Evidence map›Paper›PMID 27613899›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2017

How US Smokers Refer to E-cigarettes: An Examination of User-Generated Posts From a Web-Based Smoking Cessation Intervention, 2008-2015.

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

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. An Examination of the Variation in Estimates of E-Cigarette Prevalence among U.S. Adults.International journal of environmental research and public health · 2019
    Article
  4. A Deliberate Choice? Exploring the Decision to Switch from Cigarettes to E-Cigarettes.International journal of environmental research and public health · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

8 authors.

Jennifer L PearsonSchroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC; jpearson@truthinitiative.org.
Michael S AmatoSchroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC.
Xi WangDepartment of Management Sciences, University of Iowa, Iowa City, IA.
Kang ZhaoDepartment of Management Sciences, University of Iowa, Iowa City, IA.
Sarah ChaSchroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC.
Amy M CohnSchroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC.
George D PapandonatosCenter for Statistical Sciences, Brown University, Providence, RI.
Amanda L GrahamSchroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC.

Funding

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 CA192345
6 · The paper itself

Abstract

introductionA challenge in Electronic Nicotine Delivery System (ENDS) research is how to refer to these devices in ways that are meaningful to current or potential users. The objectives of this study were to: (1) describe the frequency of ENDS terms in a web-based smoking cessation intervention; and (2) determine whether terms vary by US geographic region and date.

methodsData were drawn from public posts between 2008-2015 on http://BecomeAnEX.org and limited to US users. We conducted "exact" and "fuzzy" searches to find posts containing ENDS keywords using custom Python scripts, and extracted geocoding data and date for each post. We examined counts and frequencies of ENDS terms by unique user, by unique user and region, and by unique user and date.

resultsWe identified 1023 unique US website users who had written a post containing one or more ENDS keywords. Posters were majority female (79%), educated (78% attended at least some college), and had a median age of 47 years. Overall, 92% of ENDS posters employed the term "e-cigarette" or a derivation. Derivations of "vape" became increasingly popular in 2013, whereas "NJoy" and "blu" were employed by fewer than 2% of posters. We found no variation in frequency of ENDS terms by US region.

conclusionsResearchers may have confidence that "e-cigarette" and "vape" are recognizable terms among US treatment-seeking smokers. Conversely, terms such as "ENDS," commonly employed by researchers and public health advocates, are not used by smokers and may be an impediment to tobacco control research. IMPLICATIONS: Researchers may have confidence that "e-cigarette," and, to a lesser extent, "vape" are recognizable terms among US adult smokers referring to ENDS (including accessories, brand names, and actions). Conversely, terms such as "electronic nicotine delivery systems," commonly employed by researchers and public health advocates, are not used by US smokers and may be an impediment to tobacco control research and practice.

Indexed as

Electronic Nicotine Delivery SystemsPsychological DistancePublic OpinionSmokingAdultFemaleHarm ReductionHumansInternetMiddle AgedSmoking CessationTerminology as TopicUnited StatesYoung Adult

Identifiers

PMID27613899
PMCPMC5234368

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.