Physical ActivityAIPDEUSNCT07825948
AI-Personalized Digital Exercise for University Students
A study testing AI-Personalized Digital Exercise Programme and Standardized Digital Exercise Programme in people with Physical Activity and Exercise Adherence, run by Transilvania University of Brasov at 1 site in Romania.
Trial summary
This study evaluated whether an AI-personalized digital exercise programme could improve exercise adherence, physical activity, wellbeing, and physical performance among university students compared with a standardized digital exercise programme. Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Physical Activity, Exercise Adherence, Wellbeing
- What is being tested?
- AI-Personalized Digital Exercise Programme and Standardized Digital Exercise Programme
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 299 participants
- Where
- 1 siteRomania
- Study dates
- 24 Jan 2026to 21 Mar 2026
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Undergraduate student currently enrolled at Transilvania University of Brașov. Age 18 to 65 years at baseline.
- Written informed consent provided before any study-specific procedure.
- Able to safely complete the standardized countermovement jump protocol using OptoJump.
- Able to safely complete the lower-limb simple and choice reaction-time protocols using BlazePod.
- Access to a smartphone compatible with the study application.
- Willing to use the study application throughout the 8-week intervention.
- Able to attend both baseline and post-intervention assessments.
Who cannot join
- Acute musculoskeletal injury or pain that made jumping or rapid lower-limb responses unsafe.
- Medical condition contraindicating exercise participation or study testing.
- Use of medication known to affect neuromuscular performance or reaction time, as defined in the approved protocol.
- Concurrent participation in another interventional exercise or digital-health trial.
- Inability or unwillingness to complete the required assessments or the 8-week digital intervention.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Effects of an AI-Personalized Digital Exercise Programme on Adherence, Physical Activity, and Wellbeing Among University Students: An 8-Week Randomized Controlled Trial
This study evaluated whether an AI-personalized digital exercise programme could improve exercise adherence, physical activity, wellbeing, and physical performance among university students compared with a standardized digital exercise programme. University students were randomly assigned to one of two digital exercise programmes for 8 weeks. The AI-personalized programme adjusted exercise recommendations using participant characteristics, previous exercise adherence, readiness, pain, safety information, and physical performance measures. The comparator provided a standardized digital exercise programme without adaptive weekly personalization. The primary outcome was mean weekly exercise adherence. Secondary outcomes included physical activity, wellbeing, countermovement jump performance, lower-limb reaction time, engagement, usability, and safety.
Read the detailed description
This was an 8-week, two-group randomized controlled trial conducted among undergraduate students at Transilvania University of Brașov, Romania. The study compared an AI-personalized digital exercise programme with a standardized digital exercise programme delivered within the same digital study environment.
Participants assigned to the AI-personalized group received exercise recommendations through MoveAI-Student version 2.1.0 using the version-controlled v1.3-adaptive system. The system combined prespecified safety rules with a supervised recommendation model. Personalization used participant characteristics, sport participation, weekly training volume, countermovement jump performance, simple and choice reaction time, readiness, pain, previous-week adherence, and safety information. Exercise recommendations could specify session frequency, duration, intensity, and additional emphasis on lower-limb power or reactive drills. Recommendations were updated once per intervention week. Progression was limited by predefined safety rules, and exercise load could be reduced when pain or an adverse-event flag was present. Human override of recommendations was permitted when required.
Participants assigned to the standardized digital comparator used the same digital study environment but did not receive the adaptive weekly prescription procedure. The comparator programme prescribed three exercise sessions per week, with each session lasting 35 minutes.
The primary outcome was mean weekly exercise adherence, calculated from completed sessions relative to prescribed sessions across the 8-week intervention. Secondary outcomes included total physical activity assessed with the International Physical Activity Questionnaire Short Form, WHO-5 wellbeing, countermovement jump performance, simple reaction time, choice reaction time, moderate-to-vigorous physical activity, application engagement, satisfaction, perceived usefulness, usability, sitting time, body weight, body mass index, and adverse events.
The study was designed to estimate the effect of the adaptive programme as a complete intervention compared with standardized digital exercise. It was not designed to isolate the independent effect of the algorithm from differences in exercise prescription or completed exercise exposure.
- Conditions
- Physical Activity, Exercise Adherence, Wellbeing
- Being tested
- AI-Personalized Digital Exercise Programme, Standardized Digital Exercise Programme
- Keywords
- Artificial Intelligence, Digital Health, University Students, Exercise Adherence, Physical Activity, Personalized Exercise, Exercise Program, Wellbeing, Randomized Controlled Trial, Mobile Health
- Medical subject headings
- Motor Activity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Personalized Digital Exercise ProgrammeBehavioural
An 8-week digital exercise intervention using MoveAI-Student version 2.1.0 and the v1.3-adaptive system. Initial exercise prescriptions ranged from three to five sessions per week, 30 to 45 minutes per session, at moderate-to-vigorous intensity. Recommendations were updated weekly using adherence and safety information. Prescriptions could modify session frequency, duration, intensity, and emphasis on lower-limb power or reactive drills. Predefined safety rules limited weekly progression and allowed reduced exercise load when pain or an adverse-event flag was present.
Standardized Digital Exercise ProgrammeBehavioural
An 8-week standardized digital exercise intervention delivered through the same study application. Participants were prescribed three exercise sessions per week, with each session lasting 35 minutes. The programme did not use the adaptive weekly prescription procedure applied in the AI-personalized group.
| Study group | Role | What they receive |
|---|---|---|
| AI-Personalized Digital Exercise Programme | Experimental | Participants received an 8-week digital exercise programme delivered through MoveAI-Student version 2.1.0. Exercise prescriptions were personalized using the v1.3-adaptive system and updated weekly based on participant characteristics, previous-week adherence, readiness, pain, safety information, and physical performance measures. Recommendations could modify exercise frequency, duration, intensity, and task emphasis. Receives: Behavioral: AI-Personalized Digital Exercise Programme |
| Standardized Digital Exercise Programme | Active comparator | Participants received an 8-week standardized digital exercise programme through the same study application. The programme prescribed three exercise sessions per week, with each session lasting 35 minutes. Participants did not receive the adaptive weekly personalization procedure used in the experimental group. Receives: Behavioral: Standardized Digital Exercise Programme |
What is being measured
The primary outcome is the main question the study is designed to answer.
Mean Weekly Exercise Adherence
Weekly adherence was calculated as completed exercise sessions relative to prescribed exercise sessions within each intervention week. The participant-level mean across the 8-week intervention was used as the primary outcome.
Measured: From intervention initiation through the end of Week 8
Secondary outcomes (6)
Total Physical Activity Assessed With the International Physical Activity Questionnaire-Short Form
Total physical activity was assessed using the International Physical Activity Questionnaire-Short Form (IPAQ-SF) and expressed as metabolic equivalent of task (MET)-minutes per week. Total MET-minutes per week were calculated from reported walking, moderate-intensity activity, and vigorous-intensity activity. The minimum possible value is 0 MET-minutes/week. There is no fixed upper limit for this derived physical-activity measure. Higher values indicate a greater amount of total physical activity.
Measured: Baseline and at the end of Week 8
5-item World Health Organization Well-Being Index (WHO-5) Score
Well-being was assessed using the 5-item World Health Organization Well-Being Index (WHO-5). Each of the five items is scored from 0 to 5, producing a raw total score from 0 to 25. The raw score was multiplied by 4 to obtain the reported score ranging from 0 to 100. Higher scores indicate better subjective well-being.
Measured: Baseline and at the end of Week 8
Countermovement Jump Best Height
Best countermovement jump height was assessed using OptoJump Next and expressed in centimeters.
Measured: Baseline and at the end of Week 8
Countermovement Jump Mean Height
Mean countermovement jump height was assessed using OptoJump Next and expressed in centimeters.
Measured: Baseline and at the end of Week 8
Simple Reaction Time
Description: Lower-limb simple reaction time was assessed using BlazePod and expressed in milliseconds.
Measured: Baseline and at the end of Week 8
Choice Reaction Time
Lower-limb choice reaction time was assessed using BlazePod and expressed in milliseconds.
Measured: Baseline and at the end of Week 8
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Sep 2026
- Study start24 Jan 2026
- Primary completion21 Mar 2026
- Study completion21 Mar 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Physical ActivityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Participants were randomized after completion of baseline assessments to one of two parallel groups for 8 weeks: an AI-personalized digital exercise programme or a standardized digital exercise programme.
- Masking
- None (open label)
- Enrolment
- 299 participants (actual)
Sponsor and investigators
- Lead sponsor
- Transilvania University of Brasov
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07825948
- Sponsor's protocol ID
- FEFSM-411-2026-01
- Acronym
- AIPDEUS
- Status last verified
- Sep 2026
- First submitted
- 12 Sep 2026
- Last updated
- 22 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Deidentified individual participant data underlying the results reported in the published article will be available upon reasonable request. Shared data may include baseline characteristics, exercise adherence, physical activity, WHO-5 wellbeing, countermovement jump outcomes, simple and choice reaction time, engagement and usability measures, and adverse-event data, as applicable.
Study at a glance
From the registry record, last updated by the sponsor on 22 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effects of an AI-Personalized Digital Exercise Programme on Adherence, Physical Activity, and Wellbeing Among University Students: An 8-Week Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT07825948
- Acronym / sponsor ID
- AIPDEUS / FEFSM-411-2026-01
- Conditions
- Physical Activity, Exercise Adherence, Wellbeing
- Keywords
- Artificial Intelligence, Digital Health, University Students, Exercise Adherence, Physical Activity, Personalized Exercise, Exercise Program, Wellbeing
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 299 participants (actual)
- Lead sponsor
- Transilvania University of BrasovUniversity, hospital or other
- Study start
- 24 Jan 2026 (actual)
- Primary completion
- 21 Mar 2026 (actual)
- Study completion
- 21 Mar 2026 (actual)
- First posted
- 17 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study evaluated whether an AI-personalized digital exercise programme could improve exercise adherence, physical activity, wellbeing, and physical performance among university students compared with a standardized digital exercise programme. University students were randomly assigned to one of two digital exercise programmes for 8 weeks. The AI-personalized programme adjusted exercise recommendations using participant characteristics, previous exercise adherence, readiness, pain, safety information, and physical performance measures. The comparator provided a standardized digital exercise programme without adaptive weekly personalization. The primary outcome was mean weekly exercise adherence. Secondary outcomes included physical activity, wellbeing, countermovement jump performance, lower-limb reaction time, engagement, usability, and safety.
Detailed description
This was an 8-week, two-group randomized controlled trial conducted among undergraduate students at Transilvania University of Brașov, Romania. The study compared an AI-personalized digital exercise programme with a standardized digital exercise programme delivered within the same digital study environment.
Participants assigned to the AI-personalized group received exercise recommendations through MoveAI-Student version 2.1.0 using the version-controlled v1.3-adaptive system. The system combined prespecified safety rules with a supervised recommendation model. Personalization used participant characteristics, sport participation, weekly training volume, countermovement jump performance, simple and choice reaction time, readiness, pain, previous-week adherence, and safety information. Exercise recommendations could specify session frequency, duration, intensity, and additional emphasis on lower-limb power or reactive drills. Recommendations were updated once per intervention week. Progression was limited by predefined safety rules, and exercise load could be reduced when pain or an adverse-event flag was present. Human override of recommendations was permitted when required.
Participants assigned to the standardized digital comparator used the same digital study environment but did not receive the adaptive weekly prescription procedure. The comparator programme prescribed three exercise sessions per week, with each session lasting 35 minutes.
The primary outcome was mean weekly exercise adherence, calculated from completed sessions relative to prescribed sessions across the 8-week intervention. Secondary outcomes included total physical activity assessed with the International Physical Activity Questionnaire Short Form, WHO-5 wellbeing, countermovement jump performance, simple reaction time, choice reaction time, moderate-to-vigorous physical activity, application engagement, satisfaction, perceived usefulness, usability, sitting time, body weight, body mass index, and adverse events.
The study was designed to estimate the effect of the adaptive programme as a complete intervention compared with standardized digital exercise. It was not designed to isolate the independent effect of the algorithm from differences in exercise prescription or completed exercise exposure.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Participants were randomized after completion of baseline assessments to one of two parallel groups for 8 weeks: an AI-personalized digital exercise programme or a standardized digital exercise programme.
| Arm | Type | Receives |
|---|---|---|
| AI-Personalized Digital Exercise Programme | Experimental | Behavioral: AI-Personalized Digital Exercise ProgrammeParticipants received an 8-week digital exercise programme delivered through MoveAI-Student version 2.1.0. Exercise prescriptions were personalized using the v1.3-adaptive system and updated weekly based on participant characteristics, previous-week adherence, readiness, pain, safety information, and physical performance measures. Recommendations could modify exercise frequency, duration, intensity, and task emphasis. |
| Standardized Digital Exercise Programme | Active comparator | Behavioral: Standardized Digital Exercise ProgrammeParticipants received an 8-week standardized digital exercise programme through the same study application. The programme prescribed three exercise sessions per week, with each session lasting 35 minutes. Participants did not receive the adaptive weekly personalization procedure used in the experimental group. |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- Undergraduate student currently enrolled at Transilvania University of Brașov. Age 18 to 65 years at baseline.
- Written informed consent provided before any study-specific procedure.
- Able to safely complete the standardized countermovement jump protocol using OptoJump.
- Able to safely complete the lower-limb simple and choice reaction-time protocols using BlazePod.
- Access to a smartphone compatible with the study application.
Key exclusion criteria (5 listed)
- Acute musculoskeletal injury or pain that made jumping or rapid lower-limb responses unsafe.
- Medical condition contraindicating exercise participation or study testing.
- Use of medication known to affect neuromuscular performance or reaction time, as defined in the approved protocol.
- Concurrent participation in another interventional exercise or digital-health trial.
- Inability or unwillingness to complete the required assessments or the 8-week digital intervention.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-Personalized Digital Exercise ProgrammeAn 8-week digital exercise intervention using MoveAI-Student version 2.1.0 and the v1.3-adaptive system. Initial exercise prescriptions ranged from three to five sessions per week, 30 to 45 minutes per session, at moderate-to-vigorous intensity. Recommendations were updated weekly using adherence and safety information. Prescriptions could modify session frequency, duration, intensity, and emphasis on lower-limb power or reactive drills. Predefined safety rules limited weekly progression and allowed reduced exercise load when pain or an adverse-event flag was present. | Behavioural | AI-Personalized Digital Exercise Programme |
| Standardized Digital Exercise ProgrammeAn 8-week standardized digital exercise intervention delivered through the same study application. Participants were prescribed three exercise sessions per week, with each session lasting 35 minutes. The programme did not use the adaptive weekly prescription procedure applied in the AI-personalized group. | Behavioural | Standardized Digital Exercise Programme |
Primary outcome
Mean Weekly Exercise Adherence
Time frame: From intervention initiation through the end of Week 8
Weekly adherence was calculated as completed exercise sessions relative to prescribed exercise sessions within each intervention week. The participant-level mean across the 8-week intervention was used as the primary outcome.
6 secondary outcomes
Total Physical Activity Assessed With the International Physical Activity Questionnaire-Short Form
Time frame: Baseline and at the end of Week 8
5-item World Health Organization Well-Being Index (WHO-5) Score
Time frame: Baseline and at the end of Week 8
Countermovement Jump Best Height
Time frame: Baseline and at the end of Week 8
Countermovement Jump Mean Height
Time frame: Baseline and at the end of Week 8
Simple Reaction Time
Time frame: Baseline and at the end of Week 8
Choice Reaction Time
Time frame: Baseline and at the end of Week 8
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Sep 2026.
- Individual participant dataSharing planned: Yes. Deidentified individual participant data underlying the results reported in the published article will be available upon reasonable request. Shared data may include baseline characteristics, exercise adherence, physical activity, WHO-5 wellbeing, countermovement jump outcomes, simple and choice reaction time, engagement and usability measures, and adverse-event data, as applicable.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-Personalized Digital Exercise Programme and Standardized Digital Exercise Programme in people with Physical Activity and Exercise Adherence, run by Transilvania University of Brasov at 1 site in Romania.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 22 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Romania. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Mean Weekly Exercise Adherence (time frame: From intervention initiation through the end of Week 8). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Sep 2026.