A structural equation modeling approach to examine determinants of nutritional status in Palestinian children 6-59

Ghada Issa1, Radwan Qasrawi1,2, Suliman Thwib1

  • 1Department of Computer Sciences, Al Quds University, Jerusalem, Palestine.

Plos One
|September 8, 2025
PubMed

Insights

Child growth in Palestine is significantly impacted by macronutrient intake, socioeconomic status, and neonatal health. Interventions should address dietary quality and broader social factors for better nutritional outcomes.

Area of Science:

  • Public Health
  • Nutrition Science
  • Developmental Pediatrics

Background:

  • Child undernutrition is a major public health issue in Palestine.
  • Socioeconomic and dietary factors significantly influence child growth.
  • This study investigates determinants of child growth in the West Bank.

Purpose of the Study:

  • To explore direct and indirect determinants of child growth using Structural Equation Modeling (SEM).
  • To analyze pathways influencing nutritional status in children aged 6-59 months.

Main Methods:

  • Cross-sectional survey of 300 children from 1,400 households in the West Bank (2022).
  • Assessed child growth via anthropometric indicators (HAZ, WAZ, MUAC) and dietary adequacy (MNIR).
  • Utilized SEM to examine interrelationships between socioeconomic status, food insecurity, dietary intake, feeding practices, neonatal health, and food availability.

Main Results:

  • Macronutrient intake, socioeconomic status, and neonatal health had the strongest direct effects on child growth.
  • Infant feeding practices and micronutrient intake showed positive indirect effects.
  • Food availability mediated the link between access issues and poor dietary diversity/feeding behavior.

Conclusions:

  • Child nutrition in Palestine is influenced by interconnected factors: dietary intake, caregiver practices, food access, and early-life health.
  • Interventions must target nutritional quality and the socio-environmental context for improved growth.
  • SEM provides a robust framework for understanding these complex pathways and informing policy.
Abstract

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