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Determinants of Childhood Anemia in India

We analyzed a sample of 112714 children from the 2015–2016 Indian National Fertility and Health Survey with available data on hemoglobin. Multinomial logistic regression models were used to establish associations between parent anemia, household characteristics and nutritional intake of children. Li...

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Autores principales: Onyeneho, Nkechi G., Ozumba, Benjamin C., Subramanian, S. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851096/
https://www.ncbi.nlm.nih.gov/pubmed/31719548
http://dx.doi.org/10.1038/s41598-019-52793-3
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author Onyeneho, Nkechi G.
Ozumba, Benjamin C.
Subramanian, S. V.
author_facet Onyeneho, Nkechi G.
Ozumba, Benjamin C.
Subramanian, S. V.
author_sort Onyeneho, Nkechi G.
collection PubMed
description We analyzed a sample of 112714 children from the 2015–2016 Indian National Fertility and Health Survey with available data on hemoglobin. Multinomial logistic regression models were used to establish associations between parent anemia, household characteristics and nutritional intake of children. Linear regression analysis was also conducted to see the link between the household characteristic and childhood nutritional intake on one hand and hemoglobin levels on the other hand. A number of socio-demographic factors, namely maternal age, type of residence and maternal education, as well as wealth index, among others correlate with incidence of childhood anemia. For instance, whereas 52.9% of children in the richest households were anemic, 63.2% of children in the poorest household were anemic (p < 0.001). Mean Vitamin A intake in the last six months was 0.63 (0.626–0.634) which was 0.18% of the recommended intake. Mean iron intake, from sources other than breast milk, in the last 24 hours was 0.29 (0.286–0.294) and 2.42% of the recommended daily intake. Fifty-nine percent (58.5%) of the children surveyed were anemic (Hb level: 9.75 g/dL [9.59–9.91]). Children with anemia were more prone to being iron deficient (odds ratio [OR]: 0.981 (0.961–1.001), Vitamin A deficient (OR: 0.813 (0.794–0.833)), and have lower maternal hemoglobin level (OR: 1.992 (1.957–2.027)). Combining nutritional supplementation and food-fortification programmes with reduction in maternal anemia and family poverty may yield optimal improvement of childhood anemia in India.
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spelling pubmed-68510962019-11-19 Determinants of Childhood Anemia in India Onyeneho, Nkechi G. Ozumba, Benjamin C. Subramanian, S. V. Sci Rep Article We analyzed a sample of 112714 children from the 2015–2016 Indian National Fertility and Health Survey with available data on hemoglobin. Multinomial logistic regression models were used to establish associations between parent anemia, household characteristics and nutritional intake of children. Linear regression analysis was also conducted to see the link between the household characteristic and childhood nutritional intake on one hand and hemoglobin levels on the other hand. A number of socio-demographic factors, namely maternal age, type of residence and maternal education, as well as wealth index, among others correlate with incidence of childhood anemia. For instance, whereas 52.9% of children in the richest households were anemic, 63.2% of children in the poorest household were anemic (p < 0.001). Mean Vitamin A intake in the last six months was 0.63 (0.626–0.634) which was 0.18% of the recommended intake. Mean iron intake, from sources other than breast milk, in the last 24 hours was 0.29 (0.286–0.294) and 2.42% of the recommended daily intake. Fifty-nine percent (58.5%) of the children surveyed were anemic (Hb level: 9.75 g/dL [9.59–9.91]). Children with anemia were more prone to being iron deficient (odds ratio [OR]: 0.981 (0.961–1.001), Vitamin A deficient (OR: 0.813 (0.794–0.833)), and have lower maternal hemoglobin level (OR: 1.992 (1.957–2.027)). Combining nutritional supplementation and food-fortification programmes with reduction in maternal anemia and family poverty may yield optimal improvement of childhood anemia in India. Nature Publishing Group UK 2019-11-12 /pmc/articles/PMC6851096/ /pubmed/31719548 http://dx.doi.org/10.1038/s41598-019-52793-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Onyeneho, Nkechi G.
Ozumba, Benjamin C.
Subramanian, S. V.
Determinants of Childhood Anemia in India
title Determinants of Childhood Anemia in India
title_full Determinants of Childhood Anemia in India
title_fullStr Determinants of Childhood Anemia in India
title_full_unstemmed Determinants of Childhood Anemia in India
title_short Determinants of Childhood Anemia in India
title_sort determinants of childhood anemia in india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851096/
https://www.ncbi.nlm.nih.gov/pubmed/31719548
http://dx.doi.org/10.1038/s41598-019-52793-3
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