Sleep-disordered breathing in adolescents with obesity: When does it start to affect cardiometabolic health?


Journal

Nutrition, metabolism, and cardiovascular diseases : NMCD
ISSN: 1590-3729
Titre abrégé: Nutr Metab Cardiovasc Dis
Pays: Netherlands
ID NLM: 9111474

Informations de publication

Date de publication:
12 04 2020
Historique:
received: 29 07 2019
revised: 29 10 2019
accepted: 03 12 2019
pubmed: 6 2 2020
medline: 15 9 2020
entrez: 4 2 2020
Statut: ppublish

Résumé

Pediatric obesity and sleep-disordered breathing (SDB) are associated with cardiometabolic risk (CMR), but the degree of severity at which SDB affects cardiometabolic health is unknown. We assessed the relationship between the CMR and the apnea-hypopnea index (AHI), to identify a threshold of AHI from which an increase in the CMR is observed, in adolescents with obesity. We also compared the clinical, cardiometabolic and sleep characteristics between adolescents presenting a high (CMR+) and low CMR (CMR-), according to the threshold of AHI. 114 adolescents with obesity were recruited from three institutions specialized in obesity management. Sleep and SDB as assessed by polysomnography, anthropometric parameters, fat mass (FM), glucose and lipid profiles, and blood pressure (BP) were measured at admission. Continuous (MetScore The identification of a threshold of AHI ≥ 2 corresponding to the cardiometabolic alterations highlights the need for the early management of SDB and obesity in adolescents, to prevent cardiometabolic diseases. NCT03466359, NCT02588469 and NCT01358773.

Sections du résumé

BACKGROUND AND AIMS
Pediatric obesity and sleep-disordered breathing (SDB) are associated with cardiometabolic risk (CMR), but the degree of severity at which SDB affects cardiometabolic health is unknown. We assessed the relationship between the CMR and the apnea-hypopnea index (AHI), to identify a threshold of AHI from which an increase in the CMR is observed, in adolescents with obesity. We also compared the clinical, cardiometabolic and sleep characteristics between adolescents presenting a high (CMR+) and low CMR (CMR-), according to the threshold of AHI.
METHODS AND RESULTS
114 adolescents with obesity were recruited from three institutions specialized in obesity management. Sleep and SDB as assessed by polysomnography, anthropometric parameters, fat mass (FM), glucose and lipid profiles, and blood pressure (BP) were measured at admission. Continuous (MetScore
CONCLUSIONS
The identification of a threshold of AHI ≥ 2 corresponding to the cardiometabolic alterations highlights the need for the early management of SDB and obesity in adolescents, to prevent cardiometabolic diseases.
CLINICAL TRIALS
NCT03466359, NCT02588469 and NCT01358773.

Identifiants

pubmed: 32008915
pii: S0939-4753(19)30450-8
doi: 10.1016/j.numecd.2019.12.003
pii:
doi:

Substances chimiques

Biomarkers 0
Blood Glucose 0
Lipids 0

Banques de données

ClinicalTrials.gov
['NCT03466359', 'NCT02588469', 'NCT01358773']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

683-693

Informations de copyright

Copyright © 2019 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

Auteurs

Johanna Roche (J)

EA3920, Exercise Performance Health Innovation platform, University of Franche-Comte, Besançon, France; Sleep and Health Medicine Center Ellipse, Franois, France; Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UE3533, Clermont Auvergne University, Clermont-Ferrand, France; Wits Sleep Laboratory, Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. Electronic address: johanna.roche@wits.ac.za.

Flavia C Corgosinho (FC)

Universidade Federal de Goiás - Faculdade de Nutrição - Programa de Pos-Graduação em Nutrição, Sao Paulo, Brazil.

Ana R Dâmaso (AR)

Universidade Federal de São Paulo - Escola Paulista de Medicina, Programa de Pos-Graduação em Nutrição, Sao Paulo, Brazil.

Laurie Isacco (L)

EA3920, Exercise Performance Health Innovation platform, University of Franche-Comte, Besançon, France.

Maud Miguet (M)

Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UE3533, Clermont Auvergne University, Clermont-Ferrand, France.

Alicia Fillon (A)

Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UE3533, Clermont Auvergne University, Clermont-Ferrand, France.

Aurore Guyon (A)

Sleep Pediatric Unit, Woman Mother Child Hospital, Hospices Civils de Lyon, Lyon1 University, F-69500, France; Physiology of Brain Arousal System Research Laboratory, CRNL, INSERM-U1028, CNRS UMR5292, Lyon1 University, Lyon, France.

Gustavo A Moreira (GA)

Universidade Federal de São Paulo - Escola Paulista de Medicina, Programa de Pos-Graduação em Nutrição, Sao Paulo, Brazil; Universidade Federal de São Paulo - Escola Paulista de Medicina - Departameno de Psicobiologia, Sao Paulo, Brazil.

Marcia Pradella-Hallinan (M)

Universidade Federal de São Paulo - Escola Paulista de Medicina, Programa de Pos-Graduação em Nutrição, Sao Paulo, Brazil; Universidade Federal de São Paulo - Escola Paulista de Medicina - Departameno de Psicobiologia, Sao Paulo, Brazil.

Sergio Tufik (S)

Universidade Federal de São Paulo - Escola Paulista de Medicina - Departameno de Psicobiologia, Sao Paulo, Brazil.

Marco Túlio de Mello (M)

Universidade Federal de Minas Gerais - Programa de Pós-Graduação em Educação Física - Minas Gerais, Brazil.

Valérie Gillet (V)

Sleep and Health Medicine Center Ellipse, Franois, France.

Bruno Pereira (B)

Clermont-Ferrand University Hospital, Biostatistics Unit (DRCI), Clermont-Ferrand, France.

Martine Duclos (M)

University Clermont 1, UFR Medicine, Clermont-Ferrand, France; INRA, UMR, 1019, Clermont-Ferrand, France; CRNH-Auvergne, Clermont-Ferrand, France; Department of Sport Medicine and Functional Explorations, Clermont-Ferrand University Hospital, G. Montpied Hospital, Clermont-Ferrand, France.

Yves Boirie (Y)

University Clermont 1, UFR Medicine, Clermont-Ferrand, France; INRA, UMR, 1019, Clermont-Ferrand, France; CRNH-Auvergne, Clermont-Ferrand, France; Department of Human Nutrition, Clermont-Ferrand University Hospital, G. Montpied Hospital, Clermont-Ferrand, France.

Julie Masurier (J)

UGECAM Nutrition Obesity Ambulatory Hospital, Clermont-Ferrand, France.

Patricia Franco (P)

Sleep Pediatric Unit, Woman Mother Child Hospital, Hospices Civils de Lyon, Lyon1 University, F-69500, France; Physiology of Brain Arousal System Research Laboratory, CRNL, INSERM-U1028, CNRS UMR5292, Lyon1 University, Lyon, France.

David Thivel (D)

Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UE3533, Clermont Auvergne University, Clermont-Ferrand, France; CRNH-Auvergne, Clermont-Ferrand, France.

Fabienne Mougin (F)

EA3920, Exercise Performance Health Innovation platform, University of Franche-Comte, Besançon, France.

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Classifications MeSH