Wearable Technology as an Objective Tool for Measuring Running Gait
1 other identifier
observational
80
1 country
1
Brief Summary
The investigators aim to use a repeated measures observational study utilising a battery of multimodal assessment tools (e.g., 3D motion capture, wearable technology) in order to validate the DANU Sports Socks. The investigators aim to recruit 40 recreational runners (male and female) from the North East of England. The multimodal battery assessment used in this study will compare metrics between gold-standard traditional assessment methods and more novel wearable technology methods. Following assessment of the validity and reliability of the DANU Sports Socks, the investigators will use the multi-modal sensor to quantify changes in running gait that may occur with injury, fatigue or performance level will permit quantification of running demands in a runner's natural environment, thereby providing insight into injury mechanisms and objective explanations for performance outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Nov 2021
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 1, 2021
CompletedFirst Submitted
Initial submission to the registry
March 3, 2022
CompletedFirst Posted
Study publicly available on registry
March 14, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2024
CompletedAugust 14, 2023
June 1, 2023
2.3 years
March 3, 2022
August 10, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (7)
Ground Contact Time
(ms, mean ± standard deviation)
Participants will be asked to attend two laboratory sessions 7 - 14 days apart.
Tibial Acceleration
(g, mean ± standard deviation)
Participants will be asked to attend two laboratory sessions 7 - 14 days apart.
Step Time
(ms, mean ± standard deviation)
Participants will be asked to attend two laboratory sessions 7 - 14 days apart.
Step Length
(cm, mean ± standard deviation)
Participants will be asked to attend two laboratory sessions 7 - 14 days apart.
Step Frequency
(n, mean ± standard deviation)
Participants will be asked to attend two laboratory sessions 7 - 14 days apart.
Foot-strike Pattern
(°, mean ± standard deviation)
Participants will be asked to attend two laboratory sessions 7 - 14 days apart.
Flight Time
(ms, mean ± standard deviation)
Participants will be asked to attend two laboratory sessions 7 - 14 days apart.
Study Arms (1)
Runners
Recreational runners will be recruited and assessed over one season (June 2021 to January 2024). Participants will be asked to complete a battery of sub-maximal walking and running trials. Participants will be stratified according to gender (males n≈20, and females n≈20). Participants may also be further stratified based on injury status (i.e. injury history and location) and performance level (i.e. 5km personal best time).
Eligibility Criteria
Within the laboratory testing 40 individuals will be recruited, specifically 20 with and 20 without a history of previous lower limb injury (but fully recovered at time of assessment and able to run safely, in line with inclusion / exclusion criteria). Within the real-world environment testing 40 individuals, specifically novice/amateur (n=20) and expert/sub-elite (n=20) running performance level, based on their 5km running time (i.e., age graded performance % (35)). Participants will be stratified according to sex, dependent on the participants obtained investigators may also stratify the sample based on injury status, sports and performance level.
You may qualify if:
- Aged 18 - 70 years. English as a first language or fluency. Able to run 5km without stopping. Take part in running of some form at least twice per week (e.g., 5km run).
You may not qualify if:
- Medical history of disability that affects running gait safety or ability to follow instructions/tasks.
- Known illness or disease that would prevent their participation in strenuous physical activities (e.g., cardio-respiratory conditions or acute COVID-19).
- If the participant is unable to comply with the testing protocol, they will not be recruited.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Northumbria Universitylead
- DANU Sports Ltdcollaborator
Study Sites (1)
Northumbria University
Newcastle upon Tyne, NE7 7XA, United Kingdom
Related Publications (1)
Mason R, Godfrey A, Barry G, Stuart S. Wearables for running gait analysis: A study protocol. PLoS One. 2023 Sep 11;18(9):e0291289. doi: 10.1371/journal.pone.0291289. eCollection 2023.
PMID: 37695752DERIVED
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 3, 2022
First Posted
March 14, 2022
Study Start
November 1, 2021
Primary Completion
February 1, 2024
Study Completion
April 1, 2024
Last Updated
August 14, 2023
Record last verified: 2023-06