Lifestyle Change Implementation Research Network at PRC at UMass Chan

ConditionGLP - 1
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorUniversity of Massachusetts, Worcester

About this trial

The goal of this project is to study how well the Noom digital lifestyle program works for adults who are taking Glucagon-Like Peptide-1 receptor agonist (GLP-1) medications. The study team will assess how the program affects people's behaviors and health outcomes. The team will also look at how digital lifestyle change interventions can be implemented in real-world settings, including how many people it reaches, how well it is put into practice, whether people stick with it over time, and whether it works well for different groups of people.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Began using a GLP-1 within the past 6 months

Currently using GLP-1

Plans to continue GLP-1 use

GLP-1 prescribed by their physician (e.g., not online or 3rd party vendor)

Disqualifiers

Was taking a GLP-1 within the 2 months prior to the current GLP-1 start date

Currently participating in a structured lifestyle change program (receiving structured guidance and counseling on physical activity, diet or weight loss)

Currently pregnant

Planning to become pregnant in the next year

Trial design

Design model

Parallel

Treatments tested in this trial

  • Digital Lifestyle Coaching Program

    Other intervention

    Participants will be enrolled for a 4-month program, in which they will use the Noom app to self-monitor their dietary intake/physical activity, be provided with coaching feedback throughout, and access educational module. Modules include behavior change specific to GLP-1, i.e. higher protein intake than what is prescribed in Noom Weight, Common challenges while taking GLP-1 medications, and weight loss medications and what to expect while taking them. They will also have access to the Muscle Defense program, which provides education on resistance training exercises to prevent muscle loss.

Treatment groups

220 Participants
are divided into 2 treatment groups
Group A: Digital Lifestyle Coaching ProgramExperimental treatment 1 intervention
Group B: Standard CareNo intervention 0 interventions

Trial outcomes

Primary outcomes

1

Primary Outcomes

Minutes of moderate/vigorous PA per day (over 7 days) assessed via Fitbits on days the participant has sufficient wear time, defined as \>10 hours of heart rate data (accumulated of 60-second bouts).

Time frame
Baseline, 4-, and 8-months
2

Healthy Eating Index

Healthy Eating Index will be assessed via two 24-hour dietary recalls at each timepoint. The Healthy Eating Index is scored on a scale 0-100, with higher scores indicating better diet quality and alignment with the Dietary Guidelines for Americans.

Time frame
Baseline, 4, and 8 months

Secondary outcomes

1

Physical Activity/Sedentary Time Metrics

Objective metrics of mean step counts (steps/day), light physical activity (minutes/day), sedentary time (hours/day) over 7 days assessed via Fitbit Inspire using Fitbit algorithms and obtained through Fitabase.

Time frame
Mean counts over 7-days at baseline, 4-, and 8-months.
2

Protein, Fruit, and Vegetable Intake

Proportion of daily intake values for each category will be assessed using two 24-hour dietary recalls.

Time frame
Baseline, 4-, and 8-months
3

Lean Body Mass

Lean body mass will be assessed using a seca mBCA 554 bioelectrical impedance scale. The scale will obtain the results of the patient's body composition (% muscle mass, % water, % body fat, including areas of distribution).

Time frame
Baseline, 4-, and 8-months
4

Body Weight

Body weight will be assessed via a seca mBCA 554 bioelectrical impedance scale.

Time frame
Baseline, 4-, and 8-months

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University of Massachusetts, Worcester

Lead sponsor

University of Massachusetts, Lowell

Collaborator

Centers for Disease Control and Prevention

Collaborator