Prevalence and risk factors of anemia in children aged from 6 to 59 months in Togo: analysis from Togo demographic and health survey data, 2013-2014

BMC Public Health
Aboubakari NambiemaIssifou Yaya

Abstract

Anemia in children continues to be a major public health challenge in developing countries and particularly in Sub-Saharan Africa. Anemia has serious consequences on the growth and development of the children in the early stages of life. This study aimed to determine the prevalence and associated factors of anemia among children from 6 to 59 months in Togo. Data from the Togo Demographic and Health Survey 2013-2014 were used for this study. This nationally representative survey provided data on a wide range of indicators such as mother and child health, nutrition and other characteristics. Anemia status was determined using hemoglobin level (Hb < 11.0 g/dl), and the weighted prevalence of childhood anemia along with 95% confidence intervals were provided. Data were analyzed using logistic regression models to estimate odds ratios (OR) and their 95% confidence intervals (95% CI) for associated factors. Two thousand eight hundred ninety children aged 6-59 months were included in this analysis. The weighted prevalence of anemia was 70.9% [95% CI = 68.8-73.1] with 2.6% [95% CI = 2.0-3.3] of severe anemia among these children. In the multivariate analysis, the adjusted odds ratio (aOR) for anemia was 0.33 [95% CI = 0.26-0.42] in chi...Continue Reading

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Citations

Apr 29, 2020·The American Journal of Tropical Medicine and Hygiene·John D HartRobin L Bailey
Dec 3, 2020·International Journal of Environmental Research and Public Health·Phillips Edomwonyi ObasohanKhaled Khatab
Dec 11, 2020·Porto Biomedical Journal·Cláudia FançonyHenrique Barros
Apr 8, 2021·Pediatric Health, Medicine and Therapeutics·Ataklti Gebretsadik WoldegebrielNega Mamo Bezabih
Jun 8, 2021·International Quarterly of Community Health Education·Carolyn Kemunto NyamasegeYukiko Wagatsuma
Jul 3, 2021·International Journal of Environmental Research and Public Health·Thierno Souleymane BarryHenry Mwambi

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Software Mentioned

SAS Statistical Analysis

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