2008
DOI: 10.1359/jbmr.071016
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Lean Mass and Not Fat Mass Is Associated With Male Proximal Femur Strength

Abstract: Obesity is suspected to confer protection against fracture, but evidence is mixed. We examined proximal femur geometry and body composition measures in a diverse group of 1171 men (30-79 yr of age). Analyses showed that nonbone lean mass, but not fat mass, is independently associated with measures of proximal femur density, axial and bending strength, and resistance to buckling. Introduction: Obesity is often said to confer protection against fracture, but the mechanisms driving such an association remain poor… Show more

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Cited by 110 publications
(87 citation statements)
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References 55 publications
(107 reference statements)
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“…However, although being of smaller stature, gymnasts had greater BMD than all groups, which suggests superiority in bone mineral and strength. Importantly, and in agreement with several previous studies (DiVasta et al, 2007;Travison et al, 2008), total lean body mass was found to be a significant predictor in measures of BMD, CSA, CSMI, and FSI, whereas total body fat percentage was not. Lean body mass is recognised as a surrogate for the muscle loading forces that direct bone adaptation.…”
Section: Discussionsupporting
confidence: 92%
“…However, although being of smaller stature, gymnasts had greater BMD than all groups, which suggests superiority in bone mineral and strength. Importantly, and in agreement with several previous studies (DiVasta et al, 2007;Travison et al, 2008), total lean body mass was found to be a significant predictor in measures of BMD, CSA, CSMI, and FSI, whereas total body fat percentage was not. Lean body mass is recognised as a surrogate for the muscle loading forces that direct bone adaptation.…”
Section: Discussionsupporting
confidence: 92%
“…The multiple regression analyses, revealed that these constitutive and body composition factors make the strongest contribution to explained the dependents variables, when the variance explained by all other variables in the model was controlled for. Specifically, age, TLTM and TFM for FNBMD in both genders and TFM in men and TFM and age in women for LSBMD and FSI, Other studies have shown that age (Hannan et al, 2000), BM (Dargent-Molina et al, 2000;Felson et al, 1993), TLTM (Dytfeld et al, 2011;Ho-Pham et al, 2010;Travison, Araujo, Esche, Beck, & McKinlay 2008) and TFM (Ho-Pham et al, 2010) are important predictors of BMD in older adults males and females, corroborating our findings. Results from multiple regression analysis in our study, showed that age, TLTM and TFM entered as the primary and most significant contributors for FNBMD in our study, accounting for between 13-21.1% and 16.2-36.9% of the explained variation in these measures in males and females, respectively.…”
Section: Predictorssupporting
confidence: 91%
“…Opposite results have also been reported showing that lean mass, not fat mass, is more closely associated with BMD. Still other studies have found that both lean mass and fat mass were significant predictors of BMD, with lean mass being a more important predictor than fat mass in premenopausal women, and fat mass more important than lean mass in postmenopausal women (3,(12)(13)(14). Moreover, Gnudi et al (15) found that the relationship between BMD and body composition is different between women with or without osteoporosis.…”
Section: Introductionmentioning
confidence: 96%