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Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
BACKGROUND. The aim of this study was to establish the association of maternal, family, and contextual correlates of anthropometric typologies at the household level in Colombia using 2005 Demographic Health Survey (DHS/ENDS) data. METHODS. Household-level information from mothers 18–49 years old an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921958/ https://www.ncbi.nlm.nih.gov/pubmed/29868231 http://dx.doi.org/10.1017/gheg.2018.4 |
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author | Parra, D. C. Gomez, L. F. Iannotti, L. Haire-Joshu, D. Sebert Kuhlmann, A. K. Brownson, R. C. |
author_facet | Parra, D. C. Gomez, L. F. Iannotti, L. Haire-Joshu, D. Sebert Kuhlmann, A. K. Brownson, R. C. |
author_sort | Parra, D. C. |
collection | PubMed |
description | BACKGROUND. The aim of this study was to establish the association of maternal, family, and contextual correlates of anthropometric typologies at the household level in Colombia using 2005 Demographic Health Survey (DHS/ENDS) data. METHODS. Household-level information from mothers 18–49 years old and their children <5 years old was included. Stunting and overweight were assessed for each child. Mothers were classified according to their body mass index. Four anthropometric typologies at the household level were constructed: normal, underweight, overweight, and dual burden. Four three-level [households (n = 8598) nested within municipalities (n = 226), nested within states (n = 32)] hierarchical polytomous logistic models were developed. Household log-odds of belonging to one of the four anthropometric categories, holding ‘normal’ as the reference group, were obtained. RESULTS. This study found that anthropometric typologies were associated with maternal and family characteristics of maternal age, parity, maternal education, and wealth index. Higher municipal living conditions index was associated with a lower likelihood of underweight typology and a higher likelihood of overweight typology. Higher population density was associated with a lower likelihood of overweight typology. CONCLUSION. Distal and proximal determinants of the various anthropometric typologies at the household level should be taken into account when framing policies and designing interventions to reduce malnutrition in Colombia. |
format | Online Article Text |
id | pubmed-5921958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59219582018-06-04 Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants Parra, D. C. Gomez, L. F. Iannotti, L. Haire-Joshu, D. Sebert Kuhlmann, A. K. Brownson, R. C. Glob Health Epidemiol Genom Original Research Article BACKGROUND. The aim of this study was to establish the association of maternal, family, and contextual correlates of anthropometric typologies at the household level in Colombia using 2005 Demographic Health Survey (DHS/ENDS) data. METHODS. Household-level information from mothers 18–49 years old and their children <5 years old was included. Stunting and overweight were assessed for each child. Mothers were classified according to their body mass index. Four anthropometric typologies at the household level were constructed: normal, underweight, overweight, and dual burden. Four three-level [households (n = 8598) nested within municipalities (n = 226), nested within states (n = 32)] hierarchical polytomous logistic models were developed. Household log-odds of belonging to one of the four anthropometric categories, holding ‘normal’ as the reference group, were obtained. RESULTS. This study found that anthropometric typologies were associated with maternal and family characteristics of maternal age, parity, maternal education, and wealth index. Higher municipal living conditions index was associated with a lower likelihood of underweight typology and a higher likelihood of overweight typology. Higher population density was associated with a lower likelihood of overweight typology. CONCLUSION. Distal and proximal determinants of the various anthropometric typologies at the household level should be taken into account when framing policies and designing interventions to reduce malnutrition in Colombia. Cambridge University Press 2018-04-22 /pmc/articles/PMC5921958/ /pubmed/29868231 http://dx.doi.org/10.1017/gheg.2018.4 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Article Parra, D. C. Gomez, L. F. Iannotti, L. Haire-Joshu, D. Sebert Kuhlmann, A. K. Brownson, R. C. Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants |
title | Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants |
title_full | Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants |
title_fullStr | Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants |
title_full_unstemmed | Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants |
title_short | Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants |
title_sort | multilevel correlates of household anthropometric typologies in colombian mothers and their infants |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921958/ https://www.ncbi.nlm.nih.gov/pubmed/29868231 http://dx.doi.org/10.1017/gheg.2018.4 |
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