Evidence map›Paper›PMID 29940390›Full record

ArticleAddictive behaviors2018

Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use.

Jennifer L Pearson, Michael S Amato, George D Papandonatos, Kang Zhao, Bahar Erar, Xi Wang, Sarah Cha, Amy M Cohn, Amanda L Graham

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Jennifer L PearsonUniversity of Nevada, Reno, NV, United States.
Michael S AmatoSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States.
George D PapandonatosCenter for Statistical Sciences, Brown University, Providence, RI, United States.
Kang ZhaoTippie College of Business, The University of Iowa, Iowa City, IA, United States.
Bahar ErarCenter for Statistical Sciences, Brown University, Providence, RI, United States.
Xi WangSchool of Information, Central University of Finance and Economics, Beijing, China.
Sarah ChaSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States.
Amy M CohnBattelle Memorial Institute, Arlington, VA, United States; Department of Oncology, Georgetown University Medical Center/Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC, United States.
Amanda L GrahamSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States; Department of Oncology, Georgetown University Medical Center/Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC, United States. Electronic address: agraham@truthinitiative.org.
American Legacy Foundation · USBrown University · USBattelle · USCentral University of Finance and Economics · CNUniversity of Iowa · USUniversity of Nevada, Reno · US

Funding

Improving Adherence to Web-based Cessation Programs: A Social Network ApproachR01CA155489 · NCI · TRUTH INITIATIVE FOUNDATION · PI GRAHAM, AMANDA L · 2011 to 2015
$2.6M
Social Dynamics of Substance Use in Online Social Networks for Smoking CessationR01CA192345 · NCI · TRUTH INITIATIVE FOUNDATION · PI GRAHAM, AMANDA L, ZHAO, KANG · 2014 to 2016
$1.4M
NCI NIH HHS R01 CA155489NCI NIH HHS R01 CA192345
6 · The paper itself

Abstract

backgroundLittle is known about the influence of online peer interactions on health behavior change. This study examined the relationship between exposure to peer sentiment about nicotine replacement therapy (NRT) in an online social network for smoking cessation and NRT use.

methodsParticipants were 3297 current smokers who enrolled in an Internet smoking cessation program, participated in a randomized trial, and completed a 3-month follow-up. Half received free NRT as part of the trial. Automated text classification identified 27,038 posts about NRT that one or more participants were exposed to in the social network. Sentiment towards NRT was rated on Amazon Mechanical Turk. Participants' exposure to peer sentiment about NRT was determined by analysis of clickstream data. Modified Poisson regression examined self-reported use of NRT at 3-months as a function of exposure to NRT sentiment, controlling for study arm and post exposure.

resultsOne in five participants (19.3%, n = 639) were exposed to any NRT-related posts (mean exposure = 6.5 ± 14.7, mean sentiment = 5.4 ± 0.8). The association between sentiment exposure and NRT use varied by receipt of free NRT. Greater exposure to positive NRT sentiment was associated with an increased likelihood of NRT use among participants who did not receive free NRT (adjusted rate ratio 1.22, 95% CI 1.01, 1.47; p = .043), whereas no such relationship was observed among participants who did receive free NRT (p = .48).

conclusionsExposure to positive sentiment about NRT was associated with increased NRT use when smokers obtained it on their own. Highlighting user-generated content containing positive NRT sentiment may increase NRT use among treatment-seeking smokers.

Indexed as

Attitude to HealthInternetOnline Social NetworkingPeer GroupTobacco Use Cessation DevicesAdolescentAdultAgedFemaleHumansMaleMiddle AgedSmoking CessationSocial NetworkingTobacco Use DisorderYoung AdultHumansInternet, classification(MeSH)Observational studySmokingTobacco products/utilizationUnited States

Identifiers

PMID29940390
PMCPMC6993115
OpenAlexW2809666198

What OpenQuestion holds

Textmetadata
LicenceTDM
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.