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Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania

Anemia is a global health problem affecting most developing countries. We examined the prevalence of anemia and its predictors among children under 5 years of age in Arusha District, Tanzania. Random sampling technique was used to identify 436 children aged 6–59 months. Anemia status was assessed by...

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Autores principales: Kejo, Dyness, Petrucka, Pammla M, Martin, Haikel, Kimanya, Martin E, Mosha, Theobald CE
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5804135/
https://www.ncbi.nlm.nih.gov/pubmed/29443328
http://dx.doi.org/10.2147/PHMT.S148515
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author Kejo, Dyness
Petrucka, Pammla M
Martin, Haikel
Kimanya, Martin E
Mosha, Theobald CE
author_facet Kejo, Dyness
Petrucka, Pammla M
Martin, Haikel
Kimanya, Martin E
Mosha, Theobald CE
author_sort Kejo, Dyness
collection PubMed
description Anemia is a global health problem affecting most developing countries. We examined the prevalence of anemia and its predictors among children under 5 years of age in Arusha District, Tanzania. Random sampling technique was used to identify 436 children aged 6–59 months. Anemia status was assessed by measuring hemoglobin concentration from blood sample obtained from a finger prick and HemoCue(®) Hb 201+ photometer. Demographic information and dietary intake data were collected using a standardized questionnaire. Anemia cut-off points were defined according to World Health Organization standards for children aged 6–59 months. Logistic regression using backward procedure was used to estimate odds ratios (ORs) at 95% confidence intervals (CIs). Prevalence rate of anemia among under-fives was found to be 84.6% (n=369). Multivariable logistic regression identified the following predictors of anemia; low birth weight (adjusted OR (AOR): 2.1, 95% CI: 1.1–3.8), not consuming meat (AOR: 6.4, 95% CI: 3.2–12.9), not consuming vegetables (AOR: 2.1, 95% CI: 1.1–4.1), drinking milk (AOR: 2.5, 95% CI: 1.1–5.2), and drinking tea (AOR: 4.5, 95% CI: 1.5–13.7). It was concluded that low birth weight and dietary factors (ie, low or nonconsumption of iron-rich foods like meat, vegetables, and fruits) were predictors of anemia among under-five children living in this rural setting. Community education on exclusive breastfeeding and introduction of complementary foods should be improved. Mothers and caretakers should be educated about nutrition, in general, as well as potential use of micronutrient powder to improve the nutritional quality of complementary foods.
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spelling pubmed-58041352018-02-13 Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania Kejo, Dyness Petrucka, Pammla M Martin, Haikel Kimanya, Martin E Mosha, Theobald CE Pediatric Health Med Ther Original Research Anemia is a global health problem affecting most developing countries. We examined the prevalence of anemia and its predictors among children under 5 years of age in Arusha District, Tanzania. Random sampling technique was used to identify 436 children aged 6–59 months. Anemia status was assessed by measuring hemoglobin concentration from blood sample obtained from a finger prick and HemoCue(®) Hb 201+ photometer. Demographic information and dietary intake data were collected using a standardized questionnaire. Anemia cut-off points were defined according to World Health Organization standards for children aged 6–59 months. Logistic regression using backward procedure was used to estimate odds ratios (ORs) at 95% confidence intervals (CIs). Prevalence rate of anemia among under-fives was found to be 84.6% (n=369). Multivariable logistic regression identified the following predictors of anemia; low birth weight (adjusted OR (AOR): 2.1, 95% CI: 1.1–3.8), not consuming meat (AOR: 6.4, 95% CI: 3.2–12.9), not consuming vegetables (AOR: 2.1, 95% CI: 1.1–4.1), drinking milk (AOR: 2.5, 95% CI: 1.1–5.2), and drinking tea (AOR: 4.5, 95% CI: 1.5–13.7). It was concluded that low birth weight and dietary factors (ie, low or nonconsumption of iron-rich foods like meat, vegetables, and fruits) were predictors of anemia among under-five children living in this rural setting. Community education on exclusive breastfeeding and introduction of complementary foods should be improved. Mothers and caretakers should be educated about nutrition, in general, as well as potential use of micronutrient powder to improve the nutritional quality of complementary foods. Dove Medical Press 2018-02-05 /pmc/articles/PMC5804135/ /pubmed/29443328 http://dx.doi.org/10.2147/PHMT.S148515 Text en © 2018 Kejo et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Kejo, Dyness
Petrucka, Pammla M
Martin, Haikel
Kimanya, Martin E
Mosha, Theobald CE
Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania
title Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania
title_full Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania
title_fullStr Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania
title_full_unstemmed Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania
title_short Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania
title_sort prevalence and predictors of anemia among children under 5 years of age in arusha district, tanzania
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5804135/
https://www.ncbi.nlm.nih.gov/pubmed/29443328
http://dx.doi.org/10.2147/PHMT.S148515
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