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Growth curves of preschool children in the northeast of iran: a population based study using quantile regression

Abolfazl Payande1, Hamed Tabesh, Mohammad Taghi Shakeri

  • 1Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Global Journal of Health Science
|April 27, 2013
PubMed

Insights

This study developed new weight-for-age growth charts for Iranian children aged 0-5 years. Local charts are essential as Iranian children’s growth patterns differ from international references, identifying at-risk populations.

Area of Science:

  • Pediatrics
  • Public Health
  • Biostatistics

Background:

  • Growth charts are vital for monitoring child development and identifying growth deviations.
  • Existing international growth references may not accurately reflect the growth patterns of specific regional populations.
  • Assessing children's growth status requires accurate and applicable methodologies.

Purpose of the Study:

  • To construct localized weight-for-age growth charts and normal values for children aged 0 to 5 years in Northeast Iran.
  • To compare the derived growth charts with World Health Organization (WHO) references and the LMS method.
  • To evaluate the applicability of quantile regression for estimating growth curves.

Main Methods:

  • A large cohort of 70,737 apparently healthy children (0-5 years) was surveyed.
  • Anthropometric measurements were collected using standardized WHO methodology.
  • Nonparametric quantile regression with local constant kernel estimation was employed.

Main Results:

  • Weight-for-age growth curves were generated for boys and girls aged 0-5 years in Northeast Iran.
  • Median weight values for Iranian children were lower than WHO reference data across all age groups.
  • Boys exhibited higher weight curves than girls in all age categories.

Conclusions:

  • Growth patterns in Northeast Iranian children differ significantly from international standards, necessitating local growth charts.
  • International references may fail to identify growth issues in Iranian children.
  • Quantile regression offers a flexible and robust method for establishing regional growth references.
Abstract

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