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Influence of lean and fat mass on bone mineral density (BMD) in postmenopausal women with osteoporosis. 2011

Joanna Dytfeld, and Magdalena Ignaszak-Szczepaniak, and Ewelina Gowin, and Michał Michalak, and Wanda Horst-Sikorska
Department of Family Medicine, Poznań University of Medical Sciences, Przybyszewskiego St 49, 60-533 Poznan, Poland. dytfeld@poczta.onet.pl

Despite known positive association between body mass and bone mineral density (BMD), relative contribution of fat and lean tissue to BMD remains under debate. We aimed at investigating the effect of selected anthropometric parameters, including fat content and lean body mass (LBM) on BMD in postmenopausal, osteoporotic women with body mass index (BMI) > 20 kg/m(2). The study involved 92 never-treated women (mean age 69.5 ± 7.3). L1-L4 and femoral neck (FN) BMD were measured by dual energy X-ray absorptiometry (DEXA). Absolute (kg) and relative (%) fat and LBM were assessed by means of electric bioimpedance method. We showed both FN and L1-L4 BMD were positively correlated with body mass, waist circumference (WC), hip circumference (HC) and LBM (kg). Fat content correlated with FN BMD (r = 0.36, p < 0.001). Regression analysis revealed the only predictor of L1-L4 BMD was LBM (R(2) = 0.18, p < 0.05), for FN--both LBM and fat (R(2) = 0.18, p < 0.05 and p < 0.001, respectively). Of the women, 44.5% were overweight, 18.4% obese. Obese women displayed the highest BMD. Both L1-L4 and FN BMD were higher in women with WC > 80 cm. In postmenopausal osteoporotic women with BMI > 20 kg/m(2) both fat and lean tissue might contribute to BMD. Positive association between body mass and BMD does not make obesity and osteoporosis mutually exclusive.

UI MeSH Term Description Entries
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011044 Poland A country in central Europe, east of Germany. The capital is Warsaw. Polish People's Republic,Republic of Poland
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000369 Aged, 80 and over Persons 80 years of age and older. Oldest Old
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D013851 Thinness A state of insufficient flesh on the body usually defined as having a body weight less than skeletal and physical standards, such as BODY MASS INDEX, and dependent on age, sex, and genetic background. Leanness,Underweight
D015502 Absorptiometry, Photon A noninvasive method for assessing BODY COMPOSITION. It is based on the differential absorption of X-RAYS (or GAMMA RAYS) by different tissues such as bone, fat and other soft tissues. The source of (X-ray or gamma-ray) photon beam is generated either from radioisotopes such as GADOLINIUM 153, IODINE 125, or Americanium 241 which emit GAMMA RAYS in the appropriate range; or from an X-ray tube which produces X-RAYS in the desired range. It is primarily used for quantitating BONE MINERAL CONTENT, especially for the diagnosis of OSTEOPOROSIS, and also in measuring BONE MINERALIZATION. Absorptiometry, X-Ray,Dual-Photon Absorptiometry,Photodensitometry, X-Ray,Photon Absorptiometry,Single-Photon Absorptiometry,X-Ray Absorptiometry,Absorptiometry, Dual X-Ray,Absorptiometry, Dual-Energy Radiographic,Absorptiometry, Dual-Energy X-Ray,DEXA Scan,DPX Absorptiometry,DXA Scan,Densitometry, X-Ray,Densitometry, Xray,Dual X-Ray Absorptiometry,Dual-Energy Radiographic Absorptiometry,Dual-Energy X-Ray Absorptiometry,Dual-Energy X-Ray Absorptiometry Scan,Radiographic Absorptiometry, Dual-Energy,X-Ray Absorptiometry, Dual-Energy,X-Ray Photodensitometry,Absorptiometries, DPX,Absorptiometry, DPX,Absorptiometry, Dual Energy Radiographic,Absorptiometry, Dual Energy X Ray,Absorptiometry, Dual X Ray,Absorptiometry, Dual-Photon,Absorptiometry, Single-Photon,Absorptiometry, X Ray,DEXA Scans,DXA Scans,Densitometry, X Ray,Dual Energy Radiographic Absorptiometry,Dual Energy X Ray Absorptiometry,Dual Energy X Ray Absorptiometry Scan,Dual Photon Absorptiometry,Dual X Ray Absorptiometry,Photodensitometry, X Ray,Radiographic Absorptiometry, Dual Energy,Scan, DEXA,Scan, DXA,Scans, DEXA,Scans, DXA,Single Photon Absorptiometry,X Ray Absorptiometry,X Ray Absorptiometry, Dual Energy,X Ray Photodensitometry,X-Ray Absorptiometry, Dual,X-Ray Densitometry,Xray Densitometry

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