Evidence map›Paper›PMID 26353876›Full record

ArticleBMJ open2015

Eliciting preferences for waterpipe tobacco smoking using a discrete choice experiment: implications for product regulation.

Ramzi G Salloum, Wasim Maziak, David Hammond, Rima Nakkash, Farahnaz Islam, Xi Cheng, James F Thrasher

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. 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
  6. 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
  7. How tax structures for retail cannabis shape cannabis use among youth and young adults: evidence from a volumetric choice experiment.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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

7 authors.

Ramzi G SalloumDepartment of Health Outcomes and Policy, Institute for Child Health Policy, University of Florida College of Medicine, Gainesville, Florida, USA.
Wasim MaziakDepartment of Epidemiology, Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA Syrian Center for Tobacco Studies, Aleppo, Syria.
David HammondSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Rima NakkashDepartment of Health Promotion and Community Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Farahnaz IslamArnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Xi ChengArnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
James F ThrasherArnold School of Public Health, University of South Carolina, Columbia, South Carolina, 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

objectivesWaterpipe smoking is highly prevalent among university students, and has been increasing in popularity despite mounting evidence showing it is harmful to health. The aim of this study was to measure preferences for waterpipe smoking and determine which product characteristics are most important to smokers.

settingA large university in the Southeastern USA.

participantsAdult waterpipe smokers attending the university (N=367).

designParticipants completed an Internet-based discrete choice experiment to reveal their preferences for, and trade-offs between, the attributes of hypothetical waterpipe smoking sessions. Participants were presented with waterpipe lounge menus, each with three fruit-flavoured options and one tobacco flavoured option, in addition to an opt out option. Nicotine content and price were provided for each choice. Participants were randomised to either receive menus with a text-only health-warning message or no message. OUTCOME MEASURES: Multinomial and nested logit models were used to estimate the impact on consumer choice of attributes and between-subject assignment of health warnings respectively.

resultsOn average, participants preferred fruit-flavoured varieties to tobacco flavour. They were averse to options labelled with higher nicotine content. Females and non-smokers of cigarettes were more likely than their counterparts to prefer flavoured and nicotine-free varieties. Participants exposed to a health warning were more likely to opt out.

conclusionsFruit-flavoured tobacco and lower nicotine content labels, two strategies widely used by the industry, increase the demand for waterpipe smoking among young adults. Waterpipe-specific regulation should limit the availability of flavoured waterpipe tobacco and require accurate labelling of constituents. Waterpipe-specific tobacco control regulation, along with research to inform policy, is required to curb this emerging public health threat.

Indexed as

Choice BehaviorAdolescentAdultFemaleHumansMalePrevalencePublic HealthSmokingStudentsUnited StatesYoung AdultHEALTH ECONOMICSPREVENTIVE MEDICINE

Identifiers

PMID26353876
PMCPMC4567671

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.