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

Study acronym: ValiDLW
StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated May 4, 2026 (before its estimated August 28, 2026 completion). Its status may not reflect the trial's current state.

Record History

  1. Re-verified, no change to tracked fieldsv5
  2. Primary completion date: Aug 28, 2025 to Aug 28, 2026
    • Study completion date: Dec 31, 2025 to Dec 31, 2026
    v4
  3. Primary completion date: Feb 28, 2024 to Aug 28, 2025
    • Study completion date: Mar 31, 2025 to Dec 31, 2025
    v3
  4. Trial status: Not Yet Recruiting to Recruiting
    • Study sites: 0 to 1
    • Start date changed from estimate of Mar 1, 2023 to Mar 14, 2023
    v2
  5. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT05736302
Lead Sponsor University of Wisconsin, Milwaukee
Collaborators: University of Colorado, Denver, University of Massachusetts, Amherst, National Cancer Institute (NCI)
Conditions
(from sponsor)		 Movement Disorders, Energy Metabolism
Related terms Movement Disorders
Enrollment 125 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov