Body mass index trajectories in early childhood in relation to cardiometabolic risk profile and body composition at 5 years of age.

body composition child cohort study developmental origins of health and disease growth latent class trajectory modeling noncommunicable diseases sub-Saharan Africa

Journal

The American journal of clinical nutrition
ISSN: 1938-3207
Titre abrégé: Am J Clin Nutr
Pays: United States
ID NLM: 0376027

Informations de publication

Date de publication:
01 11 2019
Historique:
received: 20 02 2019
accepted: 03 07 2019
pubmed: 11 9 2019
medline: 3 4 2020
entrez: 11 9 2019
Statut: ppublish

Résumé

Both impaired and accelerated postnatal growth have been associated with adult risks of obesity and cardiometabolic diseases, like type 2 diabetes and cardiovascular disease. However, the timing of the onset of cardiometabolic changes and the specific growth trajectories linking early growth with later disease risks are not well understood. The aim of this study was to identify distinct trajectories of BMI growth from 0 to 5 y and examine their associations with body composition and markers of cardiometabolic risk at age 5 y. In a prospective birth cohort study of 453 healthy and term Ethiopian children with BMIs assessed a median of 9 times during follow-up, we identified subgroups of distinct BMI trajectories in early childhood using latent class trajectory modeling. Associations of the identified growth trajectories with cardiometabolic markers and body composition at 5 y were analyzed using multiple linear regression analyses in 4 adjustment models for each outcome. We identified 4 heterogeneous BMI growth trajectories: stable low BMI (19.2%), normal BMI (48.8%), rapid catch-up to high BMI (17.9%), and slow catch-up to high BMI (14.1%). Compared with the normal BMI trajectory, children in the rapid catch-up to high BMI trajectory had higher triglycerides (TGs) (range of β-coefficients in Models 1-4: 19-21%), C-peptides (23-25%), fat masses (0.48-0.60 kg), and fat-free masses (0.50-0.77 kg) across the 4 adjustment models. Children in the stable low BMI trajectory had lower LDL cholesterol concentrations (0.14-0.17 mmol/L), HDL cholesterol concentrations (0.05-0.09 mmol/L), fat masses (0.60-0.64 kg), and fat-free masses (0.35-0.49 kg), but higher TGs (11-13%). The development of obesity and cardiometabolic risks may be established already in early childhood; thus, our data provide a further basis for timely interventions targeted at young children from low-income countries with unfavorable growth patterns. The birth cohort was registered at ISRCTN as ISRCTN46718296.

Sections du résumé

BACKGROUND
Both impaired and accelerated postnatal growth have been associated with adult risks of obesity and cardiometabolic diseases, like type 2 diabetes and cardiovascular disease. However, the timing of the onset of cardiometabolic changes and the specific growth trajectories linking early growth with later disease risks are not well understood.
OBJECTIVES
The aim of this study was to identify distinct trajectories of BMI growth from 0 to 5 y and examine their associations with body composition and markers of cardiometabolic risk at age 5 y.
METHODS
In a prospective birth cohort study of 453 healthy and term Ethiopian children with BMIs assessed a median of 9 times during follow-up, we identified subgroups of distinct BMI trajectories in early childhood using latent class trajectory modeling. Associations of the identified growth trajectories with cardiometabolic markers and body composition at 5 y were analyzed using multiple linear regression analyses in 4 adjustment models for each outcome.
RESULTS
We identified 4 heterogeneous BMI growth trajectories: stable low BMI (19.2%), normal BMI (48.8%), rapid catch-up to high BMI (17.9%), and slow catch-up to high BMI (14.1%). Compared with the normal BMI trajectory, children in the rapid catch-up to high BMI trajectory had higher triglycerides (TGs) (range of β-coefficients in Models 1-4: 19-21%), C-peptides (23-25%), fat masses (0.48-0.60 kg), and fat-free masses (0.50-0.77 kg) across the 4 adjustment models. Children in the stable low BMI trajectory had lower LDL cholesterol concentrations (0.14-0.17 mmol/L), HDL cholesterol concentrations (0.05-0.09 mmol/L), fat masses (0.60-0.64 kg), and fat-free masses (0.35-0.49 kg), but higher TGs (11-13%).
CONCLUSIONS
The development of obesity and cardiometabolic risks may be established already in early childhood; thus, our data provide a further basis for timely interventions targeted at young children from low-income countries with unfavorable growth patterns. The birth cohort was registered at ISRCTN as ISRCTN46718296.

Identifiants

pubmed: 31504088
pii: S0002-9165(22)01301-6
doi: 10.1093/ajcn/nqz170
doi:

Banques de données

ISRCTN
['ISRCTN46718296']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1175-1185

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © American Society for Nutrition 2019.

Auteurs

Rasmus Wibaek (R)

Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.

Dorte Vistisen (D)

Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.

Tsinuel Girma (T)

Department of Pediatrics and Child Health, Jimma University, Jimma, Ethiopia.
Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.

Bitiya Admassu (B)

Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.
Department of Population and Family Health, Jimma University, Jimma, Ethiopia.

Mubarek Abera (M)

Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.
Department of Psychiatry, Jimma University, Jimma, Ethiopia.

Alemseged Abdissa (A)

Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.
Department of Laboratory Sciences and Pathology, Jimma University, Jimma, Ethiopia.

Kissi Mudie (K)

Ethiopian Public Health Institute, Addis Ababa, Ethiopia.

Pernille Kæstel (P)

Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.

Marit E Jørgensen (ME)

Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.
National Institute of Public Health, Southern Denmark University, Copenhagen, Denmark.

Jonathan C K Wells (JCK)

Childhood Nutrition Research Centre, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.

Kim F Michaelsen (KF)

Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.

Henrik Friis (H)

Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.

Gregers S Andersen (GS)

Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.

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Classifications MeSH