Usefulness of the waist-to-height ratio for predicting cardiometabolic risk in children and its suggested boundary values

Clin Nutr. 2022 Feb;41(2):508-516. doi: 10.1016/j.clnu.2021.12.008. Epub 2021 Dec 8.

Abstract

Background & aims: Only limited information is available on the usefulness of the waist-to-height ratio (WHtR) as an abdominal obesity marker in children. Our aim was to compare the ability of a WHtR >90th percentile, a WHtR ≥0.50, a WHtR ≥0.55 and a BMI z-score ≥2 SD to predict cardiometabolic risk in children followed-up at different ages.

Methods: We evaluated data from 660 children at 5, 8 and 11 years of age who participated in the Childhood Obesity Project trial in 5 European countries. We classified children with or without cardiometabolic (CMet) risk (yes vs. no) according to the presence of ≥2 parameters (blood pressure, HOMA-IR, triglyceride levels and high-density lipoprotein (HDL) cholesterol levels) ≥90th percentile.

Results: The odds ratio for CMet risk in children at all followed-up ages was statistically significant for all measures. The OR for the WHtR≥0.55 cut-off was 29.1 (5.6, 151.7) at 5 years of age, 11.8 (4.1, 33.8) at 8 year of age and 3.6 (1.7, 7.7) at 11 years of age, compared to the WHtR<0.55 cut-off. The WHtR≥0.55 cut-off showed a higher OR at younger ages than the BMI z-score ≥2SD, WHtR ≥90th percentile and WHtR≥0.50 cut-offs and a higher positive predictive value (82% at 5 years of age compared to 55%, 36% and 41%, respectively).

Conclusion: A WHtR≥0.55 is a suitable cut-off for screening children at high cardiometabolic risk in the general young European population.

Keywords: Abdominal obesity; Cardiovascular risk; Childhood obesity; Metabolic syndrome; Waist-to-height ratio.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / analysis
  • Blood Pressure
  • Body Height*
  • Body Mass Index
  • Cardiometabolic Risk Factors
  • Child
  • Child, Preschool
  • Europe
  • Female
  • Humans
  • Male
  • Mass Screening / methods*
  • Odds Ratio
  • Pediatric Obesity / diagnosis*
  • Predictive Value of Tests
  • Reference Values
  • Risk Assessment / methods*
  • Waist Circumference*

Substances

  • Biomarkers