Recruiting

Fall Risk Assessment

Sponsor:

University of Michigan

Code:

NCT06508892

Conditions

Mass Screening

Eligibility Criteria

Sex: All

Age: 65+

Healthy Volunteers: Accepted

Interventions

risk of fall

Study Details

Brief summary:

Creation and use of a smartphone application for older adults to assess the participants' risk of fall. Phase 1: Compare the accuracy and validity of accelerometer and gyroscopic data from a smartphone and gold-standard, wearable sensors gathered during balance and gait activities. Phase 2: Develop a model that integrates wearable sensor data and individual characteristics, such as age, medical conditions, exercises, previous falls, fear of falls, along with gait and balance outcome measurements, to evaluate fall risk in older adults. Phase 3: Integrate the computational model in the design of a mobile app for wearable devices for older adults to self-administer fall risk assessments and provide individualized risk of fall information.

Conditions

Mass Screening

Study ID

NCT06508892

Start date

Jul 29, 2024

Status verified date

Aug, 2026

Completion date

Dec 31, 2027

Anticipated

Primary completion date

Dec 31, 2027

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 65+

Healthy Volunteers: Accepted

Inclusion Criteria:

  • 65 years or older

Exclusion Criteria:

  • have been diagnosed with neurological conditions such as multiple sclerosis, Parkinson's disease, traumatic brain injury, Alzheimer's disease, or have had a stroke in the last year
  • have orthopedic or cardiopulmonary conditions and/or surgeries in the past year
  • have physical limitations that would make it difficult or uncomfortable for individuals to perform the experimental tasks.

Study Design

Enrollment

100 participants

Anticipated

Interventions and Outcome Measures

Arms

Comparison of acceleration and 3D rotation during balance and movement

Can consumer-grade sensors used in mobile phones provide an accurate and valid measure of balance and gait when compared to gold standard research-grade sensors? A computational model for risk of fall will be developed.

Interventions

risk of fall

Gather information that will assist in determining risk of fall. The researchers will ask the subjects to perform several motor tests and study-related questionnaires.

Primary outcome measure

  • 3D acceleration [ Time Frame: 60 seconds to 6 minutes ]
  • 3D rotation [ Time Frame: 60 seconds to 6 minutes ]

Central Contacts and Locations

Central contacts

Nathan Miller, Ph.D.

810-762-3234natmille@umich.edu

Cathy A Larson, PT, Ph.D.

8107623373clarson@umich.edu

Locations

University of Michigan-Flint

Recruiting

Flint, Michigan, United States, 48502

Contacts

Nathan Miller, Ph.D.

810-762-3234natmille@umich.edu

Cathy A Larson, Ph.D.

8107623373clarson@umich.edu

Principal Investigator:

Jennifer Liao, Ph.D.

More Information

Sponsor

University of Michigan

Last update posted

Aug 14, 2026

Last verified

Aug, 2026

Keywords

  • fall risk

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-10. This information was provided to ClinicalTrials.gov by University of Michigan on 2026-08-14.