2011
DOI: 10.1016/j.archger.2011.01.002
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Influence of lean and fat mass on bone mineral density (BMD) in postmenopausal women with osteoporosis

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Cited by 39 publications
(24 citation statements)
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“…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: 81%
“…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: 81%
“…By contrast, a number of previous studies have observed that increased BMI is a positive factor on femur cortical bone mass due to its effect on leptin signaling (12). However, an increasing number of studies have indicated that obesity in female mice is accompanied by bone loss (8,(13)(14)(15). This may be due to the role of adipose tissue as an endocrine organ, secreting pro-inflammatory cytokines, whose effects damage the trabecular bone (16).…”
Section: Discussionmentioning
confidence: 52%
“…Body weight is made up of two components, fat mass and lean mass. The relative contribution of these two components to the variation in BMD has been controversial, although in postmenopausal women fat mass has been often shown to be important (Reid et al 1992, Dytfeld et al 2011. The intimate association between fat and bone has been extensively described.…”
Section: Introductionmentioning
confidence: 99%