Evidence map›Paper›PMID 26971508›Full record

ArticleInternational journal of public health2016

Effectiveness of health warnings for waterpipe tobacco smoking among college students.

Farahnaz Islam, Ramzi G Salloum, Rima Nakkash, Wasim Maziak, James F Thrasher

Abstract read
In one paragraph

Article in International journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
–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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Relative Efficacy of Cigarillo Warning Statements in Text and Pictorial Formats: An Experimental Study Among a Sample of US Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Trial
  6. Effects of Pictorial Health Warning Labels on Intention to Quit Waterpipe in Lebanon: A Mediation Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Trial
  7. Trial
  8. Trial
  9. Visual Attention to Health Warning Labels on Waterpipe Venue Menus in Immersive Virtual Reality.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
  10. Waterpipe Tobacco Warnings: An Experimental Study Among a Nationally Representative Sample of US Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Trial
  11. Testing the Effects of Hookah Tobacco Social Media Risk Communication Messages Among Young Adults.Health education & behavior : the official publication of the Society for Public Health Education · 2021
    Trial
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  14. Article
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  16. "Scary and Effective, Definitely Pushes Me to Quit Smoking": Developing Waterpipe Pictorial Health Warnings Targeting Young Adults in Lebanon.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
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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

5 authors.

Farahnaz IslamDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Ramzi G SalloumDepartment of Health Outcomes and Policy, and Institute for Child Health Policy, University of Florida College of Medicine, PO Box 100177, Gainesville, FL, 32610-0177, USA. rsalloum@ufl.edu.
Rima NakkashDepartment of Health Promotion and Community Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Wasim MaziakDepartment of Epidemiology, Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA.
James F ThrasherDepartment of Health, Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.

Funding

Advancing addiction research and capacity to guide tobacco control in the EasternR01DA035160 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI MAZIAK, WASIM · 2012 to 2017
$1.5M
NIDA NIH HHS R01 DA035160
6 · The paper itself

Abstract

objectivesYouth have the misperception that waterpipe smoking is less harmful than cigarettes despite the evidence that it is associated with nicotine dependence and many of the diseases caused by cigarettes. There is a pressing need to identify effective health warnings that increase awareness about the harmful effects of waterpipe smoking. Our objective was to test the effectiveness of various health warning messages and their location on waterpipe devices.

methodsAdult waterpipe smokers from a large US university (N = 367) completed an internet-based survey that tested the effect of text-only and pictorial health warning labels and their location on different parts of waterpipe smoking devices.

resultsText-only messages and pictorial labels warning about harm to children were the most effective in motivating waterpipe smokers to think about quitting. In terms of warning label location, the base, mouthpiece and stem are all equally noticeable locations.

conclusionsThis is the first study to test waterpipe-specific warning labels and location on the waterpipe device. Placing waterpipe-specific labels on waterpipe devices may be an effective policy tool to curb waterpipe smoking.

Indexed as

AdolescentAttitude to HealthAwarenessCross-Sectional StudiesFemaleHumansInternetMaleNicotianaProduct LabelingSmokingSmoking CessationSmoking PreventionSurveys and QuestionnairesTobacco Use DisorderUniversitiesHookahShishaWarning labelsWaterpipe

Identifiers

PMID26971508
PMCPMC4992403

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.