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      Nutritional status of children in India: household socio-economic condition as the contextual determinant

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          Abstract

          Background

          Despite recent achievement in economic progress in India, the fruit of development has failed to secure a better nutritional status among all children of the country. Growing evidence suggest there exists a socio-economic gradient of childhood malnutrition in India. The present paper is an attempt to measure the extent of socio-economic inequality in chronic childhood malnutrition across major states of India and to realize the role of household socio-economic status (SES) as the contextual determinant of nutritional status of children.

          Methods

          Using National Family Health Survey-3 data, an attempt is made to estimate socio-economic inequality in childhood stunting at the state level through Concentration Index (CI). Multi-level models; random-coefficient and random-slope are employed to study the impact of SES on long-term nutritional status among children, keeping in view the hierarchical nature of data.

          Main findings

          Across the states, a disproportionate burden of stunting is observed among the children from poor SES, more so in urban areas. The state having lower prevalence of chronic childhood malnutrition shows much higher burden among the poor. Though a negative correlation (r = -0.603, p < .001) is established between Net State Domestic Product (NSDP) and CI values for stunting; the development indicator is not always linearly correlated with intra-state inequality in malnutrition prevalence. Results from multi-level models however show children from highest SES quintile posses 50 percent better nutritional status than those from the poorest quintile.

          Conclusion

          In spite of the declining trend of chronic childhood malnutrition in India, the concerns remain for its disproportionate burden on the poor. The socio-economic gradient of long-term nutritional status among children needs special focus, more so in the states where chronic malnutrition among children apparently demonstrates a lower prevalence. The paper calls for state specific policies which are designed and implemented on a priority basis, keeping in view the nature of inequality in childhood malnutrition in the country and its differential characteristics across the states.

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          Most cited references19

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          Socioeconomic inequalities in child mortality: comparisons across nine developing countries.

          This paper generates and analyses survey data on inequalities in mortality among infants and children aged under five years by consumption in Brazil, Côte d'Ivoire, Ghana, Nepal, Nicaragua, Pakistan, the Philippines, South Africa, and Viet Nam. The data were obtained from the Living Standards Measurement Study and the Cebu Longitudinal Health and Nutrition Survey. Mortality rates were estimated directly where complete fertility histories were available and indirectly otherwise. Mortality distributions were compared between countries by means of concentration curves and concentration indices: dominance checks were carried out for all pairwise intercountry comparisons; standard errors were calculated for the concentration indices; and tests of intercountry differences in inequality were performed.
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            Inequities in under-five child malnutrition in South Africa

            Objectives To assess and quantify the magnitude of inequalities in under-five child malnutrition, particularly those ascribable to socio-economic status and to consider the policy implications of these findings. Methods Data on 3765 under-five children were derived from the Living Standards and Development Survey. Household income, proxied by per capita household expenditure, was used as the main indicator of socio-economic status. Socio-economic inequality in malnutrition (stunting, underweight and wasting) was measured using the illness concentration index. The concentration index was calculated for the whole sample, as well as for different population groups, areas of residence (rural, urban and metropolitan) and for each province. Results Stunting was found to be the most prevalent form of malnutrition in South Africa. Consistent with expectation, the rate of stunting is observed to be the highest in the Eastern Cape and the Northern Province – provinces with the highest concentration of poverty. There are considerable pro-rich inequalities in the distribution of stunting and underweight. However, wasting does not manifest gradients related to socio-economic position. Among White children, no inequities are observed in all three forms of malnutrition. The highest pro-rich inequalities in stunting and underweight are found among Coloured children and metropolitan areas. There is a tendency for high pro-rich concentration indices in those provinces with relatively lower rates of stunting and underweight (Gauteng and the Western Cape). Conclusion There are significant differences in under-five child malnutrition (stunting and underweight) that favour the richest of society. These are unnecessary, avoidable and unjust. It is demonstrated that addressing such socio-economic gradients in ill-health, which perpetuate inequalities in the future adult population requires a sound evidence base. Reliance on global averages alone can be misleading. Thus there is a need for evaluating policies not only in terms of improvements in averages, but also improvements in distribution. Furthermore, addressing problems of stunting and underweight, which are found to be responsive to improvements in household income status, requires initiatives that transcend the medical arena.
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              Use and interpretation of anthropometric indicators of nutritional status. WHO Working Group.

              (1985)
              Studies carried out during the last decade have led to a better understanding of the value of anthropometric indicators of nutritional status. The present report concentrates on data concerning 0-5-year-old children and examines the indices of weight and height and the biological significance of "wasting" and "stunting". The need for a reference population as well as for a standard or target is recognized and the advantages and disadvantages of local versus international reference populations are discussed. In the analysis of data, preference is given to the use of standard deviation (SD) scores and to the presentation of whole distributions. Cut-offs, for example -2SD, are needed for comparison of prevalences and for screening of populations. Sequential or serial measurements and the increasing use of growth velocities are discussed and their uses and difficulties are outlined.
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                Author and article information

                Journal
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central
                1475-9276
                2010
                11 August 2010
                : 9
                : 19
                Affiliations
                [1 ]Institute of Health Management Research (IIHMR), Jaipur, India
                [2 ]Future Health Systems India, Institue of Health Management Research, Kolkata, India
                [3 ]Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
                Article
                1475-9276-9-19
                10.1186/1475-9276-9-19
                2931515
                20701758
                bbf56982-a636-4263-a642-ddde1a3a25db
                Copyright ©2010 Kanjilal et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 October 2009
                : 11 August 2010
                Categories
                Research

                Health & Social care
                Health & Social care

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