Health Behavior
Conditions
Keywords
Performance, Football, Recommender system, Training, Gamification, Blockchain, NFT, Reward
Brief summary
The goal of this clinical trial is to test and compare the effects of a tailored algorithm recommendation of sport activities concreted in challenges to improve some critical performance dimensions. Q1: Improving participant performance is achieved by using personalized sports activity recommendation using an algorithm and tracking compliance using a decentralized application (dApp)? Q2: Are participants satisfied with the performance and simplicity of the dApp used? Participants will be asked to do specific activities recommended by the developed recommender system. The activities to be carried out will be conditioned by the profile obtained from each participant at the beginning of the intervention. They will consist of reinforcement activities for the dimensions with the lowest scores. Researchers will compare a experimental group and a control group to see if the dimensions assessed at the beginning of the intervention were improved.
Interventions
OTHERExperimental group
Tailored training based on the profile of each participant.
OTHERControl group
They will continue with the traditional training.
Sponsors
University of Vigo
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Outcomes Assessor)
Masking description
As this study needs a intervention different from the conventional, the blinding of the participants is imposible.
Intervention model description
Control group will continue with the conventional training. Experimental group will carry out a tailored training based on the profile of each participant.
Eligibility
Sex/Gender
ALL
Age
14 Years to 18 Years
Healthy volunteers
Yes
Inclusion criteria
* Amateur football players. * Aged between 14 and 18 years old. * Without any injury. * The ones who can attend the assessing sessions and fill in the informed consent form.
Exclusion criteria
* Aged different from the indicated above. * Injured. * Missing one of the assessing sessions. * Not performing the proposed training twice, or not registering two or more training sessions.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Score of the system usability at the end of the intervention | At the end of the intervention (8 weeks) | System Usability Scale is a scale from 0 to 100 points to assess the usability of the system used in the intervention. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Squat Jump (SJ) | At baseline and after 8 weeks | Lower body capacity assessed using the SJ |
| Abdominal planck (AP) | At baseline and after 8 weeks | Core capacity assessed using the abdominal plank lasting time |
| Push ups (PU) | At baseline and after 8 weeks | Upper body capacity assessed using the number of pushups performed in one minute |
| 15m sprint (SE-15) | At baseline and after 8 weeks | Special endurance assessed using the 15m sprint |
| Countermovement Jump (CMJ) | At baseline and after 8 weeks | Special endurance assessed using the CMJ |
| Cooper Test (GE) | At baseline and after 8 weeks | General endurance assessed using the Cooper Test |
Other
| Measure | Time frame | Description |
|---|---|---|
| Sociodemographic outcomes | At baseline | Body weight, height, age and gender. |
Countries
Spain
Outcome results
None listed