Relationships Among Blood Pressure, Bone Mineral Content and Body Composition in African and European American Women

2014 ◽  
Vol 46 ◽  
pp. 43
Author(s):  
Calvin Lloyd Cole ◽  
Leslie J. Brandon
Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2465
Author(s):  
Elisa Félix-Soriano ◽  
Alejandro Martínez-Gayo ◽  
María José Cobo ◽  
Adriana Pérez-Chávez ◽  
Javier Ibáñez-Santos ◽  
...  

Resistance training (RT) and n-3 polyunsaturated fatty acids (n-3 PUFA) supplementation have emerged as strategies to improve muscle function in older adults. Overweight/obese postmenopausal women (55–70 years) were randomly allocated to one of four experimental groups, receiving placebo (olive oil) or docosahexaenoic acid (DHA)-rich n-3 PUFA supplementation alone or in combination with a supervised RT-program for 16 weeks. At baseline and at end of the trial, body composition, anthropometrical measures, blood pressure and serum glucose and lipid biomarkers were analyzed. Oral glucose tolerance tests (OGTT) and strength tests were also performed. All groups exhibit a similar moderate reduction in body weight and fat mass, but the RT-groups maintained bone mineral content, increased upper limbs lean mass, decreased lower limbs fat mass, and increased muscle strength and quality compared to untrained-groups. The RT-program also improved glucose tolerance (lowering the OGTT incremental area under the curve). The DHA-rich supplementation lowered diastolic blood pressure and circulating triglycerides and increased muscle quality in lower limbs. In conclusion, 16-week RT-program improved segmented body composition, bone mineral content, and glucose tolerance, while the DHA-rich supplement had beneficial effects on cardiovascular health markers in overweight/obese postmenopausal women. No synergistic effects were observed for DHA supplementation and RT-program combination.


2002 ◽  
Vol 29 (5) ◽  
pp. 559-565 ◽  
Author(s):  
G. Bedogni ◽  
C. Mussi ◽  
M. Malavolti ◽  
A. Borghi ◽  
M. Poli ◽  
...  

2019 ◽  
Vol 8 (10) ◽  
pp. 1678
Author(s):  
Irene Coll-Risco ◽  
Pedro Acosta-Manzano ◽  
Milkana Borges-Cosic ◽  
Daniel Camiletti-Moiron ◽  
Pilar Aranda ◽  
...  

We assessed the effects of a 16-week primary-care-based exercise program on body composition in perimenopausal women. The women (n = 150) were randomized into control (n = 75) or exercise (n = 75) groups. Exercise was provided in a 16-week (60 min/session, 3 days/week) concurrent program. Body composition was measured using dual-energy X-ray absorptiometry. These are secondary analyses of the FLAMENCO Project (Clinical Trials Reference NCT02358109). In the intention-to-treat analyses, the control group showed no changes in body mass index (BMI) between post- and pre-test, whereas the exercise group showed a 0.75 kg/m2 decrease in BMI (95% CI: −1.29 to −0.22; p = 0.006). Gynoid and android fat mass in control group decreased by 98.3 g and 46.1 g after the 16 weeks, whereas they decreased by 213 g and 139 g in the exercise group, respectively (95% CI: −209 to −3.86; p = 0.042 and 95% CI: −164 to −26.9; p = 0.007, respectively). The control group decreased their pelvis bone mineral content by 2.85 g in the post-test compared with the pre-test, whereas the exercise group increased it by 1.13 g (95% CI: 0.93 to 7.81; p = 0.013). Per-protocol analyses showed similar results. These analyses suggest that the exercise intervention decreased fat depositions and BMI. Exercise might improve bone mineral content in specific areas such as the pelvis.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Dalmo Machado ◽  
Sérgio Oikawa ◽  
Valdir Barbanti

The aim of this study was to propose and cross-validate an anthropometric model for the simultaneous estimation of fat mass (FM), bone mineral content (BMC), and lean soft tissue (LST) using DXA as the reference method. A total of 408 boys (8–18 years) were included in this sample. Whole-body FM, BMC, and LST were measured by DXA and considered as dependent variables. Independent variables included thirty-two anthropometrics measurements and maturity offset determined by the Mirwald equation. From a multivariate regression model , a matrix analysis was performed resulting in a multicomponent anthropometric model. The cross-validation was executed through the sum of squares of residuals (PRESS) method. Five anthropometric variables predicted simultaneously FM, BMC, and LST. Cross-validation parameters indicated that the new model is accurate with high values ranging from 0.94 to 0.98 and standard error of estimate ranging from 0.01 to 0.09. The newly proposed model represents an alternative to accurately assess the body composition in male pediatric ages.


Bone ◽  
1993 ◽  
Vol 14 (2) ◽  
pp. 93-95 ◽  
Author(s):  
H. Rico ◽  
M. Revilla ◽  
E.R. Hernández ◽  
F. Gómez-Castresana ◽  
L.F. Villa

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