title: Factors Associated With Weight Change in Online Weight Management Communities: A Case Study in the LoseIt Reddit Community.
abstract: Recent research has shown that of the 72% of American Internet users who have looked for health information online, 22% have searched for help to lose or control weight. This demand for information has given rise to many online weight management communities, where users support one another throughout their weight loss process. Whether and how user engagement in online communities relates to weight change is not totally understood.
  
  
  
  We investigated the activity behavior and analyze the semantic content of the messages of active users in LoseIt (r/loseit), a weight management community of the online social network Reddit. We then explored whether these features are associated with weight loss in this online social network.
  
  
  
  A data collection tool was used to collect English posts, comments, and other public metadata of active users (ie, users with at least one post or comment) on LoseIt from August 2010 to November 2014. Analyses of frequency and intensity of user interaction in the community were performed together with a semantic analysis of the messages, done by a latent Dirichlet allocation method. The association between weight loss and online user activity patterns, the semantics of the messages, and real-world variables was found by a linear regression model using 30-day weight change as the dependent variable.
  
  
  
  We collected posts and comments of 107,886 unique users. Among these, 101,003 (93.62%) wrote at least one comment and 38,981 (36.13%) wrote at least one post. Median percentage of days online was 3.81 (IQR 9.51). The 10 most-discussed semantic topics on posts were related to healthy food, clothing, calorie counting, workouts, looks, habits, support, and unhealthy food. In the subset of 754 users who had gender, age, and 30-day weight change data available, women were predominant and 92.9% (701/754) lost weight. Female gender, body mass index (BMI) at baseline, high levels of online activity, the number of upvotes received per post, and topics discussed within the community were independently associated with weight change.
  
  
  
  Our findings suggest that among active users of a weight management community, self-declaration of higher BMI levels (which may represent greater dissatisfaction with excess weight), high online activity, and engagement in discussions that might provide social support are associated with greater weight loss. These findings have the potential to aid health professionals to assist patients in online interventions by focusing efforts on increasing engagement and/or starting discussions on topics of higher impact on weight change.
authors.affiliation: Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
authors.forename: Gisele Lobo
authors.identifier: 0000-0002-0349-4494
authors.initials: GL
authors.lastname: Pappa
authors.affiliation: Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
authors.forename: Tiago Oliveira
authors.identifier: 0000-0002-2986-4908
authors.initials: TO
authors.lastname: Cunha
authors.affiliation: Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
authors.forename: Paulo Viana
authors.identifier: 0000-0002-9278-6252
authors.initials: PV
authors.lastname: Bicalho
authors.affiliation: Internal Medicine Department, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.|Centro de Telessaúde do Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
authors.forename: Antonio
authors.identifier: 0000-0002-2740-0042
authors.initials: A
authors.lastname: Ribeiro
authors.affiliation: Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
authors.forename: Ana Paula
authors.identifier: 0000-0001-5951-3562
authors.initials: AP
authors.lastname: Couto Silva
authors.affiliation: Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
authors.forename: Wagner
authors.identifier: 0000-0002-2614-2723
authors.initials: W
authors.lastname: Meira
authors.affiliation: Internal Medicine Department, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
authors.forename: Alline Maria Rezende
authors.identifier: 0000-0002-7848-3183
authors.initials: AM
authors.lastname: Beleigoli
mesh_terms: D000328:Adult; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D009765:Obesity / Q000523:psychology* / Q000628:therapy*; D061108:Social Media; D012944:Social Support; D015431:Weight Loss
keywords: obesity; online social media; topic modeling; user behavior; weight loss