aging
Conditions
Interventions
E02.760.169.063.500.387
The volunteers will be divided into two groups (G1 = fit, n = 30
G2 = unfit n = 30) according to their physical performance and underwent two interventions: exercise group and control group. All will be submitted to neuropsychological tests to evaluate cognitive fu
Behavioural
G11.427.410.698.277
Sponsors
Universidade Federal do Rio Grande do Norte - UFRN
Brain Institute Federal University of Rio Grande do Norte - UFRN
Eligibility
Age
55 Years to 85 Years
Inclusion criteria
Inclusion criteria: Men and women between 55 and 85 years old, with medical release and certificate of fitness to perform physical activity issued by cardiologist; attestation of the cardiologist already issued up to six months before the clinical evaluation will be accepted.
Exclusion criteria
Exclusion criteria: Obesity greater than grade 2 (body mass index up to 35); medication use that suppresses the responses of the neuroendocrine system; participants who do not achieve a minimum of 15 points in the mini mental state examinem; musculoskeletal limitations that limit the practice of physical activity or assessment;
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| An improvement in the cognitive function assessed by neuropsychological tests is expected thanks to the acute effects of exercise on cerebral oxygenation measured by near-infrared spectroscopy. Based on the analysis of interferential statistics, the two-way repeated measures test (ANOVA (one-way)) with Bonferroni's post-test will be used to identify where the differences occur. | — |
Secondary
| Measure | Time frame |
|---|---|
| It is expected that participants with low physical condition present better responses (accuracy and reaction time) in all neuropsychological tests of planning, cerebral flexibility and inhibitory control in relation to the acute effects of physical exercise in cerebral oxygenation when compared with participants with high physical condition . Based on the analysis of interferential statistics, the two-way repeated measures test (ANOVA (one-way)) with Bonferroni post test will be used to identify where the differences between groups occur. | — |
Countries
Brazil
Contacts
Public ContactJose Andres Diaz
Universidade Federal do Rio Grande do Norte - UFRN
Outcome results
None listed