Literature DB >> 25703480

Longitudinal changes in lean mass predict pQCT measures of tibial geometry and mineralisation at 6-7 years.

Rebecca J Moon1, Zoe A Cole2, Sarah R Crozier3, Elizabeth M Curtis3, Justin H Davies4, Celia L Gregson5, Sian M Robinson3, Elaine M Dennison3, Keith M Godfrey6, Hazel M Inskip3, Cyrus Cooper7, Nicholas C Harvey8.   

Abstract

BACKGROUND: Studies in childhood suggest that both body composition and early postnatal growth are associated with bone mineral density (BMD). However, little is known of the relationships between longitudinal changes in fat (FM) and lean mass (LM) and bone development in pre-pubertal children. We therefore investigated these associations in a population-based mother-offspring cohort, the Southampton Women's Survey.
METHODS: Total FM and LM were assessed at birth and 6-7 years of age by dual-energy x-ray absorptiometry (DXA). At 6-7 years, total cross-sectional area (CSA) and trabecular volumetric BMD (vBMD) at the 4% site (metaphysis) of the tibia was assessed using peripheral quantitative computed tomography [pQCT (Stratec XCT-2000)]. Total CSA, cortical CSA, cortical vBMD and strength-strain index (SSI) were measured at the 38% site (diaphysis). FM, LM and bone parameters were adjusted for age and sex and standardised to create within-cohort z-scores. Change in LM (ΔLM) or FM (ΔFM) was represented by change in z-score from birth to 7 years old and conditioned on the birth measurement. Linear regression was used to explore the associations between ΔLM or ΔFM and standardised pQCT outcomes, before and after mutual adjustment and for linear growth. The β-coefficient represents SD change in outcome per unit SD change in predictor.
RESULTS: DXA at birth, in addition to both DXA and pQCT scans at 6-7 years, were available for 200 children (48.5% male). ΔLM adjusted for ΔFM was positively associated with tibial total CSA at both the 4% (β=0.57SD/SD, p<0.001) and 38% sites (β=0.53SD/SD, p<0.001), cortical CSA (β=0.48SD/SD, p<0.001) and trabecular vBMD (β=0.30SD/SD, p<0.001), but not with cortical vBMD. These relationships persisted after adjustment for linear growth. In contrast, ΔFM adjusted for ΔLM was only associated with 38% total and cortical CSA, which became non-significant after adjustment for linear growth.
CONCLUSION: In this study, gain in childhood LM was positively associated with bone size and trabecular vBMD at 6-7 years of age. In contrast, no relationships between change in FM and bone were observed, suggesting that muscle growth, rather than accrual of fat mass, may be a more important determinant of childhood bone development.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Body composition; Childhood; Epidemiology; Growth; Osteoporosis; pQCT

Mesh:

Year:  2015        PMID: 25703480      PMCID: PMC4556067          DOI: 10.1016/j.bone.2015.02.015

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  29 in total

1.  Multiplicity in randomised trials I: endpoints and treatments.

Authors:  Kenneth F Schulz; David A Grimes
Journal:  Lancet       Date:  2005 Apr 30-May 6       Impact factor: 79.321

2.  Fat mass is not beneficial to bone in adolescents and young adults.

Authors:  Agnieszka Janicka; Tishya A L Wren; Monique M Sanchez; Frederick Dorey; Paul S Kim; Steven D Mittelman; Vicente Gilsanz
Journal:  J Clin Endocrinol Metab       Date:  2006-10-17       Impact factor: 5.958

Review 3.  Muscle-bone interactions: basic and clinical aspects.

Authors:  Luisella Cianferotti; Maria Luisa Brandi
Journal:  Endocrine       Date:  2013-08-29       Impact factor: 3.633

4.  Sex difference in the effect of puberty on the relationship between fat mass and bone mass in 926 healthy subjects, 6 to 18 years old.

Authors:  Alexandra Ackerman; John C Thornton; Jack Wang; Richard N Pierson; Mary Horlick
Journal:  Obesity (Silver Spring)       Date:  2006-05       Impact factor: 5.002

5.  Improvement in the accuracy of dual energy x-ray absorptiometry for whole body and regional analysis of body composition: validation using piglets and methodologic considerations in infants.

Authors:  J A Brunton; H A Weiler; S A Atkinson
Journal:  Pediatr Res       Date:  1997-04       Impact factor: 3.756

6.  Prospective ten-month exercise intervention in premenarcheal girls: positive effects on bone and lean mass.

Authors:  F L Morris; G A Naughton; J L Gibbs; J S Carlson; J D Wark
Journal:  J Bone Miner Res       Date:  1997-09       Impact factor: 6.741

Review 7.  Endocrine crosstalk between muscle and bone.

Authors:  Marco Brotto; Mark L Johnson
Journal:  Curr Osteoporos Rep       Date:  2014-06       Impact factor: 5.096

8.  A theoretical analysis of the relative influences of peak BMD, age-related bone loss and menopause on the development of osteoporosis.

Authors:  C J Hernandez; G S Beaupré; D R Carter
Journal:  Osteoporos Int       Date:  2003-08-07       Impact factor: 4.507

9.  Cohort profile: The Southampton Women's Survey.

Authors:  Hazel M Inskip; Keith M Godfrey; Siân M Robinson; Catherine M Law; David J P Barker; Cyrus Cooper
Journal:  Int J Epidemiol       Date:  2005-09-29       Impact factor: 7.196

10.  Adipose tissue stimulates bone growth in prepubertal children.

Authors:  E M Clark; A R Ness; J H Tobias
Journal:  J Clin Endocrinol Metab       Date:  2006-04-18       Impact factor: 5.958

View more
  8 in total

Review 1.  The Impact of Fat and Obesity on Bone Microarchitecture and Strength in Children.

Authors:  Joshua N Farr; Paul Dimitri
Journal:  Calcif Tissue Int       Date:  2016-12-24       Impact factor: 4.333

2.  Association Between Physical Fitness and Bone Strength and Structure in 3- to 5-Year-Old Children.

Authors:  Alejandro Gómez-Bruton; Jorge Marín-Puyalto; Borja Muñiz-Pardos; Gabriel Lozano-Berges; Cristina Cadenas-Sanchez; Angel Matute-Llorente; Alba Gómez-Cabello; Luis A Moreno; Alex Gonzalez-Agüero; Jose A Casajus; Germán Vicente-Rodríguez
Journal:  Sports Health       Date:  2020-05-22       Impact factor: 3.843

3.  Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry.

Authors:  Emma Pomeroy; Veena Mushrif-Tripathy; Bharati Kulkarni; Sanjay Kinra; Jay T Stock; Tim J Cole; Meghan K Shirley; Jonathan C K Wells
Journal:  Archaeol Anthropol Sci       Date:  2018-06-18       Impact factor: 1.989

Review 4.  A systematic review and meta-analysis of pediatric normative peripheral quantitative computed tomography data.

Authors:  Maria Medeleanu; Reza Vali; Shadab Sadeghpour; Rahim Moineddin; Andrea S Doria
Journal:  Bone Rep       Date:  2021-07-07

5.  Pregnancy Vitamin D Supplementation and Childhood Bone Mass at Age 4 Years: Findings From the Maternal Vitamin D Osteoporosis Study (MAVIDOS) Randomized Controlled Trial.

Authors:  Elizabeth M Curtis; Rebecca J Moon; Stefania D'Angelo; Sarah R Crozier; Nicholas J Bishop; Jaya Sujatha Gopal-Kothandapani; Stephen H Kennedy; Aris T Papageorghiou; Robert Fraser; Saurabh V Gandhi; Inez Schoenmakers; Ann Prentice; Hazel M Inskip; Keith M Godfrey; M Kassim Javaid; Richard Eastell; Cyrus Cooper; Nicholas C Harvey
Journal:  JBMR Plus       Date:  2022-06-11

6.  Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton.

Authors:  Emma Pomeroy; Alison Macintosh; Jonathan C K Wells; Tim J Cole; Jay T Stock
Journal:  Am J Phys Anthropol       Date:  2018-01-18       Impact factor: 2.868

7.  Longitudinal determinants of 12-month changes on bone health in adolescent male athletes.

Authors:  Esther Ubago-Guisado; Dimitris Vlachopoulos; Ioannis G Fatouros; Chariklia K Deli; Diamanda Leontsini; Luis A Moreno; Daniel Courteix; Luis Gracia-Marco
Journal:  Arch Osteoporos       Date:  2018-10-10       Impact factor: 2.617

Review 8.  The Impact of Diet and Physical Activity on Bone Health in Children and Adolescents.

Authors:  Patrizia Proia; Alessandra Amato; Patrik Drid; Darinka Korovljev; Sonya Vasto; Sara Baldassano
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-13       Impact factor: 5.555

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.