Comparison of body mass index and fat mass index to classify body composition in adolescents-The EVA4YOU study.

Adolescents Bioelectrical impedance analysis Body mass index Fat mass index Fat-free mass index Overweight

Journal

European journal of pediatrics
ISSN: 1432-1076
Titre abrégé: Eur J Pediatr
Pays: Germany
ID NLM: 7603873

Informations de publication

Date de publication:
22 Feb 2024
Historique:
received: 15 01 2024
accepted: 05 02 2024
revised: 01 02 2024
medline: 22 2 2024
pubmed: 22 2 2024
entrez: 22 2 2024
Statut: aheadofprint

Résumé

The objectives of this study were to develop age- and sex-specific reference percentiles for fat mass index (FMI) and fat-free mass index (FFMI) in adolescents aged 14 to 19 years and to determine differences in overweight/obesity classification by FMI and body mass index (BMI). The EVA4YOU study is a single-center cross-sectional study conducted in western Austria. Cardiovascular risks including anthropometric measurements and bioelectrical impedance analysis were assessed in adolescents (mean age 17 years). FMI and FFMI were calculated as the ratio of fat mass (FM) and fat-free mass (FFM) to the square of height and compared to study population-specific BMI percentiles. One thousand four hundred twenty-two adolescents were included in the analysis. Girls had a significantly higher mean FM and FMI and a significantly lower mean FFM, FFMI (p < 0.001, each), and mean BMI (p = 0.020) than boys. Body composition classification by FMI and BMI percentiles shows a concordance for the < 75th and > 97th percentile, but a significant difference in percentile rank classifications between these two cut-off values (all p < 0.05). Based on FMI, 15.5% (221/1422) of the whole population and 29.4% (92/313) of those between the 75th and 97th percentiles are classified one category higher or lower than those assigned by BMI.  Classification of normal or pathologic body composition based on BMI and FMI shows good accordance in the clearly normal or pathologic range. In an intermediate range, FMI reclassifies categories based on BMI in more than a quarter of adolescents. Cut-off values to differentiate normal from pathologic FMI values on a biological basis are needed. The study is registered at www. gov  (Identifier: NCT04598685; Date of registration: October 22, 2020). • Chronic non-communicable diseases (NCDs) are the leading cause of morbidity and mortality globally, with major risk factors including unhealthy diets, harmful behaviors, and obesity. Obesity in children and adolescents is a key risk factor for later NCDs, which is commonly measured by Body Mass Index (BMI). • BMI can be misleading as it doesn't distinguish between fat mass (FM) and fat-free mass (FFM), leading to potential misclassification of obesity in children. Previous studies have already suggested the use of the Fat Mass Index (FMI) and Fat-Free Mass Index (FFMI) as a more accurate measures of body composition. • This study adds the first age- and sex-specific reference values for FMI and FFMI in Austrian adolescents using bioelectrical impedance analysis (BIA) as a safe and secure measurement method of a large representative cohort. • We found percentile misclassification between BMI and FMI when categorizing for obesity, especially in intermediate categories of body composition. Furthermore, when comparing the new reference values for FMI and FFMI to existing ones from the US, UK, and Germany we could show a good alignment within the European cohorts and major differences with American values, indicating and confirming the difference of FMI and FFMI for different populations of different ethnical background, living on different continents.

Identifiants

pubmed: 38386029
doi: 10.1007/s00431-024-05474-x
pii: 10.1007/s00431-024-05474-x
doi:

Banques de données

ClinicalTrials.gov
['NCT04598685']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : VASCage - Research Centre on Vascular Ageing and Stroke
ID : 898252
Organisme : VASCage - Research Centre on Vascular Ageing and Stroke
ID : 898252
Organisme : VASCage - Research Centre on Vascular Ageing and Stroke
ID : 898252
Organisme : VASCage - Research Centre on Vascular Ageing and Stroke
ID : 898252
Organisme : VASCage - Research Centre on Vascular Ageing and Stroke
ID : 898252

Investigateurs

Mandy Asare (M)
Manuela Bock-Bartl (M)
Alexander E Egger (AE)
Ralf Geiger (R)
Silvia Gelmi (S)
Andrea Griesmacher (A)
Christoph Hochmayr (C)
Jonas Huber (J)
Sophia J Kiechl (SJ)
Stefan Kiechl (S)
Ursula Kiechl-Kohlendorfer (U)
Michael Knoflach (M)
Alex Laner (A)
Denise Lazzarotto (D)
Alex Messner (A)
Johannes Nairz (J)
Hannah Oberhammer (H)
Raimund Pechlaner (R)
Bernhard Winder (B)

Informations de copyright

© 2024. The Author(s).

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Auteurs

Alex Messner (A)

VASCage, Centre on Clinical Stroke Research, Innsbruck, Austria.
Department of Pediatrics II, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

Johannes Nairz (J)

VASCage, Centre on Clinical Stroke Research, Innsbruck, Austria.
Department of Pediatrics II, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
Department of Pediatrics III, Medical University of Innsbruck, Innsbruck, Austria.

Sophia Kiechl (S)

VASCage, Centre on Clinical Stroke Research, Innsbruck, Austria.
Department of Neurology, Hochzirl Hospital, Zirl, Austria.

Bernhard Winder (B)

VASCage, Centre on Clinical Stroke Research, Innsbruck, Austria.
Department of Vascular Surgery, Feldkirch Hospital, Feldkirch, Austria.

Raimund Pechlaner (R)

Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

Ralf Geiger (R)

Department of Pediatrics III, Medical University of Innsbruck, Innsbruck, Austria.

Michael Knoflach (M)

VASCage, Centre on Clinical Stroke Research, Innsbruck, Austria. michael.knoflach@i-med.ac.at.
Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria. michael.knoflach@i-med.ac.at.

Ursula Kiechl-Kohlendorfer (U)

Department of Pediatrics II, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria. ursula.kohlendorfer@i-med.ac.at.

Classifications MeSH