Evidence map›Paper›PMID 31593592›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2021

Connectedness Based on Shared Engagement Predicts Remote Biochemically Verified Quit Status Within Smoking Cessation Treatment Groups on Facebook.

Meredith C Meacham, Ou Stella Liang, Mengnan Zhao, Christopher C Yang, Johannes Thrul, Danielle E Ramo

Erratum issuedAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Factors Associated With Abstinence Among Young Adult Smokers Enrolled in a Real-world Social Media Smoking Cessation Program.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Live counselor contact in a Facebook intervention predicts smoking cessation outcomes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2020
    Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Meredith C MeachamDepartment of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA.
Ou Stella LiangCollege of Computing and Informatics, Drexel University, Philadelphia, PA.
Mengnan ZhaoCollege of Computing and Informatics, Drexel University, Philadelphia, PA.
Christopher C YangCollege of Computing and Informatics, Drexel University, Philadelphia, PA.
Johannes ThrulDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Danielle E RamoDepartment of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA.

Funding

Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Social Media Intervention for Young Adult SmokersK23DA032578 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RAMO, DANIELLE E · 2012 to 2016
$927k
Using Digital Tools to Understand Contexts and Consequences of High-THC Cannabis UseK01DA046697 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MEACHAM, MEREDITH · 2019 to 2023
$923k
NIDA NIH HHS K01 DA046697NIDA NIH HHS K23 DA032578NIDA NIH HHS T32 DA007250
6 · The paper itself

Abstract

introductionEngagement with online content and online social network integration are associated with smoking behavior change, but less is known about social dynamics of shared engagement between participants in group-based social media interventions.

methodsParticipants were 251 young adult smokers aged 18 to 25 assigned to one of 29 secret Facebook groups tailored to their readiness to quit smoking ("pre-contemplation," "contemplation," and "preparation"). Groups varied in size and were randomly assigned to receive monetary incentives for engagement. All groups received daily posts for 90 days and were assessed for remote biochemically verified smoking abstinence at the end of the intervention. Across 29 groups, we examined associations between group features (group size, incentive condition, readiness to quit) with how connected members were within the group based on shared engagement with the same content (measured by density). At the individual level, we examined associations between 7-day biochemically verified smoking abstinence and how connected an individual was within the group (measured by degree centrality).

resultsAfter adjusting for comment volume, being in a contemplation group (vs. pre-contemplation group) was associated with a decrease in comment-based density. Individual degree centrality was significantly associated with biochemically verified smoking abstinence for both comments and likes.

conclusionsFuture group-based social media interventions for smoking cessation may want to focus on promoting connected engagement between participants, rather than simply quantity of engagement. IMPLICATIONS: Participants in a smoking cessation intervention delivered through Facebook groups were more likely to have biochemically verified smoking abstinence if they were more connected to the rest of the group via shared engagement. Promoting shared engagement between participants may be more likely to promote behavior change than volume of engagement alone.

Indexed as

Behavior TherapyAdolescentAdultFemaleHealth BehaviorHumansMaleMotivationSmokersSmokingSmoking CessationSocial MediaTelemedicineUnited StatesYoung Adult

Identifiers

PMID31593592
PMCPMC7789937

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.