Lack of physical exercise
Conditions
Interventions
The study will be subdivided into three phases: 1) development of the sensor and biofeedback testing during functional assessment
2) game development and biofeedback testing, as well as the gamified application for prescription and control of physical training in a controlled environment
and 3) testing of the gamified application for prescription and control of physical training in an uncontrolled environment. Phases 1 and 2 will constitute an exploratory pilot study. Phase 3 will be
I03.350
Sponsors
Universidade Federal de Ciências da Saúde de Porto Alegre
Universidade do Vale dos Sinos
Universidade Federal do Rio Grande do Sul
Universidade Federal do Pará
Universidade Federal de Pelotas
Eligibility
Age
20 Years to 60 Years
Inclusion criteria
Inclusion criteria: Sedentary individuals; aged between 20 and 60 years; with no medical contraindications for physical exercise; must own a smartphone; agree to participate in the research by signing the informed consent form
Exclusion criteria
Exclusion criteria: Individuals who experience angina during exertion; history of acute myocardial infarction within the 12 months prior to the start of the protocol; require oxygen supplementation; exhibit clinical instability in the month preceding the protocol initiation; uncontrolled hypertension; visual diseases that prevent the performance of the protocol; chronic conditions hindering participation in the exercise protocol; illiterate; refuse to sign the informed consent form
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Assess adherence to the proposed protocols. Adherence will be considered based on fulfilling at least 70% of the proposed training volume in the protocol (minutes per week and number of weeks). Data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical significance;Assess functional capacity through the Incremental Shuttle Walking Test. Data will be analyzed before and after the intervention period using statistical analyses, with a significance level set at p < 0.05 to determine statistical significance.;Assess potential correlations and associations between the level of physical activity, evaluated through the Actigraph wGT3X accelerometer, and the improvement of health biomarkers. The data will be subjected to statistical analyses before and after the intervention period, with a significance level set at p < 0.05 to determine the statistical relevance of these relationships between the level of physical activity and health biomarkers;Evaluate oxygen consumption (VO2) during the Incremental Incremental Shuttle Walking Test using a portable metabolic analyzer for expired gases. Data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical relevance;Assess endothelial function through pulse tonometry and ultrasonographic evaluation of flow-mediated vasodilation in the brachial artery. Data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical significance;Assess resting heart rate and heart rate during the Incremental Shuttle Walking Test using the Polar H10 chest heart rate monitor. Data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical significance | — |
Secondary
| Measure | Time frame |
|---|---|
| Assess individuals' perception regarding the use of the gamified application for physical activity practice through targeted questions at the end of each exercise session. The data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical significance;Assessing the agreement of heart rate and step count measured by the biosensor in comparison to standard devices (Polar H10 and ActiGraph, respectively);Evaluate heart rate variability through examination using the Polar H10 chest heart rate monitor. The data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical relevance;Evaluate central nervous system electrical activity through electroencephalogram (EEG). The data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical relevance.; Evaluate lipid profile (HDL, LDL), glycemic, oxidative (antioxidant enzymes superoxide dismutase (SOD) and catalase), and inflammatory (Interleukins 6 and 10) markers through blood collection and analysis. Colorimetric enzymatic assay kits will be used for lipid and glycemic profile analysis, ELISA method for inflammatory markers, and appropriate techniques will be used for oxidative stress measurement. Data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical relevance.;Evaluate cerebral tissue oxygenation through near-infrared spectroscopy for the central nervous system during the Incremental Shuttle Walking Test. Data will be analyzed before and after the intervention period through statistical analyses, with a significance level set at p < 0.05 to determine statistical relevance;Evaluate muscle tissue oxygenation through near-infrared spectros | — |
Countries
Brazil
Contacts
Public ContactFernanda Loro
Universidade Federal de Ciências da Saúde de Porto Alegre
Outcome results
None listed