Body composition and bone mineral density in childhood.

Absorptiometry, Photon Adipose Tissue / metabolism Adiposity / physiology Anthropometry Body Composition / physiology Bone Density / physiology Child Cross-Sectional Studies Female Humans Male
Adiposity Areal bone mineral density Body composition Dual-energy X-ray absorptiometry

Journal

Bone
ISSN: 1873-2763
Titre abrégé: Bone
Pays: United States
ID NLM: 8504048

Informations de publication

Date de publication:
04 2019
Historique:
received: 11 06 2018
revised: 20 11 2018
accepted: 12 12 2018
pubmed: 18 12 2018
medline: 21 4 2020
entrez: 18 12 2018
Statut: ppublish

Résumé

Body mass compartments may have different directions of influence on bone accrual. Studies of children are limited by relatively small sample sizes and typically make strong assumptions of linear regression. To evaluate associations of overall body mass, components of overall body mass (fat-free and total fat), and components of total fat mass (truncal and non-truncal fat), measured via dual-energy X-ray absorptiometry (DXA) and anthropometry, with total body less head areal bone mineral density (aBMD) Z-score in mid-childhood. We performed a cross-sectional study among 876 Boston-area children who had DXA measures. We evaluated linearity of associations using generalized additive models. Children were median 7.7 (range 6-10) years of age, and 61% were white. After adjustment for sociodemographics and other compartments of body mass, overall body mass, particularly the fat-free mass component, appeared to have a positive relationship with aBMD Z-score [e.g., 0.25 (95% CI: 0.23, 0.28) per 1-kg fat-free mass]. The relationship between truncal fat and aBMD Z-score appeared non-linear, with a negative association only in children with levels of fat mass in the upper 15th percentile [-0.17 (95% CI: -0.26, -0.07) aBMD Z-score per 1-kg truncal fat mass], while non-truncal fat mass was not associated with aBMD Z-score. Our analyses suggest that central adiposity is associated with lower aBMD Z-score only in children with the highest levels of abdominal fat. This finding raises the possibility of a threshold above which central adipose tissue becomes more metabolically active and thereby adversely impacts bone.

Sections du résumé

BACKGROUND
Body mass compartments may have different directions of influence on bone accrual. Studies of children are limited by relatively small sample sizes and typically make strong assumptions of linear regression.
OBJECTIVE
To evaluate associations of overall body mass, components of overall body mass (fat-free and total fat), and components of total fat mass (truncal and non-truncal fat), measured via dual-energy X-ray absorptiometry (DXA) and anthropometry, with total body less head areal bone mineral density (aBMD) Z-score in mid-childhood.
METHODS
We performed a cross-sectional study among 876 Boston-area children who had DXA measures. We evaluated linearity of associations using generalized additive models.
RESULTS
Children were median 7.7 (range 6-10) years of age, and 61% were white. After adjustment for sociodemographics and other compartments of body mass, overall body mass, particularly the fat-free mass component, appeared to have a positive relationship with aBMD Z-score [e.g., 0.25 (95% CI: 0.23, 0.28) per 1-kg fat-free mass]. The relationship between truncal fat and aBMD Z-score appeared non-linear, with a negative association only in children with levels of fat mass in the upper 15th percentile [-0.17 (95% CI: -0.26, -0.07) aBMD Z-score per 1-kg truncal fat mass], while non-truncal fat mass was not associated with aBMD Z-score.
CONCLUSIONS
Our analyses suggest that central adiposity is associated with lower aBMD Z-score only in children with the highest levels of abdominal fat. This finding raises the possibility of a threshold above which central adipose tissue becomes more metabolically active and thereby adversely impacts bone.

Identifiants

DOI: 10.1016/j.bone.2018.12.009 PMID: 30557635 PMC: PMC6391186
pubmed: 30557635
pii: S8756-3282(18)30459-9
doi: 10.1016/j.bone.2018.12.009
pmc: PMC6391186
mid: NIHMS1518158
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

9-15

Subventions

Organisme : NICHD NIH HHS
ID : K24 HD069408
Pays : United States
Organisme : NIH HHS
ID : UH3 OD023286
Pays : United States
Organisme : NIEHS NIH HHS
ID : K23 ES024803
Pays : United States
Organisme : NIH HHS
ID : UG3 OD023286
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD034568
Pays : United States

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

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Auteurs

Lisa B Rokoff (LB)

Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA. Electronic address: lrokoff@mail.harvard.edu.

Sheryl L Rifas-Shiman (SL)

Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.

Karen M Switkowski (KM)

Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.

Jessica G Young (JG)

Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.

Clifford J Rosen (CJ)

Center for Clinical and Translational Research, Maine Medical Center Research Institute, Maine Medical Center, Scarborough, ME, USA.

Emily Oken (E)

Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Abby F Fleisch (AF)

Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA; Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA.

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Classifications MeSH

questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Photométrie › Densitométrie › Absorptiométrie photonique › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Tissus › Tissu conjonctif › Tissu adipeux › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Phénomènes physiologiques › Constitution physique › Composition corporelle › Répartition du tissu adipeux › Adiposité › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Biométrie › Anthropométrie › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Phénomènes physiologiques › Constitution physique › Composition corporelle › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système locomoteur › Densité osseuse › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Personnes › Tranches d'âge › Enfant › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Body composition and bone mineral density in childhood.
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Body composition and bone mineral density in childhood.