Universidad Peruana Cayetano Heredia

Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis

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dc.contributor.author Huicho Oriundo, Luis
dc.contributor.author Huayanay Espinoza, Carlos Andrés
dc.contributor.author Herrera-Perez, Eder
dc.contributor.author Segura, Eddy R.
dc.contributor.author Nino de Guzman, Jessica
dc.contributor.author Rivera Chira, Maria Concepcion
dc.contributor.author Barros, Aluisio J. D.
dc.date.accessioned 2019-01-25T15:18:35Z
dc.date.available 2019-01-25T15:18:35Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/20.500.12866/4654
dc.description.abstract 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. en_US
dc.language.iso eng
dc.publisher BioMed Central
dc.relation.ispartofseries BMC Pediatrics
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Female en_US
dc.subject Humans en_US
dc.subject Male en_US
dc.subject Poverty en_US
dc.subject Children en_US
dc.subject Infant en_US
dc.subject Child, Preschool en_US
dc.subject Health Status Disparities en_US
dc.subject Prevalence en_US
dc.subject Infant, Newborn en_US
dc.subject Childhood interventions en_US
dc.subject Ecologic study en_US
dc.subject Economic growth en_US
dc.subject Models, Statistical en_US
dc.subject Multilevel mixed-effects analysis en_US
dc.subject Protective Factors en_US
dc.subject Social determinants en_US
dc.subject Stunting en_US
dc.subject Peru/epidemiology en_US
dc.subject Economic Development en_US
dc.subject Health Policy en_US
dc.subject Rural Health en_US
dc.subject Social Determinants of Health en_US
dc.subject Growth Disorders/economics/epidemiology/prevention & control en_US
dc.subject Poverty/prevention & control en_US
dc.title Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1186/s12887-017-0790-3
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.03
dc.relation.issn 1471-2431


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