Skip to main content
×
×
Home

CHILD NUTRITIONAL STATUS IN EGYPT: A COMPREHENSIVE ANALYSIS OF SOCIOECONOMIC DETERMINANTS USING A QUANTILE REGRESSION APPROACH

  • Mesbah Fathy Sharaf (a1) (a2), Elhussien Ibrahim Mansour (a3) and Ahmed Shoukry Rashad (a4)
Summary

This study examined the underlying demographic and socioeconomic determinants of child nutritional status in Egypt using data from the most recent round of the Demographic and Health Survey. The height-for-age Z-score (HAZ) was used as a measure of child growth. A quantile regression approach was used to allow for a heterogeneous effect of each determinant along different percentiles of the conditional distribution of the HAZ. A nationally representative sample of 13,682 children aged 0–4 years was drawn from the 2014 Egypt DHS. The multivariate analyses included a set of HAZ determinants commonly used in the literature. The conditional and unconditional analyses revealed a socioeconomic gradient in child nutritional status, in which children of low income/education households have a worse HAZ than those from high income/education households. The results also showed significant disparities in child nutritional status by demographic and social characteristics. The quantile regression results showed that the association between the demographic and socioeconomic factors and HAZ differed along the conditional HAZ distribution. Intervention measures need to consider the heterogeneous effect of the determinants of child nutritional status along the different percentiles of the HAZ distribution. There is no one-size-fits-all policy to combat child malnutrition; a multifaceted approach and targeted policy interventions are required to address this problem effectively.

Copyright
Corresponding author
1 Corresponding author. Email: sharaf@ualberta.ca
References
Hide All
Akee, R., Simeonova, E., Copeland, W., Angold, A. & Costello, J. E. (2013) Young adult obesity and household income: effects of unconditional cash transfers. American Economic Journal: Applied Economics 5(2), 128.
Bassolé, L. (2007) Child malnutrition in Senegal: does access to public infrastructure really matter? A quantile regression analysis. Paper presented at the African Economic Conference: Opportunities and Challenges of Development for Africa in the Global Arena, Addis Ababa, Ethiopia, November 2007, Vol. 1517.
Bomela, N. J. (2009) Social, economic, health and environmental determinants of child nutritional status in three Central Asian Republics. Public Health Nutrition 12(10), 18711877.
Cawley, J. & Liu, F. (2012) Maternal employment and childhood obesity: a search for mechanisms in time use data. Economics & Human Biology 10(4), 352364.
Chen, Y. & Li, H. (2009) Mother’s education and child health: is there a nurturing effect? Journal of Health Economics 28(2), 413426.
De Haen, H., Klasen, S. & Qaim, M. (2011) What do we really know? Metrics for food insecurity and undernutrition. Food Policy 36(6), 760769.
Fenske, N., Burns, J., Hothorn, T. & Rehfuess, E. A. (2013) Understanding child stunting in India: a comprehensive analysis of socio-economic, nutritional and environmental determinants using additive quantile regression. PloS One 8(11), e78692.
Kabubo-Mariara, J., Ndenge, G. K. & Mwabu, D. K. (2009) Determinants of children’s nutritional status in Kenya: evidence from Demographic and Health Surveys. Journal of African Economies 18(3), 363387.
Lakdawalla, D. & Philipson, T. (2009) The growth of obesity and technological change. Economics & Human Biology 7(3), 283293.
Liu, H., Fang, H. & Zhao, Z. (2013) Urban–rural disparities of child health and nutritional status in China from 1989 to 2006. Economics & Human Biology 11(3), 294309.
Mazumdar, S. (2010) Determinants of inequality in child malnutrition in India: the poverty–undernutrition linkage. Asian Population Studies 6(3), 307333.
Ministry of Health and Population, El-Zanaty and Associates & ICF International. (2015) Egypt Demographic and Health Survey 2014. Ministry of Health and Population, Cairo, Egypt, and ICF International, Rockville, MD, USA.
O’Donnell, O. A., Wagstaff, A. et al. (2008) Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and their Implementation. World Bank Publications, Washington, DC.
Philipson, T. J. & Posner, R. A. (2003) The Long-run growth in obesity as a function of technological change. Perspectives in Biology and Medicine 46(3), S87S107.
Rashad, A. S. & Sharaf, M. F. (2016) Economic growth and child malnutrition in Egypt? New evidence from national Demographic and Health Survey. Social Indicators Research, doi: 10.1007/s11205-016-1515-y.
Rashad, A. & Sharaf, M. (2017) Does maternal employment affect child nutrition status? New evidence from Egypt. University of Alberta Working Paper No. 2017-7.
Rashad, A. S. & Sharaf, M. F. (2015a) Catastrophic and impoverishing effects of out-of-pocket health expenditure: new evidence from Egypt. American Journal of Economics 5(5), 526533.
Rashad, A. S. & Sharaf, M. F. (2015b) Catastrophic economic consequences of healthcare payments: effects on poverty estimates in Egypt, Jordan, and Palestine. Economies 3(4), 216234.
Sharaf, M. F. & Rashad, A. S. (2016) Regional inequalities in child malnutrition in Egypt, Jordan, and Yemen: a Blinder–Oaxaca decomposition analysis. Health Economics Review 6(1), 23.
Sharaf, M. F. & Rashad, A. S (2017) Socioeconomic inequalities in infant mortality in Egypt: analyzing trends between 1995 and 2014. Social Indicators Research, doi.org/ 10.1007/s11205-017-1631-3.
Sweeney, S., Davenport, F. & Grace, K. (2013) Combining insights from quantile and ordinal regression: child malnutrition in Guatemala. Economics & Human Biology 11(2), 164177.
United Nations Children’s Fund. (2013) Improving Child Nutrition: The Achievable Imperative for Global Progress. UNICEF, New York.
United Nations Children’s Fund, WHO & The World Bank. (2012) World Bank Joint Child Malnutrition Estimates. UNICEF, New York, WHO, Geneva, and World Bank, Washington, DC.
Wamani, H., Åstrøm, A., Peterson, S., Tumwine, J. K. & Tylleskär, T. (2007) Boys are more stunted than girls in sub-Saharan Africa: a meta-analysis of 16 demographic and health surveys. BMC Pediatrics 7(1), 1.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Journal of Biosocial Science
  • ISSN: 0021-9320
  • EISSN: 1469-7599
  • URL: /core/journals/journal-of-biosocial-science
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Full text views

Total number of HTML views: 10
Total number of PDF views: 60 *
Loading metrics...

Abstract views

Total abstract views: 361 *
Loading metrics...

* Views captured on Cambridge Core between 10th January 2018 - 28th May 2018. This data will be updated every 24 hours.