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Reducing Obesity Using Social Ties (ROBUST): Protocol for a randomized control trial of a social network lifestyle
Erica Phillips1, Caitlin Potter2, Jaleel Poole1
1Department of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, New York, United States of America.
Plos One
|April 16, 2025
Summary
The ROBUST study enhances lifestyle interventions for weight loss in Black and Hispanic adults by leveraging social networks. It explores how social connections can improve obesity treatment outcomes in targeted populations.
Area of Science:
- Public Health
- Behavioral Science
- Social Network Analysis
Background:
- Obesity remains a significant public health concern, particularly among Black and Hispanic adults.
- Existing lifestyle interventions show variable success, highlighting the need for innovative approaches.
- Social network dynamics are increasingly recognized as potential modulators of health behaviors and outcomes.
Purpose of the Study:
- To investigate the impact of social network processes on weight loss within a lifestyle intervention.
- To evaluate a social network-enhanced lifestyle intervention compared to standard care.
- To specifically address weight management in underserved Black and Hispanic populations.
Main Methods:
- A randomized controlled trial (RCT) involving 132 adults with obesity (BMI ≥ 30 kg/m2).
- Participants self-identify as Black or Hispanic.
- Intervention includes recruiting social network members for skill-building alongside individual coaching.
Main Results:
- The study aims to provide pragmatic evidence on the efficacy of social network interventions.
- It will measure changes in diet, physical activity, affect, social processes, and anthropometrics.
- Outcomes will be assessed at baseline and 24 weeks post-intervention.
Conclusions:
- This research offers novel insights into optimizing weight loss through communal coping within social networks.
- It targets a population historically less responsive to traditional weight loss strategies.
- Findings could inform more effective, culturally tailored obesity interventions.

