Relationship between visceral adipose tissue and bone mineral density in Australian baby boomers

2020 ◽  
Vol 31 (12) ◽  
pp. 2439-2448 ◽  
Author(s):  
K. Zhu ◽  
M. Hunter ◽  
A. James ◽  
E.M. Lim ◽  
B.R. Cooke ◽  
...  
2020 ◽  
Vol 41 (04) ◽  
pp. 242-247
Author(s):  
Christiana J. Raymond-Pope ◽  
Anna L. Solfest ◽  
Aaron Carbuhn ◽  
Philip R. Stanforth ◽  
Jonathan Oliver ◽  
...  

AbstractThis study aimed to examine body composition using dual X-ray absorptiometry (DXA) in male and female NCAA Division I collegiate basketball athletes. Two-hundred ten (male [M]/female [F]=88/122) basketball athletes’ total and regional fat mass, lean mass, bone mineral density, and visceral adipose tissue were measured. Athletes were classified as: point guards (M/F=27/34), shooting guards (M/F=18/27), small forwards (M/F=13/18), power forwards (M/F=21/27), and centers (M/F=9/16). ANOVA and Tukey’s HSD assessed positional differences by sex. In males, centers and power forwards had greater total fat mass (p<0.025), lean mass (p≤0.001), and visceral adipose tissue (p<0.001) than other positions. Male centers had greater arm and leg fat mass and lean mass than point guards, shooting guards, and small forwards (p≤0.049), and greater arm bone mineral density than point guards (p=0.015). In females, centers had greater total fat mass (p<0.001) vs. other positions and greater total lean mass, arm fat and lean masses, arm and leg bone mineral density, and visceral adipose tissue vs. point guards and shooting guards (p≤0.005). Female point guards had lower total bone mineral density than power forwards (p=0.008). In conclusion, these sex- and position-specific total and regional body composition measurements in collegiate basketball players provide population-specific normative data.


Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 240
Author(s):  
Egon Burian ◽  
Lioba Grundl ◽  
Tobias Greve ◽  
Daniela Junker ◽  
Nico Sollmann ◽  
...  

In this case-control study the value of bone mineral density (BMD) at different vertebral levels, subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT) to identify patients with incident osteoporotic vertebral fractures in routine multi-detector computed tomography (MDCT) exams was assessed. Material and methods: Seventeen patients who underwent baseline and follow-up routine contrast-enhanced MDCT and had an incident osteoporotic vertebral fracture at follow-up were included. Seventeen age-, sex- and follow-up duration-matched controls were identified. Trabecular BMD (from Th5 to L5) as well as cross-sectional area of SAT and VAT were extracted. Results: BMD performed best to differentiate patients with an incident fracture from controls at the levels of Th5 (area under the curve [AUC] = 0.781, p = 0.014), Th7 (AUC = 0.877, p = 0.001), and Th9 (AUC = 0.818, p = 0.005). Applying multivariate logistic regression BMD at Th7 level remained the only significant predictor of incident vertebral fractures (Th5-L5) with an odds ratio of 1.07 per BMD SD decrease. VAT and SAT did not show significant differences between the fracture and control group (p > 0.05). Conclusion: The local BMD measurement appears to be more suitable than standard mean BMD from L1–L3 for fracture risk assessment.


Metabolites ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 604
Author(s):  
Berenice Palacios-González ◽  
Guadalupe León-Reyes ◽  
Berenice Rivera-Paredez ◽  
Isabel Ibarra-González ◽  
Marcela Vela-Amieva ◽  
...  

Recent evidence shows that obesity correlates negatively with bone mass. However, traditional anthropometric measures such as body mass index could not discriminate visceral adipose tissue from subcutaneous adipose tissue. The visceral adiposity index (VAI) is a reliable sex-specified indicator of visceral adipose distribution and function. Thus, we aimed to identify metabolomic profiles associated with VAI and low bone mineral density (BMD). A total of 602 individuals from the Health Workers Cohort Study were included. Forty serum metabolites were measured using the targeted metabolomics approach, and multivariate regression models were used to test associations of metabolomic profiles with anthropometric, clinical, and biochemical parameters. The analysis showed a serum amino acid signature composed of glycine, leucine, arginine, valine, and acylcarnitines associated with high VAI and low BMD. In addition, we found a sex-dependent VAI in pathways related to primary bile acid biosynthesis, branched-chain amino acids, and the biosynthesis of pantothenate and coenzyme A (CoA). In conclusion, a metabolic profile differs by VAI and BMD status, and these changes are gender-dependent.


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