Revista Biomédica Revisada Por Pares
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Palabras clave: childhood obesity, overweight, environment, poverty
Objective
To analyze the association between the prevalence of overweight and obesity in children younger than six years of age cared for in the primary healthcare setting with socioeconomic level and environment of Chilean districts.
Methods
We conducted an ecological study to analyze the correlation between the prevalence of overweight and obesity and indicators of socioeconomic status (poverty by income and multidimensional poverty) and district environment and surroundings (green areas and crime reporting rate for crimes of significant social connotation). Furthermore, we performed four simple linear regression models with the correlated variables.
Results
At the district level, we found that the percentage of people living in poverty as defined by income, and the rate for reporting of crimes, are significantly correlated with the prevalence of overweight and obesity. The crime reporting rate correlated negatively with prevalence, and no correlation was found with communal green areas. Those districts with greater income poverty and a lower crime reporting rate have a higher prevalence of overweight and obesity in children under six years of age.
Conclusions
The characteristics of the district environment in which children are raised could augment the risk for overweight and obesity, mainly due to socioeconomic level. The crime reporting rate, on the contrary, shows an inverse relationship with these nutritional conditions.
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Objective
To analyze the association between the prevalence of overweight and obesity in children younger than six years of age cared for in the primary healthcare setting with socioeconomic level and environment of Chilean districts.
Methods
We conducted an ecological study to analyze the correlation between the prevalence of overweight and obesity and indicators of socioeconomic status (poverty by income and multidimensional poverty) and district environment and surroundings (green areas and crime reporting rate for crimes of significant social connotation). Furthermore, we performed four simple linear regression models with the correlated variables.
Results
At the district level, we found that the percentage of people living in poverty as defined by income, and the rate for reporting of crimes, are significantly correlated with the prevalence of overweight and obesity. The crime reporting rate correlated negatively with prevalence, and no correlation was found with communal green areas. Those districts with greater income poverty and a lower crime reporting rate have a higher prevalence of overweight and obesity in children under six years of age.
Conclusions
The characteristics of the district environment in which children are raised could augment the risk for overweight and obesity, mainly due to socioeconomic level. The crime reporting rate, on the contrary, shows an inverse relationship with these nutritional conditions.
Autores:
Tamara Doberti Herrera[1], Lorena Rodríguez Osiac[1]
Citación: Doberti Herrera T, Rodríguez Osiac L. The relation between overweight and obesity in preschool children with socioeconomic level and environment of Chilean districts: An ecological study. Medwave 2020;20(3):e7883 doi: 10.5867/medwave.2020.03.7883
Fecha de envío: 7/10/2019
Fecha de aceptación: 6/3/2020
Fecha de publicación: 27/4/2020
Origen: No solicitado
Tipo de revisión: Con revisión por pares externa, por cuatro árbitros a doble ciego
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World Health Organization. Obesity: Preventing and managing the global epidemic. 2000. Sassi F. Introduction: Obesity and the economics of prevention. En: Obesity and the Economics of Prevention. OECD Publishing; 2010. p. 23–47. Igel U, Grande G. Urban living conditions: The relation between neighborhood characteristics and obesity in children and adolescents. En: Metabolic Syndrome and Obesity in Childhood and Adolescence. Pediatr Adolesc Med. 2015;19(1):126–36. | CrossRef |Ministerio de Desarrollo Social de Chile. Metodología de medición de pobreza multidimensional con entorno y redes. 2016. [On line]. | Link |Conrad D, Capewell S. Associations between deprivation and rates of childhood overweight and obesity in England, 2007-2010: an ecological study. BMJ Open. 2012 Apr 13;2(2):e000463. | CrossRef | PubMed |Gregori D, Foltran F, Ghidina M, Zobec F, Berchialla P. Familial environment in high- and middle-low-income municipalities: a survey in Italy to understand the distribution of potentially obesogenic factors. Public Health. 2012 Sep;126(9):731-9. | CrossRef | PubMed |Ministerio de Desarrollo Social de Chile. Nueva metodología de medición de la pobreza por ingresos y multidimensional. 2015. [On line]. | Link |Ministerio de desarrollo social de Chile. Archivo histórico de Encuesta CASEN. 2016. [On line]. | Link |Azar A, Franetovic G, Martínez M, Santos H. Determinantes individuales, sociales y ambientales del sobrepeso y la obesidad adolescente en Chile. Rev Med Chil. 2015;143:598–605. | CrossRef |Olivares C S, Bustos Z N, Lera M L, Zelada ME. Estado nutricional, consumo de alimentos y actividad física en escolares mujeres de diferente nivel socioeconómico de Santiago de Chile. Rev Med Chil. 2007;135(1):71–8. | CrossRef |Hernández MI, Unanue N, Gaete X, Cassorla F, Codner E. Edad de la menarquia y su relación con el nivel socioeconómico e índice de masa corporal. Rev Med Chil. 2007;135(11):1429–36. | CrossRef |Miranda ML, Edwards SE, Anthopolos R, Dolinsky DH, Kemper AR. The built environment and childhood obesity in Durham, North Carolina. Clin Pediatr (Phila). 2012 Aug;51(8):750-8. | CrossRef | PubMed |Smit W, de Lannoy A, Dover RV, Lambert EV, Levitt N, Watson V. Making unhealthy places: The built environment and non-communicable diseases in Khayelitsha, Cape Town. Health Place. 2015 Jun 29;35:11-18. | CrossRef | PubMed |Black JL, Macinko J. Neighborhoods and obesity. Nutr Rev. 2008 Jan;66(1):2-20. | CrossRef | PubMed |Ministerio de Salud. Norma para la evaluación nutricional de niños, niñas y adolescentes de 5 años a 19 años de edad. Santiago, Chile: Subsecretaria de Salud Pública, Gobierno de Chile; 2016. [On line]. | Link |Departamento de Estadisticas e Información en Salud (DEIS). Resúmenes estadísticos mensuales DEIS. 2018. [On line]. | Link |Ministerio de Desarrollo Social de Chile. Metodología de estimación de pobreza a nivel comunal, con datos de Casen 2015. 2017. [On line]. | Link |Subsecretaria de Desarrollo Regional y Administrativo. Sistema Nacional de Información Municipal. 2018. [On line]. | Link |Quinteros D. Delitos del espacio público y el problema de la “cifra negra” una aproximación a la no-denuncia en Chile. Polít Crim. 2014;9(18):691–712. | CrossRef | Benavente J, Cortés E. Delitos y sus denuncias: La cifra negra de la criminalidad en Chile y sus determinantes. Santiago, Chile: Universidad de Chile; 2006. [On line]. | Link |
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