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Optimizing Self-Monitoring Feedback Delivery for the Treatment of Overweight and Obesity

Optimizing Self-Monitoring Feedback Delivery for the Treatment of Overweight and Obesity

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07227051
Enrollment
300
Registered
2025-11-12
Start date
2026-01-26
Completion date
2028-02-28
Last updated
2026-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity (Disorder), Obesity & Overweight

Keywords

weight loss, self-monitoring, smartphone app, lifestyle intervention, digital health, mHealth, physical activity, dietary change, e-scale, wearables, activity monitor

Brief summary

The purpose of this research study is to learn how to best provide weekly feedback on individual progress toward intervention goals during a weight loss program.

Detailed description

The goal of this micro-randomized factorial trial is to learn how to best deliver self-monitoring feedback during a behavioral weight management intervention. All study participants will be provided with a "Weight Loss 101" session that provides weight loss education and behavioral skills training. At this meeting, participants will be taught how to use study-provided tools to self-monitor their dietary intake, physical activity, and weight. At the end of each week of the intervention, participants will receive an interventionist-composed feedback message based on their self-monitoring data. Every message will contain feedback about how often the participant self-monitored their dietary intake, physical activity, and weight (that is, the number of days each week that the participant monitored each) along with a message about their weight trajectory. Participants will be randomized each week to receive (or not receive) four additional feedback components each week. The main questions that this study aims to answer are: * which of the four additional feedback components improve adherence to self-monitoring, intervention goals, and weight loss the week after they are received? * are there any differences in message impact depending on the person receiving the message (for example, do some messages work better for younger versus older participants) or their context (for example, are certain messages more or less helpful depending on how well the person is doing in the program)?

Interventions

BEHAVIORALFeedback on Physical Activity Goal Attainment

Feedback composed by a study interventionist that focuses on the participant's progress toward meeting their physical activity goal.

BEHAVIORALGoal Setting Prompt

An open-text goal setting prompt, composed by the study interventionist, that encourages the participant to set a behavioral goal for the following week.

BEHAVIORALFeedback on Calorie Goal Attainment

Feedback composed by a study interventionist that focuses on the participant's progress toward meeting their caloric intake goal.

BEHAVIORALFeedback on Dietary Quality

Feedback composed by a study interventionist that provides comments on specific dietary choices that may impact weight loss success.

Sponsors

Wake Forest University Health Sciences
Lead SponsorOTHER
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
CollaboratorNIH
University of Virginia
CollaboratorOTHER
University of Florida
CollaboratorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Intervention model description

Micro-randomized Factorial. Under a 2x2x2x2 factorial design, participants will be randomized each week for 16 weeks to one of 16 conditions

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Age greater than or equal to 18 years * BMI greater than or equal to 25.0 kg/m2 * Weight less than or equal to 175 kg (due to scale limit) * Own a smartphone compatible with Fitbit (e.g., an Apple iPhone running iOS 16.4 or higher or Android smartphone running Android 11 or higher) with a cellular and data plan

Exclusion criteria

* Weight greater than 175 kg (due to a weight limit of the study-provided scale) * Smartphone device owned deemed incompatible with the Fitbit App * History of bariatric surgery or plans to obtain bariatric surgery during the study period * Current use of weight loss medications, or use of weight loss medications in the 6 months prior to initial pre-screening * Currently participating in a weight-loss program * Weight loss of greater than or equal to 10 lbs in the 6 months prior to initial pre-screening * Physical limitations that prevent walking at a brisk pace for at least 10 minutes without stopping * Use of a pacemaker or other implanted medical device * Currently pregnant * Currently breastfeeding * Less than 1-year post-partum * Plans to become pregnant within the study period * Lack of written confirmation that the potential participant has discussed study participation with their physician if they have been diagnosed with diabetes, hypertension, or has have a history of coronary heart disease * One or more study participants living in the household (enrollment limited to one participant per household) * Medical conditions that contraindicate weight loss or prevent completion of the study (e.g., current diagnosis of cancer or terminal illness, dementia, etc.) * Recent (in the past 6 months) changes in medications that affect weight * Self-reported eating disorder within past 5 years * Unable to complete the 17-week study (due to plans to relocate during the study period, etc.) * Unable or unwilling to provide informed consent * Unable to read English at the 5th grade level * Unwilling to accept random assignment * Unable or unwilling to download the study smartphone application, wear the physical activity monitor, or use the study e-scale * Failure to complete baseline assessment measures * Failure to complete at least 4 out of 6 days of self-monitoring dietary and weight self-monitoring during the behavioral run-in period * Any other condition(s) which, in the opinion of the Principal Investigator, would adversely affect participation in the study

Design outcomes

Primary

MeasureTime frameDescription
Weight change7 daysFitted model values will then be used to estimate the slope of weight change from day 1 (the day a feedback message is received) to day 7 of each week, with positive values representing weight gain and negative values representing weight loss.

Secondary

MeasureTime frameDescription
Frequency of self-monitoring weight7 daysFrequency of self-monitoring weight will be defined as the number of days (0-7) for the week after a feedback message is received (from day 1, the day that a feedback message is received, to day 7) that a participant has a valid (non-outlier) e-scale weight.
Frequency of self-monitoring dietary intake7 daysA valid "day" of self-monitoring dietary intake will be defined as ≥ 800 kcal, consistent with prior research. Frequency of self-monitoring dietary intake will be defined as the number of valid days (0-7) recorded the week after a feedback message is received (from day 1, the day that a feedback message is received, to day 7).
Total caloric intake7 daysTotal caloric intake will be calculated by summing calories consumed the week after a feedback message is received (from day 1, the day that a feedback message is received, to day 7).
Calorie goal attainment7 daysCalorie goal attainment for each day during the week after a feedback message is received (from day 1, the day that a feedback message is received, to day 7) will be calculated as \[TOTAL KCAL INTAKE FOR THE DAY\] - \[CALORIE GOAL\]. Difference scores for the 7 days will be averaged over the week to assess overall adherence to the caloric intake goal during that study week.
Frequency of self-monitoring physical activity7 daysFrequency of self-monitoring physical activity will be defined as the number of "valid" days (0-7) of Fitbit use the week after a feedback message is received (from day 1, the day that a feedback message is received, to day 7).
Physical activity minutes7 daysTotal minutes of physical activity will be calculated by summing each days' total "active zone minutes" during the week after a feedback message is received (from day 1, the day that a feedback message is received, to day 7)
Physical activity goal attainment7 daysPhysical activity goal attainment for each day of the week after a feedback message is received (from day 1, the day that a feedback message is received, to day 7) will be calculated as \[TOTAL PHYSICAL ACTIVITY MINUTES\] - \[PHYSICAL ACTIVITY GOAL\]. Difference scores for the 7 days will be averaged over the week to assess overall adherence to the physical activity goal during that study week

Countries

United States

Contacts

CONTACTTejashri Ganbote, MBA, MBBS
Tejashri.ganbote@aah.org414-363-1229
CONTACTTeace Markwalter, M.P.H., CHES
bdw9cp@virginia.edu866-271-7217
PRINCIPAL_INVESTIGATORKathryn M. Ross, Ph.D., M.P.H.

Aurora Research Institute LLC

PRINCIPAL_INVESTIGATORRebecca A. Krukowski, Ph.D.

University of Virginia

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 25, 2026