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NCT06335810Recruiting

Reducing Obesity Using Social Ties Program

Reducing Obesity Using Social Ties (ROBUST): Randomized Control Trial
Weill Medical College of Cornell UniversityClinicalTrials.govbehavioral
Study focus
Disease/Condition
Obesity
Drug/Device/Intervention
Social Network Intervention
Study type
Interventional
Intervention type
behavioral
Sponsor & location
Primary sponsor
Weill Medical College of Cornell University
Location
Brooklyn,New York,New York,New York, United States of America
Timeline & enrollment
Phase
N/A
Start date
Apr 05, 2024
End date
Mar 01, 2026
Enrollment
264 participants
Primary outcome

Number of participants who have attended at least 75 percent of the behavioral coaching sessions,Number of intervention participants who have at least one social network member engage in the study,Number of participants and social network members combined who complete the final study assessment

Summary

This trial aims to test the feasibility and acceptability of addressing interpersonal
 barriers to weight-related behavior change. Specifically, the study will test if, by
 including up to two friends, family members, or co-workers in a lifestyle intervention for
 weight loss, the person enrolled in the study loses more weight than someone whose friends,
 family members, or co-workers were not invited to participate.

ICD-10 classifications
ObesityOther obesityObesity, unspecifiedObesity due to excess caloriesObesity and other hyperalimentation
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06335810
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06335810 through Pure Global AI's free database. This phase not specified trial is sponsored by Weill Medical College of Cornell University and is currently Recruiting. The study focuses on Obesity. Target enrollment is 264 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.