Metabolic status in children and its transitions during childhood and adolescence-the IDEFICS/I.Family study.


Journal

International journal of epidemiology
ISSN: 1464-3685
Titre abrégé: Int J Epidemiol
Pays: England
ID NLM: 7802871

Informations de publication

Date de publication:
01 10 2019
Historique:
accepted: 17 04 2019
pubmed: 18 5 2019
medline: 13 5 2020
entrez: 18 5 2019
Statut: ppublish

Résumé

This study aimed to investigate metabolic status in children and its transitions into adolescence. The analysis was based on 6768 children who participated in the European IDEFICS/I.Family cohort (T0 2007/2008, T1 2009/2010 and/or T3 2013/2014; mean ages: 6.6, 8.4 and 12.0 years, respectively) and provided at least two measurements of waist circumference, blood pressure, blood glucose and lipids over time. Latent transition analysis was used to identify groups with similar metabolic status and to estimate transition probabilities. The best-fitting model identified five latent groups: (i) metabolically healthy (61.5%; probability for group membership at T0); (ii) abdominal obesity (15.9%); (iii) hypertension (7.0%); (iv) dyslipidaemia (9.0%); and (v) several metabolic syndrome (MetS) components (6.6%). The probability of metabolically healthy children at T0 remaining healthy at T1 was 86.6%; when transitioning from T1 to T3, it was 90.1%. Metabolically healthy children further had a 6.7% probability of developing abdominal obesity at T1. Children with abdominal obesity at T0 had an 18.5% probability of developing several metabolic syndrome (MetS) components at T1. The subgroup with dyslipidaemia at T0 had the highest chances of becoming metabolically healthy at T1 (32.4%) or at T3 (35.1%). Only a minor proportion of children showing several MetS components at T0 were classified as healthy at follow-up; 99.8% and 88.3% remained in the group with several disorders at T1 and T3, respectively. Our study identified five distinct metabolic statuses in children and adolescents. Although lipid disturbances seem to be quite reversible, abdominal obesity is likely to be followed by further metabolic disturbances.

Sections du résumé

BACKGROUND
This study aimed to investigate metabolic status in children and its transitions into adolescence.
METHODS
The analysis was based on 6768 children who participated in the European IDEFICS/I.Family cohort (T0 2007/2008, T1 2009/2010 and/or T3 2013/2014; mean ages: 6.6, 8.4 and 12.0 years, respectively) and provided at least two measurements of waist circumference, blood pressure, blood glucose and lipids over time. Latent transition analysis was used to identify groups with similar metabolic status and to estimate transition probabilities.
RESULTS
The best-fitting model identified five latent groups: (i) metabolically healthy (61.5%; probability for group membership at T0); (ii) abdominal obesity (15.9%); (iii) hypertension (7.0%); (iv) dyslipidaemia (9.0%); and (v) several metabolic syndrome (MetS) components (6.6%). The probability of metabolically healthy children at T0 remaining healthy at T1 was 86.6%; when transitioning from T1 to T3, it was 90.1%. Metabolically healthy children further had a 6.7% probability of developing abdominal obesity at T1. Children with abdominal obesity at T0 had an 18.5% probability of developing several metabolic syndrome (MetS) components at T1. The subgroup with dyslipidaemia at T0 had the highest chances of becoming metabolically healthy at T1 (32.4%) or at T3 (35.1%). Only a minor proportion of children showing several MetS components at T0 were classified as healthy at follow-up; 99.8% and 88.3% remained in the group with several disorders at T1 and T3, respectively.
CONCLUSIONS
Our study identified five distinct metabolic statuses in children and adolescents. Although lipid disturbances seem to be quite reversible, abdominal obesity is likely to be followed by further metabolic disturbances.

Identifiants

pubmed: 31098634
pii: 5490631
doi: 10.1093/ije/dyz097
doi:

Substances chimiques

Lipids 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1673-1683

Informations de copyright

© The Author(s) 2019; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Auteurs

Claudia Börnhorst (C)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Department of Biometry and Data Management, Bremen, Germany.

Paola Russo (P)

Institute of Food Sciences, National Research Council, Avellino, Italy.

Toomas Veidebaum (T)

National Institute for Health Development, Estonian Centre of Behavioral and Health Sciences, Tallinn, Estonia.

Michael Tornaritis (M)

Research and Education Institute of Child Health, Strovolos, Cyprus.

Dénes Molnár (D)

Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary.

Lauren Lissner (L)

Section for Epidemiology and Social Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Staffan Marild (S)

Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden.

Stefaan De Henauw (S)

Department of Public Health, Ghent University, Ghent, Belgium.

Luis A Moreno (LA)

GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Zaragoza, Spain.

Timm Intemann (T)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Epidemiological Methods and Etiological Research, Bremen, Germany.
Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany.

Maike Wolters (M)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Epidemiological Methods and Etiological Research, Bremen, Germany.

Wolfgang Ahrens (W)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Epidemiological Methods and Etiological Research, Bremen, Germany.
Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany.

Anna Floegel (A)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Epidemiological Methods and Etiological Research, Bremen, Germany.

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