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Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age

OBJECTIVE: To identify the prevalence and predictors of malnutrition among 2-year old children in the Western Highlands of Guatemala. METHODS: Prospective cohort of 852 Guatemalan children in San Lucas Toliman, Guatemala followed from birth to age 2 from May 2008 to December 2013. Socio-demographic,...

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Autores principales: Nagata, Jason M., Gippetti, James, Wager, Stefan, Chavez, Alejandro, Wise, Paul H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091788/
https://www.ncbi.nlm.nih.gov/pubmed/27806066
http://dx.doi.org/10.1371/journal.pone.0164772
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author Nagata, Jason M.
Gippetti, James
Wager, Stefan
Chavez, Alejandro
Wise, Paul H.
author_facet Nagata, Jason M.
Gippetti, James
Wager, Stefan
Chavez, Alejandro
Wise, Paul H.
author_sort Nagata, Jason M.
collection PubMed
description OBJECTIVE: To identify the prevalence and predictors of malnutrition among 2-year old children in the Western Highlands of Guatemala. METHODS: Prospective cohort of 852 Guatemalan children in San Lucas Toliman, Guatemala followed from birth to age 2 from May 2008 to December 2013. Socio-demographic, anthropometric, and health data of children was collected at 2 month intervals. RESULTS: Among the 402 males and 450 females in the cohort, mean weight-for-age Z-score (WAZ) declined from -0.67 ± 1.01 at 1 year to -1.07 ± 0.87 at 2 years, while mean height-for-age Z-score (HAZ) declined from -1.88 ± 1.19 at 1 year to -2.37 ± 0.99 at 2 years. Using multiple linear regression modeling, number of children <5 years old, vomiting in the past week, fever in the past week, and WAZ at 1 year were significant predictors of WAZ at 2 years. Significant predictors of HAZ at 2 years included household size, number of children <5 years old, diarrhea in the past week, WAZ at 1 year, and HAZ at 1 year. Vomiting in the past week and WAZ at 1 year were significant predictors of weight-for-height z-score (WHZ) at 2 years. CONCLUSIONS: Number of children <5 years old, symptoms such as vomiting or diarrhea in the previous week, and prior nutritional status were the most significant predictors of malnutrition in this cohort. Future research may focus on the application of models to develop predictive algorithms for mobile device technology, as well as the identification of other predictors of malnutrition that are not well characterized such as the interaction of environmental exposures with protein consumption and epigenetics.
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spelling pubmed-50917882016-11-15 Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age Nagata, Jason M. Gippetti, James Wager, Stefan Chavez, Alejandro Wise, Paul H. PLoS One Research Article OBJECTIVE: To identify the prevalence and predictors of malnutrition among 2-year old children in the Western Highlands of Guatemala. METHODS: Prospective cohort of 852 Guatemalan children in San Lucas Toliman, Guatemala followed from birth to age 2 from May 2008 to December 2013. Socio-demographic, anthropometric, and health data of children was collected at 2 month intervals. RESULTS: Among the 402 males and 450 females in the cohort, mean weight-for-age Z-score (WAZ) declined from -0.67 ± 1.01 at 1 year to -1.07 ± 0.87 at 2 years, while mean height-for-age Z-score (HAZ) declined from -1.88 ± 1.19 at 1 year to -2.37 ± 0.99 at 2 years. Using multiple linear regression modeling, number of children <5 years old, vomiting in the past week, fever in the past week, and WAZ at 1 year were significant predictors of WAZ at 2 years. Significant predictors of HAZ at 2 years included household size, number of children <5 years old, diarrhea in the past week, WAZ at 1 year, and HAZ at 1 year. Vomiting in the past week and WAZ at 1 year were significant predictors of weight-for-height z-score (WHZ) at 2 years. CONCLUSIONS: Number of children <5 years old, symptoms such as vomiting or diarrhea in the previous week, and prior nutritional status were the most significant predictors of malnutrition in this cohort. Future research may focus on the application of models to develop predictive algorithms for mobile device technology, as well as the identification of other predictors of malnutrition that are not well characterized such as the interaction of environmental exposures with protein consumption and epigenetics. Public Library of Science 2016-11-02 /pmc/articles/PMC5091788/ /pubmed/27806066 http://dx.doi.org/10.1371/journal.pone.0164772 Text en © 2016 Nagata et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nagata, Jason M.
Gippetti, James
Wager, Stefan
Chavez, Alejandro
Wise, Paul H.
Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age
title Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age
title_full Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age
title_fullStr Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age
title_full_unstemmed Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age
title_short Prevalence and Predictors of Malnutrition among Guatemalan Children at 2 Years of Age
title_sort prevalence and predictors of malnutrition among guatemalan children at 2 years of age
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091788/
https://www.ncbi.nlm.nih.gov/pubmed/27806066
http://dx.doi.org/10.1371/journal.pone.0164772
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