Geographical representation of malnutrition in children and adolescents from Medellin, Colombia

Authors

  • Jennifer Bernal Facultad de Ciencias de la Nutricion y los Alimentos, Universidad CES. Medellin, Colombia.
  • Alejandra Agudelo Martínez Facultad de Ciencias de la Nutricion y los Alimentos, Universidad CES. Medellin, Colombia.
  • Piedad Roldan Jaramillo Facultad de Ciencias de la Nutricion y los Alimentos, Universidad CES. Medellin, Colombia.

DOI:

https://doi.org/10.14306/renhyd.24.2.945

Keywords:

Malnutrition, Overnutrition, Obesity, Nutritional Status, Child, Adolescent, Colombia.

Abstract

Introduction: Describe malnutrition due to deficiency and excess in children and adolescents aged 0 to 17 years, based on geographical spatial representation in Medellin, Colombia.
Material and methods: Cross-sectional population study and multistage random sample design (n = 6075), representative of the children living in the 16 urban communities and 5 rural areas of Medellin. Demographic, social, educational, health, nutrition and physical activity variables were included. Weight and height were the basis to construct indicators of Weight-for-height (WH), Height-for-age (HA), Weight-for-age (WA) and Body Mass Index-for-age (BMI-for-age) in <5 years and HA and BMI-for-age in >5 years-old. With Anthro and Anthro Plus, Z scores of anthropometric measures were obtained; descriptive analyzes were performed with SPSSv21, and the geographical representations of malnutrition were conducted with Argis 10.0. The CES University ethics committee approved the study.
Results: In children <5 years (n=1598) the prevalence of acute malnutrition (low-WH) is 0.9%; short stature or stunting (low-HA) 6.4%; global malnutrition (low-WA) 1.3%; risk of overweight 20.8%; overweight 5.2% and obesity (BMI-age) 0.9%. One out of 4 children (25%) do physical activity (11 min/day). In the 5-17 years children and adolescents (n=4477), 3.9% had stunting, 21% overweight and 8.9% are obese. More than half (50.9%) do physical activity (21 min/day). As GL showed, overweight and obesity are higher in 10 urban areas of Medellin.
Conclusions: The GL allows identifying the more affected populations. The GL shows that the coexistence of malnutrition due to deficiency and excess varies according to the geographic area studied. Institutions must consider the double burden of malnutrition: a social complex problem, which Medellin and the entire world suffer.

Author Biographies

Jennifer Bernal, Facultad de Ciencias de la Nutricion y los Alimentos, Universidad CES. Medellin, Colombia.

Facultad de Ciencias de la Nutrición y los Alimentos

Profesora e investigadora

 

Alejandra Agudelo Martínez, Facultad de Ciencias de la Nutricion y los Alimentos, Universidad CES. Medellin, Colombia.

Facultad de Ciencias de la Nutrición y los Alimentos

Coordinadora Investigación e Innovación.

Piedad Roldan Jaramillo, Facultad de Ciencias de la Nutricion y los Alimentos, Universidad CES. Medellin, Colombia.

Facultad de Ciencias de la Nutrición y los Alimentos

Decana

References

(1) Dibari F, Seal A, Paron P. Applying GIS to Nutrition Surveys [Internet]. 2019. Available from: www.ennonline.net/fex/26/applying

(2) WHO. Components of growth monitoring and promotion of children under 5. 2017.

(3) MINSALUD. Encuesta Nacional de la Situación Nutricional ENSIN 2015 [Internet]. Bogota; 2017. Available from: https://www.minsalud.gov.co/Paginas/Gobierno-presenta-Encuesta-Nacional-de-Situación-Nutricional-de-Colombia-ENSIN-2015.aspx

(4) Departamento Administrativo Nacional de Estadística DANE. Estadísticas vitales nacimientos y defunciones [Internet]. 2017 [cited 2018 Mar 10]. Available from: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/nacimientos-y-defunciones

(5) GBD 2017 Diet Collaborators. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;393(10184):1958–72.

(6) Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N, Horton S, et al. Evidence-based interventions for improvement of maternal and child nutrition: What can be done and at what cost? Lancet. 2013;382(9890):452–77.

(7) Victora CG, Rivera JA. Optimal child growth and the double burden of malnutrition: Research and programmatic implications. Am J Clin Nutr. 2014;100(6):1611S-1612S.

(8) Mother Infant and Young Child Nutrition & Malnutrition. Impact of malnutrition [Internet]. 2017. Available from: https://motherchildnutrition.org/malnutrition/about-malnutrition/impact-of-malnutrition.html

(9) Naciones Unidas, CEPAL, PMA. Modelo de análisis del Impacto Social y Económico de la Desnutrición Infantil en América Latina [Internet]. 2006. Available from: https://www.cepal.org/es/publicaciones/5491-modelo-analisis-impacto-social-economico-la-desnutricion-infantil-america-latina

(10) Horton S, Alderman H, Rivera JA. Copenhagen Consensus 2008 Challange Paper: Hunger and Malnutrition. 2008; Available from: https://www.who.int/pmnch/topics/nutrition/hunger/en/

(11) Valencia-Mendoza A, Danese-dlSantos LG, Sosa-Rubí SG, Aracena-Genao B. Costo-efectividad de prácticas en salud pública: Revisión bibliográfica de las intervenciones de la Iniciativa Mesoamericana de Salud. Salud Publica Mex. 2011;53(SUPPL. 3).

(12) Facultad Nacional de Salud Pública, Universidad de Antioquia. Valoración del estado nutricional de los niños, niñas y adolescentes hasta los 17 años en los municipios del departamento de Antioquia 2014. Medellin; 2015.

(13) WHO. The WHO Child Growth Standards [Internet]. 2006. Available from: https://www.who.int/childgrowth/en/

(14) Ministerio de Salud y Protección Social. Resolución 2465 de 2016 [Internet]. 2465 Colombia; 2016. Available from: https://www.minsalud.gov.co/Normatividad_Nuevo/Forms/DispForm.aspx?ID=4909

(15) Organización Mundial de la Salud. Recomendaciones mundiales sobre actividad física para la salud [Internet]. Ginebra; 2010. Available from: https://apps.who.int/iris/bitstream/handle/10665/44441/9789243599977_spa.pdf?ua=1

(16) Gibson R. Principles of Nutritional Assessment. 2nd ed. New York: Oxford University Press; 2005. 908 p.

(17) Ministerio de Salud y Protección Social. Resolución 8430 de 1993. Normas científicas, técnicas y administrativas para la investigación en salud [Internet]. 1993 Colombia; 1993. Available from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/DIJ/RESOLUCION-8430-DE-1993.PDF

(18) UNICEF, WHO, The World Bank. Joint child malnutrition estimates - Levels and trends [Internet]. 2019 [cited 2019 Mar 1]. Available from: https://www.who.int/nutgrowthdb/estimates/en/

(19) WHO. Global recommendations on physica activity for health [Internet]. Geneva; 2010. Available from: https://www.who.int/dietphysicalactivity/publications/9789241599979/en/

(20) Bacallao J, Pena M, Diaz M. Reducción de la desnutrición crónica en las bases biosociales para la promoción de la salud y el desarrollo. Rev Panam salud pública. 2012;32:145–50.

(21) Aboud FE, Yousafzai AK. Health and nutrition interventions for infant development. Lancet Child Adolesc Heal. 2018;2(4):231–233

Published

2020-07-16

How to Cite

Bernal, J., Agudelo Martínez, A., & Roldan Jaramillo, P. (2020). Geographical representation of malnutrition in children and adolescents from Medellin, Colombia. Spanish Journal of Human Nutrition and Dietetics, 24(2), 111–119. https://doi.org/10.14306/renhyd.24.2.945

Most read articles by the same author(s)