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Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?

BACKGROUND: Maternal socio-demographic and health profiles are important determinants of malnutrition in children. In the 1990s, malnutrition was associated with low-birth-weight, young mothers and low maternal socio-economic status at Princess Marie Louise Children’s Hospital (PML). It is not known...

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Autores principales: Tette, Edem M. A., Sifah, Eric K., Nartey, Edmund T., Nuro-Ameyaw, Peter, Tete-Donkor, Pricilla, Biritwum, Richard B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776384/
https://www.ncbi.nlm.nih.gov/pubmed/26935849
http://dx.doi.org/10.1186/s12889-016-2853-z
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author Tette, Edem M. A.
Sifah, Eric K.
Nartey, Edmund T.
Nuro-Ameyaw, Peter
Tete-Donkor, Pricilla
Biritwum, Richard B.
author_facet Tette, Edem M. A.
Sifah, Eric K.
Nartey, Edmund T.
Nuro-Ameyaw, Peter
Tete-Donkor, Pricilla
Biritwum, Richard B.
author_sort Tette, Edem M. A.
collection PubMed
description BACKGROUND: Maternal socio-demographic and health profiles are important determinants of malnutrition in children. In the 1990s, malnutrition was associated with low-birth-weight, young mothers and low maternal socio-economic status at Princess Marie Louise Children’s Hospital (PML). It is not known how this has changed by efforts to achieve the Millennium Development Goals. We examined socio-demographic and health profiles of mothers of children with acute malnutrition and those without the condition to identify risk factors for malnutrition and focus on preventive efforts. METHODS: An unmatched case–control study was conducted in 2013 at PML, the largest facility for treating malnourished children in Ghana in 2013. Mothers of children with moderate and severe acute malnutrition were compared with mothers of well-nourished children. Weight-for-height was used to classify malnutrition. Record forms and a semi-structured questionnaire were used for data collection. An analysis was done with Stata 11.0 software. RESULTS: Altogether, 371 mothers were studied consisting of 182 mothers of malnourished children and 189 mothers of well-nourished children. Mothers of malnourished children were more likely to be unmarried or cohabiting, have lower family incomes, HIV infection and chronic disease. They were less likely to stay with or provide alternative care for their child. Awareness and use of social services, health insurance and a cash transfer programme were low. A remarkable reduction in the number of malnourished children occurred when families earned more than $250 USD a month. Over-nutrition was present in both groups of mothers. CONCLUSION: Low family income, unmarried status and type of child care were the main social determinants of malnutrition. There appears to be a reduction in the number of other poor socio-demographic characteristics in both the study and control groups compared to results from a previous study at the same centre, probably because of efforts toward attaining the MDGs. These findings suggest that prevention and optimum management need to involve multidisciplinary teams consisting of health professionals, social workers and/or key workers to enable families at risk to access social care and social protection interventions (MDG 1). This will make the management of malnutrition more effective, prevent relapse, protect the next child and address maternal over-nutrition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2853-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-47763842016-03-04 Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt? Tette, Edem M. A. Sifah, Eric K. Nartey, Edmund T. Nuro-Ameyaw, Peter Tete-Donkor, Pricilla Biritwum, Richard B. BMC Public Health Research Article BACKGROUND: Maternal socio-demographic and health profiles are important determinants of malnutrition in children. In the 1990s, malnutrition was associated with low-birth-weight, young mothers and low maternal socio-economic status at Princess Marie Louise Children’s Hospital (PML). It is not known how this has changed by efforts to achieve the Millennium Development Goals. We examined socio-demographic and health profiles of mothers of children with acute malnutrition and those without the condition to identify risk factors for malnutrition and focus on preventive efforts. METHODS: An unmatched case–control study was conducted in 2013 at PML, the largest facility for treating malnourished children in Ghana in 2013. Mothers of children with moderate and severe acute malnutrition were compared with mothers of well-nourished children. Weight-for-height was used to classify malnutrition. Record forms and a semi-structured questionnaire were used for data collection. An analysis was done with Stata 11.0 software. RESULTS: Altogether, 371 mothers were studied consisting of 182 mothers of malnourished children and 189 mothers of well-nourished children. Mothers of malnourished children were more likely to be unmarried or cohabiting, have lower family incomes, HIV infection and chronic disease. They were less likely to stay with or provide alternative care for their child. Awareness and use of social services, health insurance and a cash transfer programme were low. A remarkable reduction in the number of malnourished children occurred when families earned more than $250 USD a month. Over-nutrition was present in both groups of mothers. CONCLUSION: Low family income, unmarried status and type of child care were the main social determinants of malnutrition. There appears to be a reduction in the number of other poor socio-demographic characteristics in both the study and control groups compared to results from a previous study at the same centre, probably because of efforts toward attaining the MDGs. These findings suggest that prevention and optimum management need to involve multidisciplinary teams consisting of health professionals, social workers and/or key workers to enable families at risk to access social care and social protection interventions (MDG 1). This will make the management of malnutrition more effective, prevent relapse, protect the next child and address maternal over-nutrition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2853-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-02 /pmc/articles/PMC4776384/ /pubmed/26935849 http://dx.doi.org/10.1186/s12889-016-2853-z Text en © Tette et al. 2016 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
Tette, Edem M. A.
Sifah, Eric K.
Nartey, Edmund T.
Nuro-Ameyaw, Peter
Tete-Donkor, Pricilla
Biritwum, Richard B.
Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?
title Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?
title_full Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?
title_fullStr Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?
title_full_unstemmed Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?
title_short Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?
title_sort maternal profiles and social determinants of malnutrition and the mdgs: what have we learnt?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776384/
https://www.ncbi.nlm.nih.gov/pubmed/26935849
http://dx.doi.org/10.1186/s12889-016-2853-z
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