Viewing Study NCT06644859



Ignite Creation Date: 2024-10-26 @ 3:43 PM
Last Modification Date: 2024-10-26 @ 3:43 PM
Study NCT ID: NCT06644859
Status: ACTIVE_NOT_RECRUITING
Last Update Posted: None
First Post: 2024-10-06

Brief Title: Data Analysis to Evaluate Which Specific Gait Measures Are Associated with Risk of Injurious Falls Evaluating Gait Measures Associated with the Risk of Injurious Falls Through Data Analysis
Sponsor: None
Organization: None

Study Overview

Official Title: Data Analysis to Evaluate Which Specific Gait Measures Are Associated with Risk of Injurious Falls
Status: ACTIVE_NOT_RECRUITING
Status Verified Date: 2024-10
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: No
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: WHS
Brief Summary: The goal of this study is to understand if specific gait and activity measures can help predict injurious falls in older women The main questions it aims to answer are

Can combining daily gait DLG and daily physical activity DLPA measures more accurately predict the risk of injurious falls How effective is wearable technology and machine learning in analyzing these activity measures for fall prediction Researchers will analyze data from the Womens Health Study WHS using wearable technology to track daily walking patterns and physical activity and apply machine learning to assess the likelihood of harmful falls
Detailed Description: None

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None