IDEAS home Printed from https://ideas.repec.org/p/ags/fcnddp/16459.html

Socio-Economic Differentials In Child Stunting Are Constently Larger In Urban Than Rural Areas

Author

Listed:
  • Menon, Purnima
  • Ruel, Marie T.
  • Morris, Saul Sutkover

Abstract

Urban-rural comparisons of childhood undernutrition suggest that urban populations are better-off than rural populations. However, these comparisons could mask the large differentials that exist among socioeconomic groups in urban areas. Data from the Demographic and Health Surveys (DHS) for 11 countries from three regions were used to test the hypothesis that intra-urban differentials in child stunting were greater than intra-rural differentials, and that the prevalence of stunting among the urban and the rural poor was equally high. A socioeconomic status (SES) index based on household assets, housing quality, and availability of services was created separately for rural and urban areas of each country, using principal components analysis. Odds ratios (OR) were computed to estimate the magnitude of differentials in stunting (height-for-age Z-scores < −2) between urban and rural areas and between the lowest and highest SES quintiles within areas. The prevalence of stunting was lower in urban than in rural areas for all countries, but rural-urban ORs were relatively small (< 3.3). As hypothesized, the gap between low and high SES was markedly larger in urban (median OR = 4) than rural (median OR = 1.8) areas, and differences were statistically significant (interaction between area and SES in logistic regression) in all but three countries. Within-urban ORs as high as 10 were found in Peru and the Dominican Republic, whereas within-rural ORs were smaller than 3.5, except in Brazil. In most countries, stunting in the poorest urban quintile was almost on par with that of poor rural dwellers. Thus, malnutrition in urban areas continues to be of concern, and effective targeting of nutrition programs to the poorest segments of the urban population will be critical to their success and cost-effectiveness.

Suggested Citation

  • Menon, Purnima & Ruel, Marie T. & Morris, Saul Sutkover, 2000. "Socio-Economic Differentials In Child Stunting Are Constently Larger In Urban Than Rural Areas," FCND Discussion Papers 16459, CGIAR, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:ags:fcnddp:16459
    DOI: 10.22004/ag.econ.16459
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/16459/files/tm000097.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.16459?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Mulubrhan Amare & Channing Arndt & Kibrom A Abay & Todd Benson, 2020. "Urbanization and Child Nutritional Outcomes," The World Bank Economic Review, World Bank, vol. 34(1), pages 63-74.
    2. Gupta, Soumya & Seth, Payal & Vemireddy, Vidya & Pingali, Prabhu, 2024. "Women’s empowerment and intra-household diet diversity across the urban continuum: Evidence from India’s DHS," Food Policy, Elsevier, vol. 128(C).
    3. Ernesto Cardenas & Ana María Osorio & Orlando Joaqui Barandica & Sayda Milena Pico Fonseca, 2022. "Mind the Gap! Socioeconomic Determinants of the Stunting Urban-Rural Gap for Children in Colombia," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(2), pages 415-432, April.
    4. Abhishek Kumar & Aditya Singh, 2013. "Decomposing the Gap in Childhood Undernutrition between Poor and Non–Poor in Urban India, 2005–06," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-9, May.
    5. David Coady & Emmanuel Skoufias, 2004. "On the Targeting and Redistributive Efficiencies of Alternative Transfer Instruments," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(1), pages 11-27, March.
    6. Arimond, Mary & Ruel, Marie T., 2002. "Progress In Developing An Infant And Child Feeding Index: An Example Using The Ethiopia Demographic And Health Survey 2000," Discussion Paper Briefs 15923, CGIAR, International Food Policy Research Institute (IFPRI).
    7. Md. Ahshanul Haque & Barbie Zaman Wahid & Md. Tariqujjaman & Mansura Khanam & Fahmida Dil Farzana & Mohammad Ali & Farina Naz & Kazi Istiaque Sanin & ASG Faruque & Tahmeed Ahmed, 2022. "Stunting Status of Ever-Married Adolescent Mothers and Its Association with Childhood Stunting with a Comparison by Geographical Region in Bangladesh," IJERPH, MDPI, vol. 19(11), pages 1-12, May.
    8. Agee, Mark D., 2010. "Reducing child malnutrition in Nigeria: Combined effects of income growth and provision of information about mothers' access to health care services," Social Science & Medicine, Elsevier, vol. 71(11), pages 1973-1980, December.
    9. Sylvia Szabo & Sabu Padmadas & Jane Falkingham, 2018. "Is Rapid Urbanisation Exacerbating Wealth-Related Urban Inequalities in Child Nutritional Status? Evidence from Least Developed Countries," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(4), pages 630-651, September.
    10. Hoddinott, John & Adato, Michelle & Besley, Timothy & Haddad, Lawrence James, 2001. "Participation And Poverty Reduction: Issues, Theory, And New Evidence From South Africa," Discussion Paper Briefs 15973, CGIAR, International Food Policy Research Institute (IFPRI).
    11. Ruel, Marie T. & Garrett, James L., 2004. "Features of Urban Food and Nutrition Security and Considerations for Successful Urban Programming," eJADE: electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations (FAO), Agricultural and Development Economics Division (ESA), vol. 1(2), pages 1-30.
    12. Ruel, Marie T. & Garrett, James L., 2004. "Features of Urban Food and Nutrition Security and Considerations for Successful Urban Programming," eJADE: electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations (FAO), Agricultural and Development Economics Division (ESA), vol. 1(2), pages 1-30.
    13. Ruel, Marie T. & Menon, Purnima, 2002. "Creating a child feeding index using the demographic and health surveys: an example from Latin America," FCND discussion papers 130, International Food Policy Research Institute (IFPRI).
    14. Mesbah Fathy Sharaf & Ahmed Shoukry Rashad, 2016. "Regional inequalities in child malnutrition in Egypt, Jordan, and Yemen: a Blinder-Oaxaca decomposition analysis," Health Economics Review, Springer, vol. 6(1), pages 1-11, December.
    15. Prashant Kumar Singh & Rajesh Kumar Rai & Lucky Singh, 2012. "Examining the Effect of Household Wealth and Migration Status on Safe Delivery Care in Urban India, 1992–2006," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-12, September.
    16. Zereyesus, Yacob & Ross, Kara & Shanoyan, Aleksan & Amanor-Boadu, Vincent, 2014. "Children First: Understanding Children’s Well-Being in Northern Ghana," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170653, Agricultural and Applied Economics Association.
    17. Claus C. Pörtner & Yu-hsuan Su, 2018. "Differences in Child Health Across Rural, Urban, and Slum Areas: Evidence From India," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 223-247, February.
    18. Abay, Kibrom A. & Amare, Mulubrhan, 2018. "Night light intensity and women’s body weight: Evidence from Nigeria," Economics & Human Biology, Elsevier, vol. 31(C), pages 238-248.
    19. Smith, Lisa C. & Ruel, Marie T. & Ndiaye, Aida, 2005. "Why Is Child Malnutrition Lower in Urban Than in Rural Areas? Evidence from 36 Developing Countries," World Development, Elsevier, vol. 33(8), pages 1285-1305, August.
    20. Simmons, Cynthia & Walker, Robert & Perz, Stephen & Aldrich, Stephen & Caldas, Marcellus & Pereira, Ritaumaria & Leite, Flavia & Fernandes, Luiz Claudio & Arima, Eugenio, 2010. "Doing it for Themselves: Direct Action Land Reform in the Brazilian Amazon," World Development, Elsevier, vol. 38(3), pages 429-444, March.
    21. Ben Crow & Nichole Zlatunich & Brian Fulfrost, 2009. "Mapping global inequalities: Beyond income inequality to multi-dimensional inequalities," Journal of International Development, John Wiley & Sons, Ltd., vol. 21(8), pages 1051-1065.
    22. repec:plo:pone00:0030345 is not listed on IDEAS
    23. Ameye, Hannah & De Weerdt, Joachim, 2020. "Child health across the rural–urban spectrum," World Development, Elsevier, vol. 130(C).

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:ags:fcnddp:16459. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    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.