Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water

Part of paid clinical trials in Milwaukee, Wisconsin.

Sponsor
University of Wisconsin, Milwaukee
Study ID
NCT05736302
Status
Recruiting
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Conditions

  • Energy Metabolism
  • Movement Disorders

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • Doubly-Labeled Water — OTHER
    All eligible participants will receive a dose of doubly-labeled water.

Study Details

The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement and functional limitations.

Key Dates

Start date
Mar 14, 2023
Status verified
Apr 2026
Primary completion
Aug 28, 2026
Completion
Dec 31, 2026

Study Design

Enrollment
125 participants (estimated)

Arms

  • Arm: Individuals without movement limitations
    Individuals who are not classified as impaired or functionally limited per results of physical function testing.
  • Arm: Individuals with impaired movement
    Individuals who are classified as impaired, but not functionally limited per results of physical function testing.
  • Arm: Individuals with impaired movement who are functionally impaired
    Individuals who are classified as impaired and functionally limited per results of physical function testing.

Primary Outcome Measure

Accuracy of accelerometer derived estimations of total daily energy expenditure (TDEE, kcals/day). [ Time Frame: 8-10 days monitoring ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
University of Wisconsin-MilwaukeeMilwaukeeWisconsin53211
Katharine O'Connell Valuch
Scott Strath

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