Literature DB >> 27352990

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

Lisa Reider1, Thomas Beck2, Dawn Alley3, Ram Miller4, Michelle Shardell5, John Schumacher6, Jay Magaziner7, Peggy M Cawthon8, Kamil E Barbour9, Jane A Cauley10, Tamara Harris11.   

Abstract

Bone modeling, the process that continually adjusts bone strength in response to prevalent muscle-loading forces throughout an individual's lifespan, may play an important role in bone fragility with age. Femoral stress, an index of bone modeling response, can be estimated using measurements of DXA derived bone geometry and loading information incorporated into an engineering model. Assuming that individuals have adapted to habitual muscle loading forces, greater stresses indicate a diminished response and a weaker bone. The purpose of this paper was to evaluate the associations of lean mass and muscle strength with the femoral stress measure generated from the engineering model and to examine the extent to which lean mass and muscle strength account for variation in femoral stress among 2539 healthy older adults participating in the Health ABC study using linear regression. Mean femoral stress was higher in women (9.51, SD=1.85Mpa) than in men (8.02, SD=1.43Mpa). Percent lean mass explained more of the variation in femoral stress than did knee strength adjusted for body size (R(2)=0.187 vs. 0.055 in men; R(2)=0.237 vs. 0.095 in women). In models adjusted for potential confounders, for every percent increase in lean mass, mean femoral stress was 0.121Mpa lower (95% CI: -0.138, -0.104; p<0.001) in men and 0.139Mpa lower (95% CI: -0.158, -0.121; p<0.001) in women. The inverse association of femoral stress with lean mass and with knee strength did not differ by category of BMI. Results from this study provide insight into bone modeling differences as measured by femoral stress among older men and women and indicate that lean mass may capture elements of bone's response to load.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bone modeling response; Femoral stress; Muscle

Mesh:

Year:  2016        PMID: 27352990      PMCID: PMC5494965          DOI: 10.1016/j.bone.2016.06.012

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


  33 in total

1.  Association of body composition and physical activity with proximal femur geometry in middle-aged and elderly Afro-Caribbean men: the Tobago bone health study.

Authors:  L M Semanick; T J Beck; J A Cauley; V W Wheeler; A L Patrick; C H Bunker; J M Zmuda
Journal:  Calcif Tissue Int       Date:  2005-09-15       Impact factor: 4.333

2.  Age trends in femur stresses from a simulated fall on the hip among men and women: evidence of homeostatic adaptation underlying the decline in hip BMD.

Authors:  Thomas J Beck; Anne C Looker; Firas Mourtada; Maithili M Daphtary; Christopher B Ruff
Journal:  J Bone Miner Res       Date:  2006-09       Impact factor: 6.741

3.  Relation between age, femoral neck cortical stability, and hip fracture risk.

Authors:  Paul M Mayhew; C David Thomas; John G Clement; Nigel Loveridge; Thomas J Beck; William Bonfield; Chris J Burgoyne; Jonathan Reeve
Journal:  Lancet       Date:  2005 Jul 9-15       Impact factor: 79.321

Review 4.  From mechanostat theory to development of the "Functional Muscle-Bone-Unit".

Authors:  E Schoenau
Journal:  J Musculoskelet Neuronal Interact       Date:  2005 Jul-Sep       Impact factor: 2.041

5.  Ethnic differences in femur geometry in the women's health initiative observational study.

Authors:  D A Nelson; T J Beck; G Wu; C E Lewis; T Bassford; J A Cauley; M S LeBoff; S B Going; Z Chen
Journal:  Osteoporos Int       Date:  2010-08-25       Impact factor: 4.507

Review 6.  Epidemiology of fracture risk with advancing age.

Authors:  Kristine E Ensrud
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-07-05       Impact factor: 6.053

7.  Trends in obesity and arthritis among baby boomers and their predecessors, 1971-2002.

Authors:  Suzanne G Leveille; Christina C Wee; Lisa I Iezzoni
Journal:  Am J Public Health       Date:  2005-07-28       Impact factor: 9.308

8.  Does obesity really make the femur stronger? BMD, geometry, and fracture incidence in the women's health initiative-observational study.

Authors:  Thomas J Beck; Moira A Petit; Guanglin Wu; Meryl S LeBoff; Jane A Cauley; Zhao Chen
Journal:  J Bone Miner Res       Date:  2009-08       Impact factor: 6.741

Review 9.  Diagnosis of osteoporosis and assessment of fracture risk.

Authors:  John A Kanis
Journal:  Lancet       Date:  2002-06-01       Impact factor: 79.321

10.  The bone-muscle relationship in men and women.

Authors:  Thomas F Lang
Journal:  J Osteoporos       Date:  2011-10-05
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  2 in total

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

Authors:  Edgar Denova-Gutiérrez; Patricia Clark; Ricardo Francisco Capozza; Laura Marcela Nocciolino; Jose Luis Ferretti; Rafael Velázquez-Cruz; Berenice Rivera; Gustavo Roberto Cointry; Jorge Salmerón
Journal:  J Bone Miner Metab       Date:  2018-12-04       Impact factor: 2.626

2.  Relationship between pulmonary function and physical performance among community-living people: results from Look-up 7+ study.

Authors:  Francesco Landi; Sara Salini; Maria Beatrice Zazzara; Anna Maria Martone; Sofia Fabrizi; Mariangela Bianchi; Matteo Tosato; Anna Picca; Riccardo Calvani; Emanuele Marzetti
Journal:  J Cachexia Sarcopenia Muscle       Date:  2019-12-04       Impact factor: 12.910

  2 in total

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