13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Multilevel Analysis of Factors Associated with Wasting and Underweight among Children Under-Five Years in Nigeria

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Wasting and underweight reflect poor nutrition, which in children leads to retarded growth. The aim of this study is to determine the factors associated with wasting and underweight among children aged 0–59 months in Nigeria. A sample of 24,529 children aged 0–59 months from the 2013 Nigeria Demographic and Health Survey (NDHS) was used. Multilevel logistic regression analysis that adjusted for cluster and survey weights was used to identify significant factors associated with wasting/severe wasting and underweight/severe underweight. The prevalence of wasting was 18% (95% Confidence Interval (CI): 17.1, 19.7) and severe wasting 9% (95% CI: 7.9, 9.8). The prevalence of underweight was 29% (95% CI: 27.1, 30.5) and severe underweight 12% (95% CI: 10.6, 12.9). Multivariable analysis revealed that the most consistent factors associated with wasting/severe wasting and underweight/severe underweight are: geopolitical zone (North East, North West and North Central), perceived birth size (small and average), sex of child (male), place/mode of delivery (home delivery and non-caesarean) and a contraction of fever in the two weeks prior to the survey. In order to meet the WHO’s global nutrition target for 2025, interventions aimed at improving maternal health and access to health care services for children especially in the northern geopolitical zones of Nigeria are urgently needed.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Article: found

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

          The Lancet, 382(9890), 427-451
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              Obesity preventing and managing the global epidemic

                Bookmark

                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                08 January 2017
                January 2017
                : 9
                : 1
                : 44
                Affiliations
                [1 ]School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith NSW 2571, Australia; K.Agho@ 123456westernsydney.edu.au (K.E.A.); D.Merom@ 123456westernsydney.edu.au (D.M.)
                [2 ]School of Medicine and Public Health, Faculty of Health, University of Newcastle, Callaghan NSW 2308, Australia; John.Hall@ 123456newcastle.edu.au
                [3 ]School of Social Sciences and Psychology, Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia; Andre.Renzaho@ 123456westernsydney.edu.au
                Author notes
                Article
                nutrients-09-00044
                10.3390/nu9010044
                5295088
                28075336
                b88beb90-c052-45ba-9528-b413a5e51d9e
                © 2017 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 September 2016
                : 03 January 2017
                Categories
                Article

                Nutrition & Dietetics
                wasting,underweight,nigeria,public health,malnutrition,multilevel analysis
                Nutrition & Dietetics
                wasting, underweight, nigeria, public health, malnutrition, multilevel analysis

                Comments

                Comment on this article