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The aim of the study was to examine whether self-selected walking speed during downhill treadmill walking by older adults would result in muscle injury and changes in physiological responses during level walking. Twenty-six participants (age: 67 ± 4 yrs; height: 1.69 ± 0.09 m; body mass: 74.9 ± 13.1kg) were assigned to level (n = 11, 30 min, 0%) or downhill walking (n=15, 30 min, -10%) at a self-selected walking speed. Self-selected walking speed and exercise intensity were similar for both groups (level: 4.2±0.4 km·hr-1, 42±6% VO2max; downhill: 4.6±0.6 km·hr-1, 44±15% VO2max). After 48-hours, downhill walking had reduced maximal voluntary isometric force of the m. quadriceps femoris (-15%, P<0.001), indicative of muscle injury, but no changes were observed for walking economy, minute ventilation, heart rate and respiratory exchange ratio during level walking. For older adults, downhill walking at a selfselected walking speed causes muscle injury without any detrimental effect on walking economy. Regular downhill walking at a self-selected walking speed by older adults is an eccentric endurance activity that may have the potential to improve cardiovascular fitness and muscle strength.
EN
Melatonin and cortisol are the main hormones of the circadian rhythm, which effect cognitive decline during aging. An imbalance of circadian rhythm hormones serves as an early sign of the progress of age-related disease and brain pathology in aging. The aim of this study was to determine the cortisol-melatonin ratio in relation to brain activity and cognitive function in aging. Sixty-four aging subjects were recruited from the brain healthy project. The morning salivary of all subjects was collected for cortisol and melatonin levels analysis. The brain activity was recorded for 5 minutes in the eyes open condition and seven cognitive functions were assessed by the MoCA. The results were divided into a low ratio group and a high ratio group of cortisol-melatonin ratio. The low ratio group and the high ratio group differed in the delta-beta ratio at the left temporal lope (p < .05), and the delayed recall in the high ratio group was markedly higher than in the low ratio group. Moreover, the cortisol-melatonin ratio was strongly correlated with delayed recall (p < .05), the delta-beta ratio in the left temporal lope (p <.05), the theta alpha ratio in the left temporal lope (p < .05), and right temporal lope (p < .05). We found that a low cortisol-melatonin ratio corresponded to a high delta-beta ratio and a high thetaalpha ratio at the left temporal lobe with a low score of delayed recall function, but a high cortisol-melatonin ratio corresponded to a low delta-beta ratio and a low theta-alpha ratio at the left temporal lobe with a high score of delayed recall. The imbalance of the circadian hormone related to cognitive function and brain activity in aging could serve as a biomarker of age-related diseases.
EN
The aim of this research was to quantify the number of corpora amylacea and lipofuscin-bearing neurons in the parahippocampal region of the brain. Right parahippocampal gyrus specimens of 30 cadavers were used as material for histological and morphometric analyses. A combined Alcian Blue and Periodic Acid-Schiff technique was used for identification and quantification of corpora amylacea and lipofuscin-bearing neurons. Immunohistochemistry was performed using S100 polyclonal, neuron-specific enolase and glial fibrillary acidic protein monoclonal antibodies for differentiation of corpora amylacea and other spherical inclusions of the aging brain. Cluster analysis of obtained data showed the presence of three age groups (median age: I = 41.5, II = 68, III = 71.5). The second group was characterized by a significantly higher numerical density of subcortical corpora amylacea and number of lipofuscin-bearing neurons than other two groups. Values of the latter cited parameters in the third group were insignificantly higher than the first younger group. Linear regression showed that number of parahippocampal lipofuscin-bearing neurons significantly predicts numerical density of subcortical corpora amylacea. The above results suggest that more numerous parahippocampal region corpora amylacea and lipofuscin-bearing neurons in some older cases might represent signs of its’ neurons quantitatively-altered metabolism.
EN
The aims of the study were to assess whether commonly used anthropometric indices are associated with body fat measures obtained by Bioel ectrical Impedance Analysis (BIA) method, and to determine the best anthropometric predictor of BIA - based body fat percentage (%Fat) and visceral fat rating (VFR) in elderly women. The sample consisted of 24 women aged 80 years and older, the residents of long - term care facilities in Upper Silesia (Poland). All women were subjected to standard anthropometric measurements including the following variables: body weight, body height, waist circumference, hip circumference and neck circumference. On the basis o f these measures Body Mass Index (BMI) as well as waist - to - hip ratio (WHR) were calculated. The subjects’ %Fat and VFR were determined by body composition analyzer TANITA BC 420MA (Japan). Pearson’s correlation coefficients were used to quantify the relati onships between variables. Stepwise multiple regression analysis with backward elimination was performed to identify possible predictors. The basic characteristics of the investigated subjects were as follows (mean±SD): age - 85.5±3.7 years; body weight - 60.4±11.6 kg; body height - 150.6±7.6 cm; BMI - 26.6±4.6 kg/m 2 ; %Fat - 31.3±9.6%; VFR - 10.7±2.5. Both of BIA - based measures significantly, positively correlated with body weight, BMI and circumferences of waist, hip and neck (r values from 0.477 to 0.835) . The multiple regression analysis for %Fat revealed that the body weight was the only variable statistically significant (r 2 =0.414; p<0.001; SEE =7.503%), and for VFR the significant β coefficients were obtained for BMI and neck circumference ( 0.625±0.133 and 0.341±0.133, respectively) ( r 2 =0.754; p<0.001; SEE =1.313). Among popular anthropometric indices of body composition in the oldest old group o f women, body weight seems to be the best predictor of body fat percentage, and VFR could be predicted by BMI along with a neck circumference.
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