IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i13p4702-d378319.html
   My bibliography  Save this article

Stunting among Preschool Children in India: Temporal Analysis of Age-Specific Wealth Inequalities

Author

Listed:
  • Sunil Rajpal

    (Institute of Health Management Research, IIHMR University, Jaipur 302029, India)

  • Rockli Kim

    (Division of Health Policy and Management, College of Health Sciences, Korea University, Seoul 02841, Korea
    Department of Public Health Sciences, Graduate School, Korea University, Seoul 02841, Korea
    Harvard Center for Population and Development Studies, Cambridge, MA 02138, USA)

  • William Joe

    (Population Research Centre, Institute of Economic Growth, Delhi 110007, India)

  • S.V. Subramanian

    (Harvard Center for Population and Development Studies, Cambridge, MA 02138, USA
    Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA)

Abstract

Adequate nutritional intake for mothers during pregnancy and for children in the first two years of life is known to be crucial for a child’s lifelong physical and neurodevelopment. In this regard, the global nutrition community has focused on strategies for improving nutritional intake during the first 1000 day period. This is largely justified by the observed steep decline in children’s height-for-age z scores from birth to 23 months and presumed growth faltering at later ages as a reflection of earlier deprivation that is accumulated and irreversible. Empirical evidence on the age-stratified burden of child undernutrition is needed to re-evaluate the appropriate age for nutrition interventions to target among children. Using data from two successive rounds of National Family Health Surveys conducted in 2006 and 2016, the objective of this paper was to analyze intertemporal changes in the age-stratified burden of child stunting across socioeconomic groups in India. We found that child stunting in India was significantly concentrated among children entering preschool age (24 or above months). Further, the temporal reduction in stunting was relatively higher among children aged 36–47 months compared to younger groups (below 12 and 12–23 months). Greater socioeconomic inequalities persisted in stunting among children from 24 months or above age-groups, and these inequalities have increased over time. Children of preschool age (24 or above months) from economically vulnerable households experienced larger reductions in the prevalence of stunting between 2006 and 2016, suggesting that policy research and strategies beyond the first 1000 days could be critical for accelerating the pace of improvement of child nutrition in India.

Suggested Citation

  • Sunil Rajpal & Rockli Kim & William Joe & S.V. Subramanian, 2020. "Stunting among Preschool Children in India: Temporal Analysis of Age-Specific Wealth Inequalities," IJERPH, MDPI, vol. 17(13), pages 1-16, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4702-:d:378319
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/13/4702/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/13/4702/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Corsi, Daniel J. & Mejía-Guevara, Iván & Subramanian, S.V., 2016. "Risk factors for chronic undernutrition among children in India: Estimating relative importance, population attributable risk and fractions," Social Science & Medicine, Elsevier, vol. 157(C), pages 165-185.
    2. Kim, Rockli & Mejía-Guevara, Iván & Corsi, Daniel J. & Aguayo, Víctor M. & Subramanian, S.V., 2017. "Relative importance of 13 correlates of child stunting in South Asia: Insights from nationally representative data from Afghanistan, Bangladesh, India, Nepal, and Pakistan," Social Science & Medicine, Elsevier, vol. 187(C), pages 144-154.
    3. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shiva S. Halli & Rajeshwari A. Biradar & Jang Bahadur Prasad, 2022. "Low Birth Weight, the Differentiating Risk Factor for Stunting among Preschool Children in India," IJERPH, MDPI, vol. 19(7), pages 1-12, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Rockli & Rajpal, Sunil & Joe, William & Corsi, Daniel J. & Sankar, Rajan & Kumar, Alok & Subramanian, S.V., 2019. "Assessing associational strength of 23 correlates of child anthropometric failure: An econometric analysis of the 2015-2016 National Family Health Survey, India," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    2. Suman Chakrabarti & Samuel P. Scott & Harold Alderman & Purnima Menon & Daniel O. Gilligan, 2021. "Intergenerational nutrition benefits of India’s national school feeding program," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    3. Purushotham, Anjali & Mittal, Nitya & Ashwini, B.C. & Umesh, K.B. & von Cramon-Taubadel, Stephan & Vollmer, Sebastian, 2022. "A quantile regression analysis of dietary diversity and anthropometric outcomes among children and women in the rural–urban interface of Bangalore, India," Food Policy, Elsevier, vol. 107(C).
    4. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    5. Angus Deaton & Jean Dreze, 2008. "Nutrition in India: Facts and Interpretations," Working Papers 1071, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    6. Cornelie Nienaber-Rousseau & Olusola F. Sotunde & Patricia O. Ukegbu & P. Hermanus Myburgh & Hattie H. Wright & Lize Havemann-Nel & Sarah J. Moss & Iolanthé M. Kruger & H. Salomé Kruger, 2017. "Socio-Demographic and Lifestyle Factors Predict 5-Year Changes in Adiposity among a Group of Black South African Adults," IJERPH, MDPI, vol. 14(9), pages 1-16, September.
    7. Kumar, Kaushalendra & Shukla, Ankita & Singh, Abhishek & Ram, Faujdar & Kowal, Paul, 2016. "Association between wealth and health among older adults in rural China and India," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 43-52.
    8. Winters, P. & Kafle, K. & Benfica, R., 2018. "IFAD RESEARCH SERIES 21 - Does relative deprivation induce migration? Evidence from sub-Saharan Africa," IFAD Research Series 280070, International Fund for Agricultural Development (IFAD).
    9. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    10. Ravi Prakash & Abhishek Singh, 2014. "Who Marries Whom? Changing Mate Selection Preferences in Urban India and Emerging Implications on Social Institutions," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(2), pages 205-227, April.
    11. Samikshya Poudel & Timothy Dobbins & Husna Razee & Blessing Akombi-Inyang, 2023. "Adolescent Pregnancy in South Asia: A Pooled Analysis of Demographic and Health Surveys," IJERPH, MDPI, vol. 20(12), pages 1-14, June.
    12. Tuccio, Michele & Wahba, Jackline & Hamdouch, Bachir, 2016. "International Migration: Driver of Political and Social Change?," IZA Discussion Papers 9794, Institute of Labor Economics (IZA).
    13. Pritchett, Lant & Sumarto, Sudarno & Suryahadi, Asep, 2001. "Targeted Programs in an Economic Crisis: Empirical Findings from Indonesia’s Experience," MPRA Paper 58727, University Library of Munich, Germany.
    14. Derek Headey & David Stifel & Liangzhi You & Zhe Guo, 2018. "Remoteness, urbanization, and child nutrition in sub‐Saharan Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 765-775, November.
    15. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    16. Laetitia Duval & François-Charles Wolff, 2016. "Emigration intentions of Roma: evidence from Central and South-East Europe," Post-Communist Economies, Taylor & Francis Journals, vol. 28(1), pages 87-107, January.
    17. Antonia Grohmann & Lukas Menkhoff & Helke Seitz, 2022. "The Effect of Personalized Feedback on Small Enterprises’ Finances in Uganda," Economic Development and Cultural Change, University of Chicago Press, vol. 70(3), pages 1197-1227.
    18. Paschalis Arvanitidis & Athina Economou & Christos Kollias, 2016. "Terrorism’s effects on social capital in European countries," Public Choice, Springer, vol. 169(3), pages 231-250, December.
    19. Christopher H. Herbst & Monique Vledder & Karen Campbell & Mirja Sjöblom & Agnes Soucat, 2011. "The Human Resources for Health Crisis in Zambia : An Outcome of Health Worker Entry, Exit, and Performance within the National Health Labor Market," World Bank Publications - Books, The World Bank Group, number 5938, December.
    20. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4702-:d:378319. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.