Literature DB >> 27379777

Online tobacco websites and online communities-who uses them and do users quit smoking? The quit-primo and national dental practice-based research network Hi-Quit studies.

Sarah L Cutrona1, Rajani S Sadasivam2, Kathryn DeLaughter2, Ariana Kamberi2, Julie E Volkman2,3, Nathan Cobb4,5, Gregg H Gilbert6, Midge N Ray7, Thomas K Houston2,3.   

Abstract

Online tobacco cessation communities are beneficial but underused. Our study examined whether, among smokers participating in a web-assisted tobacco intervention (Decide2quit.org), specific characteristics were associated with navigating to BecomeAnEx.org, an online cessation community, and with subsequent quit rates. Among smokers (N = 759) registered with Decide2quit.org, we identified visitors to BecomeAnEx.org, examining associations between smoker characteristics and likelihood of visiting. We then tested for associations between visits and 6-month cessation (point prevalence). We also tested for an interaction between use of other online support-seeking (Decide2quit.org tobacco cessation coaches), visiting, and 6-month cessation. One quarter (26.0 %; n = 197) of the smokers visited BecomeAnEx.org; less than one tenth (7.5 %; n = 57) registered to participate in the online forum. Visitors were more likely to be female (73.0 vs. 62.6 % of non-visitors, P < 0.01) to have visited a cessation website before (33.0 vs. 17.4 %, P < 0.01) and to report quit attempts in the previous year (62.0 vs. 53.0 %, P = 0.03). In analyses of all participants, BecomeAnEx.org visiting was not associated with 6-month quit completion. Among participants who communicated with a coach, BecomeAnEx.org visiting also lacked a significant association with 6 month quit completion, although a non-significant trend toward quit completion in visitors was noted (OR 2.21, 95 % CI 0.81-3.1). Online cessation communities attract smokers with previous cessation website experience and recent quit attempts. Community visiting was not associated with quit rates in our study, but low use may have limited our power to detect differences. Further research should explore whether an additive effect can be achieved by offering community visitors support via online coaches.

Entities:  

Keywords:  Health services research; Internet; Online behavior change systems; Smoking cessation; Social network; Social support

Mesh:

Year:  2016        PMID: 27379777      PMCID: PMC5110489          DOI: 10.1007/s13142-015-0373-5

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  37 in total

1.  Social networks and collateral health effects.

Authors:  Nicholas A Christakis
Journal:  BMJ       Date:  2004-07-24

2.  Health behavior interventions in the age of facebook.

Authors:  Nathan K Cobb; Amanda L Graham
Journal:  Am J Prev Med       Date:  2012-11       Impact factor: 5.043

3.  Social network structure of a large online community for smoking cessation.

Authors:  Nathan K Cobb; Amanda L Graham; David B Abrams
Journal:  Am J Public Health       Date:  2010-05-13       Impact factor: 9.308

4.  Realizing the promise of Web 2.0: engaging community intelligence.

Authors:  Bradford W Hesse; Mary O'Connell; Erik M Augustson; Wen-Ying Sylvia Chou; Abdul R Shaikh; Lila J Finney Rutten
Journal:  J Health Commun       Date:  2011

5.  Smoking cessation via the internet: a randomized clinical trial of an internet intervention as adjuvant treatment in a smoking cessation intervention.

Authors:  Sandra J Japuntich; Mark E Zehner; Stevens S Smith; Douglas E Jorenby; José A Valdez; Michael C Fiore; Timothy B Baker; David H Gustafson
Journal:  Nicotine Tob Res       Date:  2006-12       Impact factor: 4.244

6.  Measures of abstinence in clinical trials: issues and recommendations.

Authors:  John R Hughes; Josue P Keely; Ray S Niaura; Deborah J Ossip-Klein; Robyn L Richmond; Gary E Swan
Journal:  Nicotine Tob Res       Date:  2003-02       Impact factor: 4.244

7.  Online social networks and smoking cessation: a scientific research agenda.

Authors:  Nathan K Cobb; Amanda L Graham; M Justin Byron; Raymond S Niaura; David B Abrams
Journal:  J Med Internet Res       Date:  2011-12-19       Impact factor: 5.428

Review 8.  A review of web-assisted tobacco interventions (WATIs).

Authors:  Beth C Bock; Amanda L Graham; Jessica A Whiteley; Jacqueline L Stoddard
Journal:  J Med Internet Res       Date:  2008-11-06       Impact factor: 5.428

9.  Adult Willingness to Use Email and Social Media for Peer-to-Peer Cancer Screening Communication: Quantitative Interview Study.

Authors:  Sarah L Cutrona; Douglas W Roblin; Joann L Wagner; Bridget Gaglio; Andrew E Williams; Rosalie Torres Stone; Terry S Field; Kathleen M Mazor
Journal:  JMIR Res Protoc       Date:  2013-11-28

Review 10.  Are health behavior change interventions that use online social networks effective? A systematic review.

Authors:  Carol A Maher; Lucy K Lewis; Katia Ferrar; Simon Marshall; Ilse De Bourdeaudhuij; Corneel Vandelanotte
Journal:  J Med Internet Res       Date:  2014-02-14       Impact factor: 5.428

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  2 in total

1.  Randomized Trial of a Web-Based Tobacco Treatment and Online Community Support for People With HIV Attempting to Quit Smoking Cigarettes.

Authors:  Jonathan Shuter; Geetanjali Chander; Amanda L Graham; Ryung S Kim; Cassandra A Stanton
Journal:  J Acquir Immune Defic Syndr       Date:  2022-06-01       Impact factor: 3.771

2.  The failure to increase social support: it just might be time to stop intervening (and start rigorously observing).

Authors:  Amanda L Graham; George D Papandonatos; Kang Zhao
Journal:  Transl Behav Med       Date:  2017-12       Impact factor: 3.046

  2 in total

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