Misclassification of child body mass index from cut-points defined by rounded percentiles instead of Z-scores

Laura N Anderson1,2, Sarah Carsley3,4, Gerald Lebovic5,4

  • 1Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8N 3Z5, Canada. LN.Anderson@mcmaster.ca.

BMC Research Notes
|November 30, 2017
PubMed

Insights

Using rounded percentiles instead of Z-scores for body mass index (BMI) misclassifies child growth. This impacts accurate identification of children who are wasted or obese, affecting study comparability.

Area of Science:

  • Pediatric Nutrition
  • Growth Monitoring
  • Biostatistics

Background:

  • Accurate assessment of child growth is crucial for identifying nutritional status.
  • Body Mass Index (BMI) is a common metric, but its interpretation in early childhood requires careful consideration of standardized references.
  • The use of rounded percentiles versus Z-scores for BMI cut-points can lead to discrepancies in classification.

Purpose of the Study:

  • To evaluate the extent of misclassification in early childhood growth assessment.
  • To compare the diagnostic accuracy of BMI cut-points defined by rounded percentiles versus Z-scores.
  • To highlight the implications of using different classification methods on study comparability.

Main Methods:

  • A cross-sectional study was conducted using data from 5836 children under 6 years old.
  • Body Mass Index for Age Z-scores were calculated using World Health Organization growth standards.
  • Misclassification rates were determined by comparing BMI categories derived from rounded percentiles against those derived from Z-score cut-points.

Main Results:

  • The use of rounded percentiles resulted in different proportions of children classified as wasted, at risk of overweight, overweight, and obese compared to Z-scores.
  • Overall, 2% of children were misclassified, with significant misclassification rates observed for wasted (13%) and obese (14%) categories.
  • Discrepancies in classification were noted, particularly at the extremes of the BMI distribution.

Conclusions:

  • The use of rounded percentiles for BMI cut-points in early childhood leads to significant misclassification of growth status.
  • This misclassification can hinder accurate identification of children's nutritional status and limit the comparability of research findings.
  • Standardized use of Z-scores is recommended for consistent and accurate child growth assessment.
Abstract

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