Prevalence and Its Related Factors of Undernutrition among Under 5-Year-Old Children, Fars, Iran 2017-2018

Authors

  • Seyedeh-Masomeh Derakhshandeh-Rishehri DONALD Study Dortmund, Department of Nutritional Epidemiology, Institute of Nutrition and Food Science (IEL), University of Bonn, Dortmund, Germany
  • Azam Farmani Department of Community Nutrition, Shiraz University of Medical Science, Shiraz, Iran
  • Mina Zarmehrparirouy School of Paramedical Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Abdolrasool Hemmati Vice Chancellor of Health Assistance, Shiraz University of Medical Science, Shiraz, Iran
  • Shiva Faghih Department of Community Nutrition, Shiraz University of Medical Science, Shiraz, Iran
  • Razieh Shenavar Department of Community Nutrition, Shiraz University of Medical Science, Shiraz, Iran

DOI:

https://doi.org/10.18502/jnfs.v8i2.12592

Keywords:

Malnutrition; Children; Multilevel models

Abstract

Background: The present study aimed to investigate the prevalence and related factors of under-nutrition among under 5-year-old children in Fars province, Iran.

 Methods: This cross-sectional survey was conducted during 2017-2018 in Fars province of Iran. The study consisted of 606 children (0-59 months) from 13 regions of Fars province. A structured questionnaire collected the data, and under-nutrition indices, including stunting, wasting, and underweight, were investigated by the mixed-effects ordinal logistic regression model.

Results: The prevalence of stunting, underweight, and wasting were 2%, 4%, and 4.1%, respectively. Low birth weight was a risk factor for three undernutrition indices (P < 0.001; P < 0.001; and P = 0.004). Urban children were significantly more underweight and wasted than rural children (P = 0.001; and P = 0.002, respectively). Under-nutrition rates were impressed by the family size, mother's education, and father's occupation.

 Conclusion: The prevalence of undernutrition in children can be reduced by identifying and controlling significant factors, including birth weight, maternal education, type of settlement, family size, and father's occupation.

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Published

2023-05-01

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Articles