Literature DB >> 16151673

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

L M Semanick1, T J Beck, J A Cauley, V W Wheeler, A L Patrick, C H Bunker, J M Zmuda.   

Abstract

Osteoporotic fractures are less prevalent in African Americans than in caucasians, possibly because of differences in bone structural strength. Bone structural adaptation can be attributed to changes in load, crudely measured as lean and fat mass throughout life. The purpose of this analysis was to describe the associations of leg lean mass, total body fat mass, and hours walked per week with femoral bone mineral density (BMD) and bone geometry in a cross-sectional sample of 1,748 men of African descent between the ages of 40 and 79 years. BMD, section modulus (Z), cross-sectional area (CSA), and subperiosteal width were measured from dual energy X-ray absortiometry (DXA) scans using the hip structural analysis (HSA) program. Multiple linear regression models explained 35% to 48% of the variance in bending (Z) and axial (CSA) strength at the femoral neck and shaft. Independent of all covariates including total body fat mass, one standard deviation increase in leg lean mass was significantly associated with a 5% to 8% higher Z, CSA, and BMD (P < 0.010) at the neck and shaft. The number of hours walked per week was not a strong or consistent independent predictor of bone geometry or BMD. We have shown that weight is the strongest independent predictor of femur BMD and geometric strength although the effect appears to be mediated by lean mass since leg lean mass fraction and total body fat mass fraction had significant and opposing effects at the narrow neck and shaft in this group of middle aged and elderly men.

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Year:  2005        PMID: 16151673     DOI: 10.1007/s00223-005-0037-4

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  8 in total

1.  Age trends in proximal femur geometry in men: variation by race and ethnicity.

Authors:  T G Travison; T J Beck; G R Esche; A B Araujo; J B McKinlay
Journal:  Osteoporos Int       Date:  2007-11-24       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

3.  Lean mass and not fat mass is associated with male proximal femur strength.

Authors:  Thomas G Travison; Andre B Araujo; Gretchen R Esche; Thomas J Beck; John B McKinlay
Journal:  J Bone Miner Res       Date:  2008-02       Impact factor: 6.741

4.  Lean mass predicts hip geometry in men and women with non-insulin-requiring type 2 diabetes mellitus.

Authors:  Kendall F Moseley; Devon A Dobrosielski; Kerry J Stewart; Deborah E Sellmeyer; Suzanne M Jan De Beur
Journal:  J Clin Densitom       Date:  2011-06-11       Impact factor: 2.617

5.  The Association of Body Size, Shape and Composition with Vertebral Size in Midlife - The Northern Finland Birth Cohort 1966 Study.

Authors:  Petteri Oura; Marjukka Nurkkala; Juha Auvinen; Jaakko Niinimäki; Jaro Karppinen; Juho-Antti Junno
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

6.  Ancient origins of low lean mass among South Asians and implications for modern type 2 diabetes susceptibility.

Authors:  Emma Pomeroy; Veena Mushrif-Tripathy; Tim J Cole; Jonathan C K Wells; Jay T Stock
Journal:  Sci Rep       Date:  2019-07-19       Impact factor: 4.379

7.  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

8.  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

  8 in total

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