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


Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
02 2022
Historique:
received: 13 07 2021
revised: 20 10 2021
accepted: 04 12 2021
pubmed: 12 1 2022
medline: 8 3 2022
entrez: 11 1 2022
Statut: ppublish

Résumé

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

Sections du résumé

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.

Identifiants

pubmed: 35016145
pii: S0261-5614(21)00557-4
doi: 10.1016/j.clnu.2021.12.008
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

508-516

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of the data; in the writing of the manuscript; or in the decision to publish the results.

Auteurs

Judit Muñoz-Hernando (J)

Paediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili, IISPV, 43201, Reus, Spain. Electronic address: judit.munoz@urv.cat.

Joaquin Escribano (J)

Paediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili, IISPV, 43201, Reus, Spain. Electronic address: joaquin.escribano@urv.cat.

Natalia Ferré (N)

Paediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili, IISPV, 43201, Reus, Spain.

Ricardo Closa-Monasterolo (R)

Paediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili, IISPV, 43201, Reus, Spain.

Veit Grote (V)

Dept. Paediatrics, Dr von Hauner Children's Hospital, University Hospital, LMU - Ludwig-Maximilians-Universität, 80337, Munich, Germany.

Berthold Koletzko (B)

Dept. Paediatrics, Dr von Hauner Children's Hospital, University Hospital, LMU - Ludwig-Maximilians-Universität, 80337, Munich, Germany; Else-Kröner-Seniorprofessor of Paediatrics, LMU Ludwig-Maximilians-Universität, 80337, Munich, Germany. Electronic address: berthold.koletzko@med.uni-muenchen.de.

Dariusz Gruszfeld (D)

Neonatal Department, Children's Memorial Health Institute, 04-730, Warsaw, Poland. Electronic address: d.gruszfeld@czd.pl.

Alice ReDionigi (A)

Department of Health Sciences, University of Milan, 20146, Milan, Italy. Electronic address: alice.redionigi@yahoo.it.

Elvira Verduci (E)

Department of Health Sciences, University of Milan, 20146, Milan, Italy. Electronic address: elvira.verduci@unimi.it.

Annick Xhonneux (A)

CHC Sant Vincent, 4000, Liège-Rocourt, Belgium. Electronic address: annick.xhonneux@chc.be.

Veronica Luque (V)

Paediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili, IISPV, 43201, Reus, Spain; Serra Hunter Fellow, Universitat Rovira i Virgili, 43201, Reus, Spain. Electronic address: veronica.luque@urv.cat.

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