ArticleJournal of medical Internet research2010
Online social and professional support for smokers trying to quit: an exploration of first time posts from 2562 members.
Article in Journal of medical Internet research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03760224 (Effectiveness of WhatsApp Online Group Discussion for Smoking Relapse Prevention), which is not on this map. Cited by 45 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness of WhatsApp Online Group Discussion for Smoking Relapse Prevention: a Pragmatic Randomized Controlled Trial
Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication.Journal of medical Internet research · 2013Pooled it
- The Effect of Re-randomization in a Smoking Cessation Trial.American journal of health behavior · 2016Trial
- Using WhatsApp and Facebook Online Social Groups for Smoking Relapse Prevention for Recent Quitters: A Pilot Pragmatic Cluster Randomized Controlled Trial.Journal of medical Internet research · 2015Trial
- Trial
- Developing a Behavioral Phenotyping Layer for Artificial Intelligence-Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Nudges and Prompts Increase Engagement in Self-Guided Digital Health Treatment for Depression and Anxiety: Results From a 3-Arm Randomized Controlled Trial.JMIR formative research · 2024Article
- Online health communities influence people's health behaviors in the context of COVID-19.PloS one · 2023Article
- Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions.JMIR mental health · 2022Article
- Testing Behavioral Nudges and Prompts in Digital Courses for the Self-guided Treatment of Depression and Anxiety: Protocol for a 3-Arm Randomized Controlled Trial.JMIR research protocols · 2022Article
- Assessment of Social Support and Quitting Smoking in an Online Community Forum: Study Involving Content Analysis.JMIR formative research · 2022Article
- Social Network Analysis of an Online Smoking Cessation Community to Identify Users' Smoking Status.Healthcare informatics research · 2021Article
- Effectiveness of WhatsApp online group discussion for smoking relapse prevention: protocol for a pragmatic randomized controlled trial.Addiction (Abingdon, England) · 2020Article
- Superusers' Engagement in Asthma Online Communities: Asynchronous Web-Based Interview Study.Journal of medical Internet research · 2020Article
- Effectiveness of Facebook Groups to Boost Participation in a Parenting Intervention.Prevention science : the official journal of the Society for Prevention Research · 2019Article
- Inferring Smoking Status from User Generated Content in an Online Cessation Community.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019Article
- Mining User-Generated Content in an Online Smoking Cessation Community to Identify Smoking Status: A Machine Learning Approach.Decision support systems · 2019Article
- Coping Strategies and Social Support in a Mobile Phone Chat App Designed to Support Smoking Cessation: Qualitative Analysis.JMIR mHealth and uHealth · 2018Article
- Strategies to Increase Latino Immigrant Youth Engagement in Health Promotion Using Social Media: Mixed-Methods Study.JMIR public health and surveillance · 2018Article
- Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use.Addictive behaviors · 2018Article
- Conversation Within a Facebook Smoking Cessation Intervention Trial For Young Adults (Tobacco Status Project): Qualitative Analysis.JMIR formative research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBoth intratreatment and extratreatment social support are associated with increased rates of smoking cessation. Internet-based social support groups have the capability of connecting widely dispersed groups of people trying to quit smoking, making social support available 24 hours a day, seven days a week, at minimal cost. However, to date there has been little research to guide development of this particular feature of Web-assisted tobacco interventions (WATIs).
objectiveOur objectives were to compare the characteristics of smokers who post in an online smoking cessation support group with smokers who do not post, conduct a qualitative analysis of discussion board content, and determine the time it takes for new users to receive feedback from existing members or moderators.
methodsData were collected from StopSmokingCenter.net version 5.0, a WATI equipped with an online social support network moderated by trained program health educators that was operational from November 6, 2004, to May 15, 2007. Demographic and smoking characteristics for both users and nonusers of the online social support network were analyzed, and qualitative analyses were conducted to explore themes in message content. Posting patterns and their frequency were also analyzed.
resultsDuring the study period, 16,764 individuals registered; of these, 70% (11,723) reported being American. The mean age of registrants was 38.9 years and 65% (10,965) were female. The mean number of cigarettes smoked was 20.6 per day. The mean score for the 41% (6849) of users who completed the Fagerström Test for Nicotine Dependence was 5.6. Of all registered members, 15% (2562) made at least one post in the online social support network; 25% of first posts received a response from another member within 12 minutes, 50% within 29 minutes. The most frequent first posts were from recent quitters who were struggling with their quit attempts, and most responses were from members who had quit for a month or more. Differences in demographic and smoking characteristics between members who posted on the support group board at least once and those who did not post were statistically but not clinically significant.
conclusionsPeer responses to new users were rapid, indicating that online social support networks may be particularly beneficial to smokers requiring more immediate assistance with their cessation attempt. This function may be especially advantageous for relapse prevention. Accessing this kind of rapid in-person support from a professional would take an inordinate amount of time and money. Further research regarding the effectiveness of WATIs with online social support networks is required to better understand the contribution of this feature to cessation, for both active users (posters) and passive users ("lurkers") alike.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.