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Updated: Oct 3, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
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Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

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Understanding income-related differences in distribution of child growth, behaviour and development using a

Anne Fuller1,2,3, Arjumand Siddiqi4,5, Faraz V Shahidi4,6

  • 1Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada anne.fuller@sickkids.ca.

BMJ Open
|February 16, 2022
PubMed

Insights

Children from low-income households face higher risks in health and development. Addressing income-related disparities in child health outcomes is crucial for targeted interventions.

Area of Science:

  • Pediatrics
  • Public Health
  • Health Equity

Background:

  • Children from low-income households experience increased risks for social, behavioral, and physical health issues.
  • Previous research often used limited outcome measures, potentially overlooking inequities across the full distribution of health indicators.

Purpose of the Study:

  • To investigate differences in the distribution of child health outcomes (body mass index, behavior, development) between high- and low-income groups.
  • To analyze how income influences the entire spectrum of child health indicators, not just extreme outcomes.

Main Methods:

  • Cross-sectional study utilizing data from a Canadian primary care research network.
  • Compared distributions of body mass index z-score, behavior difficulties (SDQ), and development (ITC) between income groups using distributional decomposition.
  • Constructed counterfactual distributions to estimate outcomes for low-income children if they had the characteristics of higher-income children.

Main Results:

  • Children with lower family incomes exhibited a higher risk distribution across all three health outcomes.
  • The counterfactual distributions for low-income children were more favorable than their observed distributions, indicating potential for improvement.
  • Significant differences in the distribution of BMI, behavior, and development were observed between income groups.

Conclusions:

  • Comparing outcome distributions provides a more nuanced understanding of child health inequities linked to socioeconomic status.
  • These distributional methods can inform the development of targeted interventions to mitigate health disparities in children.
  • Understanding the full range of health outcome distributions is essential for addressing child health inequities effectively.
Abstract

Keywords:
community child healthepidemiologypaediatricssocial medicine

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