Fast In-Bed Tracking (FIT) System Lifestyle Intervention is a Clinical Trial of a Bed Scale Device. Overweight Wheelchair Users Will Participate in a Weight Loss Program, Half Will Receive Bed Scales, and Participants Who Receive the Bed Scales Are Expected to Have Increased Weight Loss.
Eligible age
18+ yrs
Accepts
All genders
Locations
1 state
Healthy volunteers
No
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About this study
This project will complete the final design and development steps to commercialize the Fast In-Bed Tracking (FIT) Platform, which is an e-Health and wellness Internet of Things (IoT) monitoring system that can be integrated into a user's bed and provide person-centered, real-world outcomes to support health and wellness. The technical feasibility of FIT was proven over the past several years and has demonstrated the platform can support the treatment of several chronic conditions across different populations, including obesity, congestive heart failure, and pressure injuries. The project goals will be to (1) complete design refinements for FIT and (2) demonstrate the platform's efficacy to support weight loss goals of wheelchair users. Wheelchair users are twice as likely as the general population to be overweight or obese and excess weight not only exacerbates mobility and participation limitations but increases risk for secondary health problems. Evidence reveals that frequent weight monitoring is a key driver for weight management, which puts wheelchair users at a significant disadvantage, because they have no convenient way to measure their body weight. As a recent example, lack of participant's ability to self-weigh was a noted limitation to a weight loss program for wheelchair users, known as the Group Lifestyle Balance weight loss program Adapted for Individuals with Impaired Mobility (GLB-AIM). FIT solves this challenge by passively monitoring a user's weight when they get on and off their bed. The investigators lab and community-based feasibility trials demonstrated that FIT successfully tracks weight for individuals and couples sharing a bed and that users find FIT highly usable. This proposed project will allow the investigators to complete the design refinements participants recommended during our community-based feasibility trial and subsequently examine the efficacy of FIT in supporting the weight-loss goals of community-dwelling wheelchair users through a randomized controlled trial using the GLB-AIM.
Sponsor: Jonathan Pearlman
You may qualify if…
- ✓ Age18 +
- ✓ Live within approximately 75 miles of Pittsburgh
- ✓ Uses a wheelchair as primary means of locomotion
- ✓ Currently transfers in and out of bed every night (or most nights)
- ✓ Has been diagnosed as obese or overweight
- ✓ Are interested in losing weight
- ✓ BMI in the range of approximately 25 to 40; BMI range will be determined from published evidence for the primary diagnosis of the participant. For example, spinal cord injury /quadriplegic BMI range of approximately 22 to 40; for amputees it will be based on location and level of amputation, or if no diagnosis specific evidence exists, a BMI of approximately 25 to 40 will be used as a general guideline.
- ✓ Own a smart phone, and have reliable internet and wifi connection
You may not qualify if…
- ✕ Extended vacations or absences planned in the next year (more that 2 - 4 weeks) or plans to move approximately 75 miles or greater from the Pittsburgh region
- ✕ BMI outside of the desired range as based on condition and as determined by the study team.
- ✕ Currently taking weight loss medication, medications that affect appetite, or have had weight loss surgery in the last 2 years.
- ✕ History disordered eating in the last 2 years, such as Anorexia Nervosa, Bulimia Nervosa or Binge Eating Disorder
- ✕ Currently pregnant or intend to become pregnant in the next 12 months
- ✕ Regularly have 4 or more alcoholic drinks a day
- ✕ Have any cognitive conditions that limit decision making or self-governing.
- ✕ Indication that the participant does not have autonomy in decision-making as determined by the "Everyday Autonomy Self-Determination Scale."
Where it's recruiting
Pittsburgh
Source: ClinicalTrials.gov · NCT07141342 · last updated 2026-02-23