What Type of Engagement Predicts Success in a Facebook Weight Loss Group?

dc.contributor.author Pagoto, Sherry
dc.contributor.author Waring, Molly
dc.contributor.author Jake-Schoffman, Danielle
dc.contributor.author Goetz, Jared
dc.contributor.author Michaels, Zachary
dc.contributor.author Oleski, Jessica
dc.contributor.author DiVito, Joseph
dc.date.accessioned 2017-12-28T01:50:25Z
dc.date.available 2017-12-28T01:50:25Z
dc.date.issued 2018-01-03
dc.description.abstract Studies of social media-delivered behavioral interventions generally reveal that engagement, as defined as total number of posts, is associated with better outcomes. Little is known about whether the type of engagement, volume of content posted, or timing of engagement matters. In the present study, we analyzed the content, volume, and timing of participant posts in a Facebook weight loss intervention. Content was analyzed via thematic analyses. Volume was defined as total characters posted. We explored types of posts and for each, how frequency and volume overall, and in first half and second half of intervention were related to weight loss at end of treatment. Findings revealed that reporting a healthy choice was the most common type of post. The frequency and volume of most types of posts except negative posts predicted weight loss, but those occurring in second half of intervention were more strongly related to weight loss.
dc.format.extent 9 pages
dc.identifier.doi 10.24251/HICSS.2018.419
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50307
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Social Media and Healthcare Technology
dc.subject obesity, patient community, social media, social networking
dc.title What Type of Engagement Predicts Success in a Facebook Weight Loss Group?
dc.type Conference Paper
dc.type.dcmi Text
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
349.36 KB
Adobe Portable Document Format