NCT05408494

Brief Summary

Men in the United States have an exceptionally high prevalence of overweight and obesity, i.e., 71.3%, and 42% of men are currently attempting weight loss. However, men are dramatically underrepresented in weight loss programs. Attempts to modestly adapt standard weight loss programs have seen only minimal success. Mobile applications (mHealth apps) have attractive features, but have low male enrollment and poor efficacy as conventionally delivered. A gamified mHealth program offers the possibility of engaging men and enhancing efficacy given that (1) video gaming is highly appealing to men; (2) gamification features (e.g., digital rewards for attaining "streaks" and milestones, competition) are known enhance enjoyment and motivation and facilitate desired behaviors; and (3) "neurotraining" video games featuring repetitive action mechanics, adaptive difficulty, and feedback can train inhibitory control, a basic brain capacity to inhibit intrinsically-generated approach responses that is strongly linked to body mass and the consumption of high-calorie foods. This project evaluates long-term engagement and outcomes of a professionally-designed, game-based weight loss program. As such, 228 overweight men will be randomized to: (1) a 12-month mHealth weight loss program that includes digital self-monitoring, simplified and self-selected dietary targets, physical activity and a control (sham) non-game neurotraining, or (2) a fully-gamified version of this same program, comprised of a behavior change program featuring team-based competition, digital reinforcers for attainment of streaks and milestones, and an integrated neurotraining video game. Aims include evaluating the efficacy of the gamified program in terms of weight loss, diet and physical activity at 12 months, as well as evaluating hypothesized mediators (inhibitory control and engagement), (enjoyment and compliance) and moderators (baseline frequency of video game play and implicit preferences for Inhibitory Control Training-targeted foods).

Trial Health

75
On Track

Trial Health Score

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

Enrollment
228

participants targeted

Target at P75+ for not_applicable obesity

Timeline
10mo left

Started Sep 2023

Typical duration for not_applicable obesity

Geographic Reach
1 country

1 active site

Status
active not recruiting

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

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress78%
Sep 2023Mar 2027

First Submitted

Initial submission to the registry

May 27, 2022

Completed
11 days until next milestone

First Posted

Study publicly available on registry

June 7, 2022

Completed
1.2 years until next milestone

Study Start

First participant enrolled

September 1, 2023

Completed
3.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2027

Last Updated

March 23, 2026

Status Verified

March 1, 2026

Enrollment Period

3.5 years

First QC Date

May 27, 2022

Last Update Submit

March 19, 2026

Conditions

Outcome Measures

Primary Outcomes (4)

  • Baseline Weight

    Weight will be measured using the Fitibit Aria wireless scale, accurate to 0.2 kg. We will instruct participants to place the scale on a flat, hard surface; weigh upon waking, without clothes, after using the bathroom, require participants to confirm monthly that they are following instructions, require participants to weigh daily, remove incorrect weights, and use the average of 5 daily weights for each timepoint.

    Assessments will be administered at month zero.

  • Change from Baseline Weight at 1 month

    Weight will be measured using the Fitibit Aria wireless scale, accurate to 0.2 kg. We will instruct participants to place the scale on a flat, hard surface; weigh upon waking, without clothes, after using the bathroom, require participants to confirm monthly that they are following instructions, require participants to weigh daily, remove incorrect weights, and use the average of 5 daily weights for each timepoint.

    Assessment will be administered at month one.

  • Change from Baseline Weight at 6 months

    Weight will be measured using the Fitibit Aria wireless scale, accurate to 0.2 kg. We will instruct participants to place the scale on a flat, hard surface; weigh upon waking, without clothes, after using the bathroom, require participants to confirm monthly that they are following instructions, require participants to weigh daily, remove incorrect weights, and use the average of 5 daily weights for each timepoint.

    Assessment will be administered at month sixth.

  • Change from Baseline Weight at 12 months

    Weight will be measured using the Fitibit Aria wireless scale, accurate to 0.2 kg. We will instruct participants to place the scale on a flat, hard surface; weigh upon waking, without clothes, after using the bathroom, require participants to confirm monthly that they are following instructions, require participants to weigh daily, remove incorrect weights, and use the average of 5 daily weights for each timepoint.

    Assessment will be administered at month twelve.

Secondary Outcomes (2)

  • Caloric intake measured using the Fitbit app's built-in dietary tracking system

    Assessments will be administered at months 0, 1, 6 and 12.

  • Physical activity measured in minutes of moderate to vigorous physical activity using wrist-worn activity tracker.

    Assessments will be administered at months 0, 1, 6 and 12.

Study Arms (4)

Non-gamified program with sham ICT

SHAM COMPARATOR

One group will be assigned to a 12-month mobile weight loss program that includes digital self-monitoring, simplified and self-selected dietary targets (to align with neurotraining and promote autonomy , and behavioral strategies with sham.

Behavioral: mHealth behavioral weight loss treatment

Non-gamified program with Active ICT

ACTIVE COMPARATOR

One group will be assigned to a 12-month mobile weight loss program that includes digital self-monitoring, simplified and self-selected dietary targets (to align with neurotraining and promote autonomy , and behavioral strategies with active neurotraining.

Behavioral: mHealth behavioral weight loss treatment

Gamified program with sham ICT

EXPERIMENTAL

One group will receive fully-gamified version of the program with a sham.

Behavioral: Gamified behavioral weight loss treatment

Gamified program with Active ICT

EXPERIMENTAL

One group will receive fully-gamified version of the program with active neurotraining.

Behavioral: Gamified behavioral weight loss treatment

Interventions

12-month mHealth fully-gamified version of the same program, comprised of a behavior change program with digital reinforcers for attainment of streaks and milestones, and an integrated neurotraining video game

Gamified program with Active ICTGamified program with sham ICT

a 12-month mHealth weight loss program that includes digital self-monitoring, simplified and self-selected dietary targets, physical activity and a control (sham) non-game neurotraining

Non-gamified program with Active ICTNon-gamified program with sham ICT

Eligibility Criteria

Age18 Years - 65 Years
Sexall(Gender-based eligibility)
Gender Eligibility DetailsAll participants will identify as male.
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Individuals must be of overweight or obese BMI (25-50 kg/m)
  • Individuals must be adults (aged 18-65)
  • Able to engage in physical activity (defined as walking two city blocks without stopping)
  • Individuals must also provide consent for the research team to contact their personal physician, if necessary, to provide clearance for the prescribed level of physical activity (i.e., walking) or to consult about rapid weight loss
  • Have moderate-to-high implicit preference for high-calorie foods
  • Satisfactory completion of all enrollment procedures\]

You may not qualify if:

  • Medical condition (e.g., cancer, type I diabetes, renal failure), heavy alcohol use, or psychiatric condition (e.g., active substance abuse, eating disorder) that may pose a risk to the participant during intervention or cause a change in weight
  • Recently began or changed the dosage of medication that can cause significant change in weight
  • History of bariatric surgery
  • Weight loss of ≥ 5% in the previous 3 months

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Drexel University

Philadelphia, Pennsylvania, 19102, United States

Location

MeSH Terms

Conditions

ObesityWeight Loss

Condition Hierarchy (Ancestors)

OverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and SymptomsBody Weight Changes

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
Outcomes assessors will be blind to condition.
Purpose
TREATMENT
Intervention Model
FACTORIAL
Model Details: Utilizing a 2 x 2 factorial design, participants will be randomized to a mobile weight loss program that includes digital self-monitoring, simplified and self-selected dietary targets program alone or to a fully-gamified version of the program, comprised of a mobile behavior change program featuring team-based competition and digital reinforcers for attainment of streaks and milestones. Participants are also randomized to receive sham or active neurotraining, which will be integrated into the program they receive.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor of Psychological and Brain Sciences

Study Record Dates

First Submitted

May 27, 2022

First Posted

June 7, 2022

Study Start

September 1, 2023

Primary Completion (Estimated)

March 1, 2027

Study Completion (Estimated)

March 1, 2027

Last Updated

March 23, 2026

Record last verified: 2026-03

Data Sharing

IPD Sharing
Will not share

Locations