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      Handwashing, sanitation and family planning practices are the strongest underlying determinants of child stunting in rural indigenous communities of Jharkhand and Odisha, Eastern India: a cross‐sectional study

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          Abstract

          The World Health Organisation has called for global action to reduce child stunting by 40% by 2025. One third of the world's stunted children live in India, and children belonging to rural indigenous communities are the worst affected. We sought to identify the strongest determinants of stunting among indigenous children in rural Jharkhand and Odisha, India, to highlight key areas for intervention.

          We analysed data from 1227 children aged 6–23.99 months and their mothers, collected in 2010 from 18 clusters of villages with a high proportion of people from indigenous groups in three districts. We measured height and weight of mothers and children, and captured data on various basic, underlying and immediate determinants of undernutrition. We used Generalised Estimating Equations to identify individual determinants associated with children's height‐for‐age z‐score (HAZ; p < 0.10); we included these in a multivariable model to identify the strongest HAZ determinants using backwards stepwise methods.

          In the adjusted model, the strongest protective factors for linear growth included cooking outdoors rather than indoors (HAZ +0.66), birth spacing ≥24 months (HAZ +0.40), and handwashing with a cleansing agent (HAZ +0.32). The strongest risk factors were later birth order (HAZ −0.38) and repeated diarrhoeal infection (HAZ −0.23).

          Our results suggest multiple risk factors for linear growth faltering in indigenous communities in Jharkhand and Odisha. Interventions that could improve children's growth include reducing exposure to indoor air pollution, increasing access to family planning, reducing diarrhoeal infections, improving handwashing practices, increasing access to income and strengthening health and sanitation infrastructure.

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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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            Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

            Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them
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                Author and article information

                Contributors
                jenny.c.saxton@gmail.com
                Journal
                Matern Child Nutr
                Matern Child Nutr
                10.1111/(ISSN)1740-8709
                MCN
                Maternal & Child Nutrition
                John Wiley and Sons Inc. (Hoboken )
                1740-8695
                1740-8709
                27 June 2016
                October 2016
                : 12
                : 4 ( doiID: 10.1111/mcn.2016.12.issue-4 )
                : 869-884
                Affiliations
                [ 1 ]UCL Institute for Global Health LondonUK
                [ 2 ]Ekjut Chakradharpur JharkhandIndia
                Author notes
                [*] [* ]Correspondence: Jennifer Saxton, UCL Institute for Global Health, 30 Guilford Street, London, UK. E‐mail: jenny.c.saxton@ 123456gmail.com .
                Article
                MCN12323 MCN-12-15-OA-1817.R2
                10.1111/mcn.12323
                5053246
                27350365
                7a411526-e396-4743-a0f2-6cf00a8527ad
                © 2016 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 December 2015
                : 11 March 2016
                : 11 March 2016
                Page count
                Figures: 2, Tables: 3, Pages: 16, Words: 9459
                Funding
                Funded by: Big Lottery Fund
                Award ID: IS/2/010281409
                Funded by: UK Medical Research Council
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                mcn12323
                mcn12323-hdr-0001
                October 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.4 mode:remove_FC converted:06.10.2016

                child stunting,indigenous communities,eastern india
                child stunting, indigenous communities, eastern india

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