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Study aim: To assess the effects of gender, age and engagement in physical activities of elderly subjects on their plasma lipid profiles.Material and methods: Four groups of subjects, n = 11 each, participated in the study: young men (YM) and women (YW), aged 25 - 32 years, and sedentary, elderly men (EM) and women (EW), aged 58 - 66 years; additionally, a group of 7 women (AW), aged 60 - 65 years, who trained twice weekly (45-min sessions) for 8 months, was studied. The following concentrations of lipids in plasma were recorded: triacylglycerols (TG), total cholesterol (TC) and its fractions: HDLC and LDLC (computed), as well as the TC/HDLC ratio.Results: Lipid profiles were, generally, less favourable in elderly than in younger subjects, high HDLC values noted in active, elderly women being an exception. In elderly subjects, men's profiles were closer to those of younger subjects than in elderly women and differed significantly (p<0.001) lower for TC and LDLC compared with EW group. Triacylglycerols were within normal limits in all groups except EW; LDLC values were mostly abnormally high, the percentages of subjects having normal values ranging from 0 (YM and EW) to 27% (YW).Conclusions: The age-dependent worsening of lipid profiles increased the risk of cardiovascular diseases in sedentary elderly subjects. On the other hand, the beneficial effects of motor activities on lipid profile observed in elderly women evidence the indispensability recommending of physical exercises to the elderly.
EN
Cortisol is known to be correlated with cognition, aging, and quantitative electroencephalography (QEEG), although these factors have not yet been reported. This study aimed to evaluate an integrated model for estimating cortisol levels in elderly people. Sixty-four participants were included. Saliva cortisol levels were measured by enzyme-linked immunosorbent assay (ELISA). Cognitive function was assessed by the Montreal Cognitive Assessment (MoCA). EEG recording was performed during the eyes-opened resting state condition. QEEG in five frequency bands and ten ratios were analyzed. Stepwise multiple linear regression was used to estimate cortisol levels based on the QEEG index, age and cognitive function. The first model using the QEEG index estimated cortisol levels with an accuracy of 15.4%. The second model based on the QEEG index and age estimated cortisol levels with an accuracy of 24.3%. The third model based on the QEEG index and cognitive impairment estimated cortisol levels with an accuracy of 20.2%. The fourth model yielded the best results, estimating cortisol levels with an accuracy of 30.8%; this model was based on age, delayed recall and the QEEG index of the beta/high beta band at the central region and the delta/beta band at the left temporal region An integrated model of the QEEG index, age and delayed recall can be used to estimate cortisol levels in elderly people, which could be possibly used to predict physiological and psychiatric changes in humans.
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