Literature DB >> 29316992

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

Mesbah Fathy Sharaf1, Elhussien Ibrahim Mansour2, Ahmed Shoukry Rashad3.   

Abstract

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.

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Year:  2018        PMID: 29316992     DOI: 10.1017/S0021932017000633

Source DB:  PubMed          Journal:  J Biosoc Sci        ISSN: 0021-9320


  8 in total

1.  Application of quantile regression to examine changes in the distribution of Height for Age (HAZ) of Indian children aged 0-36 months using four rounds of NFHS data.

Authors:  Thirupathi Reddy Mokalla; Vishnu Vardhana Rao Mendu
Journal:  PLoS One       Date:  2022-05-27       Impact factor: 3.752

2.  Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014).

Authors:  Tahir Mahmood; Faisal Abbas; Ramesh Kumar; Ratana Somrongthong
Journal:  BMC Public Health       Date:  2020-06-17       Impact factor: 3.295

3.  Prevalence of short stature and malnutrition among Egyptian primary school children and their coexistence with Anemia.

Authors:  Ali M El-Shafie; Zeinab A Kasemy; Zein A Omar; Safa H Alkalash; Amal A Salama; Kerollos S Mahrous; Shaimaa M Hewedy; Nessreen M Kotb; Heba S Abd El-Hady; Eman S Eladawy; Mohamed A Zeid; Manar E Abd El Hamid; Emad H Hemeda; Mohamed A El-Shafie; Esraa A El-Meligy; Wael A Bahbah
Journal:  Ital J Pediatr       Date:  2020-06-29       Impact factor: 2.638

4.  The prevalence of stunting among children and adolescents living in the Middle East and North Africa region (MENA): A systematic review and meta-analysis.

Authors:  Hassan Joulaei; Parisa Keshani; Mahkameh Ashourpour; Peyman Bemani; Sanaz Amiri; Jamileh Rahimi; Mohsen Aliakbarpour; Amin Salehi-Abargouei
Journal:  J Glob Health       Date:  2021-12-25       Impact factor: 4.413

5.  Prevalence and determinants of nutritional status among women and children in Pakistan.

Authors:  Hanumant Waghmare; Shekhar Chauhan; Santosh Kumar Sharma
Journal:  BMC Public Health       Date:  2022-04-15       Impact factor: 4.135

6.  Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression.

Authors:  Umesh Prasad Bhusal; Vishnu Prasad Sapkota
Journal:  Global Health       Date:  2022-04-20       Impact factor: 10.401

7.  Poor and non-poor gap in under-five child nutrition: a case from Nepal using Blinder-Oaxaca decomposition approach.

Authors:  Umesh Prasad Bhusal
Journal:  BMC Health Serv Res       Date:  2022-10-12       Impact factor: 2.908

8.  Cardiovascular Health Peaks and Meteorological Conditions: A Quantile Regression Approach.

Authors:  Yohann Moanahere Chiu; Fateh Chebana; Belkacem Abdous; Diane Bélanger; Pierre Gosselin
Journal:  Int J Environ Res Public Health       Date:  2021-12-16       Impact factor: 3.390

  8 in total

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