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Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty

BACKGROUND: Childhood stunting, defined as the height-for-age standardized score lower than minus two, is one of the key indicators for assessing well-being and health of a child; and can be used for monitoring child health inequalities. Thailand has been successful in improving health and providing...

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Autores principales: Cetthakrikul, Nisachol, Topothai, Chompoonut, Suphanchaimat, Rapeepong, Tisayaticom, Kanjana, Limwattananon, Supon, Tangcharoensathien, Viroj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309093/
https://www.ncbi.nlm.nih.gov/pubmed/30591029
http://dx.doi.org/10.1186/s12887-018-1375-5
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author Cetthakrikul, Nisachol
Topothai, Chompoonut
Suphanchaimat, Rapeepong
Tisayaticom, Kanjana
Limwattananon, Supon
Tangcharoensathien, Viroj
author_facet Cetthakrikul, Nisachol
Topothai, Chompoonut
Suphanchaimat, Rapeepong
Tisayaticom, Kanjana
Limwattananon, Supon
Tangcharoensathien, Viroj
author_sort Cetthakrikul, Nisachol
collection PubMed
description BACKGROUND: Childhood stunting, defined as the height-for-age standardized score lower than minus two, is one of the key indicators for assessing well-being and health of a child; and can be used for monitoring child health inequalities. Thailand has been successful in improving health and providing financial protection for its population. A better understanding of the determinants of stunting will help fill both knowledge and policy gaps which promote children’s health and well-being. This study assesses the factors contributing to stunting among Thai children aged less than five years. METHODS: This study obtained data from the Multiple Indicator Cluster Survey Round 4 (MICS4), conducted in Thailand in 2012. Data analysis consisted of three steps. First, descriptive statistics provided an overview of data. Second, a Chi-square test determined the association between each covariate and stunting. Finally, multivariable logistic regression assessed the likelihood of stunting from all independent variables. Interaction effects between breastfeeding and household economy were added in the multivariable logistic regression. RESULTS: In the analysis without interaction effects, while the perceived size of children at birth as ‘small’ were positively associated with stunting, children in the well-off households were less likely to experience stunting. The analysis of the interactions between ‘duration of breastfeeding’ and ‘household’s economic level’ found that the odds of stunting in children who were breastfed longer than 12 months in the poorest household quintile were 1.8 fold (95% Confidence interval: 1.3–2.6) higher than the odds found in mothers from the same poorest quintiles, but without prolonged breastfeeding. However prolonged breastfeeding in most well-off households (those between the second quintile and the fifth wealth quintile) did not show a tendency towards stunting. CONCLUSIONS: Childhood stunting was significantly associated with several factors. Prolonged breastfeeding beyond 12 months when interacting with poor economic status of a household potentiated stunting. Children living in the least well-off households were more prone to stunting than others. We recommend that the MICS survey questionnaire be amended to capture details on quantity, quality and practices of supplementary feeding. Multi-sectoral nutrition policies targeting poor households are required to address stunting challenges.
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spelling pubmed-63090932019-01-03 Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty Cetthakrikul, Nisachol Topothai, Chompoonut Suphanchaimat, Rapeepong Tisayaticom, Kanjana Limwattananon, Supon Tangcharoensathien, Viroj BMC Pediatr Research Article BACKGROUND: Childhood stunting, defined as the height-for-age standardized score lower than minus two, is one of the key indicators for assessing well-being and health of a child; and can be used for monitoring child health inequalities. Thailand has been successful in improving health and providing financial protection for its population. A better understanding of the determinants of stunting will help fill both knowledge and policy gaps which promote children’s health and well-being. This study assesses the factors contributing to stunting among Thai children aged less than five years. METHODS: This study obtained data from the Multiple Indicator Cluster Survey Round 4 (MICS4), conducted in Thailand in 2012. Data analysis consisted of three steps. First, descriptive statistics provided an overview of data. Second, a Chi-square test determined the association between each covariate and stunting. Finally, multivariable logistic regression assessed the likelihood of stunting from all independent variables. Interaction effects between breastfeeding and household economy were added in the multivariable logistic regression. RESULTS: In the analysis without interaction effects, while the perceived size of children at birth as ‘small’ were positively associated with stunting, children in the well-off households were less likely to experience stunting. The analysis of the interactions between ‘duration of breastfeeding’ and ‘household’s economic level’ found that the odds of stunting in children who were breastfed longer than 12 months in the poorest household quintile were 1.8 fold (95% Confidence interval: 1.3–2.6) higher than the odds found in mothers from the same poorest quintiles, but without prolonged breastfeeding. However prolonged breastfeeding in most well-off households (those between the second quintile and the fifth wealth quintile) did not show a tendency towards stunting. CONCLUSIONS: Childhood stunting was significantly associated with several factors. Prolonged breastfeeding beyond 12 months when interacting with poor economic status of a household potentiated stunting. Children living in the least well-off households were more prone to stunting than others. We recommend that the MICS survey questionnaire be amended to capture details on quantity, quality and practices of supplementary feeding. Multi-sectoral nutrition policies targeting poor households are required to address stunting challenges. BioMed Central 2018-12-27 /pmc/articles/PMC6309093/ /pubmed/30591029 http://dx.doi.org/10.1186/s12887-018-1375-5 Text en © The Author(s). 2018 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
Cetthakrikul, Nisachol
Topothai, Chompoonut
Suphanchaimat, Rapeepong
Tisayaticom, Kanjana
Limwattananon, Supon
Tangcharoensathien, Viroj
Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty
title Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty
title_full Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty
title_fullStr Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty
title_full_unstemmed Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty
title_short Childhood stunting in Thailand: when prolonged breastfeeding interacts with household poverty
title_sort childhood stunting in thailand: when prolonged breastfeeding interacts with household poverty
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309093/
https://www.ncbi.nlm.nih.gov/pubmed/30591029
http://dx.doi.org/10.1186/s12887-018-1375-5
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