Literature DB >> 30515578

Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges.

Edgar Denova-Gutiérrez1, Patricia Clark2,3, Ricardo Francisco Capozza4, Laura Marcela Nocciolino4, Jose Luis Ferretti4, Rafael Velázquez-Cruz5, Berenice Rivera6, Gustavo Roberto Cointry7, Jorge Salmerón6,8.   

Abstract

The present study aims: (1) to explore the influence of lean mass (LM) on bone mineral content (BMC), (2) to investigate the pubertal influences on the BMC-LM relation, and (3) to perform Z-score charts of BMC-LM relation, stratified by gender and reproductive status categorized by age ranges. A cross-sectional analysis was conducted using 4001 healthy subjects between 7 and 90 years participating in the Health Workers Cohort Study. Of these, 720 participants were ≤ 19 years, 2417 were women ≥ 20 years, and 864 were men ≥ 20 years. Using Dual X-ray absorptiometry (DXA), we measured BMC and LM. Participants' pubertal development was assessed according to Tanner's stage scale. To describe BMC-LM relation, simple correlation coefficients were computed. To produce best-fit equations, an ANOVA test was conducted. Z-score graphs for the BMC-LM relation were obtained. In general, the BMC-LM correlations were linear and highly significant. For boys, curves were virtually parallel, with similar intercepts and a progressive displacement of values toward the upper-right region of the graph, for each Tanner subgroup. For girls, curves for Tanner 1-2 and 4-5 stages were parallel; but, in girls Tanner 4-5, the intercepts were significantly higher by about +300-400 g of BMC (P < 0.001). For postmenopausal women, the curve was parallel to that for the premenopausal but showed a lower intercept (P < 0.001). We provide DXA reference data on a well-characterized cohort of 4001 healthy subjects. These reference curves provide a reference value for the assessment and monitoring of bone health in all age groups included in the present study.

Entities:  

Keywords:  Bone mineral content; Lean mass; Muscle–bone relation; Tanner stage

Mesh:

Year:  2018        PMID: 30515578     DOI: 10.1007/s00774-018-0978-0

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  26 in total

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Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

2.  Evaluating the relationship between muscle and bone modeling response in older adults.

Authors:  Lisa Reider; Thomas Beck; Dawn Alley; Ram Miller; Michelle Shardell; John Schumacher; Jay Magaziner; Peggy M Cawthon; Kamil E Barbour; Jane A Cauley; Tamara Harris
Journal:  Bone       Date:  2016-06-21       Impact factor: 4.398

Review 3.  Influence of body weight on bone mass, architecture and turnover.

Authors:  Urszula T Iwaniec; Russell T Turner
Journal:  J Endocrinol       Date:  2016-06-27       Impact factor: 4.286

4.  Positive Association Between Adipose Tissue and Bone Stiffness.

Authors:  R M Berg; H Wallaschofski; M Nauck; R Rettig; M R P Markus; R Laqua; N Friedrich; A Hannemann
Journal:  Calcif Tissue Int       Date:  2015-05-01       Impact factor: 4.333

5.  Excess body fat negatively affects bone mass in adolescents.

Authors:  Luciana Nunes Mosca; Tamara Beres Lederer Goldberg; Valéria Nóbrega da Silva; Carla Cristiane da Silva; Cilmery Suemi Kurokawa; Anapaula C Bisi Rizzo; José Eduardo Corrente
Journal:  Nutrition       Date:  2013-12-13       Impact factor: 4.008

6.  Purification of a 107 kilodalton (kDa) casein kinase G substrate from thyroid cytosol.

Authors:  S Levasseur; T Poleck; Y Friedman; G Burke
Journal:  Mol Cell Biochem       Date:  1988-10       Impact factor: 3.396

7.  Gender-related differences in the relationship between densitometric values of whole-body bone mineral content and lean body mass in humans between 2 and 87 years of age.

Authors:  J L Ferretti; R F Capozza; G R Cointry; S L García; H Plotkin; M L Alvarez Filgueira; J R Zanchetta
Journal:  Bone       Date:  1998-06       Impact factor: 4.398

Review 8.  Maximizing bone mineral mass gain during growth for the prevention of fractures in the adolescents and the elderly.

Authors:  René Rizzoli; Maria Luisa Bianchi; Michèle Garabédian; Heather A McKay; Luis A Moreno
Journal:  Bone       Date:  2009-10-17       Impact factor: 4.398

9.  Association between low lean body mass and osteoporotic fractures after menopause.

Authors:  Ricardo F Capozza; Carlos Cure-Cure; Gustavo R Cointry; Margarita Meta; Pablo Cure; Joern Rittweger; José Luis Ferretti
Journal:  Menopause       Date:  2008 Sep-Oct       Impact factor: 2.953

10.  Relationships between the lean mass index and bone mass and reference values of muscular status in healthy Chinese children and adolescents.

Authors:  Bin Guo; Qiulian Wu; Jian Gong; Zeyu Xiao; Yongjin Tang; Jingjie Shang; Yong Cheng; Hao Xu
Journal:  J Bone Miner Metab       Date:  2015-11-19       Impact factor: 2.626

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