IDEAS home Printed from https://ideas.repec.org/a/eee/ehbiol/v42y2021ics1570677x2100023x.html
   My bibliography  Save this article

Stunting, IQ, and final school attainment in the Cebu Longitudinal Health and Nutrition Survey birth cohort

Author

Listed:
  • Adair, Linda S.
  • Carba, Delia B.
  • Lee, Nanette R.
  • Borja, Judith B.

Abstract

School attainment is an important aspect of human capital, and a key determinant of long-term health and well-being. Early life deprivation and poor nutritional status are well known predictors of school entry and progression. We examine the persistence of early life influences and subsequent socioeconomic disadvantage (SED) across the multiple school continuation decisions that lead to final school attainment. Using data from a Philippine birth cohort followed for 35 years, we model 6 continuation decisions: Did not complete elementary school, elementary graduate only (completed grade 6), some secondary schooling, high school graduate, some postsecondary schooling, and college graduate, as well as total years of schooling. We estimate the association of school attainment with early life length for age Z-score (LAZ at 2 years of age) and cognitive development (IQ) as well as underlying indicators of SED and other family influences through early adulthood. The analysis sample includes >1900 participants in the Cebu Longitudinal Health and Nutrition Survey. Females completed, on average, one year more schooling than males, and twice as many females as males were college graduates (29.1 vs 15.0 %). LAZ and one standard deviation of IQ were each independently associated with 0.4 more years of attained schooling. A path model demonstrated strong direct associations of SED with years of schooling as well as indirect associations through LAZ and IQ. Sequential logits used to estimate continuing education decisions show persistent associations of early life LAZ and IQ and schooling even after accounting for changing SED of households over the schooling life course. Filipino parents had high but often unmet educational aspirations for their children because of the child’s loss of interest in school and perceived financial barriers. Results further emphasize the importance of early life SED as a key risk factor for suboptimal school attainment.

Suggested Citation

  • Adair, Linda S. & Carba, Delia B. & Lee, Nanette R. & Borja, Judith B., 2021. "Stunting, IQ, and final school attainment in the Cebu Longitudinal Health and Nutrition Survey birth cohort," Economics & Human Biology, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:ehbiol:v:42:y:2021:i:c:s1570677x2100023x
    DOI: 10.1016/j.ehb.2021.100999
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1570677X2100023X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ehb.2021.100999?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jere R. Behrman & Whitney Schott & Subha Mani & Benjamin T. Crookston & Kirk Dearden & Le Thuc Duc & Lia C. H. Fernald & Aryeh D. Stein, 2017. "Intergenerational Transmission of Poverty and Inequality: Parental Resources and Schooling Attainment and Children’s Human Capital in Ethiopia, India, Peru, and Vietnam," Economic Development and Cultural Change, University of Chicago Press, vol. 65(4), pages 657-697.
    2. Jere Behrman & John Hoddinott & John Maluccio & Erica Soler-Hampejsek & Emily Behrman & Reynaldo Martorell & Manuel Ramírez-Zea & Aryeh Stein, 2014. "What determines adult cognitive skills? Influences of pre-school, school, and post-school experiences in Guatemala," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-32, December.
    3. Liu, Haiyong & Mroz, Thomas & Adair, Linda, 2009. "Parental compensatory behaviors and early child health outcomes in Cebu, Philippines," Journal of Development Economics, Elsevier, vol. 90(2), pages 209-230, November.
    4. Glewwe, Paul & Jacoby, Hanan G. & King, Elizabeth M., 2001. "Early childhood nutrition and academic achievement: a longitudinal analysis," Journal of Public Economics, Elsevier, vol. 81(3), pages 345-368, September.
    5. Perkins, Jessica M. & Kim, Rockli & Krishna, Aditi & McGovern, Mark & Aguayo, Victor M. & Subramanian, S.V., 2017. "Understanding the association between stunting and child development in low- and middle-income countries: Next steps for research and intervention," Social Science & Medicine, Elsevier, vol. 193(C), pages 101-109.
    6. Dahly, Darren L. & Adair, Linda S., 2007. "Quantifying the urban environment: A scale measure of urbanicity outperforms the urban-rural dichotomy," Social Science & Medicine, Elsevier, vol. 64(7), pages 1407-1419, April.
    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. Joseph, George & Hoo, Yi Rong & Moqueet, Nazia Sultana & Chellaraj, Gnanaraj, 2023. "Early-life exposure to unimproved sanitation and delayed school enrollment: Evidence from Bangladesh," World Development Perspectives, Elsevier, vol. 32(C).
    2. Fooken, Jonas & Vo, Linh K., 2022. "Are stunted child – overweight mother pairs a real defined entity or a statistical artifact?," Economics & Human Biology, Elsevier, vol. 47(C).

    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. Ayllón, Sara & Ferreira-Batista, Natalia N., 2015. "‘Mommy, I miss daddy’. The effect of family structure on children's health in Brazil," Economics & Human Biology, Elsevier, vol. 19(C), pages 75-89.
    2. Escobal, Javier & Flores, Eva, 2009. "Maternal Migration and Child Well-Being in Peru," MPRA Paper 56463, University Library of Munich, Germany.
    3. Sudhanshu Handa & Amber Peterman, 2016. "Is There Catch-Up Growth? Evidence from Three Continents," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 470-500, August.
    4. Javier Escobal & Eva Flores, 2009. "Maternal Migration and Child Well-being in Peru(Migración materna y bienestar infantil en el Perú)," Documentos de Trabajo (Niños del Milenio-GRADE) ninosm56, Niños del Milenio (Young Lives).
    5. Harold Alderman & John Hoddinott & Bill Kinsey, 2006. "Long term consequences of early childhood malnutrition," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 450-474, July.
    6. Belot, Michèle & James, Jonathan, 2011. "Healthy school meals and educational outcomes," Journal of Health Economics, Elsevier, vol. 30(3), pages 489-504, May.
    7. World Bank, 2007. "Sri Lanka - Poverty Assessment : Engendering Growth with Equity, Opportunities and Challenges," World Bank Publications - Reports 8050, The World Bank Group.
    8. Sanchez, Alan & Favara, Marta & Sheridan, Margaret & Behrman, Jere R., 2022. "How Early Nutrition and Foundational Cognitive Skills Interconnect? Evidence from Two Developing Countries," IZA Discussion Papers 15818, Institute of Labor Economics (IZA).
    9. Hanna Karg & Rafael Hologa & Johannes Schlesinger & Axel Drescher & Gordana Kranjac-Berisavljevic & Rüdiger Glaser, 2019. "Classifying and Mapping Periurban Areas of Rapidly Growing Medium-Sized Sub-Saharan African Cities: A Multi-Method Approach Applied to Tamale, Ghana," Land, MDPI, vol. 8(3), pages 1-22, February.
    10. Yanrong Liu & Xuecun Zhao, 2022. "Does Food Insecurity in Early Life Make People More Depressed?—Evidence from CHARLS," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    11. Christopher B. Barrett & John G. McPeak, 2006. "Poverty Traps and Safety Nets," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Alain Janvry & Ravi Kanbur (ed.), Poverty, Inequality and Development, chapter 0, pages 131-154, Springer.
    12. Elisabetta De Cao, 2015. "The Height Production Function from Birth to Age Two," Journal of Human Capital, University of Chicago Press, vol. 9(3), pages 329-363.
    13. Rashesh Shrestha, 2019. "Early Life Exposure to Air Pollution, Cognitive Development, and Labor Market Outcome," Asian Economic Papers, MIT Press, vol. 18(2), pages 77-95, Summer.
    14. Sonchak, Lyudmyla, 2015. "Medicaid reimbursement, prenatal care and infant health," Journal of Health Economics, Elsevier, vol. 44(C), pages 10-24.
    15. Jere R. Behrman, 2019. "Human capital and social mobility in low- and middle-income countries," WIDER Working Paper Series wp-2019-85, World Institute for Development Economic Research (UNU-WIDER).
    16. Daniela Casale, 2016. "Analysing the links between child health and education outcomes: Evidence from NIDS Waves 1 – 4," SALDRU Working Papers 179, Southern Africa Labour and Development Research Unit, University of Cape Town.
    17. Sánchez, Alan & Favara, Marta & Sheridan, Margaret & Behrman, Jere, 2024. "Does early nutrition predict cognitive skills during later childhood? Evidence from two developing countries," World Development, Elsevier, vol. 176(C).
    18. Fujii, Tomoki & Shonchoy, Abu S. & Xu, Sijia, 2018. "Impact of Electrification on Children’s Nutritional Status in Rural Bangladesh," World Development, Elsevier, vol. 102(C), pages 315-330.
    19. Handa, Sudhanshu & Davis, Benjamin, 2006. "The experience of conditional cash transfers in Latin America and the Caribbean," ESA Working Papers 289060, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    20. Janet Currie & Tom Vogl, 2013. "Early-Life Health and Adult Circumstance in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 1-36, May.

    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:eee:ehbiol:v:42:y:2021:i:c:s1570677x2100023x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    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.