scholarly journals Online community use predicts abstinence in combined Internet/phone intervention for smoking cessation.

2016 ◽  
Vol 84 (7) ◽  
pp. 633-644 ◽  
Author(s):  
George D. Papandonatos ◽  
Bahar Erar ◽  
Cassandra A. Stanton ◽  
Amanda L. Graham
Keyword(s):  
Smoking Cessation ◽  
Online Community ◽  
Internet Phone

Discriminative Cues for Different Stages of Smoking Cessation in Online Community

2016 ◽  
pp. 146-153 ◽  
Author(s):  
Thin Nguyen ◽  
Ron Borland ◽  
John Yearwood ◽  
Hua-Hie Yong ◽  
Svetha Venkatesh ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Online Community

scholarly journals Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions (Preprint)

2017 ◽  
Author(s):  
Sahiti Myneni ◽  
Vishnupriya Sridharan ◽  
Nathan Cobb ◽  
Trevor Cohen
Keyword(s):  
Smoking Cessation ◽  
Behavior Change ◽  
Online Communities ◽  
Online Community ◽  
Peer Interactions ◽  
User Engagement ◽  
Specific Behavior ◽  
Behavior Change Techniques ◽  
Active User

BACKGROUND Online communities provide affordable venues for behavior change. However, active user engagement holds the key to the success of these platforms. In order to enhance user engagement and in turn, health outcomes, it is essential to offer targeted interventional and informational support. OBJECTIVE In this paper, we describe a content plus frequency framework to enable the characterization of highly engaged users in online communities and study theoretical techniques employed by these users through analysis of exchanged communication. METHODS We applied the proposed methodology for analysis of peer interactions within QuitNet, an online community for smoking cessation. Firstly, we identified 144 highly engaged users based on communication frequency within QuitNet over a period of 16 years. Secondly, we used the taxonomy of behavior change techniques, text analysis methods from distributional semantics, machine learning, and sentiment analysis to assign theory-driven labels to content. Finally, we extracted content-specific insights from peer interactions (n=159,483 messages) among highly engaged QuitNet users. RESULTS Studying user engagement using our proposed framework led to the definition of 3 user categories—conversation initiators, conversation attractors, and frequent posters. Specific behavior change techniques employed by top tier users (threshold set at top 3) within these 3 user groups were found to be goal setting, social support, rewards and threat, and comparison of outcomes. Engagement-specific trends within sentiment manifestations were also identified. CONCLUSIONS Use of content-inclusive analytics has offered deep insight into specific behavior change techniques employed by highly engaged users within QuitNet. Implications for personalization and active user engagement are discussed.

scholarly journals Social Network Structure of a Large Online Community for Smoking Cessation

2010 ◽  
Vol 100 (7) ◽  
pp. 1282-1289 ◽  
Author(s):  
Nathan K. Cobb ◽  
Amanda L. Graham ◽  
David B. Abrams
Keyword(s):  
Smoking Cessation ◽  
Social Network ◽  
Network Structure ◽  
Online Community ◽  
Social Network Structure

scholarly journals Utilization of Smoking Cessation Informational, Interactive, and Online Community Resources as Predictors of Abstinence: Cohort Study

2008 ◽  
Vol 10 (5) ◽  
pp. e55 ◽  
Author(s):  
Lawrence C An ◽  
Barbara A Schillo ◽  
Jessie E Saul ◽  
Ann H Wendling ◽  
Colleen M Klatt ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cohort Study ◽  
Online Community ◽  
Community Resources

Dental students' attitudes toward smoking cessation guidelines

2000 ◽  
Vol 64 (9) ◽  
pp. 641-650 ◽  
Author(s):  
JK Yip ◽  
JL Hay ◽  
JS Ostroff ◽  
RK Stewart ◽  
GD Cruz
Keyword(s):  
Smoking Cessation ◽  
Dental Students ◽  
Students Attitudes ◽  
Attitudes Toward Smoking
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