Skip to main content
OpenTrials
Completed

NCT Number: NCT06656052

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:

1. There is a significant difference in the effect of three different methods of cognitive loading on gait parameters across age groups. 2. There is an association of cognitive loading with different age groups.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Gait Analysis Cognitive Load, Performance

Age range

21 year–70 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Riphah International University

Islamabad, 44000, Pakistan

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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)

Exclusion criteria

  • Individuals having any comorbidities.
  • Individuals having diagnosed gait disorders/deviations.
  • Non-cooperative participants

Treatment and study plan

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 TASK

Other

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 Task

Other

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.

Primary outcomes

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

Sponsors and collaborators

Lead sponsor

Riphah International University

Other

Registry information

Official study title

To Determine the Effects of Different Types of Cognitive Loading on Gait With Growing Age

Important dates

Study start
2024
Primary completion
2024
Study completion
2024
First posted
Oct 24, 2024
Registry last updated
Jan 13, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.