Gait AnalysisNCT06656052
Effects of Different Types of Cognitive Loading on Gait With Growing Age
A study testing 1. working memory task., 2. Visual and Verbal Fluency Task and 3. Motor Task in people with Gait Analysis and Cognitive Load, Performance, run by Riphah International University at 1 site in Pakistan.
Trial summary
The goal of this study is to determine how different types of cognitive loading affect the gait of an individual and its association with growing age. The main aim is to find out if: 1. There is a significant difference in the effect of three different methods of cognitive loading on gait parameters across age groups. Read more about this study
- Who is it for?
- Ages 21 to 70 yearsHealthy volunteers can take part
- Conditions the study is for
- Gait Analysis, Cognitive Load, Performance
- What is being tested?
- 1. working memory task., 2. Visual and Verbal Fluency Task and 3. Motor Task
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 150 participants
- Where
- 1 sitePakistan
- Study dates
- 24 Oct 2024to 30 Dec 2024
- 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 21 to 70 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Both male and female genders.
- Age between 21-70 years.
- Healthy individuals with normal systemic history.
- Individuals with normal cognitive level (score between 0-7 on 6CIT test)
Who cannot join
- Individuals having any comorbidities.
- Individuals having diagnosed gait disorders/deviations.
- Non-cooperative participants
Trial locations and contacts
1 site in 1 country.
About this study
Official title: To Determine the Effects of Different Types of Cognitive Loading on Gait With Growing Age
The goal of this study is to determine how different types of cognitive loading affect the gait of an individual and its association with growing age. The main aim is to find out if:
- There is a significant difference in the effect of three different methods of cognitive loading on gait parameters across age groups.
- There is an association of cognitive loading with different age groups.
- Conditions
- Gait Analysis, Cognitive Load, Performance
- Being tested
- 1. working memory task., 2. Visual and Verbal Fluency Task, 3. Motor Task
- Keywords
- gait, cognitive load, cognitive loading
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
1. working memory task.Other
Arithmetic test (Backward counting with serial 3 subtraction and articulation): participants will be asked to count out loud backward with serial subtraction of 3 from each number, starting with a random number provided by the researcher.
2. Visual and Verbal Fluency TaskOther
Stroop colour word test (modified Stroop test): participants will be asked to name the colour of ink that each word is printed in. This test will appear on the mobile phone in their hands while they walk to increase the effect of cognitive loading.
3. Motor TaskOther
Participants will be asked to hold a tray of glasses filled with water and walk 10 meters to calculate the effect of cognitive loading on gait.
| Study group | Role | What they receive |
|---|---|---|
| First Age Group | Experimental | Participants with Age 21-30 years. All members of group number 1 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. Receives: Other: 1. working memory task.; Other: 2. Visual and Verbal Fluency Task; Other: 3. Motor Task |
| Second Age Group | Experimental | Participants with age 31-40 years. All members of group number 2 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. Receives: Other: 1. working memory task.; Other: 2. Visual and Verbal Fluency Task; Other: 3. Motor Task |
| Third Age Group | Experimental | Participants with Age 41-50 years. All members of group number 3 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. Receives: Other: 1. working memory task.; Other: 2. Visual and Verbal Fluency Task; Other: 3. Motor Task |
| Fourth Age Group | Experimental | Participants with age 51-60 years. All members of group number 4 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. Receives: Other: 1. working memory task.; Other: 2. Visual and Verbal Fluency Task; Other: 3. Motor Task |
| Fifth Age Group | Experimental | Participants with age 61-70 years. All members of group number 5 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. Receives: Other: 1. working memory task.; Other: 2. Visual and Verbal Fluency Task; Other: 3. Motor Task |
What is being measured
The primary outcome is the main question the study is designed to answer.
Walking speed
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the walking speed of the participant. A decrease in walking speed is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Walking speed
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the walking speed of the participant. A decrease in walking speed is the usual effect of cognitive loading on this gait parameter.
Measured: During three cognitive tasks
Walking speed
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the walking speed of the participant. A decrease in walking speed is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Gait Symmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the gait symmetry of the participant. A decrease in gait symmetry is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Gait Symmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the gait symmetry of the participant. A decrease in gait symmetry is the usual effect of cognitive loading on this gait parameter.
Measured: During Cognitive loading tests
Gait Symmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the gait symmetry of the participant. A decrease in gait symmetry is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Step length
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length of the participant. An increase in step length is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Step length
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length of the participant. An increase in step length is the usual effect of cognitive loading on this gait parameter.
Measured: During Cognitive loading tests
Step length
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length of the participant. An increase in step length is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Step length variability
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length variability of the participant. An increase in step length variability is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Step length variability
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length variability of the participant. An increase in step length variability is the usual effect of cognitive loading on this gait parameter.
Measured: During Cognitive loading tests
Step length variability
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length variability of the participant. An increase in step length variability is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Step time
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time of the participant. An increase in step time is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Step time
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time of the participant. An increase in step time is the usual effect of cognitive loading on this gait parameter.
Measured: During Cognitive loading tests
Step time
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time of the participant. An increase in step time is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Step time variability
Smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time variability of the participant. An increase in step time variability is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Step time variability
Smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time variability of the participant. An increase in step time variability is the usual effect of cognitive loading on this gait parameter.
Measured: During Cognitive loading tests
Step time variability
Smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time variability of the participant. An increase in step time variability is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Step length asymmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length asymmetry of the participant. An increase in step length asymmetry is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Step length asymmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length asymmetry of the participant. An increase in step length asymmetry is the usual effect of cognitive loading on this gait parameter.
Measured: During Cognitive loading tests
Step length asymmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length asymmetry of the participant. An increase in step length asymmetry is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Step time asymmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time asymmetry of the participant. An increase in step time asymmetry is the usual effect of cognitive loading on this gait parameter.
Measured: Baseline
Step time asymmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time asymmetry of the participant. An increase in step time asymmetry is the usual effect of cognitive loading on this gait parameter.
Measured: During Cognitive loading tests
Step time asymmetry
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time asymmetry of the participant. An increase in step time asymmetry is the usual effect of cognitive loading on this gait parameter.
Measured: Immediately after Cognitive loading tests
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Oct 2024
- Study start24 Oct 2024
- Primary completion30 Dec 2024
- Study completion30 Dec 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Gait AnalysisStudies of the same condition, open and under way.
- More trials run by Riphah International UniversityThe sponsor's other registered studies.
- 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
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- research
- Masking
- Triple blind
- Who is masked
- Participant, Investigator, Outcomes assessor
- Enrolment
- 150 participants (actual)
Sponsor and investigators
- Lead sponsor
- Riphah International University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Imran Amjad, PhD, Principal investigator, Riphah International University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06656052
- Sponsor's protocol ID
- REC/01884 Imran Amjad
- Status last verified
- Jan 2025
- First submitted
- 8 Oct 2024
- Last updated
- 13 Jan 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 13 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- To Determine the Effects of Different Types of Cognitive Loading on Gait With Growing Age
- ClinicalTrials.gov ID
- NCT06656052
- Acronym / sponsor ID
- REC/01884 Imran Amjad
- Conditions
- Gait Analysis, Cognitive Load, Performance
- Keywords
- gait, cognitive load, cognitive loading
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 150 participants (actual)
- Lead sponsor
- Riphah International UniversityUniversity, hospital or other
- Study start
- 24 Oct 2024 (actual)
- Primary completion
- 30 Dec 2024 (actual)
- Study completion
- 30 Dec 2024 (actual)
- First posted
- 24 Oct 2024 (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.
The goal of this study is to determine how different types of cognitive loading affect the gait of an individual and its association with growing age. The main aim is to find out if:
- There is a significant difference in the effect of three different methods of cognitive loading on gait parameters across age groups.
- There is an association of cognitive loading with different age groups.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Triple blind (participant, investigator, outcomes assessor)
- Number of arms
- 5
- Model description
- research
| Arm | Type | Receives |
|---|---|---|
| First Age Group | Experimental | Other: 1. working memory task., Other: 2. Visual and Verbal Fluency Task, Other: 3. Motor TaskParticipants with Age 21-30 years. All members of group number 1 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. |
| Second Age Group | Experimental | Other: 1. working memory task., Other: 2. Visual and Verbal Fluency Task, Other: 3. Motor TaskParticipants with age 31-40 years. All members of group number 2 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. |
| Third Age Group | Experimental | Other: 1. working memory task., Other: 2. Visual and Verbal Fluency Task, Other: 3. Motor TaskParticipants with Age 41-50 years. All members of group number 3 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. |
| Fourth Age Group | Experimental | Other: 1. working memory task., Other: 2. Visual and Verbal Fluency Task, Other: 3. Motor TaskParticipants with age 51-60 years. All members of group number 4 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. |
| Fifth Age Group | Experimental | Other: 1. working memory task., Other: 2. Visual and Verbal Fluency Task, Other: 3. Motor TaskParticipants with age 61-70 years. All members of group number 5 who fall in the eligibility criteria will undergo three different types of cognitive loading. Three types of cognitive loading will be applied randomly to eliminate any bias. Each Method will be used three times with pre and post-recordings to ensure reliability. |
Who may qualify
- Ages
- 21 to 70 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Both male and female genders.
- Age between 21-70 years.
- Healthy individuals with normal systemic history.
- Individuals with normal cognitive level (score between 0-7 on 6CIT test)
Key exclusion criteria (3 listed)
- Individuals having any comorbidities.
- Individuals having diagnosed gait disorders/deviations.
- Non-cooperative participants
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 |
|---|---|---|
| 1. working memory task.Arithmetic test (Backward counting with serial 3 subtraction and articulation): participants will be asked to count out loud backward with serial subtraction of 3 from each number, starting with a random number provided by the researcher. | Other | Fifth Age Group, First Age Group, Fourth Age Group, Second Age Group, Third Age Group |
| 2. Visual and Verbal Fluency TaskStroop colour word test (modified Stroop test): participants will be asked to name the colour of ink that each word is printed in. This test will appear on the mobile phone in their hands while they walk to increase the effect of cognitive loading. | Other | Fifth Age Group, First Age Group, Fourth Age Group, Second Age Group, Third Age Group |
| 3. Motor TaskParticipants will be asked to hold a tray of glasses filled with water and walk 10 meters to calculate the effect of cognitive loading on gait. | Other | Fifth Age Group, First Age Group, Fourth Age Group, Second Age Group, Third Age Group |
Primary outcome
Walking speed
Time frame: Baseline
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the walking speed of the participant. A decrease in walking speed is the usual effect of cognitive loading on this gait parameter.
Walking speed
Time frame: During three cognitive tasks
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the walking speed of the participant. A decrease in walking speed is the usual effect of cognitive loading on this gait parameter.
Walking speed
Time frame: Immediately after Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the walking speed of the participant. A decrease in walking speed is the usual effect of cognitive loading on this gait parameter.
Gait Symmetry
Time frame: Baseline
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the gait symmetry of the participant. A decrease in gait symmetry is the usual effect of cognitive loading on this gait parameter.
Gait Symmetry
Time frame: During Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the gait symmetry of the participant. A decrease in gait symmetry is the usual effect of cognitive loading on this gait parameter.
Gait Symmetry
Time frame: Immediately after Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the gait symmetry of the participant. A decrease in gait symmetry is the usual effect of cognitive loading on this gait parameter.
Step length
Time frame: Baseline
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length of the participant. An increase in step length is the usual effect of cognitive loading on this gait parameter.
Step length
Time frame: During Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length of the participant. An increase in step length is the usual effect of cognitive loading on this gait parameter.
Step length
Time frame: Immediately after Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length of the participant. An increase in step length is the usual effect of cognitive loading on this gait parameter.
Step length variability
Time frame: Baseline
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length variability of the participant. An increase in step length variability is the usual effect of cognitive loading on this gait parameter.
Step length variability
Time frame: During Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length variability of the participant. An increase in step length variability is the usual effect of cognitive loading on this gait parameter.
Step length variability
Time frame: Immediately after Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length variability of the participant. An increase in step length variability is the usual effect of cognitive loading on this gait parameter.
Step time
Time frame: Baseline
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time of the participant. An increase in step time is the usual effect of cognitive loading on this gait parameter.
Step time
Time frame: During Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time of the participant. An increase in step time is the usual effect of cognitive loading on this gait parameter.
Step time
Time frame: Immediately after Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time of the participant. An increase in step time is the usual effect of cognitive loading on this gait parameter.
Step time variability
Time frame: Baseline
Smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time variability of the participant. An increase in step time variability is the usual effect of cognitive loading on this gait parameter.
Step time variability
Time frame: During Cognitive loading tests
Smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time variability of the participant. An increase in step time variability is the usual effect of cognitive loading on this gait parameter.
Step time variability
Time frame: Immediately after Cognitive loading tests
Smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time variability of the participant. An increase in step time variability is the usual effect of cognitive loading on this gait parameter.
Step length asymmetry
Time frame: Baseline
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length asymmetry of the participant. An increase in step length asymmetry is the usual effect of cognitive loading on this gait parameter.
Step length asymmetry
Time frame: During Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length asymmetry of the participant. An increase in step length asymmetry is the usual effect of cognitive loading on this gait parameter.
Step length asymmetry
Time frame: Immediately after Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step length asymmetry of the participant. An increase in step length asymmetry is the usual effect of cognitive loading on this gait parameter.
Step time asymmetry
Time frame: Baseline
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time asymmetry of the participant. An increase in step time asymmetry is the usual effect of cognitive loading on this gait parameter.
Step time asymmetry
Time frame: During Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time asymmetry of the participant. An increase in step time asymmetry is the usual effect of cognitive loading on this gait parameter.
Step time asymmetry
Time frame: Immediately after Cognitive loading tests
A smartphone-based accelerometer through a mobile app named Gait \& Balance (G\&B app) will be used to detect the step time asymmetry of the participant. An increase in step time asymmetry is the usual effect of cognitive loading on this gait parameter.
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 13 Jan 2025.
- Individual participant dataSharing planned: No
Related trials for Gait Analysis
Recruiting
Assessment of a Portable Digital Device for Quantified Analysis of Markerless Walking in Volunteers With Neuromuscular Diseases or Asymptomatic Volunteers
Spinal Muscular Atrophy (SMA), Charcot-Marie-Tooth
RecruitingObservational study
Usability of the Smart Hallway System in Clinical Setting
Amputation, Gait Disorders, Neurologic
Recruiting
Short-Term Effects of Manual Therapy Prior to Neuromotor Therapy in Children With Cerebral Palsy
Cerebral Palsy (CP), Unilateral Spastic Cerebral Palsy
Enrolling by invitationObservational study
Smartphone Video-Based AI Gait Analysis Reports to Support Remote Follow-up After Total Knee Arthroplasty
Total Knee Arthroplasty
Recruiting
Impact of Footwear on Gait in Unilateral Transtibial Amputees
Transtibial Amputation, Lower Limb Amputation
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.
Imran Amjad, PhD principal investigator
Riphah International University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing 1. working memory task., 2. Visual and Verbal Fluency Task and 3. Motor Task in people with Gait Analysis and Cognitive Load, Performance, run by Riphah International University at 1 site in Pakistan.
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 4 inclusion and 3 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 13 Jan 2025. 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 Pakistan. 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?
Walking speed (time frame: Baseline). The study lists 24 primary outcomes in all. 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 13 Jan 2025.