Effects of Different Types of Cognitive Loading on Gait With Growing Age

NCT06656052 | Completed

• 1 other identifier: REC/01884 Imran Amjad
• Study Type: interventional
• Target: 150
• Locations: 1 country
• Sites: 1

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

Conditions

Gait Analysis; Cognitive Load, Performance

Keywords

gait; cognitive load; cognitive loading

Outcome Measures

Primary Outcomes (24)

• 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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  Immediately after Cognitive loading tests

Study Arms (5)

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.

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.

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.

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.

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.

Other: 1. working memory task.; Other: 2. Visual and Verbal Fluency Task; Other: 3. Motor Task

Interventions

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.

Fifth Age Group; First Age Group; Fourth Age Group; Second Age Group; Third Age Group

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.

Fifth Age Group; First Age Group; Fourth Age Group; Second Age Group; Third Age Group

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.

Fifth Age Group; First Age Group; Fourth Age Group; Second Age Group; Third Age Group

Eligibility Criteria

• Age: 21 Years - 70 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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)

You may not qualify if:

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

Sponsors & Collaborators

• Riphah International University: lead

Study Sites (1)

Riphah International University

Islamabad, 44000, Pakistan

Location

Study Officials

• Imran Amjad, PhD

  Riphah International University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: TRIPLE
• Who Masked: PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: research

Study Record Dates

• First Submitted: October 8, 2024
• First Posted: October 24, 2024
• Study Start: October 24, 2024
• Primary Completion: December 30, 2024
• Study Completion: December 30, 2024
• Last Updated: January 13, 2025

Record last verified: 2025-01

Data Sharing

• IPD Sharing: Will not share

Locations

PA (1)