scholarly journals Magnitude of force perception errors during static contractions of the knee extensors in healthy young and elderly individuals

2011 ◽  
Vol 74 (1) ◽  
pp. 216-224 ◽  
Author(s):  
Séléna Lauzière ◽  
Benjamin Dubois ◽  
Anabèle Brière ◽  
Sylvie Nadeau
1990 ◽  
Vol 68 (6) ◽  
pp. 2358-2361 ◽  
Author(s):  
H. B. Rogers ◽  
T. Schroeder ◽  
N. H. Secher ◽  
J. H. Mitchell

Cerebral blood flow (CBF) was determined in humans at rest and during four consecutive unilateral static contractions of the knee extensors. Each contraction was maintained for 3 min 15 s with the subjects in a semisupine position. The contractions corresponded to 8, 16, 24, and 32% of the maximal voluntary contraction (MVC) and utilized alternate legs. CBF (measured by the 133Xe clearance technique) was expressed by a noncompartmental flow index (ISI). Heart rate and mean arterial pressure increased from resting values of 73 (55-80) beats/min and 88 (74-104) mmHg to 106 (86-138) beats/min and 124 (102-146) mmHg, respectively (P less than 0.0005), during the contraction at 32% MVC. Arterial PCO2 and central venous pressure did not change. Corrected to the average resting PCO2, CBF during control was 55 (35-73) ml.100 g-1.min-1 and remained constant during contractions. Cerebral vascular resistance increased from 1.5 (1.0-2.2) to 2.4 (1.4-3.0) mmHg. 100 g.min.ml-1 (P less than 0.025) at 32% of MVC. There was no difference in CBF between the two hemispheres at rest or during exercise. In contrast to dynamic leg exercise, static leg exercise is not associated with an increase in global CBF when measured by the 133Xe clearance technique.


2010 ◽  
Vol 31 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Sasha M. Scott ◽  
Adrienne R. Hughes ◽  
Stuart D. R. Galloway ◽  
Angus M. Hunter

Author(s):  
Jiyune Yi ◽  
Seul Gee Kim ◽  
Taegyu Khil ◽  
Minja Shin ◽  
Jin-Hee You ◽  
...  

We developed two distinct forest therapy programs (FTPs) and compared their effects on dementia prevention and related health problems for older adults. One was focused on Qigong practice in the forest (QP) and the other involved active walking in the forest (WP). Both FTPs consisted of twelve 2-h sessions over six weeks and were conducted in an urban forest. We obtained data from 25, 18, and 26 participants aged 65 years or above for the QP, WP, and control groups, respectively. Neuropsychological scores via cognition (MoCA), geriatric depression (GDS) and quality of life (EQ-5D), and electrophysiological variables (electroencephalography, bioimpedance, and heart rate variability) were measured. We analyzed the intervention effects with a generalized linear model. Compared to the control group, the WP group showed benefits in terms of neurocognition (increases in the MoCA score, and alpha and beta band power values in the electroencephalogram), sympathetic nervous activity, and bioimpedance in the lower body. On the other hand, the QP group showed alleviated depression and an increased bioimpedance phase angle in the upper body. In conclusion, both active walking and Qigong in the forest were shown to have distinctive neuropsychological and electrophysiological benefits, and both had beneficial effects in terms of preventing dementia and relieving related health problems for elderly individuals.


2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
P Oleinik ◽  
AN Sumin ◽  
AV Bezdenezhnykh

Abstract Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): Federal State Budgetary Scientific Institution Research Institute for Complex Issues of Cardiovascular Diseases Introduction The purpose was to evaluate the effectiveness of NMES in patients with complications after cardiac surgery. Methods This study was 37 patients who had significant postoperative complications after cardiovascular surgery. Participants were randomly - NMES group, n = 18; control, n = 19. It was not possible to blind the investigator. Analyzed basic clinical data. The dynamometry of the muscles upper and lower extremities was carried out, as well as a 6-minute walk test (6MWT). Also, the thickness of the quadriceps was measured using ultrasound.The patients underwent NMES on the quadriceps femoris muscle, daily from the third postoperative day, until discharge. The duration session was 90 minutes. Outcomes No differences were found in the baseline characteristics of the groups, including the results of laboratory and instrumental studies. Groups were comparable in the surgery and perioperative parameteres. The initial strength indicators also had no significant differences in the groups. At discharge knee extensors strength (KES) was significantly higher in the NMES group. The knee flexor strength (KFS) and handgrip strength (HF) increased the same in both groups. The quadriceps crosssectional area (CSA) muscle increased more in the NEMS group than in the control to the time of discharge. Average KES increased to a greater extent in the NMES group. At the same time, average and maximum KFS increased equally in both groups. A 6MWT before discharge did not show a difference between groups (P=.166). The NMES course did not affect the duration of hospitalisation (P=.429). Discussion This pilot study show beneficial effects of NMES on muscle strength in patients with complications after cardiovascular surgery. Physical tests initially and in dynamics NEMS Group (n = 18) Control group (n = 19) Baseline Discharge Baseline Discharge P-level Right knee extensors strength (kg) 20,3 [17,9; 26,1] 28,05 [23,8; 36,2] * 20,1 [18,6; 25,4] 22,3 [20,1; 27,1] * 0,004 Left knee extensors strength (kg) 17,75 [15,5; 27,0] 27,45 [22,3; 33,1] * 20,8 [17,5; 24,2] 22,5 [20,1; 25,9] * 0,017 Right knee flexors strength (kg) 14,85 [11,7; 19,5] 17,5 [14,1; 23,4] * 16,9 [13,1; 23,8] 19,2 [12,5; 26,4] * 0,971 Left knee flexors strength (kg) 14,7 [12,6; 19,6] 19,75 [15,9; 24,2] * 16,2, [10,4; 25,1] 18,8 [13,1; 27,7] * 0,889 6-MWT (m) 148,5 [108,5; 174,0] 288,0 [242,0; 319,0] * 169,0 [115,0; 217,0] 315,0 [277,0; 400,0] * 0,166 Right handgrip strength (kg) 24,5 [15,0; 33,0] 25,5 [19,0; 36,0] * 27,0 [18,0; 32,0] 30,0 [20,0; 35,0] * 0,795 Left handgrip strength (kg) 17,0 [12,0; 27,0] 21,0 [15,0; 31,0] * 19,0 [14,0; 29,0] 23,0 [16,0; 30,0] * 0,541 * - p-level from baseline data < 0,05 ** - p-level from baseline data ≥ 0,05


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