NCT05249465

Brief Summary

This optimization trial will examine three tracking (or "self-monitoring") strategies for weight loss -- tracking dietary intake, steps, and/or body weight -- all delivered through digital health tools. The purpose of the study is to evaluate the combination of these strategies that maximizes 6-month weight loss in the context of a standalone digital health intervention for adults with overweight or obesity. The investigators will recruit 176 total participants to the trial. Recruitment will occur through remote channels. Interested individuals will be directed to an online screening questionnaire; those who are eligible will then be invited to attend an initial remote session with study personnel to ensure interest and eligibility in the study. The weight loss intervention will last 6 months, and all participants will receive a "core" treatment consisting of goal setting, behavioral lessons, action plans, and tailored feedback - all of which will be delivered remotely. Depending on which group participants are assigned to in the study, some individuals will be asked to track their dietary intake, their steps, and/or their body weight via digital tools. All study tasks will occur remotely, thus, participants never need to come in-person for any intervention or assessment tasks. The investigators will use the Multiphase Optimization Strategy (MOST) framework to identify the most effective combination of self-monitoring strategies. The factorial design will allow the research team to determine the unique and combined impact of each self-monitoring component on weight change. The primary outcome is weight change from baseline to 6 months. The research team will also assess self-monitoring engagement over 6 months and its association with weight change. To complement the main trial, the research team will also randomize half of participants to receive an interactive orientation video, in order to assess its impact on trial retention at 6 months. Overall, the information gathered from this trial will enable the construction of an optimized digital health intervention for weight loss that can be delivered remotely, which, if found to be effective, could have high potential for scalability.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
176

participants targeted

Target at P75+ for not_applicable obesity

Timeline
Completed

Started Sep 2023

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 10, 2022

Completed
11 days until next milestone

First Posted

Study publicly available on registry

February 21, 2022

Completed
1.6 years until next milestone

Study Start

First participant enrolled

September 22, 2023

Completed
1.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 15, 2025

Completed
8 days until next milestone

Study Completion

Last participant's last visit for all outcomes

June 23, 2025

Completed
Last Updated

July 1, 2025

Status Verified

June 1, 2025

Enrollment Period

1.7 years

First QC Date

February 10, 2022

Last Update Submit

June 28, 2025

Conditions

Keywords

digital healthmobile healthinterventionweight lossbehavioral treatmentMultiphase Optimization Strategy (MOST)obesity treatmentdietary changephysical activityself-monitoringfactorial design

Outcome Measures

Primary Outcomes (1)

  • Body weight change from baseline to 6 months

    change in weight from baseline to 6-month followup (in kg); assessed objectively via e-scale

    baseline, 6 months

Secondary Outcomes (9)

  • Body weight from baseline to 1 month

    baseline, 1 month

  • Body weight from baseline to 3 months

    baseline, 3 month

  • Clinically significant weight loss

    6 months

  • BMI change from baseline to 6 months

    baseline, 6 months

  • Caloric intake change from baseline to 6 months

    baseline, 6 months

  • +4 more secondary outcomes

Study Arms (8)

Condition 1

EXPERIMENTAL

Core Only

Behavioral: Core behavioral weight loss intervention

Condition 2

EXPERIMENTAL

Core + Track Weight

Behavioral: Core behavioral weight loss interventionBehavioral: Self-monitoring weight

Condition 3

EXPERIMENTAL

Core + Track Steps

Behavioral: Core behavioral weight loss interventionBehavioral: Self-monitoring steps

Condition 4

EXPERIMENTAL

Core + Track Diet

Behavioral: Core behavioral weight loss interventionBehavioral: Self-monitoring diet

Condition 5

EXPERIMENTAL

Core + Track Weight + Track Steps

Behavioral: Core behavioral weight loss interventionBehavioral: Self-monitoring weightBehavioral: Self-monitoring steps

Condition 6

EXPERIMENTAL

Core + Track Weight + Track Diet

Behavioral: Core behavioral weight loss interventionBehavioral: Self-monitoring dietBehavioral: Self-monitoring weight

Condition 7

EXPERIMENTAL

Core + Track Steps + Track Diet

Behavioral: Core behavioral weight loss interventionBehavioral: Self-monitoring dietBehavioral: Self-monitoring steps

Condition 8

EXPERIMENTAL

Core + Track Weight + Track Steps + Track Diet

Behavioral: Core behavioral weight loss interventionBehavioral: Self-monitoring dietBehavioral: Self-monitoring weightBehavioral: Self-monitoring steps

Interventions

All participants will receive a 6-month "core" behavioral obesity treatment consisting of goal setting, behavioral lessons, action plans, and tailored feedback - all of which will be delivered remotely.

Condition 1Condition 2Condition 3Condition 4Condition 5Condition 6Condition 7Condition 8

Participants randomized to receive this component will be instructed to self-monitor their dietary intake daily via the Fitbit mobile app. Participants will receive a daily calorie goal.

Condition 4Condition 6Condition 7Condition 8

Participants randomized to receive this component will be instructed to self-monitor their body weight daily via a wireless e-scale (e.g., the Fitbit Aria Scale).

Condition 2Condition 5Condition 6Condition 8

Participants randomized to receive this component will be instructed to self-monitor their step count daily via a wrist-worn Fitbit activity monitor. A daily step goal will be given that will adapt based on progress.

Condition 3Condition 5Condition 7Condition 8

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • adults (ages 18+ years)
  • body mass index (BMI) 25.0 to 45.0 kg/m\^2
  • smartphone ownership
  • willingness to install a mobile app on their phone
  • access to a personal email account
  • English language proficiency
  • interest in losing weight through behavioral strategies

You may not qualify if:

  • concurrent enrollment in another weight management intervention
  • loss of ≥10 lbs. in the past 6 months
  • current use of a weight loss medication
  • prior or planned bariatric surgery
  • current or planned pregnancy in the trial period
  • currently breastfeeding
  • lives with someone else participating in the study
  • hospitalization for a mental health condition in the past 12 months
  • inability to engage in moderate forms of physical activity akin to brisk walking (assessed by the Physical Activity Readiness Questionnaire)
  • if weight loss is contraindicated or might be impacted by a condition or medication (e.g., end stage renal disease, cancer, schizophrenia, dementia, steroids, anti-psychotics)
  • if an individual would be better suited for a more intensive or different type of intervention based on a health condition (e.g., individuals with history of an eating disorder or cardiovascular event, uncontrolled hypertension, or uncontrolled diabetes mellitus)
  • investigator discretion for safety reasons

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Stanford University School of Medicine

Stanford, California, 94305, United States

Location

Related Publications (1)

  • Patel ML, King AC, Rosas LG, Bennett GG, Collins LM, Gallis JA, Zeitlin AB, Talreja PS, Crosthwaite PC, Collins KA, Lim AW, Kim TS. Optimizing Self-Monitoring in a Digital Weight Loss Intervention (Spark): Protocol for a Factorial Randomized Trial. JMIR Res Protoc. 2025 Sep 23;14:e75629. doi: 10.2196/75629.

MeSH Terms

Conditions

ObesityOverweightWeight LossHealth BehaviorMotor Activity

Condition Hierarchy (Ancestors)

OvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and SymptomsBody Weight ChangesBehavior

Study Officials

  • Michele L Patel, PhD

    Stanford University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Masking Details
Outcomes will be analyzed in a blinded fashion such that treatment allocation is not revealed.
Purpose
TREATMENT
Intervention Model
FACTORIAL
Model Details: This study uses a full factorial experimental design testing the efficacy of three intervention components, each with two levels (i.e., a 2x2x2).
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Instructor

Study Record Dates

First Submitted

February 10, 2022

First Posted

February 21, 2022

Study Start

September 22, 2023

Primary Completion

June 15, 2025

Study Completion

June 23, 2025

Last Updated

July 1, 2025

Record last verified: 2025-06

Data Sharing

IPD Sharing
Will not share

Once the study data have undergone final data cleaning, analysis, and planned publications, the investigators will make the final data collected as part of the proposed research available in electronic form to researchers who request them. Researchers will be asked to submit a data request in writing to the Principal Investigator so that the requested data can be made available while protecting the confidentiality of study participants and ensuring that the proposed research questions do not overlap with planned publication development by the project research team or other groups. The requested dataset will be free of identifiers that would permit linkages to individual research participants. The requestor must agree to maintain the privacy and confidentiality of the data and must indicate how they plan to store the data to demonstrate compliance with secure computing. All publications that emerge from this award will be publicly available via PubMed Central.

Locations