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Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis
BACKGROUND: Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012. METHODS: We used various s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248498/ https://www.ncbi.nlm.nih.gov/pubmed/28103825 http://dx.doi.org/10.1186/s12887-017-0790-3 |
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author | Huicho, Luis Huayanay-Espinoza, Carlos A. Herrera-Perez, Eder Segura, Eddy R. Niño de Guzman, Jessica Rivera-Ch, María Barros, Aluisio J.D. |
author_facet | Huicho, Luis Huayanay-Espinoza, Carlos A. Herrera-Perez, Eder Segura, Eddy R. Niño de Guzman, Jessica Rivera-Ch, María Barros, Aluisio J.D. |
author_sort | Huicho, Luis |
collection | PubMed |
description | BACKGROUND: Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012. METHODS: We used various secondary data sources to describe time trends of stunting and of possible predictors that included distal to proximal determinants. We determined a ranking of departments by annual change of stunting and of different predictors. To account for variation over time and across departments, we used an ecological hierarchical approach based on a multilevel mixed-effects regression model, considering stunting as the outcome. Our unit of analysis was one department-year. RESULTS: Stunting followed a decreasing trend in all departments, with differing slopes. The reduction pace was higher from 2007–2008 onwards. The departments with the highest annual stunting reduction were Cusco (−2.31%), Amazonas (−1.57%), Puno (−1.54%), Huanuco (−1.52%), and Ancash (−1.44). Those with the lowest reduction were Ica (−0.67%), Ucayali (−0.64%), Tumbes (−0.45%), Lima (−0.37%), and Tacna (−0.31%). Amazon and Andean departments, with the highest baseline poverty rates and concentrating the highest rural populations, showed the highest stunting reduction. In the multilevel analysis, when accounting for confounding, social determinants seemed to be the most important factors influencing annual stunting reduction, with significant variation between departments. CONCLUSIONS: Stunting reduction may be explained by the adoption of anti-poverty policies and sustained implementation of equitable crosscutting interventions, with focus on poorest areas. Inclusion of quality indicators for reproductive, maternal, neonatal and child health interventions may enable further analyses to show the influence of these factors. After a long stagnation period, Peru reduced dramatically its national and departmental stunting prevalence, thanks to a combination of social determinants and crosscutting factors. This experience offers useful lessons to other countries trying to improve their children’s nutrition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12887-017-0790-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5248498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52484982017-01-25 Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis Huicho, Luis Huayanay-Espinoza, Carlos A. Herrera-Perez, Eder Segura, Eddy R. Niño de Guzman, Jessica Rivera-Ch, María Barros, Aluisio J.D. BMC Pediatr Research Article BACKGROUND: Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012. METHODS: We used various secondary data sources to describe time trends of stunting and of possible predictors that included distal to proximal determinants. We determined a ranking of departments by annual change of stunting and of different predictors. To account for variation over time and across departments, we used an ecological hierarchical approach based on a multilevel mixed-effects regression model, considering stunting as the outcome. Our unit of analysis was one department-year. RESULTS: Stunting followed a decreasing trend in all departments, with differing slopes. The reduction pace was higher from 2007–2008 onwards. The departments with the highest annual stunting reduction were Cusco (−2.31%), Amazonas (−1.57%), Puno (−1.54%), Huanuco (−1.52%), and Ancash (−1.44). Those with the lowest reduction were Ica (−0.67%), Ucayali (−0.64%), Tumbes (−0.45%), Lima (−0.37%), and Tacna (−0.31%). Amazon and Andean departments, with the highest baseline poverty rates and concentrating the highest rural populations, showed the highest stunting reduction. In the multilevel analysis, when accounting for confounding, social determinants seemed to be the most important factors influencing annual stunting reduction, with significant variation between departments. CONCLUSIONS: Stunting reduction may be explained by the adoption of anti-poverty policies and sustained implementation of equitable crosscutting interventions, with focus on poorest areas. Inclusion of quality indicators for reproductive, maternal, neonatal and child health interventions may enable further analyses to show the influence of these factors. After a long stagnation period, Peru reduced dramatically its national and departmental stunting prevalence, thanks to a combination of social determinants and crosscutting factors. This experience offers useful lessons to other countries trying to improve their children’s nutrition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12887-017-0790-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-19 /pmc/articles/PMC5248498/ /pubmed/28103825 http://dx.doi.org/10.1186/s12887-017-0790-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Huicho, Luis Huayanay-Espinoza, Carlos A. Herrera-Perez, Eder Segura, Eddy R. Niño de Guzman, Jessica Rivera-Ch, María Barros, Aluisio J.D. Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis |
title | Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis |
title_full | Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis |
title_fullStr | Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis |
title_full_unstemmed | Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis |
title_short | Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis |
title_sort | factors behind the success story of under-five stunting in peru: a district ecological multilevel analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248498/ https://www.ncbi.nlm.nih.gov/pubmed/28103825 http://dx.doi.org/10.1186/s12887-017-0790-3 |
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