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Analyzing Children's Weight Growth Variations and Associated Factors in Ethiopia, India, Peru, and Vietnam: Using

Alemayehu Siffir Argawu1, B Muniswamy1, B Punyavathi1

  • 1Department of Statistics, College of Science and Technology, Andhra University, India.

Ethiopian Journal of Health Sciences
|July 3, 2024
PubMed

Insights

Children's weight growth varies significantly by country, sex, and location. Factors like parental education and access to resources impact this growth, necessitating monitoring for future health interventions.

Area of Science:

  • Pediatric Growth and Development
  • Longitudinal Cohort Studies
  • Biostatistics and Statistical Modeling

Background:

  • Childhood growth is a critical determinant of long-term health outcomes.
  • Accurate modeling of weight growth requires accounting for repeated measures within subjects.
  • Understanding variations in child weight trajectories is essential for public health.

Purpose of the Study:

  • To analyze variations in children's weight growth across Ethiopia, India, Peru, and Vietnam.
  • To identify factors associated with longitudinal weight changes in children.
  • To apply a fractional polynomial mixed-effects model for robust analysis.

Main Methods:

  • Utilized longitudinal data from the Young Lives Cohort Study (2002-2016).
  • Included 7,140 children aged 1 to 15 years.
  • Employed a fractional polynomial mixed-effects model for data analysis.

Main Results:

  • Ethiopian, Peruvian, and Vietnamese children exhibited higher average body weights than Indian children.
  • Girls and rural children had significantly lower average body weights compared to boys and urban children, respectively.
  • Weight change rates differed by country and residence, with urban children showing higher weight gain.

Conclusions:

  • Children's longitudinal weight growth is influenced by country, sex, residence, parental education, household factors, and access to utilities.
  • The World Health Organization and national health ministries should monitor child weight growth and associated determinants.
  • This monitoring is crucial for effective planning of future public health interventions.
Abstract

Keywords:
ChildrenGrowth RateLinear Mixed-Effects ModeWeight Growth

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