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      Trends and drivers of change in the prevalence of anaemia among 1 million women and children in India, 2006 to 2016

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          Abstract

          Introduction

          India carries the largest burden of anaemia globally. Progress to reduce anaemia has been slow despite substantial economic growth and 50 years of programmatic efforts. Identification of the factors that contribute to anaemia reductions is needed to accelerate progress. We examined changes in haemoglobin (Hb) and anaemia among women and children in India from 2006 to 2016 and identified drivers of changes in these outcomes over time.

          Methods

          We used two rounds of National Family Health Survey data collected in 2005–2006 and 2015–2016 (n=245 346 children 6–59 months; 37 165 pregnant women (PW) 15–49 years; 760 460 non-pregnant women (NPW) 15–49 years). We first examined trends in Hb and anaemia, and changes in 30 selected variables (including immediate and underlying determinants, and nutrition and health interventions (NHIs)). We identified drivers of Hb and anaemia using multivariate regression and estimated their contribution to changes in these outcomes over time using regression-based decomposition.

          Results

          Hb and anaemia improved significantly between 2006 and 2016 in children (4.5  g/L and 11 percentage points (pp), respectively) and PW (3.2  g/L and 7.6 pp), but not in NPW. Despite these changes, anaemia is still very high (>50%) and progress varied considerably by state (−33 pp to +16 pp). Most immediate and underlying determinants, and NHIs improved significantly over time. Changes among a set of drivers common to children and PW accounted for the changes in Hb; these included maternal schooling (children, 10%; PW, 24%), coverage of NHIs (children, 18%; PW, 7%), socioeconomic status (children, 7%; PW, 17%), sanitation (children, 3%; PW, 9%), and meat and fish consumption (children, 3%; PW, 1%). The decomposition models moderately explained Hb changes over time (children, 49%; PW, 66%).

          Conclusions

          Multiple common drivers have contributed to the anaemia changes among children and pregnant women in India. Further improvements in these drivers can have population-level effects by simultaneously influencing both maternal and child anaemia.

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          Most cited references25

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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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            Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost?

            The Lancet, 382(9890), 452-477
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              The Global Burden of Anemia.

              Anemia is an important cause of health loss. We estimated levels and trends of nonfatal anemia burden for 23 distinct etiologies in 188 countries, 20 age groups, and both sexes from 1990 to 2013. All available population-level anemia data were collected and standardized. We estimated mean hemoglobin, prevalence of anemia by severity, quantitative disability owing to anemia, and underlying etiology for each population using the approach of the Global Burden of Disease, Injuries and Risk Factors 2013 Study. Anemia burden is high. Developing countries account for 89% of all anemia-related disability. Iron-deficiency anemia remains the dominant cause of anemia.
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                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2018
                19 October 2018
                : 3
                : 5
                : e001010
                Affiliations
                [1 ] departmentPoverty, Health, and Nutrition Division , International Food Policy Research Institute (IFPRI) , Washington, District of Columbia, USA
                [2 ] FHI360 , Hanoi, Vietnam
                Author notes
                [Correspondence to ] Dr Phuong Hong Nguyen; P.H.Nguyen@ 123456cgiar.org
                Article
                bmjgh-2018-001010
                10.1136/bmjgh-2018-001010
                6202996
                30397516
                733508df-ad0c-4c4b-9f8b-a5198435530b
                © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: http://creativecommons.org/licenses/by/4.0

                History
                : 14 June 2018
                : 19 August 2018
                : 10 September 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1150189
                Categories
                Research
                1506
                Custom metadata
                unlocked

                anaemia,child health,maternal health,nutrition,public health

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