Improvement of Cognitive Function by Mental and/or Individualized Aerobic Training in Healthy Elderly Subjects

2002 ◽  
Vol 23 (6) ◽  
pp. 415-421 ◽  
Author(s):  
C. Fabre ◽  
K. Chamari ◽  
P. Mucci ◽  
J. Massé-Biron ◽  
C. Préfaut
2004 ◽  
Vol 29 (5) ◽  
pp. 564-578 ◽  
Author(s):  
Fabien Deruelle ◽  
Jean-Marie Grosbois ◽  
Patrick Mucci ◽  
Frédéric Bart ◽  
Ghislaine Lensel ◽  
...  

In order to individualize the intensity of an aerobic training program on different ergometers in healthy elderly subjects using a single test of muscular exercise, we analysed cardiorespiratory responses in 8 men (65.7 ± 4.5 yrs) and 10 women (63.3 ± 4.8 yrs). The heart rate corresponding to the ventilatory threshold was defined as individualised exercise intensity. All subjects carried out two incremental exercise tests on the cycle and rowing ergometers. For men, the results on the cycle ergometer and rowing ergometer demonstrated that, at ventilatory threshold, heart rates were not significantly different (114.6 ± 13.7 and 115.6 ± 14.2 beats min−1, respectively), but ventilation was significantly higher in rowing (p <  0.05). At ventilatory threshold, heart rates for women were not significantly different between the cycle ergometer and rowing ergometer (121.3 ± 12.4 and 125.1 ± 15.2 beats min−1, respectively), but ventilation was significantly higher in rowing (p <  0.01). At maximal exercise, maximal tidal volume for men (p <  0.01) and women (p <  0.05) was significantly higher in rowing. In spite of alterations of breathing patterns on the rowing ergometer, it is possible to design an individualized training program for healthy elderly subjects based on a single muscle evaluation exercise in order to diversify and optimize the cardiorespiratory benefits following an aerobic training program. Key words: aging, gas exchange, exercise testing, breathing pattern


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.


2012 ◽  
Vol 13 (9) ◽  
pp. 1146-1152 ◽  
Author(s):  
Magali Saint Martin ◽  
Emilia Sforza ◽  
Jean Claude Barthélémy ◽  
Catherine Thomas-Anterion ◽  
Frédéric Roche

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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