity with 5.3%; 4.3%; 4.0%; 4.0% and 3.8% respectively. The spatial analysis found grouping districts of high prevalence in 10% of all districts for both overweight and obesity, identifying 199 districts for overweight (126 urban and 73 rural), and 184 for obesity (136 urban and 48 rural). Conclusions. The highest prevalence of overweight and obesity were identified in the Peruvian coast regions. Moreover, these regions are predominantly exhibited a spatial clustering of districts with high prevalence of overweight and obesity. © 2016, Instituto Nacional de Salud. All rights reserved. |
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