Losing It Online: Characterizing Participation in an Online Weight Loss Community

dc.contributor.authorLi, Victor
dc.contributor.authorMcDonald, David W.
dc.contributor.authorEikey, Elizabeth V.
dc.contributor.authorSweeney, Jessica
dc.contributor.authorEscajeda, Janessa
dc.contributor.authorDubey, Guarav
dc.contributor.authorRiley, Kaitlin
dc.contributor.authorPoole, Erika S.
dc.contributor.authorHekler, Eric B.
dc.date.accessioned2023-03-17T22:48:38Z
dc.date.available2023-03-17T22:48:38Z
dc.date.issued2014
dc.description.abstractMany people struggle with their weight and are turning to online communities for social and informational support. The aim of this study is to understand the issues commonly discussed in online weight loss communities. Through observation and content analysis of threads in one specific weight loss community, we identified 17 distinct categories discussed by the participants. We detail four categories specifically: Personal Experience, Consumption Choices, Dieting Strategy, and Exercise. Our analysis describes some key user roles and states that often relate to different phases of a person's weight loss journey. We identify a set of transient states, which are not proper roles but are significant in an online community where individuals are attempting to change their own behaviors. We close with design suggestions for encouraging and maintaining participant engagement in an online health communityen
dc.identifier.doi10.1145/2660398.2660416
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4471
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2014 ACM International Conference on Supporting Group Work
dc.subjectweight loss
dc.subjectonline community
dc.subjectcontent analysis
dc.titleLosing It Online: Characterizing Participation in an Online Weight Loss Communityen
dc.typeText/Conference Paper
gi.citation.startPage35–45
gi.citations.count19
gi.citations.elementAlbert Park, Andrea L Hartzler, Jina Huh, Gary Hsieh, David W McDonald, Wanda Pratt (2016): “How Did We Get Here?”: Topic Drift in Online Health Discussions, In: Journal of Medical Internet Research 11(18), doi:10.2196/jmir.6297
gi.citations.elementDoğa Gatos, Aslı Günay, Güncel Kırlangıç, Kemal Kuscu, Asim Evren Yantac (2021): How HCI Bridges Health and Design in Online Health Communities: A Systematic Review, In: Designing Interactive Systems Conference 2021, doi:10.1145/3461778.3462100
gi.citations.elementCidila Da Moura Semedo, Peter Bath, Ziqi Zhang (2022): Social Support in a Diabetes Online Community: A Mixed Methods Content Analysis (Preprint), doi:10.2196/preprints.41320
gi.citations.elementJing Wang, Patrick C. Shih, John M. Carroll (2015): Life After Weight Loss: Design Implications for Community-based Long-term Weight Management, In: Computer Supported Cooperative Work (CSCW) 4(24), doi:10.1007/s10606-015-9226-5
gi.citations.elementLing Wu, Joshua Paolo Seguin, Dharshani Chandrasekara, Mairead Claire Cardamone-Breen, Jue Xie, Roisin Mcnaney, Tom Bartindale, Patrick Olivier, Marie B H Yap (2024): Designing online peer support for parents of adolescents at risk of mental health challenges, In: Proceedings of the CHI Conference on Human Factors in Computing Systems, doi:10.1145/3613904.3642184
gi.citations.elementStevie Chancellor, Andrea Hu, Munmun De Choudhury (2018): Norms Matter, In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3173574.3174240
gi.citations.elementShefali Haldar, Sonali R. Mishra, Maher Khelifi, Ari H. Pollack, Wanda Pratt (2017): Opportunities and Design Considerations for Peer Support in a Hospital Setting, In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3025453.3026040
gi.citations.elementYafei Wang, Ingmar Weber, Prasenjit Mitra (2016): Quantified Self Meets Social Media, In: Proceedings of the 6th International Conference on Digital Health Conference, doi:10.1145/2896338.2896363
gi.citations.elementDonghee Yvette Wohn, Cliff Lampe (2018): Psychological Wellbeing as an Explanation of User Engagement in the Lifecycle of Online Community Participation, In: Proceedings of the 2018 ACM Conference on Supporting Groupwork, doi:10.1145/3148330.3148351
gi.citations.elementCidila Da Moura Semedo, Peter A Bath, Ziqi Zhang (2023): Social Support in a Diabetes Online Community: Mixed Methods Content Analysis, In: JMIR Diabetes, doi:10.2196/41320
gi.citations.elementEric B Hekler, Gaurav Dubey, David W McDonald, Erika S Poole, Victor Li, Elizabeth Eikey (2014): Exploring the Relationship Between Changes in Weight and Utterances in an Online Weight Loss Forum: A Content and Correlational Analysis Study, In: Journal of Medical Internet Research 12(16), doi:10.2196/jmir.3735
gi.citations.elementKathleen Ryan, Conor Linehan, Samantha Dockray (2021): Appropriation of Digital Tracking Tools in an Online Weight Loss Community: Individual and Shared Experiences, In: Designing Interactive Systems Conference 2021, doi:10.1145/3461778.3462092
gi.citations.elementKathryn E. Ringland (2019): “Autsome”: Fostering an Autistic Identity in an Online Minecraft Community for Youth with Autism, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-15742-5_12
gi.citations.elementAmanda Lazar, Emma E. Dixon (2019): Safe Enough to Share, In: Proceedings of the ACM on Human-Computer Interaction CSCW(3), doi:10.1145/3359187
gi.citations.elementChia-Fang Chung, Elena Agapie, Jessica Schroeder, Sonali Mishra, James Fogarty, Sean A. Munson (2017): When Personal Tracking Becomes Social, In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3025453.3025747
gi.citations.elementJihyeon Kim, Uran Oh (2019): EmoWei : Emotion-Oriented Personalized Weight Management System Based on Sentiment Analysis, In: 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI), doi:10.1109/iri.2019.00060
gi.citations.elementKristina Feldvari, Anita Dremel, Snježana Stanarević Katavić (2020): Virtual Fitness Community: Online Behavior on a Croatian Fitness Forum, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-49570-1_32
gi.citations.elementXi Lu, Yunan Chen, Daniel A. Epstein (2021): A Model of Socially Sustained Self-Tracking for Food and Diet, In: Proceedings of the ACM on Human-Computer Interaction CSCW2(5), doi:10.1145/3479595
gi.citations.elementKatrina J Serrano, Mandi Yu, Kisha I Coa, Linda M Collins, Audie A Atienza (2016): Mining Health App Data to Find More and Less Successful Weight Loss Subgroups, In: Journal of Medical Internet Research 6(18), doi:10.2196/jmir.5473
gi.conference.locationSanibel Island, Florida, USA

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