Literature DB >> 19082777

Association between bone mineral density, lean mass, and fat mass among healthy middle-aged premenopausal women: a cross-sectional study in southern Sri Lanka.

Sarath Lekamwasam1, Thilak Weerarathna, Mahinda Rodrigo, Wasantha Kodikara Arachchi, Duminda Munidasa.   

Abstract

Associations between lean mass, fat mass, and bone mass have been reported earlier; however, most of those studies have been done in Caucasian populations, and data from Asian countries, especially those in South Asia, are limited. We examined the associations between lean mass, fat mass, bone mineral density (BMD), and bone mineral content (BMC), determined by dual-energy X-ray absorptiometry technology, in a group of healthy, middle-aged, premenopausal female volunteers. The mean (SD) age of the women (n = 106) was 42.1 (6.1) years and the mean (SD) body mass index was 24.3 (3.6) kg/m(2). Total body BMD, total body BMC, and BMD in total spine, total hip, and femoral neck showed statistically significant partial correlations (adjusted for age) with total fat mass (r = 0.19-0.43, P < 0.05) and lean body mass (r = 0.28-0.54, P < 0.05). Truncal fat mass correlated positively with total body BMC and BMD at total hip and femoral neck (r = 0.33-0.40, P < 0.001). When a stepwise regression model was fitted, lean mass remained the strongest predictor of total body BMD, total body BMC, and total spine BMD (regression coefficients = 0.004-0.008 g/cm(2) per 1-kg change in lean mass, P < 0.001). Similarly, crude BMD and BMC increased across the tertiles of lean mass (P trend < 0.05). We show that lean mass is the strongest predictor of total body BMC and BMD at different sites, although positive correlations with fat mass also exist.

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Year:  2008        PMID: 19082777     DOI: 10.1007/s00774-008-0006-x

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


  23 in total

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4.  An update on the diagnosis and assessment of osteoporosis with densitometry. Committee of Scientific Advisors, International Osteoporosis Foundation.

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7.  Precision and accuracy of dual-energy X-ray absorptiometry for determining in vivo body composition of mice.

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8.  Measurement of spinal bone mineral density on a Hologic Discovery DXA scanner with and without leg elevation.

Authors:  Sarath Lekamwasam; Mahinda Rodrigo; Wasantha Kodikara Arachchi; Duminda Munidasa
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9.  A common polymorphism in the 5'-untranslated region of the aromatase gene influences bone mass and fracture risk.

Authors:  Maria T Zarrabeitia; José L Hernández; Carmen Valero; Ana L Zarrabeitia; Mayte García-Unzueta; José A Amado; Jesús González-Macías; José A Riancho
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Authors:  I R Reid; L D Plank; M C Evans
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  16 in total

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4.  Relationship of sarcopenia and body composition with osteoporosis.

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5.  Predicting osteoporosis with body compositions in postmenopausal women: a non-invasive method.

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6.  Relation between obesity and bone mineral density and vertebral fractures in Korean postmenopausal women.

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7.  An investigation into the relationship between soft tissue body composition and bone mineral density in a young adult twin sample.

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8.  Aged-Related Changes in Body Composition and Association between Body Composition with Bone Mass Density by Body Mass Index in Chinese Han Men over 50-year-old.

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9.  Association of weight-adjusted body fat and fat distribution with bone mineral density in middle-aged chinese adults: a cross-sectional study.

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10.  Bone mineral density and body composition of adult premenopausal women with three levels of physical activity.

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