Engagement in online social network-delivered weight loss interventions is a predictor of weight loss. Incentivizing engagement in a subset of participants may increase group engagement and subsequent weight loss. In a pilot feasibility trial, 56 adults with obesity were randomized to two Facebook-delivered weight loss interventions, one had 10% users incentivized to engage daily and the other did not. We compared conditions on engagement and weight loss, and then compared incentivized users and natural high engagers on weight loss. Participants were 46.3 (SD: 10.3) years and 89% female. The incentivized user condition had greater total engagement (p=0.0361), but weight loss did not differ (p=0.2096). Three natural superusers emerged in eac...
Most young adults gain weight while attending college, setting the stage for long-term weight gain, ...
Background: Online social networks, such as Facebook™, have extensive reach, and they use technology...
Objective To test the efficacy of a weight loss mobile app based on recommender systems and develope...
Engagement in online social network-delivered weight loss interventions is a predictor of weight los...
Little is known about how online social networking can help enhance weight loss. To examine the type...
The prevalence of overweight/obesity is high resulting from prolonged imbalance of energy intake and...
Studies of social media-delivered behavioral interventions generally reveal that engagement, as defi...
BACKGROUND: Lifestyle interventions are efficacious at reducing risk for diabetes and cardiovascular...
Online diet and exercise programs offer individuals many benefits not previously afforded, such as c...
BACKGROUND: Online social networks may be a promising modality to deliver lifestyle interventions by...
INTRODUCTION:The aim of this project was to evaluate the effectiveness of using social media to augm...
Background: Over the last three decades, overweight and obesity and the associated health consequenc...
Introduction: The aim of this project was to evaluate the effectiveness of using social media to aug...
Background: Online social networks offer considerable potential for delivery of socially influential...
Introduction: Research shows that setting goals, planning, selfmonitoring and social support are im...
Most young adults gain weight while attending college, setting the stage for long-term weight gain, ...
Background: Online social networks, such as Facebook™, have extensive reach, and they use technology...
Objective To test the efficacy of a weight loss mobile app based on recommender systems and develope...
Engagement in online social network-delivered weight loss interventions is a predictor of weight los...
Little is known about how online social networking can help enhance weight loss. To examine the type...
The prevalence of overweight/obesity is high resulting from prolonged imbalance of energy intake and...
Studies of social media-delivered behavioral interventions generally reveal that engagement, as defi...
BACKGROUND: Lifestyle interventions are efficacious at reducing risk for diabetes and cardiovascular...
Online diet and exercise programs offer individuals many benefits not previously afforded, such as c...
BACKGROUND: Online social networks may be a promising modality to deliver lifestyle interventions by...
INTRODUCTION:The aim of this project was to evaluate the effectiveness of using social media to augm...
Background: Over the last three decades, overweight and obesity and the associated health consequenc...
Introduction: The aim of this project was to evaluate the effectiveness of using social media to aug...
Background: Online social networks offer considerable potential for delivery of socially influential...
Introduction: Research shows that setting goals, planning, selfmonitoring and social support are im...
Most young adults gain weight while attending college, setting the stage for long-term weight gain, ...
Background: Online social networks, such as Facebook™, have extensive reach, and they use technology...
Objective To test the efficacy of a weight loss mobile app based on recommender systems and develope...