ArticlePublic health in practice (Oxford, England)2021
Predictive model of stunting in the Central Andean region of Peru based on socioeconomic and agri-food determinants.
Article in Public health in practice (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 33 citations in OpenAlex.
- From gene to plate in Indonesia: a food system framework for the triple burden of malnutrition.Frontiers in public health · 2026Article
- Exploring the multifactorial predictors of stunting in children under five: A systematic review of the literature, 2015-2024.Journal of public health research · 2025Review
- Stunting Among Low-Income Families in Indonesia: Is Mother's Employment a Risk Factor?Journal of research in health sciences · 2025Article
- Determining Policy Targets for Reducing the Number of Stunted Papuan Children Under Five Years Old in Indonesia: A Secondary Data Analysis of the 2022 Indonesian National Nutritional Status Survey.The Malaysian journal of medical sciences : MJMS · 2025Article
- A multilevel analysis of the triple burden of malnutrition in Indonesia: trends and determinants from repeated cross-sectional surveys.BMC public health · 2023Article
- Article
- The Targets for Stunting Prevention Policies in Papua, Indonesia: What Mothers' Characteristics Matter?Nutrients · 2022Article
- Determinants of Stunting among Children with Teenage Mothers: Evidence from Indonesia.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
- Children's Characteristics as the Predictors of Stunting among Children Under 2 Years in East Nusa Tenggara in Indonesia.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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Authors and funding
3 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Objectives: A limitation in the design and monitoring of public health policies is the lack of conceptual models to explain their results. The objective of this study was to develop a predictive model of stunting in children under 5 years of age in the central Andean region of Peru, using socioeconomic and agro-productive predictors. Study design: Cross-sectional data of 380 families in 15 districts of the central region of Peru. WHO criteria were used to define stunting prediction model. Methods: An explanatory and predictive study of stunting in children was carried out considering causality criteria through Chi-square tests and bivariate logistic regression. Family food production, maternal education, breastfeeding practices and others determinant related to rural zone conditions were considered as explanatory variables in stunting of children under 5 years old. Three exhaustive models for predicted the presence of stunting was developed. Results: Stunting percentage was 40.3. To Hosmer and Lemeshow test, the best fit was the model that considered the level of maternal education, timely consumption of colostrum, birth weight and guinea pig rearing, having high reliability ( Conclusions: A predictive model for early detection of stunting risk in rural areas of the Andean region was developed based on simple and easily applied indicators. Effective policies are required to improve the feeding practices of pregnant women, increase breastfeeding and promote guinea pig raising for self-consumption and improve the nutritional status of children.
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