Body Composition by Three-Compartment Model and Relative Validity of Some Methods to Assess Percentage Body Fat in Mexican Healthy Elderly Subjects

Gerontology ◽  
2004 ◽  
Vol 50 (6) ◽  
pp. 366-372 ◽  
Author(s):  
Heliodoro Alemán-Mateo ◽  
Julián Esparza Romero ◽  
Nayeli Macías Morales ◽  
Gabriela Salazar ◽  
Manuel Hernández Triana ◽  
...  
1994 ◽  
Vol 71 (6) ◽  
pp. 823-833 ◽  
Author(s):  
Marjolein Visser ◽  
Ellen Van Den Heuvel ◽  
Paul Deurenberg

To study the relationship between health and nutritional status in elderly populations, information about body composition is essential. To collect this information in large epidemiological studies, practical methods based on anthropometric data must be available. In the present study the relationship between body composition, determined by densitometry, and anthropometric data in 204 elderly men and women, aged 60–87 years, was analysed. Existing prediction equations described in the literature, and mainly based on young and middle-aged subjects, generally underestimated percentage body fat in the elderly study population. Therefore, new prediction equations were developed, based on sex and the sum of two (biceps and triceps) or four (biceps, triceps, suprailiaca and subscapula) skinfolds or the body mass index (BMI). Addition of age or body circumferences to the models did not improve the prediction of body density. Internal cross validation and external validation revealed that the formulas are valid for the estimation of body density in elderly subjects. The standard errors of estimate of the three models, expressed as percentage body fat, were 5.6, 5.4 and 4.8% respectively.


2011 ◽  
Vol 30 (4) ◽  
pp. 436-442 ◽  
Author(s):  
Laurence Genton ◽  
Véronique L. Karsegard ◽  
Thierry Chevalley ◽  
Michel P. Kossovsky ◽  
Patrice Darmon ◽  
...  

2018 ◽  
Vol 9 (6) ◽  
pp. 843-853 ◽  
Author(s):  
T. Inoue ◽  
Y. Kobayashi ◽  
N. Mori ◽  
M. Sakagawa ◽  
J.-Z. Xiao ◽  
...  

Physical exercise exerts favourable effects on brain health and quality of life of the elderly; some of these positive health effects are induced by the modulation of microbiota composition. We therefore conducted a randomised, double blind, placebo-controlled trial that assessed whether a combination of Bifidobacterium spp. supplementation and moderate resistance training improved the cognitive function and other health-related parameters in healthy elderly subjects. Over a 12-week period, 38 participants (66-78 years) underwent resistance training and were assigned to the probiotic Bifidobacterium supplementation (n=20; 1.25×1010 cfu each of Bifidobacterium longum subsp. longum BB536, B. longum subsp. infantis M-63, Bifidobacterium breve M-16V and B. breve B-3) or the placebo (n=18) group. At baseline and at 12 weeks, we assessed the cognitive function, using the Japanese version of the Montreal Cognitive Assessment instrument (MoCA-J); modified flanker task scores; depression-anxiety scores; body composition; and bowel habits. At 12 weeks, the MoCA-J scores showed a significant increase in both the groups, while the flanker task scores of the probiotic group increased more significantly than those of the placebo group (0.35±0.9 vs -0.29±1.1, P=0.056). Only the probiotic group showed a significant decrease in the depression-anxiety scores (5.2±6.3 to 3.4±5.5, P=0.012) and body mass index (24.0±2.8 to 23.5±2.8 kg/m2, P<0.001), with a significant increase in the defecation frequency (5.3±2.3 to 6.4±2.3 times/5 days, P=0.023) at 12 weeks. Thus, in healthy elderly subjects, combined probiotic bifidobacteria supplementation and moderate resistance training may improve the mental condition, body weight and bowel movement frequency.


2003 ◽  
Vol 42 (4) ◽  
pp. 207-216 ◽  
Author(s):  
A. Bosy-Westphal ◽  
M. Mast ◽  
C. Eichhorn ◽  
C. Becker ◽  
D. Kutzner ◽  
...  

Diabetes ◽  
1982 ◽  
Vol 31 (3) ◽  
pp. 203-211 ◽  
Author(s):  
J. J. Robert ◽  
J. C. Cummins ◽  
R. R. Wolfe ◽  
M. Durkot ◽  
D. E. Matthews ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Giulia Fusi ◽  
Elena Ferrari ◽  
Marina Zanetti ◽  
Maura Crepaldi ◽  
Carol Bersanini ◽  
...  

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