Contributions of lean mass and fat mass to bone mineral density: A study in postmenopausal women

Ho-Pham, LT; Nguyen, ND; Lai, TQ; Nguyen, TV

Contributions of lean mass and fat mass to bone mineral density: A study in postmenopausal women

Ho-Pham, LT Nguyen, ND Lai, TQ Nguyen, TV

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Publication Type:: Journal Article
Citation:: BMC Musculoskeletal Disorders, 2010, 11
Issue Date:: 2010-05-26

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Field	Value	Language
dc.contributor.author	Ho-Pham, LT	en_US
dc.contributor.author	Nguyen, ND	en_US
dc.contributor.author	Lai, TQ	en_US
dc.contributor.author	Nguyen, TV https://orcid.org/0000-0002-3246-6281	en_US
dc.date.available	2010-03-26	en_US
dc.date.issued	2010-05-26	en_US
dc.identifier.citation	BMC Musculoskeletal Disorders, 2010, 11	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28735
dc.description.abstract	Background. The relative contribution of lean and fat to the determination of bone mineral density (BMD) in postmenopausal women is a contentious issue. The present study was undertaken to test the hypothesis that lean mass is a better determinant of BMD than fat mass. Methods. This cross-sectional study involved 210 postmenopausal women of Vietnamese background, aged between 50 and 85 years, who were randomly sampled from various districts in Ho Chi Minh City (Vietnam). Whole body scans, femoral neck, and lumbar spine BMD were measured by DXA (QDR 4500, Hologic Inc., Waltham, MA). Lean mass (LM) and fat mass (FM) were derived from the whole body scan. Furthermore, lean mass index (LMi) and fat mass index (FMi) were calculated as ratio of LM or FM to body height in metre squared (m2). Results. In multiple linear regression analysis, both LM and FM were independent and significant predictors of BMD at the spine and femoral neck. Age, lean mass and fat mass collectively explained 33% variance of lumbar spine and 38% variance of femoral neck BMD. Replacing LM and FM by LMi and LMi did not alter the result. In both analyses, the influence of LM or LMi was greater than FM and FMi. Simulation analysis suggested that a study with 1000 individuals has a 78% chance of finding the significant effects of both LM and FM, and a 22% chance of finding LM alone significant, and zero chance of finding the effect of fat mass alone. Conclusions. These data suggest that both lean mass and fat mass are important determinants of BMD. For a given body size - measured either by lean mass or height - women with greater fat mass have greater BMD. © 2010 Ho-Pham et al; licensee BioMed Central Ltd.	en_US
dc.relation.ispartof	BMC Musculoskeletal Disorders	en_US
dc.relation.isbasedon	10.1186/1471-2474-11-59	en_US
dc.subject.classification	Orthopedics	en_US
dc.subject.mesh	Adipose Tissue	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Osteoporosis, Postmenopausal	en_US
dc.subject.mesh	Obesity	en_US
dc.subject.mesh	Body Weight	en_US
dc.subject.mesh	Thinness	en_US
dc.subject.mesh	Absorptiometry, Photon	en_US
dc.subject.mesh	Anthropometry	en_US
dc.subject.mesh	Body Mass Index	en_US
dc.subject.mesh	Risk Factors	en_US
dc.subject.mesh	Regression Analysis	en_US
dc.subject.mesh	Cross-Sectional Studies	en_US
dc.subject.mesh	Aging	en_US
dc.subject.mesh	Bone Density	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Aged, 80 and over	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Asian Continental Ancestry Group	en_US
dc.subject.mesh	Vietnam	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Fractures, Bone	en_US
dc.title	Contributions of lean mass and fat mass to bone mineral density: A study in postmenopausal women	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.for	1103 Clinical Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	11	en_US

Abstract:

Background. The relative contribution of lean and fat to the determination of bone mineral density (BMD) in postmenopausal women is a contentious issue. The present study was undertaken to test the hypothesis that lean mass is a better determinant of BMD than fat mass. Methods. This cross-sectional study involved 210 postmenopausal women of Vietnamese background, aged between 50 and 85 years, who were randomly sampled from various districts in Ho Chi Minh City (Vietnam). Whole body scans, femoral neck, and lumbar spine BMD were measured by DXA (QDR 4500, Hologic Inc., Waltham, MA). Lean mass (LM) and fat mass (FM) were derived from the whole body scan. Furthermore, lean mass index (LMi) and fat mass index (FMi) were calculated as ratio of LM or FM to body height in metre squared (m2). Results. In multiple linear regression analysis, both LM and FM were independent and significant predictors of BMD at the spine and femoral neck. Age, lean mass and fat mass collectively explained 33% variance of lumbar spine and 38% variance of femoral neck BMD. Replacing LM and FM by LMi and LMi did not alter the result. In both analyses, the influence of LM or LMi was greater than FM and FMi. Simulation analysis suggested that a study with 1000 individuals has a 78% chance of finding the significant effects of both LM and FM, and a 22% chance of finding LM alone significant, and zero chance of finding the effect of fat mass alone. Conclusions. These data suggest that both lean mass and fat mass are important determinants of BMD. For a given body size - measured either by lean mass or height - women with greater fat mass have greater BMD. © 2010 Ho-Pham et al; licensee BioMed Central Ltd.

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http://hdl.handle.net/10453/28735