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      Prevalence and risk factors of undernutrition among schoolchildren in the Plateau Central and Centre-Ouest regions of Burkina Faso

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          Abstract

          Background

          Multiple factors determine children’s nutritional status, including energy and nutrient intake, recurrent infectious diseases, access (or lack thereof) to clean water and improved sanitation, and hygiene practices, among others. The “Vegetables go to School: improving nutrition through agricultural diversification” (VgtS) project implements an integrated school garden programme in five countries, including Burkina Faso. The aim of this study was to determine the prevalence of undernutrition and its risk factors among schoolchildren in Burkina Faso before the start of the project.

          Methods

          In February 2015, a cross-sectional survey was carried out among 455 randomly selected children, aged 8–14 years, in eight schools in the Plateau Central and Centre-Ouest regions of Burkina Faso. Nutritional status was determined by anthropometric assessment. Helminth and intestinal protozoa infections were assessed using the Kato-Katz and a formalin-ether concentration method. A urine filtration technique was used to identify Schistosoma haematobium eggs. Prevalence of anaemia was determined by measuring haemoglobin levels in finger-prick blood samples. Questionnaires were administered to children to determine their knowledge of nutrition and health and their related attitudes and practices (KAP). Questionnaires were also administered to the children’s caregivers to identify basic household socio-demographic and economic characteristics, and water, sanitation and hygiene (WASH) conditions. To determine the factors associated with schoolchildren’s nutritional status, mixed logistic regression models were used. Differences and associations were considered statistically significant if P-values were below 0.05.

          Results

          Complete datasets were available for 385 children. The prevalence of undernutrition, stunting and thinness were 35.1%, 29.4% and 11.2%, respectively. The multivariable analysis revealed that undernutrition was associated with older age (i.e. 12–14 years compared to <12 years; adjusted odds ratio (a OR) = 3.45, 95% confidence interval ( CI) 2.12–5.62, P < 0.001), multiple pathogenic parasitic infections (a OR = 1.87, 95%  CI 1.02–3.43, P = 0.044) and with moderate and severe anaemia in children (a OR = 2.52, 95%  CI 1.25–5.08, P = 0.010).

          Conclusions

          We found high prevalence of undernutrition among the children surveyed in the two study regions of Burkina Faso. We further observed that undernutrition, anaemia and parasitic infections were strongly associated. In view of these findings, concerted efforts are needed to address undernutrition and associated risk factors among school-aged children. As part of the VgtS project, WASH, health education and nutritional interventions will be implemented with the goal to improve children’s health.

          Trial registration

          ISRCTN17968589 (date assigned: 17 July 2015).

          Electronic supplementary material

          The online version of this article (doi:10.1186/s40249-016-0230-x) contains supplementary material, which is available to authorized users.

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          Most cited references42

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

            Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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              Guidelines for Drinking Water Quality

              (2011)
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                Author and article information

                Contributors
                gueladio.cisse@unibas.ch
                Journal
                Infect Dis Poverty
                Infect Dis Poverty
                Infectious Diseases of Poverty
                BioMed Central (London )
                2049-9957
                19 January 2017
                19 January 2017
                2017
                : 6
                : 17
                Affiliations
                [1 ]Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland
                [2 ]University of Basel, P.O. Box, CH-4003, Basel, Switzerland
                [3 ]Institut de Recherches en Sciences de la Santé, P.O. Box 7192, Ouagadougou 03, Burkina Faso
                [4 ]Kathmandu University, P.O. Box 6250, 45200 Dhulikhel, Nepal
                Article
                230
                10.1186/s40249-016-0230-x
                5244543
                28100278
                4d6993df-2e35-4ca8-8ceb-983270be08d1
                © The Author(s). 2017

                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.

                History
                : 8 April 2016
                : 23 December 2016
                Funding
                Funded by: Swiss Agency for Development and Cooperation
                Award ID: 81024052
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                anaemia,burkina faso,intestinal parasitic infections,school garden,undernutrition,water,sanitation,and hygiene (wash)

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