Lean Body Mass, Not Total Body Size, is a Stronger Determinant of Total Body Bone Mass in Boys

Bone ◽  
2010 ◽  
Vol 46 ◽  
pp. S80
Author(s):  
Tom Sanchez ◽  
Jingmei Wang ◽  
Chad Dudzek ◽  
George Ekker ◽  
Kathy Dudzek
Keyword(s):  
Body Size ◽  
Bone Mass ◽  
Lean Body Mass ◽  
Body Mass ◽  
Total Body ◽  
Body Bone

Total body bone mineral and lean body mass by dual-photon absorptiometry

1981 ◽  
Vol 33 (1) ◽  
pp. 361-363 ◽  
Author(s):  
B. Mazess ◽  
Walter W. Peppler ◽  
Charles H. Chesnut ◽  
Wil B. Nelp ◽  
Stanton H. Cohn ◽  
...  
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Bone Mineral ◽  
Dual Photon Absorptiometry ◽  
Photon Absorptiometry ◽  
Total Body ◽  
Total Body Bone Mineral ◽  
Body Bone

Total body bone mineral and lean body mass by dual-photon absorptiometry

1981 ◽  
Vol 33 (1) ◽  
pp. 365-368 ◽  
Author(s):  
R. B. Mazess ◽  
W. W. Peppler ◽  
J. E. Harrison ◽  
K. G. McNeill
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Bone Mineral ◽  
Dual Photon Absorptiometry ◽  
Photon Absorptiometry ◽  
Total Body ◽  
Total Body Bone Mineral ◽  
Body Bone

scholarly journals Abnormal bone mineral density and content in girls with early-onset anorexia nervosa

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Julia Clarke ◽  
Hugo Peyre ◽  
Marianne Alison ◽  
Anne Bargiacchi ◽  
Coline Stordeur ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Anorexia Nervosa ◽  
Lean Body Mass ◽  
Body Mass ◽  
Bone Mineral ◽  
Mineral Content ◽  
Mineral Density ◽  
Total Body ◽  
Total Body Bone Mineral ◽  
Body Bone

Abstract Background Early-onset anorexia nervosa (EO-AN) represents a significant clinical burden to paediatric and mental health services. The impact of EO-AN on bone mineral abnormalities has not been thoroughly investigated due to inadequate control for pubertal status. In this study, we investigated bone mineral abnormalities in girls with EO-AN regardless of pubertal development stage. Method We conducted a cross-sectional study of 67 girls with EO-AN (median age = 12.4 [10.9–13.7 years]) after a median duration of disease of 1.3 [0.6–2.0] years, and 67 healthy age-, sex-, pubertal status- matched control subjects. We compared relevant bone mineral parameters between groups: the total body bone mineral density [TB-BMD], the lumbar spine BMD [LS-BMD], the total body bone mineral content [TB-BMC] and the ratio of the TB-BMC to lean body mass [TB-BMC/LBM]. Results TB-BMD, TB-BMC, LS-BMD and TB-BMC/LBM were all significantly lower in patients with AN compared to controls. In the EO-AN group, older age, later pubertal stages and higher lean body mass were associated with higher TB-BMC, TB-BMD, and LS-BMD values. Discussion Girls with EO-AN displayed deficits in bone mineral content and density after adjustment for pubertal maturation. Age, higher pubertal stage and lean body mass were identified as determinants of bone maturation in the clinical population of patients with EO-AN. Bone health should be promoted in patients, specifically in those with an onset of disorder before 14 years old and with a delayed puberty.

Relationship between Indicators of Fitness and Bone Density in Adolescent Brazilian Children

2008 ◽  
Vol 20 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Rômulo Maia Carlos Fonseca ◽  
Nanci Maria de França ◽  
Emmanuel Van Praagh
Keyword(s):  
Lumbar Spine ◽  
Bone Mass ◽  
Lean Body Mass ◽  
Body Mass ◽  
Proximal Femur ◽  
Stepwise Multiple Regression ◽  
Mineral Density ◽  
Muscular Fitness ◽  
Cross Sectional ◽  
Total Body

The purpose of the current study was to investigate the relationship between health-related physical fitness and bone mineral density (BMD) in adolescents. One hundred forty-four adolescents (65 boys and 79 girls) between 15 and 18 years of age were recruited to this cross-sectional study. Subjects were evaluated in aerobic fitness, muscular fitness, flexibility, body composition, and maturation. BMD of the lumbar spine, total body, and proximal femur were measured by a dual-energy X-ray absorptionmeter. Pearson’s correlation and stepwise multiple regression analyses were used (p < .05). Lean body mass (LBM) and abdominal muscular fitness explained 35–40% of proximal femur BMD in whole group and boys’ total body BMD (43%); however, VO2max and LBM predicted girls’ total body BMD (23%). Lumbar spine BMD was predicted only by LBM for both genders (18% boys, 15% girls). In summary, lean body mass is the main predictor of bone mass during the end of adolescence, regardless of gender, whereas muscular fitness contributes more to bone mass among males than among females.

Body fat from body density: underwater weighing vs. dual-photon absorptiometry

1989 ◽  
Vol 256 (6) ◽  
pp. E829-E834 ◽  
Author(s):  
J. Wang ◽  
S. B. Heymsfield ◽  
M. Aulet ◽  
J. C. Thornton ◽  
R. N. Pierson
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Dual Photon Absorptiometry ◽  
Photon Absorptiometry ◽  
Translation Table ◽  
The Difference ◽  
Total Body ◽  
Highly Correlated ◽  
Total Body Bone Mineral ◽  
Body Bone

We measured fat in 286 healthy volunteers by underwater weighing (FUWW) and dual-photon absorptiometry (FDPA) to develop a translation table for the differing results from these entirely different techniques and to study the sources of these differences. In 99 males and 187 females aged 19-94 yr, fatness was 7-47%. Prediction equations are presented for FUWW-FDPA (delta F), density of lean body mass (DLBM), and FDPA. FUWW and FDPA were significantly different from each other (P less than 0.01). Calculated DLBM is less than the assumed constant of 1.10 (P less than 0.01), ranging widely from 1.05 to 1.13 and being highly correlated with the ratio of total body bone mineral to lean body mass (TBBM/LBM). delta F, the differences between FUWW and FDPA measurements in individual subjects, varied widely (-7 to +11% in males and -18 to +13% in females). The difference was positively correlated with the DLBM. FUWW was no better than anthropometrics in equations for predicting FDPA. The FDPA predicted from anthropometrics showed smaller standard errors than when FUWW was used. Neither anthropometrics nor FUWW equations are clearly superior to those previously available.

Increases in adipose and total body weight, but not in lean body mass, associated with subcutaneous administration of Sonic hedgehog-Ig fusion protein to mice

2002 ◽  
Vol 57 (3) ◽  
pp. 107-114 ◽  
Author(s):  
Pauline L. Martin ◽  
Joan Lane ◽  
Louise Pouliot ◽  
Malcolm Gains ◽  
Rudolph Stejskal ◽  
...  
Keyword(s):  
Body Weight ◽  
Fusion Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Sonic Hedgehog ◽  
Subcutaneous Administration ◽  
Total Body Weight ◽  
Total Body

scholarly journals Control of total body fluid amount in uremic patients using the concept of lean body mass

1984 ◽  
Vol 17 (1) ◽  
pp. 63-65
Author(s):  
Akihiro Yamashita ◽  
Kazuhiro Ando ◽  
Katsuo Yoshimoto ◽  
Hideo Hidai ◽  
Kohji Shiraishi ◽  
...  
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Body Fluid ◽  
Uremic Patients ◽  
Total Body

Abstract P249: Determinants of Descending Aortic Dimensions in a Multi-Ethnic Population: The Dallas Heart Study

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
David A Guel ◽  
Matthias Peltz ◽  
Amit Khera ◽  
Donald D McIntire ◽  
Ronald M Peshock ◽  
...  
Keyword(s):  
Body Size ◽  
Body Mass ◽  
Univariate Analysis ◽  
Aortic Diameter ◽  
Body Fat Mass ◽  
Hip Circumference ◽  
Total Body Fat ◽  
Total Body ◽  
Aortic Size ◽  
Aortic Dimensions

Introduction: Accurate description of normal aortic size is fundamental to our ability to define aortic aneurysms. However, current definitions of normal aortic dimensions are based on small population samples with limited data on other variables. This study used data from a large unselected community population to define normal aortic dimensions and to examine relationships between aortic size and demographic and anthropometric variables. Methods: Data came from a validated multiethnic urban population sample. Adults (age 18 – 65) underwent collection of demographic and medical history data. A subset of participants (n=2643) underwent gated aortic MRI to measure descending aortic diameter at the level of the pulmonary artery bifurcation. Age, gender, ethnicity (white, black, Hispanic or other) and multiple indices of body size and composition were collected or calculated from available data (body mass index [BMI], body surface area [BSA]). Dual-energy x-ray absorptiometry was used to calculate total body fat mass and lean body mass. A univariate analysis was performed relating descending aortic diameter to each variable. A stepwise variable selection using a p-value criteria of 0.15 for entry and removal was used to identify variables independently associated with aortic size. Results: By univariate analysis, increased aortic size was associated with increased age, male gender, black ethnicity, and greater height, weight, waist and hip circumference, BMI, BSA , total body fat mass and total body lean mass. By multivariable analysis, age, lean body mass, ethnicity, gender, waist circumference, and hip circumference emerged as significant determinants of descending aortic diameter (see Table). Conclusions: The diameter of the descending aorta appears to increase with age and is larger in certain ethnic groups and in subjects with greater indices of body size. Definitions of normal values for descending aortic dimensions may need to consider these factors.

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